What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
The document discusses Apache Camel, an open-source integration library that can be used to integrate disparate systems that use different protocols and data formats. It provides an overview of what integration is, describes how Camel works using a domain-specific language and components, and demonstrates how to define simple routes using Java or XML. The presentation concludes with information on management and tooling support for Camel.
The document discusses continuous delivery of integration applications using JBoss Fuse and OpenShift. It covers the cost of change in software development, how JBoss Fuse can help with integration challenges, and how OpenShift enables continuous delivery through automation and a developer self-service platform as a service model. The presentation demonstrates how to build a continuous delivery pipeline using tools like Git, Jenkins, Fabric8, and OpenShift to deploy and test applications.
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
This document provides an agenda and summaries of key points from a presentation on integrating systems using Apache Camel. The presentation discusses how Apache Camel is an open-source integration library that uses enterprise integration patterns to connect disparate systems. It highlights features of Camel including components, data formats, and testing frameworks. Customer examples are presented that demonstrate large returns on investment and cost savings from using Camel for integration projects. The presenters argue that Camel provides flexibility, reusability and rapid development of integrations.
Java one kubernetes, jenkins and microservicesChristian Posta
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
This document provides an agenda and overview for a presentation on Apache Camel essential components. The presentation is given by Christian Posta from Red Hat on January 23, 2013. The agenda includes an introduction to Camel, a discussion of components, and time for questions. An overview of FuseSource/Red Hat is given, noting the acquisition of FuseSource by Red Hat in 2012. Details are provided on the speaker and their background. The document focuses on introducing some of the most widely used and essential Camel components, including File, Bean, Log, JMS, CXF, and Mock. Configuration options and examples of using each component are summarized.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
This document provides an overview of Apache ActiveMQ, an open-source messaging server. It discusses ActiveMQ's features such as high performance, high availability, multiple protocols and transports. It also covers tools for benchmarking and performance tuning ActiveMQ brokers, including the ActiveMQ Performance Module, jms-benchmark, JMSTester, JMeter and OS monitoring tools. The document is intended to help understand how to approach performance tuning of ActiveMQ brokers.
This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Messaging is the backbone of many top enterprises. It affords reliable, asynchronous data passing to achieve loosely coupled, highly scalable distributed systems. As enterprises large and small become more interconnected, demand for remote and limited devices to be integrated with enterprise systems is surging. Come see how the most widely used, open-source messaging broker, Apache ActiveMQ, fits nicely and how it supports polyglot messaging.
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Cloud Development with Camel and Amazon Web ServicesRobin Howlett
This presentation will demonstrate how to rapidly prototype and develop distributed, scalable applications with Apache Camel, its AWS Components and the AWS Java SDK.
Robin Howlett is Senior Architect at Silver Chalice, a Chicago White Sox affiliated start-up, based in Boulder, CO, with a portfolio of high-value digital-based businesses in the fields of sports, media and entertainment. In 2011, he built the Advanced Media Platform, a proprietary cloud-based platform that services millions of requests per day across dozens of mobile application products, heavily utilizing the Apache Camel framework.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
Full Stack Development With Node.Js And NoSQL (Nic Raboy & Arun Gupta)Red Hat Developers
In this session, we'll talk about what's different about this generation of web applications and how a solid development approach must consider the latency, throughput, and interactivity demand by users across mobile devices, web browsers, and Internet of Things (IoT). We'll demonstrate how to include Couchbase in such applications to support a flexible data model and the easy scalability required for modern development. We'ill demonstrate how to create a full stack application focusing on the CEAN stack, which is composed of Couchbase, Express Framework, AngularJS, and Node.js.
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
This document provides an overview of a presentation given at CamelOne 2013 in Boston on June 10-11, 2013 about the internals of Apache ActiveMQ. The presentation covered the major subcomponents of ActiveMQ including transports, the broker core, persistence adapters, and networking brokers. It provided details on architecture, configuration, and implementation of these different aspects of ActiveMQ.
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
This document provides an overview of Apache ActiveMQ, an open-source messaging server. It discusses ActiveMQ's features such as high performance, high availability, multiple protocols and transports. It also covers tools for benchmarking and performance tuning ActiveMQ brokers, including the ActiveMQ Performance Module, jms-benchmark, JMSTester, JMeter and OS monitoring tools. The document is intended to help understand how to approach performance tuning of ActiveMQ brokers.
