Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Kafka is a real-time, fault-tolerant, scalable messaging system.
It is a publish-subscribe system that connects various applications with the help of messages - producers and consumers of information.
Spring Framework Petclinic sample applicationAntoine Rey
Spring Petclinic is a sample application that has been designed to show how the Spring Framework can be used to build simple but powerful database-oriented applications.
The fork named Spring Framework Petclinic maintains a version both with a plain old Spring Framework configuration and a 3-layer architecture (i.e. presentation --> service --> repository).
The document provides an overview of Spring Cloud, including:
- Spring Cloud aims to provide tools for building distributed systems using familiar Spring tools. It wraps other implementation stacks to be consumed via Spring.
- Core components include service discovery with Eureka, client-side load balancing with Ribbon, and circuit breaking with Hystrix.
- Additional tools include the Feign REST client, API gateway capabilities, and integration with Spring Boot.
- Examples demonstrate basic configurations for service registration, load balancing between instances, and using circuit breakers and fallback methods.
This document provides an overview of microservices architecture, including concepts, characteristics, infrastructure patterns, and software design patterns relevant to microservices. It discusses when microservices should be used versus monolithic architectures, considerations for sizing microservices, and examples of pioneers in microservices implementation like Netflix and Spotify. The document also covers domain-driven design concepts like bounded context that are useful for decomposing monolithic applications into microservices.
Streaming with Spring Cloud Stream and Apache Kafka - Soby ChackoVMware Tanzu
Spring Cloud Stream is a framework for building microservices that connect and integrate using streams of events. It supports Kafka, RabbitMQ, and other middleware. Kafka Streams is a client library for building stateful stream processing applications against Apache Kafka clusters. With Spring Cloud Stream, developers can write Kafka Streams applications using Java functions and have their code deployed and managed. This allows building stream processing logic directly against Kafka topics in a reactive, event-driven style.
Apache Kafka is a fast, scalable, and distributed messaging system. It is designed for high throughput systems and can serve as a replacement for traditional message brokers. Kafka uses a publish-subscribe messaging model where messages are published to topics that multiple consumers can subscribe to. It provides benefits such as reliability, scalability, durability, and high performance.
The document provides an overview of microservices architecture. It discusses key characteristics of microservices such as each service focusing on a specific business capability, decentralized governance and data management, and infrastructure automation. It also compares microservices to monolithic and SOA architectures. Some design styles enabled by microservices like domain-driven design, event sourcing, and functional reactive programming are also covered at a high level. The document aims to introduce attendees to microservices concepts and architectures.
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Rasheed Amir presents on Spring Boot. He discusses how Spring Boot aims to help developers build production-grade Spring applications quickly with minimal configuration. It provides default functionality for tasks like embedding servers and externalizing configuration. Spring Boot favors convention over configuration and aims to get developers started quickly with a single focus. It also exposes auto-configuration for common Spring and related technologies so that applications can take advantage of them without needing to explicitly configure them.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
Spring IO 2023 - Dynamic OpenAPIs with Spring Cloud GatewayIván López Martín
Imagine this scenario. You follow an OpenAPI-first approach when designing your services. You have a distributed architecture with multiple services and all of them expose a RESTful API and have their OpenAPI Specification. Now you use Spring Cloud Gateway in front of them so you can route the requests to the appropriate service and apply cross-cutting concerns. But, what happens with the OpenAPI of every service? It would be great if you could generate a unique OpenAPI for the whole system in the Gateway. You could also expose and transform only selected endpoints when defining them as public. And what about the routes? You would like to reconfigure them dynamically and on-the-fly in the Gateway when there is a change in a service, right?
Stop imagining. In this talk, I will show you how we have done that in our product and how we are leveraging the programmatic Spring Cloud Gateway API to reconfigure the routes on the fly. You will also see it in action during the demo!
MicroCPH - Managing data consistency in a microservice architecture using SagasChris Richardson
This document summarizes Chris Richardson's presentation on using sagas to maintain data consistency in a microservices architecture. Richardson explains that ACID transactions cannot be used across services due to limitations of distributed transactions. Instead, sagas can be used, where each service performs a local transaction and messages are passed between services. There are two main approaches to coordinating sagas: choreography-based using domain events, and orchestration-based where a central saga manages the process. Countermeasures like semantic locking are also needed to prevent data anomalies from the lack of isolation in sagas.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
[email protected]
오늘날 빅데이터 분석, 처리부터 모든 개발 플랫폼을 연결해주는 카프카의 등장 배경과 의미를 살펴보고, 실무에서 적용한 경험을 바탕으로 적절한 카프카 사용 사례를 정비해 보겠습니다. 또한 카프카의 내부 구동 방식에 대하여 소개하는 시간을 갖겠습니다. 마지막으로 실무에서 카프카를 운영하면서 경험한 구성, 운영 및 모니터링 등 경험을 공유하는 시간입니다. (by. 카카오 고승범)
* 본 세션은 “입문자/초급자/중급자” 분들께 두루 적합한 세션입니다.
