Docker 101 - Zaragoza Docker Meetup - Universidad de ZaragozaAngel Borroy López
This document provides an introduction to Docker presented at a Docker Zaragoza Meetup. It discusses Docker Engine, images and containers, Docker architecture, creating images with Dockerfiles, sharing images with Docker registries like Docker Hub, and hands-on exercises using Docker Classroom and Play with Docker. The presentation introduces key Docker concepts and components to help attendees discover Docker and get started using it.
This document provides an overview of Docker containers and developer workflows using Docker. It defines containers and images, and explains how Docker abstracts machine-specific settings to allow containers to run on different machines. Popular Docker images are listed, and benefits of using Docker for development are outlined. Common Docker commands are also described.
AWS Elastic Container Service (ECS) with a CI Pipeline OverviewWyn B. Van Devanter
This document discusses deploying Dockerized applications onto Amazon EC2 Container Service (ECS). It describes ECS as a service that manages clusters of EC2 instances for running containers. It also discusses key concepts like clusters, tasks, services, and task definitions. It provides an overview of setting up an ECS cluster, deploying applications with tasks and services, and integrating continuous integration/deployment with ECS.
In deploying apps that have been containerized, you have a lot to think about regarding what to use in production. There are a lot of things to manage, so orchestrators become a huge help. providing many services together such as scheduling, container communication, scaling, health, and more. There are major platforms to consider from Kubernetes, Swarm to ECS. In this talk we'll go through the overview of orchestrators and some of the differences between the big players. You should come out of the talk knowing where to go next in determining your orchestrator needs.
RightScale Conference Santa Clara 2011: Looking for configurations that work across clouds? Want to pull configurations from Git? Learn how RightScriptsTM and Chef power ServerTemplates. We will present best practices for modular, agile configuration management.
Building Cloud-Native App Series - Part 7 of 11
Microservices Architecture Series
Containers Docker Kind Kubernetes Istio
- Pods
- ReplicaSet
- Deployment (Canary, Blue-Green)
- Ingress
- Service
O serviço Elastic Beanstalk da AWS permite que voce automatize o lançamento de aplicativos e sites inteiros na nuvem da AWS. Nesta apresentação, feita durante o AWS Summit 2015, mostramos como usá-lo.
Azure and Kubernetes go together like peanut butter and jelly with Azure offering many options to host Kubernetes. In this session, we'll show you how to mix the Open Source tools you already use with the powerful Kubernetes hosting options on Azure. Take your deployment and orchestration to the next level!
AWS Elastic Beanstalk is an orchestration service offered by AWS that makes it easier to deploy and manage applications in the AWS cloud. It supports several programming languages and servers and automatically handles tasks like deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring. Key concepts include environments which contain the resources needed to run an application, including load balancers, auto-scaling groups, and EC2 instances. It provides resilience through availability zones and manages resources like security groups, host managers, and worker environments.
This document discusses the security aspects of containers compared to virtual machines. While containers provide better performance through thin isolation layers, this reduces security compared to fully virtualized systems. Containers run applications with full access to the host operating system's kernel and have limited isolation of things like devices and modules. The document recommends treating container security like a networked server by running as non-root users, using tools like SELinux for additional isolation, and only using trusted container images. Backing containers with security features of the Linux kernel like capabilities and seccomp can also help restrict what containers can access.
The document discusses Liberty Management which allows managing many Liberty application servers. It introduces the Liberty Collective which comprises a loosely coupled multi-server management domain using the collectiveController and collectiveMember features. The collectiveController provides member registry, operations proxy and monitoring while collectiveMember publishes member state and application information. Administration APIs like JMX and REST allow managing the collective. Features like clustering, auto-scaling, dynamic routing and deployment tools help manage the servers at scale.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
The document discusses deploying Apache Kafka on DC/OS. It provides an overview of Kafka and why it is useful to deploy it on DC/OS. It outlines important considerations for deploying Kafka brokers and Zookeeper as stateful services on DC/OS, including using dedicated disks, placement constraints, and service discovery. The document warns of potential gotchas like broker restarts impacting catch up time and Kafka Streams fault tolerance.