This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
Messaging is the backbone of many top enterprises. It affords reliable, asynchronous data passing to achieve loosely coupled, highly scalable distributed systems. As enterprises large and small become more interconnected, demand for remote and limited devices to be integrated with enterprise systems is surging. Come see how the most widely used, open-source messaging broker, Apache ActiveMQ, fits nicely and how it supports polyglot messaging.
This document provides an overview and agenda for a presentation on Apache ActiveMQ 5.9.x and Apache Apollo. The presentation will cover new features in ActiveMQ 5.9.x including AMQP 1.0 support, REST management, a new default file-based store using LevelDB, and high availability replication of the store. It will also introduce Apache Apollo and allow for a question and discussion period.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Cloud Development with Camel and Amazon Web ServicesRobin Howlett
This presentation will demonstrate how to rapidly prototype and develop distributed, scalable applications with Apache Camel, its AWS Components and the AWS Java SDK.
Robin Howlett is Senior Architect at Silver Chalice, a Chicago White Sox affiliated start-up, based in Boulder, CO, with a portfolio of high-value digital-based businesses in the fields of sports, media and entertainment. In 2011, he built the Advanced Media Platform, a proprietary cloud-based platform that services millions of requests per day across dozens of mobile application products, heavily utilizing the Apache Camel framework.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
Full Stack Development With Node.Js And NoSQL (Nic Raboy & Arun Gupta)Red Hat Developers
In this session, we'll talk about what's different about this generation of web applications and how a solid development approach must consider the latency, throughput, and interactivity demand by users across mobile devices, web browsers, and Internet of Things (IoT). We'll demonstrate how to include Couchbase in such applications to support a flexible data model and the easy scalability required for modern development. We'ill demonstrate how to create a full stack application focusing on the CEAN stack, which is composed of Couchbase, Express Framework, AngularJS, and Node.js.
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Microservices, DevOps, and Containers with OpenShift and Fabric8Christian Posta
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
DevOps with ActiveMQ, Camel, Fabric8, and HawtIO Christian Posta
DevOps and Continuous Delivery slides with Fabric8 (http://fabric8.io), HawtIO (http://hawt.io), Camel, ActiveMQ, Docker Jenkins, etc.
JavaOne 2016: Kubernetes introduction for Java Developers Rafael Benevides
This document provides an introduction to Kubernetes and summarizes some of its key concepts. It describes how Kubernetes can manage containers across multiple machines and help address challenges of scaling, port conflicts, and high availability. Core Kubernetes concepts discussed include pods, replication controllers, labels, services, and persistent volumes. It also provides an overview of a sample application that will be used in an accompanying Kubernetes lab.
Devops: Who Does What? - Devops Enterprise Summit 2016cornelia davis
Within the IT organizational structures that have dominated the last several decades roles and responsibilities are fairly standardized. But with the dramatic changes that DevOps practices and supporting toolsets bring, many are left feeling a bit off balance - it’s no longer clear who is responsible for even things as “straight-forward” as development or operations.
In this talk I will take traditional roles that are distributed across fairly standard IT structures and sort them into a new organizational context. What is the role of the Enterprise Architect? Who does capacity planning and how? How can change management step out of the way all while still satisfying the requirements of safe deployments? How do agile teams interface with personnel responsible for maintaining legacy systems? I’ll leave the audience with a blueprint for a new organizational structure.
Single tenant software to multi-tenant SaaS using K8SCloudLinux
This document discusses how Kubernetes can be used to convert single-tenant software applications into multi-tenant SaaS applications. Key points include:
1) Kubernetes can orchestrate each tenant as a separate pod or set of pods, providing isolation, easy scalability, and the ability to customize deployments for each tenant.
2) This approach simplifies many challenges of traditional SaaS like customer management, billing integration, high availability, upgrades and rollbacks by leveraging Kubernetes features.
3) An initial test project converted an existing PHP/MySQL billing application for 10,000+ companies into a multi-tenant SaaS deployment using Kubernetes, requiring under 40 hours of development.