Building a Data Exchange with Spring Cloud Data FlowVMware Tanzu
This document discusses building a data exchange using Spring Cloud Data Flow. It begins with an introduction to Spring Cloud Data Flow and what a data exchange is. It then discusses a case study of a company that built a data exchange to replace an aging legacy system. Key lessons learned from the case study include considerations around the underlying transport, total cost of ownership, keeping current with technologies, and planning for retirement of legacy systems.
Domain Driven Design 기반의 마이크로서비스 디자인 방법론에 대해 설명을 하고 피보탈이 권장하는 모노리스 애플리케이션의 마이크로서비스 전환 방법론에 대해 살펴봅니다. 또한 실제 마이크로서비스 프로젝트에서 발생할 수 있는 우려사항들에 대해서도 국내 프로젝트 경험을 바탕으로 짚어봅니다.
A pattern language for microservices - June 2021 Chris Richardson
The microservice architecture is growing in popularity. It is an architectural style that structures an application as a set of loosely coupled services that are organized around business capabilities. Its goal is to enable the continuous delivery of large, complex applications. However, the microservice architecture is not a silver bullet and it has some significant drawbacks.
The goal of the microservices pattern language is to enable software developers to apply the microservice architecture effectively. It is a collection of patterns that solve architecture, design, development and operational problems. In this talk, I’ll provide an overview of the microservice architecture and describe the motivations for the pattern language. You will learn about the key patterns in the pattern language.
Youtube Link: https://youtu.be/CXTiwkZVoZI
( Microservices Architecture Training: https://www.edureka.co/microservices-architecture-training )
This Edureka's PPT on Spring Boot Interview Questions talks about the top questions asked related to Spring Boot.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Hibernate has several core framework objects that represent the different components of the architecture. The SessionFactory acts as a factory for Session objects and caches compiled object mappings. Each Session represents a single-threaded conversation with the database and manages a level one cache and transactions. Persistent objects are associated with a Session and represent the data model, while transient and detached objects are not associated with a Session. Transactions demarcate atomic units of work and are represented by the Transaction object. The ConnectionProvider manages connections to the database and abstracts the application from the underlying data source.
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
Hibernate is an open source object-relational mapping tool that allows Java objects to be mapped to database tables. It allows developers to interact with a database using plain Java objects instead of SQL statements. Some key features of Hibernate include object-relational mapping, lazy loading of collections, polymorphic queries, and transaction management. Hibernate handles persistence by automatically storing and loading objects from a database.
Kick your database_to_the_curb_reston_08_27_19confluent
This document discusses using Kafka Streams interactive queries to enable powerful microservices by making stream processing results queryable in real-time. It provides an overview of Kafka Streams, describes how to embed an interactive query server to expose stateful stream processing results via HTTP endpoints, and demonstrates how to securely query processing state from client applications.
Learn Cloud-Native .NET: Core Configuration Fundamentals with SteeltoeVMware Tanzu
How do you avoid a messy jumble of configuration management? First, you can rule out holding settings internally to the app. Hard coding values in a compiled artifact limits almost everything about an application’s ability to scale. Attaching a .config file to each instance of the application is also not reasonable. (Yes, your externalized config values from the artifact.) But you’re no better off with managing and updating things.
This class will visit the Microsoft.Extensions.Configuration package and the many options it offers .NET Core developers. We’ll cover everything from using the default providers (and what’s going on under the covers) to custom providers implemented in Steeltoe. There are many stops in between where developers can achieve the best mix of business requirements and technical needs.
Attend this class to learn the following:
● How to use external configurations with Spring Config using Steeltoe
● Best practices for externalizing configuration
● How to get the most from Spring Config without adding complexity
David Dieruf, Principal Product Marketing Manager, Pivotal
Apache Kafka is a fast, scalable, and distributed messaging system. It is designed for high throughput systems and can serve as a replacement for traditional message brokers. Kafka uses a publish-subscribe messaging model where messages are published to topics that multiple consumers can subscribe to. It provides benefits such as reliability, scalability, durability, and high performance.