Kubernetes is an open-source system and is quickly becoming the new standard for automating deployment, scaling, and management of containerized applications.
In the presentation we will have a high-level overview of the most important components of Kubernetes and how they fit together. We will start with having an overview of Container and Orchestration and what Kubernetes is capable of and how it helps in automating deployment and scaling software in the cloud. Afterwards we will discuss Kubernetes objects (Pod, ReplicaSet, Deployment, Services, Namespaces) with some examples.
PP slides for a presentation for the Queensland SQL Server User Group that covered application candidates/use cases, SQL performance considerations including road tests of new SQL 2014 performance features on AWS EC2 instances, security, HA/DR and licensing.
SQL 2014 AlwaysOn Availability Groups for SharePoint Farms - SPS Sydney 2014Michael Noel
This document discusses SQL 2014 AlwaysOn Availability Groups for implementing high availability and disaster recovery for SharePoint farms. It provides an overview of AlwaysOn, requirements, design options, and a step-by-step guide for setting up an AlwaysOn Availability Group. Key points include that AlwaysOn allows multiple read-only copies of databases across servers, improves on previous mirroring technologies, and changes how the data tier should be designed for SharePoint.
The document proposes changes to the architecture of Apache CloudStack to address issues with its current monolithic design. The key changes include:
1. Disaggregating CloudStack services to allow independent development, testing, and deployment of components.
2. Clearly differentiating the responsibilities of automation, orchestration, and provisioning layers.
3. Adopting a regional deployment model of independent zones managed by centralized CloudStack clusters to improve high availability and fault containment.
4. Refactoring the CloudStack orchestration engine into modular components to facilitate third-party integration and extensibility.
The goal is to make CloudStack more resilient, scalable, maintainable and extensible for operators and
The Oracle Application Container Cloud as the Microservices Platform (APAC OU...Lucas Jellema
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Microservices need a platform to run on and to provide generic capabilities such as data caching, an event bus, access to RDBMS and File System. This platform should handle scaling and fail over of the microservices.
The Application Container Cloud runs and automatically scales applications built in various technologies such as Node, Java, PHP and Python, it provides caching and access to an event bus and database in the cloud. This session demonstrates how multiple microservices are deployed to and run on ACC, using these capabilities.
- Play 2.0 is a web framework for Java and Scala that simplifies development by embracing HTTP rather than fighting it
- It takes a new approach to building web apps in Java by not being built on top of servlet APIs and using an asynchronous programming model
- Developing, testing, and deploying a Play app locally and to CloudFoundry involves creating a project, running it locally, and pushing the compiled code to CloudFoundry which automatically detects and supports Play apps
This document discusses building event-driven, fault-tolerant microservices. It begins by discussing lessons learned from SOA architecture and defining microservices. It emphasizes that microservices need to be reactive and message-driven to achieve loose coupling and fault tolerance. The document then outlines challenges in implementing microservices at scale before proposing a design using Spring Boot, Kafka, Docker, and Elastic Stack. It provides an in-depth look at these components and how they address scalability, isolation, fault tolerance and monitoring of microservices.
DevOps with Elastic Beanstalk - TCCC-2014scolestock
This document discusses using AWS Elastic Beanstalk for deploying applications. It describes Elastic Beanstalk as a platform as a service that handles provisioning infrastructure and managing application deployments. It covers how to deploy application versions through the AWS console, command line, IDE plugins, or a CI/CD tool like Jenkins. It also discusses how Elastic Beanstalk uses applications, environments, and versions to model deployments and provides configuration, monitoring, logging and scaling capabilities.
The document discusses AWS services for continuous integration, delivery, and deployment based on AWS. It describes how CodeCommit can be used for source code management, CodePipeline for continuous delivery, and CodeDeploy for continuous deployment. It also discusses how Elastic Beanstalk can be used to deploy and manage applications on AWS.
- The document summarizes updates to Amazon EC2, EC2 Container Service, and AWS Lambda computing services.