Building Distributed Systems with Netflix OSS and Spring CloudMatt Stine
As presented at: http://www.meetup.com/Pivotal-Open-Source-Hub/events/219264521/
With the advent of microservice and cloud-native application architectures, building distributed systems is becoming increasingly common for the enterprise Java developer. Fortunately many of the innovators in the space, including Twitter, LinkedIn, and Netflix, have embraced the JVM as they’ve built increasingly complex systems, with Netflix open-sourcing much of its toolkit for constructing these systems at NetflixOSS.
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Many of these patterns are provided via wrapping the battle-tested components found at NetflixOSS.
Multi tier, multi-tenant, multi-problem kafkaTodd Palino
At LinkedIn, the Kafka infrastructure is run as a service: the Streaming team develops and deploys Kafka, but is not the producer or consumer of the data that flows through it. With multiple datacenters, and numerous applications sharing these clusters, we have developed an architecture with multiple pipelines and multiple tiers. Most days, this works out well, but it has led to many interesting problems. Over the years we have worked to develop a number of solutions, most of them open source, to make it possible for us to reliably handle over a trillion messages a day.
Securing MongoDB to Serve an AWS-Based, Multi-Tenant, Security-Fanatic SaaS A...MongoDB
MongoDB introduces new capabilities that change the way micro-services interact with the database, capabilities that are either absent or exist only partially in high-end commercial databases such as Oracle. In this session I will share from my experiences building a cloud-based, multi-tenant SaaS application with extreme security requirements. We will cover topics including considerations for storing multi-tenant data in the database, best practices for authentication and authorization, and performance considerations specific to security in MongoDB.
In an increasingly competitive marketplace, speed and business agility are paramount. And integration between customer-facing systems and back-end applications is more crucial than ever.
At this event, you'll learn how open source software built by communities, like Apache Camel, Docker, Kubernetes, OpenShift Origin, and Fabric8, can help organizations integrate services and establish effective continuous integration and delivery (CI/CD) pipelines.
A presentation on why or why not microservices, why a platform is important, discovering how to break down a monolith and some of the challenges you'll face (data, transactions, boundaries, etc). Last section is on Istio and service mesh introductions. Follow on twitter @christianposta for updates and more details
This document provides an overview of enterprise integration patterns (EIPs) and how they are implemented using Apache Camel and Project Fuji frameworks. It discusses core EIP principles like asynchronous messaging for integration. It also describes various EIP implementations like content-based routing, dead letter channels, and message transformation patterns. Code examples are shown using the Java and Spring DSLs for Apache Camel and the DSL and web UI for Project Fuji.
The document discusses various topics related to developing successful cloud services, including microservices architecture, Platform as a Service (PaaS), multi-tenancy, and DevOps. It defines a successful service as one that offers subscription-based delivery according to an international survey. Characteristics of successful services include automation, monetization through subscriptions, implementation using techniques like mashups and multi-tenancy, and using microservices focusing on separation of concerns. The document outlines a journey to developing successful services and discusses related topics like operational automation, revenue generation, implementation approaches, and microservices.
Better Enterprise Integration With the WSO2 ESB 4.5.1WSO2
The document summarizes new features and enhancements in WSO2 ESB 4.5.1. Key points include:
- WSO2 ESB is a lightweight, high performance and standards compliant ESB with support for routing, orchestration, filtering, transformation and other capabilities.
- New features in 4.5.1 include an EJB mediator, improved XSLT and JSON support, an MSMQ transport, and built-in multi-tenant support.
- The product now uses the WSO2 Carbon platform 4 for its core functionality, providing enhancements like management and worker node separation and improved deployment synchronization.
WebNet Conference 2012 - Designing complex applications using html5 and knock...Fabio Franzini
This document provides an overview of designing complex applications using HTML5 and KnockoutJS. It discusses HTML5 and why it is useful, introduces JavaScript and frameworks like KnockoutJS and SammyJS that help manage complexity. It also summarizes several JavaScript libraries and patterns including the module pattern, revealing module pattern, and MV* patterns. Specific libraries and frameworks discussed include RequireJS, AmplifyJS, UnderscoreJS, and LINQ.js. The document concludes with a brief mention of server-side tools like ScriptSharp.