The document provides an overview of microservices architecture. It discusses key characteristics of microservices such as each service focusing on a specific business capability, decentralized governance and data management, and infrastructure automation. It also compares microservices to monolithic and SOA architectures. Some design styles enabled by microservices like domain-driven design, event sourcing, and functional reactive programming are also covered at a high level. The document aims to introduce attendees to microservices concepts and architectures.
Spring Boot allows creating standalone Spring applications with minimal configuration. It makes assumptions about dependencies and provides default configurations. It aims to provide a faster development experience for Spring. Some key Spring Boot components include auto-configuration, core functionality, CLI, actuator for monitoring, and starters for common dependencies. To use Spring Boot, create a project with the Spring Initializr, add code and configurations, then build a jar file that can be run standalone.
Rasheed Amir presents on Spring Boot. He discusses how Spring Boot aims to help developers build production-grade Spring applications quickly with minimal configuration. It provides default functionality for tasks like embedding servers and externalizing configuration. Spring Boot favors convention over configuration and aims to get developers started quickly with a single focus. It also exposes auto-configuration for common Spring and related technologies so that applications can take advantage of them without needing to explicitly configure them.
If you’re working with just a few containers, managing them isn't too complicated. But what if you have hundreds or thousands? Think about having to handle multiple upgrades for each container, keeping track of container and node state, available resources, and more. That’s where Kubernetes comes in. Kubernetes is an open source container management platform that helps you run containers at scale. This talk will cover Kubernetes components and show how to run applications on it.
Spring IO 2023 - Dynamic OpenAPIs with Spring Cloud GatewayIván López Martín
Imagine this scenario. You follow an OpenAPI-first approach when designing your services. You have a distributed architecture with multiple services and all of them expose a RESTful API and have their OpenAPI Specification. Now you use Spring Cloud Gateway in front of them so you can route the requests to the appropriate service and apply cross-cutting concerns. But, what happens with the OpenAPI of every service? It would be great if you could generate a unique OpenAPI for the whole system in the Gateway. You could also expose and transform only selected endpoints when defining them as public. And what about the routes? You would like to reconfigure them dynamically and on-the-fly in the Gateway when there is a change in a service, right?
Stop imagining. In this talk, I will show you how we have done that in our product and how we are leveraging the programmatic Spring Cloud Gateway API to reconfigure the routes on the fly. You will also see it in action during the demo!
MicroCPH - Managing data consistency in a microservice architecture using SagasChris Richardson
This document summarizes Chris Richardson's presentation on using sagas to maintain data consistency in a microservices architecture. Richardson explains that ACID transactions cannot be used across services due to limitations of distributed transactions. Instead, sagas can be used, where each service performs a local transaction and messages are passed between services. There are two main approaches to coordinating sagas: choreography-based using domain events, and orchestration-based where a central saga manages the process. Countermeasures like semantic locking are also needed to prevent data anomalies from the lack of isolation in sagas.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
[email protected]
오늘날 빅데이터 분석, 처리부터 모든 개발 플랫폼을 연결해주는 카프카의 등장 배경과 의미를 살펴보고, 실무에서 적용한 경험을 바탕으로 적절한 카프카 사용 사례를 정비해 보겠습니다. 또한 카프카의 내부 구동 방식에 대하여 소개하는 시간을 갖겠습니다. 마지막으로 실무에서 카프카를 운영하면서 경험한 구성, 운영 및 모니터링 등 경험을 공유하는 시간입니다. (by. 카카오 고승범)
* 본 세션은 “입문자/초급자/중급자” 분들께 두루 적합한 세션입니다.
Building a Data Exchange with Spring Cloud Data FlowVMware Tanzu
This document discusses building a data exchange using Spring Cloud Data Flow. It begins with an introduction to Spring Cloud Data Flow and what a data exchange is. It then discusses a case study of a company that built a data exchange to replace an aging legacy system. Key lessons learned from the case study include considerations around the underlying transport, total cost of ownership, keeping current with technologies, and planning for retirement of legacy systems.
Domain Driven Design 기반의 마이크로서비스 디자인 방법론에 대해 설명을 하고 피보탈이 권장하는 모노리스 애플리케이션의 마이크로서비스 전환 방법론에 대해 살펴봅니다. 또한 실제 마이크로서비스 프로젝트에서 발생할 수 있는 우려사항들에 대해서도 국내 프로젝트 경험을 바탕으로 짚어봅니다.