- For EC2, new X1 instances with over 100 vCPUs and 2 TB memory were announced for in-memory applications. New T2.nano instances and dedicated hosts were also mentioned.
- For ECS, a new container registry service was highlighted. Scheduler improvements and expanded Docker configuration options were noted.
- For Lambda, added support for Python, longer function durations, scheduled functions, and versioning were summarized.
Setup Hybrid Clusters Using Kubernetes Federationinwin stack
This document summarizes how to setup hybrid clusters using Kubernetes Federation. It discusses the benefits of federation such as keeping applications synced across multiple clusters and configuring network resources to route traffic. It then describes the federation architecture including the federation control plane and federated resources/clusters. Finally, it provides steps to setup a demo federation including initializing the control plane and joining clusters from different regions.
This document provides an overview and agenda for an AWS webinar on Amazon EKS (Elastic Kubernetes Service). The key topics to be covered include: Kubernetes concepts and architecture; EKS features such as high availability, auto-scaling, and integration with IAM; networking and security with EKS; and best practices for running containers on EKS. The webinar aims to explain how EKS provides a fully managed Kubernetes service on AWS.
Putting Kafka In Jail – Best Practices To Run Kafka On Kubernetes & DC/OSLightbend
Apache Kafka–part of Lightbend Fast Data Platform–is a distributed streaming platform that is best suited to run close to the metal on dedicated machines in statically defined clusters. For most enterprises, however, these fixed clusters are quickly becoming extinct in favor of mixed-use clusters that take advantage of all infrastructure resources available.
In this webinar by Sean Glover, Fast Data Engineer at Lightbend, we will review leading Kafka implementations on DC/OS and Kubernetes to see how they reliably run Kafka in container orchestrated clusters and reduce the overhead for a number of common operational tasks with standard cluster resource manager features. You will learn specifically about concerns like:
* The need for greater operational knowhow to do common tasks with Kafka in static clusters, such as applying broker configuration updates, upgrading to a new version, and adding or decommissioning brokers.
* The best way to provide resources to stateful technologies while in a mixed-use cluster, noting the importance of disk space as one of Kafka’s most important resource requirements.
* How to address the particular needs of stateful services in a model that natively favors stateless, transient services.
SCaLE 15x - How Container Schedulers and Software-Defined Storage will Change...David vonThenen
Presentation at Southern California Linux Expo (SCaLE 15x). Discussion on what happens when you take a Software-based Storage platform integrated with Container Schedulers and moving that into the Cloud.
Kubernetes on AWS allows users to deploy and manage Kubernetes clusters on the AWS cloud infrastructure. It provides tools to create clusters across multiple AWS availability zones for high availability. Users can define Kubernetes objects like pods, services, deployments etc using kubectl and utilize AWS services like EBS volumes for persistent storage. The presentation demonstrated setting up a Kubernetes cluster on AWS using kube-up.sh along with examples of using EBS volumes in pods through persistent volume claims. It also showed monitoring and managing applications running on the Kubernetes cluster deployed on AWS.
AWS Elastic Beanstalk is an orchestration service offered by AWS that makes it easier to deploy and manage applications in the AWS cloud. It supports several programming languages and servers and automatically handles tasks like deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring. Key concepts include environments which contain the resources needed to run an application, including load balancers, auto-scaling groups, and EC2 instances. It provides resilience through availability zones and manages resources like security groups, host managers, and worker environments.
This document discusses the security aspects of containers compared to virtual machines. While containers provide better performance through thin isolation layers, this reduces security compared to fully virtualized systems. Containers run applications with full access to the host operating system's kernel and have limited isolation of things like devices and modules. The document recommends treating container security like a networked server by running as non-root users, using tools like SELinux for additional isolation, and only using trusted container images. Backing containers with security features of the Linux kernel like capabilities and seccomp can also help restrict what containers can access.
The document discusses Liberty Management which allows managing many Liberty application servers. It introduces the Liberty Collective which comprises a loosely coupled multi-server management domain using the collectiveController and collectiveMember features. The collectiveController provides member registry, operations proxy and monitoring while collectiveMember publishes member state and application information. Administration APIs like JMX and REST allow managing the collective. Features like clustering, auto-scaling, dynamic routing and deployment tools help manage the servers at scale.