Convertigo Mobilizer is the most advanced Open Source Mobile Application Development Platform for Enterprises, featuring all the required components needed to develop and to run cross-platform mobile enterprises application connected to enterprise's back-end business applications.
- Large variety of connectors to enterprise apps
- Mashup sequencer to orchestrate and combine data and processes from multiple enterprise apps.
- Cross-platform WebApp and Native app mobile application development tools for iOS, Android, Blackberry and Windows Phone platforms
- Security managers and Identity managers
- Mobile application updates and administration
- Monitoring and administration tools.
Convertigo can also be used for transactionnal portal integration and for SOA enablement of legacy web or Mainframe applications.
Convertigo Community Edition is AGPL based.
What’s new in Java SE, EE, ME, Embedded world & new StrategyMohamed Taman
The document provides an introduction and biography of Mohamed Taman. It states that he is a Systems Architect and Design Supervisor at "e-finance" and is involved with the JCP Executive Committee. It lists his other roles including being a board member of the "Oracle Egypt Architect Club" and being a frequent speaker at various conferences. It provides contact details and links to his blog and social media profiles.
This document provides an overview of using Mule to integrate with web services. It discusses building a bookstore web service using JAX-WS, generating a client, and configuring Mule with a CXF connector. It also covers transforming CSV book data to objects and sending to the web service, and transforming order objects to emails and sending via SMTP. The key steps are building the web service, generating a client, developing message transformers, and configuring Mule endpoints and routing.
Vert.x is an asynchronous application development framework that allows applications to be written in multiple programming languages including JavaScript, Ruby, Python, Groovy, and Java. It provides a simple and scalable model for concurrency using asynchronous event loops and message passing. Applications can leverage existing Java libraries while avoiding common concurrency issues. A key feature is the distributed event bus that allows communication across server and client components. Vert.x uses a modular system to compose applications from reusable components.
Whether you are building a mobile app or a web app, Apache Usergrid (incubating) can provide you with a complete backend that supports authentication, persistence and social features like activities and followers all via a comprehensive REST API — and backed by Cassandra, giving you linear scalability. This session will tell you what you need to know to be a Usergrid contributor, starting with the basics of building and running Usergrid from source code. You’ll learn how to find your way around the Usergrid code base, how the code for the Stack, Portal and SDKs and how to use the test infrastructure to test your changes to Usergrid. You’ll learn the Usergrid contributor workflow, how the project uses JIRA and Github to manage change and how to contribute your changes to the project. The session will also cover the Usergrid roadmap and what the community is currently working on.
This document summarizes a presentation about serverless and mobile applications. It includes:
- An introduction focusing on startups, mobile apps, serverless computing, blockchain, and fintech.
- Details about AWS AppSync and its Todo data model.
- Information on request and response mapping templates in AWS Lambda.
- An overview of delta sync using AppSync, base queries, subscriptions, and delta queries.
- Notes on serverless technologies like AWS Lambda and its supported runtimes.
- Resources on serverless best practices and architectures using Lambda, API Gateway, and other AWS services.
Igor Moochnick is the director of cloud platforms at BlueMetal Architects. BlueMetal provides services focused on creative and interactive services, mobile applications, web and RIA clients, and enterprise collaboration using platforms like Apple, Amazon, Microsoft, and open source software. BlueMetal prioritizes deep discovery of customer needs, agile development with small integrated teams, and delivering end-to-end solutions through their engineering and creative capabilities.
The use of Serverless computing has reached a point where any serious company would be foolish to ignore its cost savings and other benefits against a wide array of proven use cases. From API Management, Artificial Intelligence (AI) and Cognitive to DevOps, Mobile and the Internet-of-Things (IoT), Serverless is proving itself as an accessible means for efficiently processing and transforming data in large volumes, on-demand, with little or no operational considerations for developers. As Serverless adoption increases, what are the considerations and implications for the Java developer and as a language going forward? We will explore this question from the perspective of the speaker, who was an early Java fan and developer, but whose path diverged to projects that used other popular languages and today serves as a Serverless technologist who understands the mind-set and expectations of Serverless developers
OpenSource API Server based on Node.js API framework built on supported Node.js platform with Tooling and DevOps. Use cases are Omni-channel API Server, Mobile Backend as a Service (mBaaS) or Next Generation Enterprise Service Bus. Key functionality include built in enterprise connectors, ORM, Offline Sync, Mobile and JS SDKs, Isomorphic JavaScript and Graphical API creation tool.
This document discusses real-time web applications and technologies. It defines real-time apps as allowing bi-directional communication between clients and servers so that users receive information as soon as it is published. Examples include chat, social media, gaming and notifications. Key implementation methods discussed are HTTP polling, streaming and WebSockets. The document also surveys popular real-time libraries for publish/subscribe, data syncing and hybrid approaches.
This document provides an overview and introduction to Apache Camel, an open-source integration library. It discusses what integration is and why it is difficult. It then introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and components to provide routing, mediation, and transformation capabilities. The document provides examples of how to define integration logic in Camel using Java and XML domain-specific languages. It also discusses Camel's support for enterprise integration patterns, pre-built components, testing framework, and management capabilities.
What Istio Got Wrong: Learnings from the last seven years of service meshChristian Posta
Building complex systems often requires simplicity in components—a lesson the Istio project has learned throughout its seven(plus)-year journey. Although Istio offers a lot of powerful features for application networking, crucial for many organizations, the path to maturity and broader adoption was fraught with challenges. In this talk, we explore the key mistakes made during Istio's development, including its initially complex architecture, an overload of features, premature release of version 1.0, difficulties faced by contributors, and delays in joining the CNCF. We will discuss the impact of these mistakes, how these missteps were addressed, and how they have positioned Istio as a leader in the service mesh market. This presentation will detail how Istio's evolution reflects a shift towards simpler, more modular components that together offer effective solutions for managing APIs and service-to-service communication regardless of platform.
Move Auth, Policy, and Resilience to the PlatformChristian Posta
Developer's time is the most crucial resource in an enterprise IT organization. Too much time is spent on undifferentiated heavy lifting and in the world of APIs and microservices much of that is spent on non-functional, cross-cutting networking requirements like security, observability, and resilience.
As organizations reconcile their DevOps practices into Platform Engineering, tools like Istio help alleviate developer pain. In this talk we dig into what that pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases. As this space continues to emerge, and innovation has not slowed, we will also discuss the recently announced Istio sidecar-less mode which significantly reduces the hurdles to adopt Istio within Kubernetes or outside Kubernetes.
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload IdentityChristian Posta
Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
- How Zero Trust Architecture (ZTA) can help, and
- How Istio ambient mesh lowers the barrier for establishing the properties necessary to achieve Zero Trust and compliance
The document discusses Cilium and Istio with Gloo Mesh. It provides an overview of Gloo Mesh, an enterprise service mesh for multi-cluster, cross-cluster and hybrid environments based on upstream Istio. Gloo Mesh focuses on ease of use, powerful best practices built in, security, and extensibility. It allows for consistent API for multi-cluster north-south and east-west policy, team tenancy with service mesh as a service, and driving everything through GitOps.
This document discusses service mesh patterns for connecting microservices across multiple clusters. It describes using Envoy proxy to provide service discovery, load balancing, security and resiliency. Patterns are presented for connecting services across clusters with flat, controlled or separate networks. Managing connectivity across clusters can increase operator burden. Gloo Mesh is presented as a way to simplify management across multiple clusters with a centralized control plane.
Multicluster Kubernetes and Service Mesh PatternsChristian Posta
Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service MeshChristian Posta
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)Christian Posta
Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo EnterpriseChristian Posta
Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoptionChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and LinkerdChristian Posta
The document discusses various service mesh options including Linkerd, Consul Connect, Istio, and AWS App Mesh. It provides an overview of each solution, describing their key features and strengths/opportunities. It emphasizes that the service mesh approach is useful for managing inter-service communication and that implementations are still evolving. It recommends starting simply and iteratively adopting capabilities to match needs.
Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...Christian Posta
If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMeshChristian Posta
Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
The document summarizes the new features of Istio 1.1, an open-source service mesh. Some key highlights include improved performance and scalability, namespace isolation, multi-cluster capabilities, easier installation with Helm, and locality-aware load balancing. A new Sidecar resource was introduced to improve performance by configuring resources for individual proxies. The presentation demonstrates performance improvements with the Sidecar resource and highlights additional functionality in Istio like traffic control and metrics collection.
API Gateways are going through an identity crisisChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you've been following the rise in service-mesh technologies, you'll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
Here's a more detailed breakdown:
Motion Graphics:
.
After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations.
Visual Effects:
.
It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements.
Video Compositing:
.
After Effects allows users to combine multiple video clips, images, and graphics to create a final, cohesive visual.
Animation:
.
It uses keyframes to create smooth, animated sequences, allowing for precise control over the movement and appearance of objects.
Integration with Adobe Creative Cloud:
.
After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro.
Post-Production Tool:
.
After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
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When you say Xforce with GTA 5, it sounds like you might be talking about Xforce Keygen — a tool that's often mentioned in connection with cracking software like Autodesk programs.
BUT, when it comes to GTA 5, Xforce isn't officially part of the game or anything Rockstar made.
If you're seeing "Xforce" related to GTA 5 downloads or cracks, it's usually some unofficial (and risky) tool for pirating the game — which can be super dangerous because:
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
Agentic AI Use Cases using GenAI LLM modelsManish Chopra
This document presents specific use cases for Agentic AI (Artificial Intelligence), featuring Large Language Models (LLMs), Generative AI, and snippets of Python code alongside each use case.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
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"YouTube by Click" likely refers to the ByClick Downloader software, a video downloading and conversion tool, specifically designed to download content from YouTube and other video platforms. It allows users to download YouTube videos for offline viewing and to convert them to different formats.
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
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Why Use Illustrator?
Professional-Grade Features:
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Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
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Creative Freedom:
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Revitalizing a high-volume, underperforming Salesforce environment requires a structured, phased plan. The objective for company is to stabilize, scale, and future-proof the platform.
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Mastering OOP: Understanding the Four Core PillarsMarcel David
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Dive into the essential concepts of Object-Oriented Programming (OOP) with a detailed explanation of its four key pillars: Encapsulation, Inheritance, Polymorphism, and Abstraction. Understand how these principles contribute to robust, maintainable, and scalable software development.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
14. A term that helps describe distributed systems
that organically evolve into scalable, loosely
coupled, modular sets of services that work
together to deliver business value
with acceptable tradeoffs.
So what are microservices?
15. • If my services are isolated at the
process level, I’m doing
#microservices
• If I use REST/Thrift/ProtoBuf
instead of SOAP, I’m doing
#microservices
• If I use JSON, I’m doing
#microservices
• If I use no-container / SpringBoot
/ Dropwizard / embedded Jetty,
I’m doing #microservices
I’m doing microservices if…
16. • Agile methodology
• SOA principles
• Domain Driven Design
• Hexagonal Architectures
• Pipes and Filters
• Actor Model
• REST
• SEDA
Microservices emerged as a result…
19. • No silver bullet; distributed systems are
*hard*
• Dependency hell, custom shared libraries
• Fragmented and inconsistent management
• Team communication challenges
• Health checking, monitoring, liveness
• Over architecting, performance concerns,
things spiraling out of control fast
Challenges ahead…
22. 2
Apache Camel
Apache Camel is an open-source,
light-weight, integration library.
Use Camel to integrate disparate systems
that speak different protocols and data
formats
24. Features
● Enterprise Integration Patterns (EIPs)
● Domain Specific Language to write “flows” or “routes”
● Large collection of adapters/components for legacy
systems, B2B, and SaaS
● Strong Unit test/Integration test framework
● Expression languages
● Data Formats
● Tooling with JBoss Developer Studio
25. Java DSL
public class OrderProcessorRouteBuilder extends RouteBuilder {
@Override
public void configure() throws Exception {
from(“activemq:orders”)
.choice()
.when(header(“customer-rating”).isEqualTo(“gold”))
.to(“ibmmq:topic:specialCustomer”)
.otherwise()
.to(“ftp://user@host/orders/regularCustomers”)
.end()
.log(“received new order ${body.orderId}”)
.to(“ibatis:storeOrder?statementType=Insert”);
}
}
26. Spring XML DSL
<route id=“processOrders”>
<from uri=“activemq:orders”/>
<choice>
<when>
<simple>${header.customer-rating} == ‘gold’</simple>
<to uri=“wmq:topic:specialCustomer”>
</when>
<otherwise>
<to uri=“ftp://user@host/orders/regularCustomers” />
</otherwise>
</choice>
<log message=“received new order ${body.orderId}”/>
<to uri=“ibatis:storeOrder?statementType=Insert”/>
</route>
29. • “Smart endpoints, dumb pipes”
• Endpoint does one thing well
• Metadata used for further routing
• Really “dynamic” with rules engine (eg,
Drools/BRMS)
Dynamic Routing
30. • Content Based Router
• Dynamic Router
• Routing Slip
• Recipient List
Dynamic Routing
31. • Expressive way to define REST endpoints
• POST, REST, PUT
• Auto binding to POJOs
• Plugs into Swagger for interface
definition/documentation
• Uses configurable HTTP engine
• camel-netty-http
• camel-jetty
• camel-reslet
• camel-sevlet (deploy into other containers)
• camel-spark-rest
REST DSL (2.14)
32. REST DSL
public class OrderProcessorRouteBuilder extends RouteBuilder {
@Override
public void configure() throws Exception {
rest().post(“/order/socks”)
.description(“New Order for pair of socks”)
.consumes(“application/json”)
.route()
.to(“activemq:topic:newOrder”)
.log(“received new order ${body.orderId}”)
.to(“ibatis:storeOrder?statementType=Insert”);
}
}
33. • Backpressure is a way for a service to flow
control callers
• Detecting when can be difficult
• Need to bound processing queues in a
SEDA
• Take advantage of built in TCP flow control
for socket/http requests
Backpressure with Camel
34. • Throttle EIP
• http://camel.apache.org/throttler.html
• Blocking SEDA Queue
• from(“seda:name?size=100&blockWhenFull=true)
• Configure jetty/netty to use blocking acceptor
queues
• https://wiki.eclipse.org/Jetty/Howto/High_Load
• Using Exception handling/retry and DLQ
logic when getting flow controlled
• http://camel.apache.org/error-handling-in-camel.html
Backpressure with Camel
35. • Useful to keep from overloading a system
(use in conjunction with backpressure if you
can)
• Smart loadbalancing
• Sticky
• Random
• Failover
• Circuit breaker
Loadbalance/Circuit breaker
41. RED HAT JBOSS FUSE
Development and tooling
Develop, test, debug, refine,
deploy
JBoss Developer Studio
Web services framework
Web services standards, SOAP,
XML/HTTP, RESTful HTTP
Integration framework
Transformation, mediation, enterprise
integration patterns
Management and
monitoring
System and web services metrics,
automated discovery, container
status, automatic updates
JBoss Operations Network
+
JBoss Fabric Management
Console
(hawtio)
Apache CXF Apache Camel
Reliable Messaging
JMS/STOMP/NMS/MQTT, publishing-subscribe/point-2-point, store and forward
Apache ActiveMQ
Container
Life cycle management, resource management, dynamic deployment,
security and provisioning
Apache Karaf + Fuse Fabric
RED HAT ENTERPRISE LINUX
Windows, UNIX, and other Linux
45. • Simplifies deployments
• Provides centralized configuration
• Versioning
• Visualization of your middleware
• Service discovery
• Smart load balancing
• Failover
• Provides cluster capabilities, coordination
http://fabric8.io
46. • Implemented with Zookeeper and git
• Intended to be used with a dynamic
JVM/Apache Karaf
• Profiles store configuration, metadata, end-
state deployments
• Networking, JVM isolation, orchestration,
auto-scaling, health checks, cloud
deployments: all up to you
Fabric8 V1.x
47. • Registry
• Where configs are stored, everything centrally
managed
• Profiles
• Description of end-state deployment of a server
• Agent
• Listens on the server that can respond to registry
changes/profile updates
Fabric8 V1.x
49. • Implemented with Docker and Kubernetes
• Use any JVM (or any technology)
• Docker images, encourage static, well-
defined, well-tested deployments
• Provides networking, JVM isolation,
orchestration, auto-scaling, health checks,
cloud deployments
• Still in community! Proving this out!
Fabric8 V2