A pattern language for microservices - June 2021 Chris Richardson
The microservice architecture is growing in popularity. It is an architectural style that structures an application as a set of loosely coupled services that are organized around business capabilities. Its goal is to enable the continuous delivery of large, complex applications. However, the microservice architecture is not a silver bullet and it has some significant drawbacks.
The goal of the microservices pattern language is to enable software developers to apply the microservice architecture effectively. It is a collection of patterns that solve architecture, design, development and operational problems. In this talk, I’ll provide an overview of the microservice architecture and describe the motivations for the pattern language. You will learn about the key patterns in the pattern language.
Youtube Link: https://youtu.be/CXTiwkZVoZI
( Microservices Architecture Training: https://www.edureka.co/microservices-architecture-training )
This Edureka's PPT on Spring Boot Interview Questions talks about the top questions asked related to Spring Boot.
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
Hibernate has several core framework objects that represent the different components of the architecture. The SessionFactory acts as a factory for Session objects and caches compiled object mappings. Each Session represents a single-threaded conversation with the database and manages a level one cache and transactions. Persistent objects are associated with a Session and represent the data model, while transient and detached objects are not associated with a Session. Transactions demarcate atomic units of work and are represented by the Transaction object. The ConnectionProvider manages connections to the database and abstracts the application from the underlying data source.
Watch this talk here: https://www.confluent.io/online-talks/apache-kafka-architecture-and-fundamentals-explained-on-demand
This session explains Apache Kafka’s internal design and architecture. Companies like LinkedIn are now sending more than 1 trillion messages per day to Apache Kafka. Learn about the underlying design in Kafka that leads to such high throughput.
This talk provides a comprehensive overview of Kafka architecture and internal functions, including:
-Topics, partitions and segments
-The commit log and streams
-Brokers and broker replication
-Producer basics
-Consumers, consumer groups and offsets
This session is part 2 of 4 in our Fundamentals for Apache Kafka series.
Everything You Need To Know About Persistent Storage in KubernetesThe {code} Team
This document discusses Kubernetes persistent storage options for stateful applications. It covers common use cases that require persistence like databases, messaging systems, and content management systems. It then describes Kubernetes persistent volume (PV), persistent volume claim (PVC), and storage class objects that are used to provision and consume persistent storage. Finally, it compares deployments with statefulsets and covers other volume types like emptyDir, hostPath, daemonsets and their use cases.
Hibernate is an open source object-relational mapping tool that allows Java objects to be mapped to database tables. It allows developers to interact with a database using plain Java objects instead of SQL statements. Some key features of Hibernate include object-relational mapping, lazy loading of collections, polymorphic queries, and transaction management. Hibernate handles persistence by automatically storing and loading objects from a database.
Kick your database_to_the_curb_reston_08_27_19confluent
This document discusses using Kafka Streams interactive queries to enable powerful microservices by making stream processing results queryable in real-time. It provides an overview of Kafka Streams, describes how to embed an interactive query server to expose stateful stream processing results via HTTP endpoints, and demonstrates how to securely query processing state from client applications.
Learn Cloud-Native .NET: Core Configuration Fundamentals with SteeltoeVMware Tanzu
How do you avoid a messy jumble of configuration management? First, you can rule out holding settings internally to the app. Hard coding values in a compiled artifact limits almost everything about an application’s ability to scale. Attaching a .config file to each instance of the application is also not reasonable. (Yes, your externalized config values from the artifact.) But you’re no better off with managing and updating things.
This class will visit the Microsoft.Extensions.Configuration package and the many options it offers .NET Core developers. We’ll cover everything from using the default providers (and what’s going on under the covers) to custom providers implemented in Steeltoe. There are many stops in between where developers can achieve the best mix of business requirements and technical needs.
Attend this class to learn the following:
● How to use external configurations with Spring Config using Steeltoe
● Best practices for externalizing configuration
● How to get the most from Spring Config without adding complexity
David Dieruf, Principal Product Marketing Manager, Pivotal
KSQL is a stream processing SQL engine, which allows stream processing on top of Apache Kafka. KSQL is based on Kafka Stream and provides capabilities for consuming messages from Kafka, analysing these messages in near-realtime with a SQL like language and produce results again to a Kafka topic. By that, no single line of Java code has to be written and you can reuse your SQL knowhow. This lowers the bar for starting with stream processing significantly.
KSQL offers powerful capabilities of stream processing, such as joins, aggregations, time windows and support for event time. In this talk I will present how KSQL integrates with the Kafka ecosystem and demonstrate how easy it is to implement a solution using KSQL for most part. This will be done in a live demo on a fictitious IoT sample.