Container Orchestration with Docker Swarm and KubernetesWill Hall
This presentation covers the basics of what container orchestration is providing pros and cons of Docker Swarm, Kubernetes and Amazon ECS and outlining the terms and tools you will need to successfully use them.
The document discusses deploying Apache Kafka on DC/OS. It provides an overview of Kafka and why it is useful to deploy it on DC/OS. It outlines important considerations for deploying Kafka brokers and Zookeeper as stateful services on DC/OS, including using dedicated disks, placement constraints, and service discovery. The document warns of potential gotchas like broker restarts impacting catch up time and Kafka Streams fault tolerance.
Kubernetes is an open-source system and is quickly becoming the new standard for automating deployment, scaling, and management of containerized applications.
In the presentation we will have a high-level overview of the most important components of Kubernetes and how they fit together. We will start with having an overview of Container and Orchestration and what Kubernetes is capable of and how it helps in automating deployment and scaling software in the cloud. Afterwards we will discuss Kubernetes objects (Pod, ReplicaSet, Deployment, Services, Namespaces) with some examples.
PP slides for a presentation for the Queensland SQL Server User Group that covered application candidates/use cases, SQL performance considerations including road tests of new SQL 2014 performance features on AWS EC2 instances, security, HA/DR and licensing.
SQL 2014 AlwaysOn Availability Groups for SharePoint Farms - SPS Sydney 2014Michael Noel
This document discusses SQL 2014 AlwaysOn Availability Groups for implementing high availability and disaster recovery for SharePoint farms. It provides an overview of AlwaysOn, requirements, design options, and a step-by-step guide for setting up an AlwaysOn Availability Group. Key points include that AlwaysOn allows multiple read-only copies of databases across servers, improves on previous mirroring technologies, and changes how the data tier should be designed for SharePoint.
The document proposes changes to the architecture of Apache CloudStack to address issues with its current monolithic design. The key changes include:
1. Disaggregating CloudStack services to allow independent development, testing, and deployment of components.
2. Clearly differentiating the responsibilities of automation, orchestration, and provisioning layers.
3. Adopting a regional deployment model of independent zones managed by centralized CloudStack clusters to improve high availability and fault containment.
4. Refactoring the CloudStack orchestration engine into modular components to facilitate third-party integration and extensibility.
The goal is to make CloudStack more resilient, scalable, maintainable and extensible for operators and
The Oracle Application Container Cloud as the Microservices Platform (APAC OU...Lucas Jellema
Microservices are independent, encapsulated entities that produce meaningful results and business functionality in tentative collaboration. Microservices need a platform to run on and to provide generic capabilities such as data caching, an event bus, access to RDBMS and File System. This platform should handle scaling and fail over of the microservices.
The Application Container Cloud runs and automatically scales applications built in various technologies such as Node, Java, PHP and Python, it provides caching and access to an event bus and database in the cloud. This session demonstrates how multiple microservices are deployed to and run on ACC, using these capabilities.
- Play 2.0 is a web framework for Java and Scala that simplifies development by embracing HTTP rather than fighting it
- It takes a new approach to building web apps in Java by not being built on top of servlet APIs and using an asynchronous programming model
- Developing, testing, and deploying a Play app locally and to CloudFoundry involves creating a project, running it locally, and pushing the compiled code to CloudFoundry which automatically detects and supports Play apps
This document discusses building event-driven, fault-tolerant microservices. It begins by discussing lessons learned from SOA architecture and defining microservices. It emphasizes that microservices need to be reactive and message-driven to achieve loose coupling and fault tolerance. The document then outlines challenges in implementing microservices at scale before proposing a design using Spring Boot, Kafka, Docker, and Elastic Stack. It provides an in-depth look at these components and how they address scalability, isolation, fault tolerance and monitoring of microservices.
DevOps with Elastic Beanstalk - TCCC-2014scolestock
This document discusses using AWS Elastic Beanstalk for deploying applications. It describes Elastic Beanstalk as a platform as a service that handles provisioning infrastructure and managing application deployments. It covers how to deploy application versions through the AWS console, command line, IDE plugins, or a CI/CD tool like Jenkins. It also discusses how Elastic Beanstalk uses applications, environments, and versions to model deployments and provides configuration, monitoring, logging and scaling capabilities.
The document discusses AWS services for continuous integration, delivery, and deployment based on AWS. It describes how CodeCommit can be used for source code management, CodePipeline for continuous delivery, and CodeDeploy for continuous deployment. It also discusses how Elastic Beanstalk can be used to deploy and manage applications on AWS.
- The document summarizes updates to Amazon EC2, EC2 Container Service, and AWS Lambda computing services.
- For EC2, new X1 instances with over 100 vCPUs and 2 TB memory were announced for in-memory applications. New T2.nano instances and dedicated hosts were also mentioned.
- For ECS, a new container registry service was highlighted. Scheduler improvements and expanded Docker configuration options were noted.
- For Lambda, added support for Python, longer function durations, scheduled functions, and versioning were summarized.
Setup Hybrid Clusters Using Kubernetes Federationinwin stack
This document summarizes how to setup hybrid clusters using Kubernetes Federation. It discusses the benefits of federation such as keeping applications synced across multiple clusters and configuring network resources to route traffic. It then describes the federation architecture including the federation control plane and federated resources/clusters. Finally, it provides steps to setup a demo federation including initializing the control plane and joining clusters from different regions.
This document provides an overview and agenda for an AWS webinar on Amazon EKS (Elastic Kubernetes Service). The key topics to be covered include: Kubernetes concepts and architecture; EKS features such as high availability, auto-scaling, and integration with IAM; networking and security with EKS; and best practices for running containers on EKS. The webinar aims to explain how EKS provides a fully managed Kubernetes service on AWS.
Putting Kafka In Jail – Best Practices To Run Kafka On Kubernetes & DC/OSLightbend
Apache Kafka–part of Lightbend Fast Data Platform–is a distributed streaming platform that is best suited to run close to the metal on dedicated machines in statically defined clusters. For most enterprises, however, these fixed clusters are quickly becoming extinct in favor of mixed-use clusters that take advantage of all infrastructure resources available.
In this webinar by Sean Glover, Fast Data Engineer at Lightbend, we will review leading Kafka implementations on DC/OS and Kubernetes to see how they reliably run Kafka in container orchestrated clusters and reduce the overhead for a number of common operational tasks with standard cluster resource manager features. You will learn specifically about concerns like:
* The need for greater operational knowhow to do common tasks with Kafka in static clusters, such as applying broker configuration updates, upgrading to a new version, and adding or decommissioning brokers.
* The best way to provide resources to stateful technologies while in a mixed-use cluster, noting the importance of disk space as one of Kafka’s most important resource requirements.
* How to address the particular needs of stateful services in a model that natively favors stateless, transient services.
SCaLE 15x - How Container Schedulers and Software-Defined Storage will Change...David vonThenen
Presentation at Southern California Linux Expo (SCaLE 15x). Discussion on what happens when you take a Software-based Storage platform integrated with Container Schedulers and moving that into the Cloud.
Kubernetes on AWS allows users to deploy and manage Kubernetes clusters on the AWS cloud infrastructure. It provides tools to create clusters across multiple AWS availability zones for high availability. Users can define Kubernetes objects like pods, services, deployments etc using kubectl and utilize AWS services like EBS volumes for persistent storage. The presentation demonstrated setting up a Kubernetes cluster on AWS using kube-up.sh along with examples of using EBS volumes in pods through persistent volume claims. It also showed monitoring and managing applications running on the Kubernetes cluster deployed on AWS.
Presentation from the first meetup of Kubernetes Pune - introduction to Kubernetes (https://www.meetup.com/Kubernetes-Pune/events/235689961)
A First Look at vSphere Integrated Containers and Photon PlatformDan Wendlandt
Talk presented at VMworld 2015 offering a sneak peak into two VMware technical previews announced at the conference: vSphere Integrated Containers and Photon Platform.