[WSO2Con Asia 2018] Patterns for Building Streaming AppsWSO2
This slide deck explains how to enable digital transformation through streaming analytics and how easily streaming applications can be implemented
Learn more: https://wso2.com/library/conference/2018/08/wso2con-asia-2018-patterns-for-building-streaming-apps/
Spring and Cloud Foundry; a Marriage Made in HeavenJoshua Long
Spring and Cloud Foundry: a Marriage Made in Heaven. This talk introduces how to build Spring applications on top of Cloud Foundry, the open source PaaS from VMware
Building a Real-time Streaming ETL Framework Using ksqlDB and NoSQLScyllaDB
Event streaming applications unlock new benefits by combining various data feeds. However, getting actionable insights in a timely fashion has remained a challenge, as the data has been siloed in disparate systems. ksqlDB solves this by providing an interactive SQL interface that can seamlessly combine and transform data from various sources.
In this webinar, we will show how streaming queries of high throughput NoSQL systems can derive insights from various push/pull queries via ksqlDB's User-Defined Functions, Aggregate Functions and Table Functions.
Event streaming applications unlock new benefits by combining various data feeds. However, getting actionable insights in a timely fashion has remained a challenge, as the data has been siloed in disparate systems. ksqlDB solves this by providing an interactive SQL interface that can seamlessly combine and transform data from various sources.
In this webinar, we will show how streaming queries of high throughput NoSQL systems can derive insights from various push/pull queries via ksqlDB's User-Defined Functions, Aggregate Functions and Table Functions.
Watch this to learn:
Real-world examples of the benefits of using a streaming database like ksqlDB and seamlessly combining data from Kafka & Cassandra/Scylla (NoSQL).
The functionality of ksqlDB via push/pull queries and UDFs/UDAFs/UDTFs.
The ease with which data stored in a NoSQL database can be transformed using ksqlDB and then persisted back for long-term storage.
[WSO2Con EU 2017] Streaming Analytics Patterns for Your Digital EnterpriseWSO2
The WSO2 analytics platform provides a high performance, lean, enterprise-ready, streaming solution to solve data integration and analytics challenges faced by connected businesses. This platform offers real-time, interactive, machine learning and batch processing technologies that empower enterprises to build a digital business. This session explores how to enable digital transformation by building a data analytics platform.
AWS Summit Singapore 2019 | Autoscaling Your Kubernetes WorkloadsAWS Summits
This document discusses autoscaling Kubernetes workloads using the Horizontal Pod Autoscaler (HPA). It provides a history of the HPA's development, how to choose an autoscaling metric, and implement autoscaling using a custom metric from Datadog. The document demonstrates setting up a Datadog cluster agent, registering it as an external metrics provider, and creating an HPA that scales a deployment based on a Datadog metric.
Data Works MD July 2021 - https://www.meetup.com/DataWorks/events/278394107/
Video - https://youtu.be/WXA1yX8O3Lc
-------------------------------------------------
Introducing Datawave: Scalable Data Ingest and Query on Apache Accumulo
Out of the box, Accumulo's strengths are difficult to appreciate without first building an application that showcases its capabilities to handle massive amounts of data. Unfortunately, building such an application is non-trivial for many would-be users, which affects Accumulo's adoption.
In this talk, we introduce Datawave, a complete ingest, query, and analytic framework for Accumulo. Datawave, recently open-sourced by the National Security Agency, capitalizes on Accumulo's capabilities, provides an API for working with structured and unstructured data, and boasts a robust, flexible, and scalable backend.
We'll do a deep dive into Datawave's project layout, table structures, and APIs in addition to demonstrating the Datawave quickstart—a tool that makes it incredibly easy to hit the ground running with Accumulo and Datawave without having to develop a complete application.
Datawave - https://code.nsa.gov/datawave/
-------------------------------------------------
Hannah Pellón received her B.S. in Mathematics from the University of Maryland while working as a software engineering intern at Northrop Grumman conducting RF signal analysis and spectrometry. She spent 11 years at Northrop Grumman thereafter contributing to IR&D efforts and programs centered around Accumulo and Hadoop. She is currently a software developer and lead at Tiber Technologies focusing on Datawave and distributed computing technologies
Spark Streaming has quickly established itself as one of the more popular Streaming Engines running on the Hadoop Ecosystem. Not only does it provide integration with many type of message brokers and stream sources, but it also provides the ability to leverage other major modules in Spark like Spark SQL and MLib in conjunction. This allows for businesses and developers to make use out of data in ways they couldn’t hope to do in the past.