Presentation for Stichting DotNed in 2015:
Microsoft neemt ASP.NET op de schop. Het web applicatie framework uit .NET 1.0 wordt grotendeels herschreven om te voldoen aan de eisen die men tegenwoordig stelt aan het realiseren van een moderne web applicatie. Deze sessie kijken we naar de nieuwe opzet van ASP.NET. We zien hoe Microsoft daarmee een cloud geoptimaliseerd, cross-platform framework creeert, dat zij zelf sneller kunnen laten evolueren door kortere release cycles. Dit alles betekent wel dat ASP.NET anders is geworden. In deze sessie leer je daarom ook wat er is veranderd, hoe je aan de slag gaat en waarom ASP.NET vNext een revolutionaire stap is in Microsoft's framework.
The value of containers is widely touted, but running them securely at scale and in long lived production environments presents new challenges. Amazon EC2 Container Service (ECS) changes the game by delivering cluster management and scheduling as a service. In this talk we’ll present how Okta uses ECS for parallelized testing in CI and for production microservices in a multi-region, always on cloud service. Learn why we chose ECS and many of the tips and tricks for securing, scaling and managing cost.
This document discusses containerization and the Docker ecosystem. It begins by describing the challenges of managing different software stacks across multiple environments. It then introduces Docker as a solution that packages applications into standardized units called containers that are portable and can run anywhere. The rest of the document covers key aspects of the Docker ecosystem like orchestration tools like Kubernetes and Docker Swarm, networking solutions like Flannel and Weave, storage solutions, and security considerations. It aims to provide an overview of the container landscape and components.
DevOps with Azure, Kubernetes, and Helm WebinarCodefresh
This document discusses DevOps tools for working with containers and Kubernetes. It introduces Helm as a package manager for Kubernetes that allows defining complex Kubernetes applications as charts that can be installed, upgraded, and rolled back easily. Codefresh is presented as a DevOps platform that integrates with Kubernetes and provides built-in steps for working with containers in CI/CD pipelines. The document provides an overview of concepts like containers, Docker, Kubernetes, orchestration, and Helm architecture. It also describes how to get started with installing Helm.
OpenStack is an open source cloud computing platform that can manage large networks of virtual machines and physical servers. It uses a distributed architecture with components like Nova (compute), Swift (object storage), Cinder (block storage), and Quantum (networking). OpenStack has been successful due to its scalability, support for multiple hypervisors including Hyper-V, and compatibility with popular programming languages like Python. While OpenStack is best suited for large public and private clouds, its complex installation and lack of unified deployment tools can present challenges, especially for small to mid-sized clouds.
DevConf.cz - Introduction to Kubernetes Operators for DatabasesJuarez Junior
The document provides an introduction to Oracle's Kubernetes Operator for databases. It discusses how the Operator allows for managing the lifecycle of Oracle databases running in Kubernetes, including capabilities like provisioning, scaling, patching, backups/restores, and more. The Operator supports various database configurations like single instance databases, sharded databases, Autonomous Database, and multitenant databases. It also provides observability features like metrics, logging, and Grafana dashboards.
This document discusses different cloud computing layers (IaaS, PaaS, SaaS) and how IBM Integration Bus can integrate with them. It describes how tools like Chef, IBM UrbanCode Deploy, and Bluemix PaaS can be used to automate deployment and management of IIB in cloud environments. The document also discusses how IIB can connect to SaaS applications and provide APIs to expose integration services as cloud applications.
This document discusses vSphere Integrated Containers, a solution from VMware that allows running containers natively on vSphere alongside traditional virtual machines. It provides an overview of key components like the Virtual Container Host, Photon OS, Harbor registry, and Admiral management portal. These components give developers a portable, lightweight container experience while also providing operations teams the visibility, management, and security capabilities of vSphere for containers in production.
Docker allows building portable software that can run anywhere by packaging an application and its dependencies in a standardized unit called a container. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes can replicate containers, provide load balancing, coordinate updates between containers, and ensure availability. Defining applications as Kubernetes resources allows them to be deployed and updated easily across a cluster.
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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!
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.
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).
Avast Premium Security Crack FREE Latest Version 2025mu394968
🌍📱👉COPY LINK & PASTE ON GOOGLE https://dr-kain-geera.info/👈🌍
Avast Premium Security is a paid subscription service that provides comprehensive online security and privacy protection for multiple devices. It includes features like antivirus, firewall, ransomware protection, and website scanning, all designed to safeguard against a wide range of online threats, according to Avast.
Key features of Avast Premium Security:
Antivirus: Protects against viruses, malware, and other malicious software, according to Avast.
Firewall: Controls network traffic and blocks unauthorized access to your devices, as noted by All About Cookies.
Ransomware protection: Helps prevent ransomware attacks, which can encrypt your files and hold them hostage.
Website scanning: Checks websites for malicious content before you visit them, according to Avast.
Email Guardian: Scans your emails for suspicious attachments and phishing attempts.
Multi-device protection: Covers up to 10 devices, including Windows, Mac, Android, and iOS, as stated by 2GO Software.
Privacy features: Helps protect your personal data and online privacy.
In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
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
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
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
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
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,
Solidworks Crack 2025 latest new + license codeaneelaramzan63
Copy & Paste On Google >>> https://dr-up-community.info/
The two main methods for installing standalone licenses of SOLIDWORKS are clean installation and parallel installation (the process is different ...
Disable your internet connection to prevent the software from performing online checks during installation
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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.
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
2. Table of Contents
• Overview
• Architecture
• First steps – a simple “Basket of Kittens”
• Deployment and Cleanup
• A more advanced “Basket of Kittens”
3. eCAP Overview
eCAP is a complete cloud deployment solution to
• Provision, orchestrate and manage complex
platforms and applications.
• Automate any arbitrarily complex application,
platform or combination on a wide range of
infrastructure targets
This presentation briefly covers core eCAP
architecture, utilities, capabilities, and usage for
platform and application developers
A brief business presentation is available:
• Remote Presentation
• Local File
4. eCAP Architecture by Layers
eCAP Interface:
• Available from nearly any
interface
• Most often accessed via Jenkins
or command line
• This developer presentation
focuses on command line access
eCAP Services:
• Utilities provide entry point
• Services provide orchestration,
monitoring, management
• Libraries called by both
• Four key areas of library
capability
5. Abstracted eCAP Services (1)
Provisioning Service
Configuration Service
Provisioning
abstraction currently
addresses the AWS
API
Future versions will
address Azure,
Google, OpenStack
Configuration
abstraction currently
addresses Chef
Future versions
possible for puppet,
ansible, salt…
6. Non-Abstracted eCAP Services (2)
Management Service
Orchestration Service
• Currently uses Nagios to provide continuous
monitoring
• Manages Nagios access from Master and agents
per node
Orchestration is a native ability of eCAP
• Momma-cat processes interact with deployed
artifacts through their lifecycle
• Including initial configuration
• Including scaling events
7. eCAP Architecture by Components
•Can support a CentOS or RedHat linux instance.
•Network connections to the target infrastructure
•Typically single eCAP Master in AWS VPC
Environment
•Build via install/setup_master.sh script on CentOS
•Deploys within the scope of the master server’s account.
eCAP Masters and Master VPCs
•Target deployments are managed by the deploying eCAP Master
•Extend master scope to multiple amazon accounts by cross-account role delegation
•Deploy to target AWS VPC (virtual private clouds) to better control access and security
•Communicate across VPC boundaries by means of VPC peering
•Can provision, configure and orchestrate wide range of artifacts in target VPCs
•Instances, instance pools, load balancers, databases, DNS records, security groups, and
virtually any resource the target environment supports by API
Target VPCs and Nodes
8. eCAP Deployment Patterns
Deployer accesses their eCAP server, in this case by means of a
Jenkins interface
Deployer issues a “cap-deploy …” command which references
a deployment descriptor file.
Deployment descriptor is called a “Basket of Kittens” or BOK,
named for the related artifacts it deploys.