However, while building a Spark Streaming pipeline, it’s not sufficient to only know how to express your business logic. Operationalizing these pipelines and running the application with high uptime and continuous monitoring has a lot of operational challenges. Fortunately, Spark Streaming makes all that easy as well. In this talk, we’ll go over some of the main steps you’ll need to take to get your Spark Streaming application ready for production, specifically in conjunction with Kafka. This includes steps to gracefully shutdown your application, steps to perform upgrades, monitoring, various useful spark configurations and more.
The document discusses MongoDB transactions and concurrency. It provides code examples of how to perform transactions in MongoDB using logical sessions, including inserting a document into a collection and updating related documents in another collection atomically. It also discusses some of the features and timeline for implementing distributed transactions in sharded MongoDB clusters.
This document discusses various techniques for managing state in ASP.NET applications, including client-side and server-side options. On the client side, it covers view state, control state, hidden fields, cookies, and query strings. On the server side, it discusses application state, session state, and profile properties. For each technique, it provides code samples and recommendations on when to use each option based on factors like security, performance, and data persistence. It aims to help developers choose the best state management approach for different situations.
FleetDB is a schema-free database built in Clojure that aims to optimize for agile development. It implements a declarative query planner and executor to operate over database representations as Clojure data structures. The core database functions are wrapped by additional layers that provide identity, durability, and a JSON client API. The source code is relatively small at around 1300 lines thanks to Clojure's powerful data structures and functional programming model.
WSO2 BAM 2.0 provide a rich set of tool for aggregation, analyzing and presentation for large scale data sets and any monitoring scenario can be easily modeled according to the BAM architecture. We selected WSO2 BAM as the backbone of our logging architecture with a Log4JAppender to send LogEvents to bam.
The document discusses migrating an existing authentication system at Columbia University to the Central Authentication Service (CAS). Specifically, it addresses:
1) Integrating the legacy service registry and custom attributes into CAS.
2) Adding support for the legacy "WIND" authentication protocol to CAS to allow existing clients to continue using either the legacy or CAS protocols during migration.
3) Customizing CAS login behavior and UI to match the existing system.
Demystifying Event-Driven Architectures with Apache Kafka | Bogdan Sucaciu, P...HostedbyConfluent
Event-Driven Architectures (EDA ) are perceived as mythical objects that instantly transform your systems into ""real-time"" ones! BUT, come to think of it, aren't they already ""real-time""? I mean, adding an item to the cart is pretty much instant in ( most ) webshops.
In fact, EDA solves an entirely different set of problems and with the help of Apache Kafka, we will walk through the (re)evolution path. Microservices are easy to get started with, but once we do, we keep stumbling across the same issues: data access, consistency, and failures ( sounds familiar? ).
The solution? Patterns, patterns, patterns … You’ve probably heard about terms such as “Event Notification”, “Event-carried State Transfer”, or even “Event Sourcing”, but how can they be used to solve our problems? And more importantly, how can we use Apache Kafka to take advantage of these patterns?
I guess we will find out soon!
What AI Means For Your Product Strategy And What To Do About ItVMware Tanzu
The document summarizes Matthew Quinn's presentation on "What AI Means For Your Product Strategy And What To Do About It" at Denver Startup Week 2023. The presentation discusses how generative AI could impact product strategies by potentially solving problems companies have ignored or allowing competitors to create new solutions. Quinn advises product teams to evaluate their strategies and roadmaps, ensure they understand user needs, and consider how AI may change the problems being addressed. He provides examples of how AI could influence product development for apps in home organization and solar sales. Quinn concludes by urging attendees not to ignore AI's potential impacts and to have hard conversations about emerging threats and opportunities.
Make the Right Thing the Obvious Thing at Cardinal Health 2023VMware Tanzu
This document discusses the evolution of internal developer platforms and defines what they are. It provides a timeline of how technologies like infrastructure as a service, public clouds, containers and Kubernetes have shaped developer platforms. The key aspects of an internal developer platform are described as providing application-centric abstractions, service level agreements, automated processes from code to production, consolidated monitoring and feedback. The document advocates that internal platforms should make the right choices obvious and easy for developers. It also introduces Backstage as an open source solution for building internal developer portals.
Enhancing DevEx and Simplifying Operations at ScaleVMware Tanzu
Cardinal Health introduced Tanzu Application Service in 2016 and set up foundations for cloud native applications in AWS and later migrated to GCP in 2018. TAS has provided Cardinal Health with benefits like faster development of applications, zero downtime for critical applications, hosting over 5,000 application instances, quicker patching for security vulnerabilities, and savings through reduced lead times and staffing needs.
Dan Vega discussed upcoming changes and improvements in Spring including Spring Boot 3, which will have support for JDK 17, Jakarta EE 9/10, ahead-of-time compilation, improved observability with Micrometer, and Project Loom's virtual threads. Spring Boot 3.1 additions were also highlighted such as Docker Compose integration and Spring Authorization Server 1.0. Spring Boot 3.2 will focus on embracing virtual threads from Project Loom to improve scalability of web applications.
Platforms, Platform Engineering, & Platform as a ProductVMware Tanzu
This document discusses building platforms as products and reducing developer toil. It notes that platform engineering now encompasses PaaS and developer tools. A quote from Mercedes-Benz emphasizes building platforms for developers, not for the company itself. The document contrasts reactive, ticket-driven approaches with automated, self-service platforms and products. It discusses moving from considering platforms as a cost center to experts that drive business results. Finally, it provides questions to identify sources of developer toil, such as issues with workstation setup, running software locally, integration testing, committing changes, and release processes.
This document provides an overview of building cloud-ready applications in .NET. It defines what makes an application cloud-ready, discusses common issues with legacy applications, and recommends design patterns and practices to address these issues, including loose coupling, high cohesion, messaging, service discovery, API gateways, and resiliency policies. It includes code examples and links to additional resources.
Dan Vega discussed new features and capabilities in Spring Boot 3 and beyond, including support for JDK 17, Jakarta EE 9, ahead-of-time compilation, observability with Micrometer, Docker Compose integration, and initial support for Project Loom's virtual threads in Spring Boot 3.2 to improve scalability. He provided an overview of each new feature and explained how they can help Spring applications.
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdfVMware Tanzu
Spring Cloud Gateway is a gateway that provides routing, security, monitoring, and resiliency capabilities for microservices. It acts as an API gateway and sits in front of microservices, routing requests to the appropriate microservice. The gateway uses predicates and filters to route requests and modify requests and responses. It is lightweight and built on reactive principles to enable it to scale to thousands of routes.
This document appears to be from a VMware Tanzu Developer Connect presentation. It discusses Tanzu Application Platform (TAP), which provides a developer experience on Kubernetes across multiple clouds. TAP aims to unlock developer productivity, build rapid paths to production, and coordinate the work of development, security and operations teams. It offers features like pre-configured templates, integrated developer tools, centralized visibility and workload status, role-based access control, automated pipelines and built-in security. The presentation provides examples of how these capabilities improve experiences for developers, operations teams and security teams.
The document provides information about a Tanzu Developer Connect Workshop on Tanzu Application Platform. The agenda includes welcome and introductions on Tanzu Application Platform, followed by interactive hands-on workshops on the developer experience and operator experience. It will conclude with a quiz, prizes and giveaways. The document discusses challenges with developing on Kubernetes and how Tanzu Application Platform aims to improve the developer experience with features like pre-configured templates, developer tools integration, rapid iteration and centralized management.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023VMware Tanzu
This document discusses simplifying and scaling enterprise Spring applications in the cloud. It provides an overview of Azure Spring Apps, which is a fully managed platform for running Spring applications on Azure. Azure Spring Apps handles infrastructure management and application lifecycle management, allowing developers to focus on code. It is jointly built, operated, and supported by Microsoft and VMware. The document demonstrates how to create an Azure Spring Apps service, create an application, and deploy code to the application using three simple commands. It also discusses features of Azure Spring Apps Enterprise, which includes additional capabilities from VMware Tanzu components.
SpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring BootVMware Tanzu
The document discusses 15 factors for building cloud native applications with Kubernetes based on the 12 factor app methodology. It covers factors such as treating code as immutable, externalizing configuration, building stateless and disposable processes, implementing authentication and authorization securely, and monitoring applications like space probes. The presentation aims to provide an overview of the 15 factors and demonstrate how to build cloud native applications using Kubernetes based on these principles.
SpringOne Tour: The Influential Software EngineerVMware Tanzu
The document discusses the importance of culture in software projects and how to influence culture. It notes that software projects involve people and personalities, not just technology. It emphasizes that culture informs everything a company does and is very difficult to change. It provides advice on being aware of your company's culture, finding ways to inculcate good cultural values like writing high-quality code, and approaches for influencing decision makers to prioritize culture.
SpringOne Tour: Domain-Driven Design: Theory vs PracticeVMware Tanzu
This document discusses domain-driven design, clean architecture, bounded contexts, and various modeling concepts. It provides examples of an e-scooter reservation system to illustrate domain modeling techniques. Key topics covered include identifying aggregates, bounded contexts, ensuring single sources of truth, avoiding anemic domain models, and focusing on observable domain behaviors rather than implementation details.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
Key Takeaways:
Improved Salesforce CRM User Experience: Learn how self-service visibility enhances satisfaction.
Utilize Salesforce CRM Synch Dashboards: Explore real-time weekly activity data.
Monitor Performance Against Limits: See threshold limits for each product level.
Get Usage Over-Limit Alerts: Receive notifications for exceeding thresholds.
Learn About Improved Salesforce CRM Scale: Understand upcoming cloud-based incremental sync.
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
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
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
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.
Read More:- https://www.esofttools.com/nsf-to-pst-converter.html
Copy & Paste On Google >>> https://dr-up-community.info/
EASEUS Partition Master Final with Crack and Key Download If you are looking for a powerful and easy-to-use disk partitioning software,
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Get & Download Wondershare Filmora Crack Latest [2025]saniaaftab72555
Copy & Past Link 👉👉
https://dr-up-community.info/
Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
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!
WinRAR Crack for Windows (100% Working 2025)sh607827
copy and past on google ➤ ➤➤ https://hdlicense.org/ddl/
WinRAR Crack Free Download is a powerful archive manager that provides full support for RAR and ZIP archives and decompresses CAB, ARJ, LZH, TAR, GZ, ACE, UUE, .
Interactive Odoo Dashboard for various business needs can provide users with dynamic, visually appealing dashboards tailored to their specific requirements. such a module that could support multiple dashboards for different aspects of a business
✅Visit And Buy Now : https://bit.ly/3VojWza
✅This Interactive Odoo dashboard module allow user to create their own odoo interactive dashboards for various purpose.
App download now :
Odoo 18 : https://bit.ly/3VojWza
Odoo 17 : https://bit.ly/4h9Z47G
Odoo 16 : https://bit.ly/3FJTEA4
Odoo 15 : https://bit.ly/3W7tsEB
Odoo 14 : https://bit.ly/3BqZDHg
Odoo 13 : https://bit.ly/3uNMF2t
Try Our website appointment booking odoo app : https://bit.ly/3SvNvgU
👉Want a Demo ?📧 [email protected]
➡️Contact us for Odoo ERP Set up : 091066 49361
👉Explore more apps: https://bit.ly/3oFIOCF
👉Want to know more : 🌐 https://www.axistechnolabs.com/
#odoo #odoo18 #odoo17 #odoo16 #odoo15 #odooapps #dashboards #dashboardsoftware #odooerp #odooimplementation #odoodashboardapp #bestodoodashboard #dashboardapp #odoodashboard #dashboardmodule #interactivedashboard #bestdashboard #dashboard #odootag #odooservices #odoonewfeatures #newappfeatures #odoodashboardapp #dynamicdashboard #odooapp #odooappstore #TopOdooApps #odooapp #odooexperience #odoodevelopment #businessdashboard #allinonedashboard #odooproducts
PDF Reader Pro Crack Latest Version FREE Download 2025mu394968
🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍
PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Adobe After Effects Crack FREE FRESH version 2025kashifyounis067
🌍📱👉COPY LINK & PASTE ON GOOGLE http://drfiles.net/ 👈🌍
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.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
23. Properties config = new Properties();
config.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-starter-app");
config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "server-lb:9092");
config.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG,
Serdes.String().getClass());
config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG,
Serdes.String().getClass());
KStreamBuilder builder = new KStreamBuilder();
KStream<String, String> kStream = builder.stream("input-topic-name");
// do stuff
kStream.to("word-count-output");
KafkaStreams streams = new KafkaStreams(builder, config);
streams.start();
// Do aggregation making the word as the key and count as the value
// shutdown hook to correctly close the streams application
Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
36. Name Account Balance
Alice $100
Bob $200
Domain Event
Alice gives Bob $50
Bob give Alice $100
Name Account Balance
Alice $150
Bob $150
Change Log Event Stream
Alice’s Acct. Balance is $50
Bob’s Acct. Balance is $250
Alice’s Acct. Balance is $150
Bob’s Acct Balance is $150
Current State