BOK is maintained in a deployment source control repository,
typically Git.
eCAP master manages the relationship with the Git repository
through its utilities.
Deploy command creates a target VPC, provisions all
necessary artifacts including instances, server pools, machine
images, security groups, load balancers, etc.
Artifacts “call home” to an eCAP “Momma-Cat” service which
configures and orchestrates each artifact. The configuration
and orchestration is called “grooming”.
Artifacts continue to communicate with “Momma
Cat” for updates and notifications.
9. Deployment Descriptor Basics
“Basket of Kittens” or BOK declares:
– All components of a deployment
– Interrelationships and dependencies
– Encrypted credential locations.
• Expressed in JSON/YAML enhanced with ERUBIS
• ERUBIS allows for modular development and
invocation
• All but simplest BOKs involve a master BOK and
child BOKs, typically one BOK per class of service.
10. Deployment Descriptor Classes
• BOK Classes represent infrastructure artifacts to be
orchestrated
• Online documentation is available from any eCAP server
• Some top level classes:
– admins
– databases (RDS)
– servers (EC2)
– pools (autoscale groups)
– DNS records
– load balancers
– firewall (security groups)
11. A Very Simple BOK
1. Every BOK requires an appname, which drives all notifications, tags and other identifiers
2. Server array is often included rather than specified. Multiple classes of server can be specified
3. Here’s an illustration of an ERUBIS include defining a common AWS AMI
4. An optional stanza to create and attach a volume to the server.
5. Configuration information in the form of a Chef runlist. The recipes and roles in the runlist will be applied to
the server class to configure it by momma-cat.
6. Size of the instance, a valid AMI size
7. Some firewall rules for the server. Usually specified in a firewall-rules stanza instead
12. Simple BOK Deployment
Simple deploy without parameters:
Extensive log display:
• Each artifact is provisioned then configured for security
hardening and basic eCAP capabilities.
• Nodes “phone home” to momma-cat, who configures the
artifact in its final form, logging to the momma-cat log.
13. Administrative Access
• Access via ssh or
RDP
• Credentials created
by deploy, kept on
master
• Find node in
deploy result
• Access directly
from eCAP master
• Note address for
application access
as well
Find your node, then…
14. Deployment Cleanup
• Deployment creates many artifacts
– Firewall rules
– Nodes
– load balancers
– security roles, keys, etc.
– All artifacts are tagged, but removing them by hand
would be tedious and error prone.
• All deploy artifacts are tagged with a base
designation,
• Individual elements expand off the base.
• Complete teardown in a single command
15. A MORE ADVANCED “BASKET OF KITTENS”
• Creates a virtual private cloud in Amazon AWS
• Creates a bastion host to access private subnets
• Creates a load balancer
• Securely provides credentials
• Configures firewall rules and interconnection
• Creates an autoscale group and instance
16. Platform Repositories
Use a separate platform repository for
deployment code
• Applications folder contains deployment
descriptors and related artifacts
• Cookbooks folder contains third party
cookbooks required by the deployment
• Roles folder contains the chef roles used
in the deployment
• Site_cookbooks folder contains optional
additional deployment-specific
cookbooks
17. BOK Repository Structure
1. Overall platform
deployment repository
2. The applications folder,
containing BOKs for all
deployments in the
repository
3. A specific deployment of
interest, in this case
GeoShape.
4. Various included BOKs
that apply to more than
one deployment
18. Top Level
(master.json)
master BOKs shows the
overall structure of a
deployment, leaving details
to child BOKs.
Require parameters and
abort or warn in their
absence
Declare global variables
for use in child BOKs
Required identifiers and
admins
Optional and mandatory
parameters
“Includes” for child BOKs
19. Example of BOK Programming
A previous ERUBIS call dynamically retrieved all Availability Zones, then:
20. Configuring Pools of Servers
Pool defines a group of
scaling servers
Basis provides key parameters
for the servers in the pool
themselves, including the
AMI, credentials, volumes,
etc.
21. Final: Look at Credential Exchange
• Credentials
offered in
BOK:
• Credentials
Retrieved in
Recipe: