Lot's of talks focus on DevOps. This one strives to leave the attendee with small, measurable, actionable steps he or she can take to start their own DevOps journey. YMMV :)
The document discusses best practices for using Docker for deploying Node.js applications. It covers creating a Dockerfile and docker-compose.yml file, including setting environment variables, using a non-root user, limiting memory usage, caching layers for faster builds, and volumes for local development versus remote deployment. Automating deployments with tools like Jenkins is also mentioned. The goal is to have repeatable, optimized deployments with a single command and best practices around testing and versioning.
1 DevOp vs 1.000 servers - Amazon EC2 and Chef automation introThomas Lobinger
This document discusses using DevOps practices like Chef to automate server configuration, deployment, scaling, and healing. It provides an example of using Chef cookbooks to configure a Memcached server. It also describes how a company called Peritor uses tools like Chef and Amazon EC2 to automate management of a social networking site called Monster World, which sees peak loads of 130 servers and 240,000 requests per minute. The document encourages trying out automation tools from Scalarium.
Continuous Deployment with Cloud Foundry, Github and Travis CIPlatform CF
Continuous deployment allows developers to automatically deploy code changes to Cloud Foundry after tests pass. The process involves setting up Travis CI to run tests on code commits and deploy to Cloud Foundry if tests succeed, allowing developers to focus on code quality without worrying about manual deployments. Setup takes less than 10 minutes by connecting Travis to Cloud Foundry and configuring automatic test execution and deployments for a smooth, reliable continuous deployment process.
Talk by Alex Krause and Andreas Mohrhard
devopscon 2016 - Munich
examples sources: https://github.com/cosee/devopscon.2016
Ein großer Vorteil von AWS Lambda gegenüber anderen Serverless-Diensten ist die gute Integration in die bestehenden AWS-Dienste. So kann beispielsweise auf eingehende E-Mails über den Simple Notification Service (SNS) ebenso reagiert werden, wie auf neu hochgeladene Dateien in S3. Um davon profitieren zu können, müssen Lambda-Funktionen entsprechend konfiguriert werden. Bei Applikationen jenseits der üblichen Beispiele wird dies schnell sehr komplex und fehleranfällig, umso mehr, wenn die Lambda-Funktionen mit AWS API Gateway über HTTP angesprochen werden. Im Vortrag wird am Beispiel einer Single-Page-Applikation gezeigt, wie man in einem Serverless Backend von unterschiedlichen AWS-Diensten profitieren kann und dabei die Konfiguration der unterschiedlichen Lambda-Funktionen und von AWS API Gateway im Griff behält. Mithilfe von CloudFormation, Apex, Serverless oder Terraform kann all das automatisiert und in einen CI-/CD-Prozess integriert werden. Der Vortrag gibt einen Überblick über die unterschiedlichen Möglichkeiten und zeigt konkrete Lösungen.
This document discusses Amazon SWF (Simple Workflow Service) and how it can be used with Ruby for task scheduling and workflow automation. It introduces the Gordon framework for building deciders and activities with Ruby. Key features of SWF are highlighted such as task lists, timeouts, and event history. The document concludes with information about job opportunities at Peritor GmbH.
This document compares classic app development and deployment to containerized apps. It discusses using containers and Docker to package apps and their dependencies. It shows how containers can be defined, built, and orchestrated. Container deployment to different environments like integration, staging, and production is described. Usage scenarios like continuous integration servers are presented. Challenges with the new container-based approach are also acknowledged.
If you have an app bootstrapped with [create-react-app](https://github.com/facebook/create-react-app), you may have a certain amount of boilerplate code that came with it, especially if you ejected. Now you may want to sync up with the latest changes in create-react-app. I've ported [ember-cli-update](https://github.com/ember-cli/ember-cli-update) to [create-react-app-updater](https://github.com/kellyselden/create-react-app-updater) to get the same benefits for react apps. You can keep your pojects in sync as well as run codemods based on react version.
The document discusses automating the software deployment process through continuous integration and continuous deployment techniques. It recommends using source control systems like TFS or Git and building projects with a build server. A build server can be set up on-premises or using a hosted build service like Visual Studio Online. Once projects are built, a deployment tool like Octopus Deploy can be used to automatically deploy packages to test and production environments. The automated process helps reduce errors and provides deployment history and visibility.
The document discusses best practices for using Docker for deploying Node.js applications. It covers creating a Dockerfile and docker-compose.yml file, including setting environment variables, using a non-root user, limiting memory usage, caching layers for faster builds, and volumes for local development versus remote deployment. Automating deployments with tools like Jenkins is also mentioned. The goal is to have repeatable, optimized deployments with a single command and best practices around testing and versioning.
1 DevOp vs 1.000 servers - Amazon EC2 and Chef automation introThomas Lobinger
This document discusses using DevOps practices like Chef to automate server configuration, deployment, scaling, and healing. It provides an example of using Chef cookbooks to configure a Memcached server. It also describes how a company called Peritor uses tools like Chef and Amazon EC2 to automate management of a social networking site called Monster World, which sees peak loads of 130 servers and 240,000 requests per minute. The document encourages trying out automation tools from Scalarium.
Continuous Deployment with Cloud Foundry, Github and Travis CIPlatform CF
Continuous deployment allows developers to automatically deploy code changes to Cloud Foundry after tests pass. The process involves setting up Travis CI to run tests on code commits and deploy to Cloud Foundry if tests succeed, allowing developers to focus on code quality without worrying about manual deployments. Setup takes less than 10 minutes by connecting Travis to Cloud Foundry and configuring automatic test execution and deployments for a smooth, reliable continuous deployment process.
Talk by Alex Krause and Andreas Mohrhard
devopscon 2016 - Munich
examples sources: https://github.com/cosee/devopscon.2016
Ein großer Vorteil von AWS Lambda gegenüber anderen Serverless-Diensten ist die gute Integration in die bestehenden AWS-Dienste. So kann beispielsweise auf eingehende E-Mails über den Simple Notification Service (SNS) ebenso reagiert werden, wie auf neu hochgeladene Dateien in S3. Um davon profitieren zu können, müssen Lambda-Funktionen entsprechend konfiguriert werden. Bei Applikationen jenseits der üblichen Beispiele wird dies schnell sehr komplex und fehleranfällig, umso mehr, wenn die Lambda-Funktionen mit AWS API Gateway über HTTP angesprochen werden. Im Vortrag wird am Beispiel einer Single-Page-Applikation gezeigt, wie man in einem Serverless Backend von unterschiedlichen AWS-Diensten profitieren kann und dabei die Konfiguration der unterschiedlichen Lambda-Funktionen und von AWS API Gateway im Griff behält. Mithilfe von CloudFormation, Apex, Serverless oder Terraform kann all das automatisiert und in einen CI-/CD-Prozess integriert werden. Der Vortrag gibt einen Überblick über die unterschiedlichen Möglichkeiten und zeigt konkrete Lösungen.
This document discusses Amazon SWF (Simple Workflow Service) and how it can be used with Ruby for task scheduling and workflow automation. It introduces the Gordon framework for building deciders and activities with Ruby. Key features of SWF are highlighted such as task lists, timeouts, and event history. The document concludes with information about job opportunities at Peritor GmbH.
This document compares classic app development and deployment to containerized apps. It discusses using containers and Docker to package apps and their dependencies. It shows how containers can be defined, built, and orchestrated. Container deployment to different environments like integration, staging, and production is described. Usage scenarios like continuous integration servers are presented. Challenges with the new container-based approach are also acknowledged.
If you have an app bootstrapped with [create-react-app](https://github.com/facebook/create-react-app), you may have a certain amount of boilerplate code that came with it, especially if you ejected. Now you may want to sync up with the latest changes in create-react-app. I've ported [ember-cli-update](https://github.com/ember-cli/ember-cli-update) to [create-react-app-updater](https://github.com/kellyselden/create-react-app-updater) to get the same benefits for react apps. You can keep your pojects in sync as well as run codemods based on react version.
The document discusses automating the software deployment process through continuous integration and continuous deployment techniques. It recommends using source control systems like TFS or Git and building projects with a build server. A build server can be set up on-premises or using a hosted build service like Visual Studio Online. Once projects are built, a deployment tool like Octopus Deploy can be used to automatically deploy packages to test and production environments. The automated process helps reduce errors and provides deployment history and visibility.
Automating Software Development Life Cycle - A DevOps ApproachAkshaya Mahapatra
The document discusses DevOps and provides an overview of the key concepts. It describes how DevOps aims to bring development, operations, and business teams together through automating processes, continuous monitoring, and breaking down silos between teams. The document then covers various DevOps tools and technologies like version control systems, build tools, configuration management, virtualization, and continuous integration/deployment practices.
This document discusses using Docker containers to improve testing workflows. It outlines challenges with traditional testing approaches that can slow down deployments. Containers are presented as a solution by providing isolated, portable testing environments. The rest of the document demonstrates how to test applications using Docker containers, Docker Compose, and Selenium with examples of API, web, and Selenium Grid tests. Best practices are provided for containerizing tests along with a proposed continuous integration workflow using containers.
The document outlines Viresh Doshi's top 10 Ansible tips based on his experience as a DevOps engineer. The tips include: adding a README to repositories to document purpose; unit testing roles with Molecule; using name and debug modules for readability and troubleshooting; connecting roles to Jenkins CI; using Python virtual environments; templating with Jinja2; ensuring idempotency; using variables consistently; splitting tasks across files; and sharing roles openly. Additional tips are to write modules, use filters, leverage Ansible Galaxy, manage inventories, and enjoy Python and coffee.
Automate your Development Environment with Vagrant & ChefMichael Lihs
Vagrant and Chef can be used to automate development environments. Vagrant allows setting up projects in minutes and sharing environments with others. It uses virtualization software like VirtualBox along with configuration tools like Chef. Chef manages configurations through cookbooks containing recipes, resources, and templates. Vagrant boxes provide base images that can be provisioned using Chef recipes to install software and configure services. This allows consistently provisioning environments for development, testing, and production.
This document discusses DevOps in action and provides examples of tools and practices that can be used at different stages of the development pipeline to optimize resources, accelerate delivery, improve measurement of deployment rates and downtime, and increase frequency of releases. It outlines values and measures at the dev, stage, and production stages when using practices like continuous integration, automated testing, infrastructure as code, and monitoring.
CI/CD Using Ansible and Jenkins for InfrastructureFaisal Shaikh
This document discusses using Ansible and Jenkins for continuous integration and delivery (CI/CD). It defines continuous integration and provides examples of tools that can be used including Ansible, Jenkins, monitoring systems, and application tests. It describes how to automate builds in Jenkins using the Jenkins Job Builder to configure jobs through YAML files for version control and reuse. Finally, it provides references to Jenkins plugins and the Jenkins Job Builder project.
Serverless in Production, an experience report (AWS UG South Wales)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (Going Serverless, 28 Feb 2018)Domas Lasauskas
This document discusses best practices for preparing serverless applications on AWS Lambda for production. It describes the author's experience deploying 170 Lambda functions and 1.2GB of code into production with a 95% cost savings compared to EC2. Key practices covered include testing, monitoring, logging, distributed tracing, CI/CD pipelines, configuration management, and security. The author advocates for building on principles over tools and shares several tools for serverless development.
Docker landed almost two years ago, making it possible to build, ship, and run
any Linux application, on any platform, it was quickly adopted by developers
and ops, like no other tool before. The CI/CD industry even took it to
production long before it was stamped "production-ready."
Why does everyone (or almost!) love Docker? Because it puts powerful
automation abilities within the hands of normal developers. Automation
almost always involves building distribution packages, virtual machine
images, or writing configuration management manifests. With Docker,
those tasks are radically transformed: sometimes they're far easier than before,
other times they're no longer needed at all. Either way, the intervention
of a seasoned sysadmin guru is no longer required.
Atlassian faces the same issues as any other software company in the world. The battle for continuous integration glory is fought every day, and at stake is nothing less than our development and delivery speed. Join us to find out how we do it at Atlassian, powered by Bamboo. Because in the Game of Codes, you win... or you die.
This document discusses various topics related to building serverless applications on AWS, including API Gateway and Kinesis, authentication and authorization, testing, monitoring, logging, performance optimization, and CI/CD practices. It also provides information about DAZN, an online sports streaming service, and mentions that they are hiring.
Achieving Continuous Delivery: An Automation Storyjimi-c
Continuos Deployment is the act of deploying software constantly. The idea is if "release early, release often" is good, releasing very often is better. It's not trivial. Automation is part of the battle, and testing is another. Learn to use tools like Jenkins and Ansible to move from deploying software once a month to 15 times every hour, and why you'll want to.
Presented at PyCon 2015 in Montreal
DevOps is a large part of a company of any size. In the 9+ years that I have been a professional developer I have always taken an interest in DevOps and have been the "server person" for most of the teams I have been a part of. I would like to teach others how easy it is to implement modern tools to make their everyday development and development processes better. I will cover a range of topics from "Stop using WAMP/MAMP and start using Vagrant", "version control isn't renaming files", "Automate common tasks with shell scripts / command line PHP apps" and "From Vagrant to Production".
Serverless in production, an experience report (FullStack 2018)Yan Cui
This document discusses considerations for making serverless applications production ready. It covers topics like testing, monitoring, logging, deployment pipelines, performance optimization, and security. The document emphasizes principles over specific tools, and recommends focusing on shipping working software through practices like embracing external services for testing instead of mocking.
100% Puppet Cloud Deployment of Legacy SoftwarePuppet
This document discusses deploying legacy software into the AWS cloud using Puppet. It proposes modeling AWS resources like security groups, autoscaling groups, and launch configurations as Puppet resources. This would allow Puppet to provision the underlying AWS infrastructure and configure servers launched in autoscaling groups. It acknowledges challenges around server reboots but suggests they can be addressed. In summary, it argues custom Puppet resources can easily model AWS resources and using Puppet to configure autoscaling servers is possible despite some challenges around rebooting servers during deployment.
Altoros helps companies integrate solutions from Predix and its partners to digitize revenue streams. It offers services like new product development using Predix technologies, migrating applications to Predix, and Predix training. Altoros is also a Gold sponsor of Cloud Foundry Summits and has offices in several cities worldwide.
Vagrant, Chef and TYPO3 - A Love AffairMichael Lihs
Vagrant allows setting up portable development environments for TYPO3 projects quickly using virtual machines. Chef is a configuration management tool that can automate the provisioning of these Vagrant boxes. Using Vagrant and Chef together provides benefits like sharing projects easily and having development environments match production.
This document summarizes the work done over the past two years by the Software Engineering Lab at Zhejiang University to implement Cloud Foundry on CloudStack. It describes creating services like Hadoop and Jasper that can be deployed as a service on Cloud Foundry running on CloudStack. It also discusses intensive testing done and replacing the Ruby router with a Go router. Finally, it provides screenshots of Cloud Foundry running on CloudStack and asks people to help test their CloudStack CPI (Cloud Provider Interface) implementation.
The document outlines 17 ways to optimize Spring Boot applications for the cloud. Some of the key recommendations include using services provided by cloud platforms for monitoring and tracing requests. It also recommends using circuit breakers to prevent failures from cascading, keeping dependencies up-to-date, and enabling class sharing with Eclipse OpenJ9 to reduce memory usage. Continuous delivery pipelines and configuration management are also suggested for deploying changes with zero downtime.
How Percolate uses CFEngine to Manage AWS Stateless InfrastructurePercolate
The document discusses how Percolate uses CFEngine to manage their infrastructure on AWS in a stateless way. Some key points:
1) CFEngine allows Percolate to define infrastructure policies that automatically enforce the desired configuration on servers, providing a documented and scalable approach.
2) By managing all infrastructure as code in Git, and avoiding server state, Percolate's infrastructure is resilient and can be migrated or changed easily.
3) This stateless approach means Percolate avoids backup overhead and can freely launch/replace instances, reducing costs through use of spot instances.
BTD2015 - Your Place In DevTOps is Finding Solutions - Not Just Bugs!Andreas Grabner
This is about leveling-up and REVOLUTIONIZING Testing as part of your Agile/DevOps Transformation.
You can contribute more than testing functionality. You need to Level-Up your skill set by understanding the apps you are testing. # Images, # JS Files, # SQL Statements, Connection Pool Utilization and Garbage Collection Activity have to be added to your portfolio.
Check these metrics when you do your functional testing and report regressions to your engineers even though the functionality is still good. But you just uncovered an Architectural regression that will lead to a scalabilty and performance problem.
Finding these problems early will eliminate a lot of wasted and unplanned time later on in the lifecycle. that is your contribution to delivering software faster with better quality
This document discusses Lattice, an open source Platform as a Service (PaaS) that was born from CloudFoundry. Lattice aims to make deploying and running containerized workloads easy through features like easy installation, clustering, scheduling, self-healing, load balancing, and log aggregation. The document provides an overview of Lattice's architecture and components like Diego for scheduling and X-Ray for visualization. It also demonstrates how to deploy Docker images and buildpacks, submit custom workloads, configure routing, and view logs using Lattice.
Automating Software Development Life Cycle - A DevOps ApproachAkshaya Mahapatra
The document discusses DevOps and provides an overview of the key concepts. It describes how DevOps aims to bring development, operations, and business teams together through automating processes, continuous monitoring, and breaking down silos between teams. The document then covers various DevOps tools and technologies like version control systems, build tools, configuration management, virtualization, and continuous integration/deployment practices.
This document discusses using Docker containers to improve testing workflows. It outlines challenges with traditional testing approaches that can slow down deployments. Containers are presented as a solution by providing isolated, portable testing environments. The rest of the document demonstrates how to test applications using Docker containers, Docker Compose, and Selenium with examples of API, web, and Selenium Grid tests. Best practices are provided for containerizing tests along with a proposed continuous integration workflow using containers.
The document outlines Viresh Doshi's top 10 Ansible tips based on his experience as a DevOps engineer. The tips include: adding a README to repositories to document purpose; unit testing roles with Molecule; using name and debug modules for readability and troubleshooting; connecting roles to Jenkins CI; using Python virtual environments; templating with Jinja2; ensuring idempotency; using variables consistently; splitting tasks across files; and sharing roles openly. Additional tips are to write modules, use filters, leverage Ansible Galaxy, manage inventories, and enjoy Python and coffee.
Automate your Development Environment with Vagrant & ChefMichael Lihs
Vagrant and Chef can be used to automate development environments. Vagrant allows setting up projects in minutes and sharing environments with others. It uses virtualization software like VirtualBox along with configuration tools like Chef. Chef manages configurations through cookbooks containing recipes, resources, and templates. Vagrant boxes provide base images that can be provisioned using Chef recipes to install software and configure services. This allows consistently provisioning environments for development, testing, and production.
This document discusses DevOps in action and provides examples of tools and practices that can be used at different stages of the development pipeline to optimize resources, accelerate delivery, improve measurement of deployment rates and downtime, and increase frequency of releases. It outlines values and measures at the dev, stage, and production stages when using practices like continuous integration, automated testing, infrastructure as code, and monitoring.
CI/CD Using Ansible and Jenkins for InfrastructureFaisal Shaikh
This document discusses using Ansible and Jenkins for continuous integration and delivery (CI/CD). It defines continuous integration and provides examples of tools that can be used including Ansible, Jenkins, monitoring systems, and application tests. It describes how to automate builds in Jenkins using the Jenkins Job Builder to configure jobs through YAML files for version control and reuse. Finally, it provides references to Jenkins plugins and the Jenkins Job Builder project.
Serverless in Production, an experience report (AWS UG South Wales)Yan Cui
AWS Lambda has changed the way we deploy and run software, but this new serverless paradigm has created new challenges to old problems - how do you test a cloud-hosted function locally? How do you monitor them? What about logging and config management? And how do we start migrating from existing architectures?
In this talk Yan and Scott will discuss solutions to these challenges by drawing from real-world experience running Lambda in production and migrating from an existing monolithic architecture.
Serverless in production, an experience report (Going Serverless, 28 Feb 2018)Domas Lasauskas
This document discusses best practices for preparing serverless applications on AWS Lambda for production. It describes the author's experience deploying 170 Lambda functions and 1.2GB of code into production with a 95% cost savings compared to EC2. Key practices covered include testing, monitoring, logging, distributed tracing, CI/CD pipelines, configuration management, and security. The author advocates for building on principles over tools and shares several tools for serverless development.
Docker landed almost two years ago, making it possible to build, ship, and run
any Linux application, on any platform, it was quickly adopted by developers
and ops, like no other tool before. The CI/CD industry even took it to
production long before it was stamped "production-ready."
Why does everyone (or almost!) love Docker? Because it puts powerful
automation abilities within the hands of normal developers. Automation
almost always involves building distribution packages, virtual machine
images, or writing configuration management manifests. With Docker,
those tasks are radically transformed: sometimes they're far easier than before,
other times they're no longer needed at all. Either way, the intervention
of a seasoned sysadmin guru is no longer required.
Atlassian faces the same issues as any other software company in the world. The battle for continuous integration glory is fought every day, and at stake is nothing less than our development and delivery speed. Join us to find out how we do it at Atlassian, powered by Bamboo. Because in the Game of Codes, you win... or you die.
This document discusses various topics related to building serverless applications on AWS, including API Gateway and Kinesis, authentication and authorization, testing, monitoring, logging, performance optimization, and CI/CD practices. It also provides information about DAZN, an online sports streaming service, and mentions that they are hiring.
Achieving Continuous Delivery: An Automation Storyjimi-c
Continuos Deployment is the act of deploying software constantly. The idea is if "release early, release often" is good, releasing very often is better. It's not trivial. Automation is part of the battle, and testing is another. Learn to use tools like Jenkins and Ansible to move from deploying software once a month to 15 times every hour, and why you'll want to.
Presented at PyCon 2015 in Montreal
DevOps is a large part of a company of any size. In the 9+ years that I have been a professional developer I have always taken an interest in DevOps and have been the "server person" for most of the teams I have been a part of. I would like to teach others how easy it is to implement modern tools to make their everyday development and development processes better. I will cover a range of topics from "Stop using WAMP/MAMP and start using Vagrant", "version control isn't renaming files", "Automate common tasks with shell scripts / command line PHP apps" and "From Vagrant to Production".
Serverless in production, an experience report (FullStack 2018)Yan Cui
This document discusses considerations for making serverless applications production ready. It covers topics like testing, monitoring, logging, deployment pipelines, performance optimization, and security. The document emphasizes principles over specific tools, and recommends focusing on shipping working software through practices like embracing external services for testing instead of mocking.
100% Puppet Cloud Deployment of Legacy SoftwarePuppet
This document discusses deploying legacy software into the AWS cloud using Puppet. It proposes modeling AWS resources like security groups, autoscaling groups, and launch configurations as Puppet resources. This would allow Puppet to provision the underlying AWS infrastructure and configure servers launched in autoscaling groups. It acknowledges challenges around server reboots but suggests they can be addressed. In summary, it argues custom Puppet resources can easily model AWS resources and using Puppet to configure autoscaling servers is possible despite some challenges around rebooting servers during deployment.
Altoros helps companies integrate solutions from Predix and its partners to digitize revenue streams. It offers services like new product development using Predix technologies, migrating applications to Predix, and Predix training. Altoros is also a Gold sponsor of Cloud Foundry Summits and has offices in several cities worldwide.
Vagrant, Chef and TYPO3 - A Love AffairMichael Lihs
Vagrant allows setting up portable development environments for TYPO3 projects quickly using virtual machines. Chef is a configuration management tool that can automate the provisioning of these Vagrant boxes. Using Vagrant and Chef together provides benefits like sharing projects easily and having development environments match production.
This document summarizes the work done over the past two years by the Software Engineering Lab at Zhejiang University to implement Cloud Foundry on CloudStack. It describes creating services like Hadoop and Jasper that can be deployed as a service on Cloud Foundry running on CloudStack. It also discusses intensive testing done and replacing the Ruby router with a Go router. Finally, it provides screenshots of Cloud Foundry running on CloudStack and asks people to help test their CloudStack CPI (Cloud Provider Interface) implementation.
The document outlines 17 ways to optimize Spring Boot applications for the cloud. Some of the key recommendations include using services provided by cloud platforms for monitoring and tracing requests. It also recommends using circuit breakers to prevent failures from cascading, keeping dependencies up-to-date, and enabling class sharing with Eclipse OpenJ9 to reduce memory usage. Continuous delivery pipelines and configuration management are also suggested for deploying changes with zero downtime.
How Percolate uses CFEngine to Manage AWS Stateless InfrastructurePercolate
The document discusses how Percolate uses CFEngine to manage their infrastructure on AWS in a stateless way. Some key points:
1) CFEngine allows Percolate to define infrastructure policies that automatically enforce the desired configuration on servers, providing a documented and scalable approach.
2) By managing all infrastructure as code in Git, and avoiding server state, Percolate's infrastructure is resilient and can be migrated or changed easily.
3) This stateless approach means Percolate avoids backup overhead and can freely launch/replace instances, reducing costs through use of spot instances.
BTD2015 - Your Place In DevTOps is Finding Solutions - Not Just Bugs!Andreas Grabner
This is about leveling-up and REVOLUTIONIZING Testing as part of your Agile/DevOps Transformation.
You can contribute more than testing functionality. You need to Level-Up your skill set by understanding the apps you are testing. # Images, # JS Files, # SQL Statements, Connection Pool Utilization and Garbage Collection Activity have to be added to your portfolio.
Check these metrics when you do your functional testing and report regressions to your engineers even though the functionality is still good. But you just uncovered an Architectural regression that will lead to a scalabilty and performance problem.
Finding these problems early will eliminate a lot of wasted and unplanned time later on in the lifecycle. that is your contribution to delivering software faster with better quality
This document discusses Lattice, an open source Platform as a Service (PaaS) that was born from CloudFoundry. Lattice aims to make deploying and running containerized workloads easy through features like easy installation, clustering, scheduling, self-healing, load balancing, and log aggregation. The document provides an overview of Lattice's architecture and components like Diego for scheduling and X-Ray for visualization. It also demonstrates how to deploy Docker images and buildpacks, submit custom workloads, configure routing, and view logs using Lattice.
Andreas Grabner - Performance as Code, Let's Make It a StandardNeotys_Partner
Since its beginning, the Performance Advisory Council aims to promote engagement between various experts from around the world, to create relevant, value-added content sharing between members. For Neotys, to strengthen our position as a thought leader in load & performance testing. During this event, 12 participants convened in Chamonix (France) exploring several topics on the minds of today’s performance tester such as DevOps, Shift Left/Right, Test Automation, Blockchain and Artificial Intelligence.
WinOps Conf 2016 - Michael Greene - Release PipelinesWinOps Conf
There are benefits to be gained when patterns and practices from developer techniques are applied to operations. Notably, a fully automated solution where infrastructure is managed as code and all changes are automatically validated before reaching production. This is a process shift that is recognized among industry innovators. For organizations already leveraging these processes, it should be clear how to leverage Microsoft platforms. For organizations that are new to the topic, it should be clear how to bring this process to your environment and what it means to your organizational culture. This presentation explains the components of a Release Pipeline for configuration as code, the value to operations, and solutions that are used when designing a new Release Pipeline architecture.
Continuous Deployment of your Application - SpringOne Tour DallasVMware Tanzu
The document discusses Spring Cloud Pipelines, which provides an opinionated template for continuous delivery pipelines. It describes Spring Cloud Pipelines' support for different automation servers like Concourse and Jenkins, as well as languages like Maven and Gradle. It also covers Spring Cloud Pipelines' default configuration options around environments, testing types, and cloud-native applications.
Integrating RightScale, Windows, and .NET for Fun and Profit - RightScale Com...RightScale
Speakers:
Patrick McClory - Solutions Architect, RightScale
Patrick Moore - Operations Manager, Koupon Media
Gordon Bailey - Lead Infrastructure Engineer, Koupon Media
RightScale offers a robust REST-based API and, while it is available to all, having platform-specific clients certainly helps in the process of consuming and working with any given programming interface. We’ll demonstrate the RightScale .NET API 1.5 wrapper project with a few examples of how it can help to automate your process, integrate with existing tools, and even make your life easier when implemented within your daily operating applications.
Continuous Integration, the minimum viable productJulian Simpson
What does it mean to 'do' Continuous Integration? It used to be enough to execute your unit tests in CI. But the bar is steadily raising for engineering practices. In the last decade we've seen tremendous improvements inacceptance testing. JavaScript is now a platform in it's own right. Cloudcomputing is now vital. There's growing interest in deployment to prod.So Continuous Integration is under more pressure than ever. As the bar slowly raises for engineering practices, we ll present 2011's minimum viable feature set for Continuous Integration
Performance Metrics for your Build Pipeline - presented at Vienna WebPerf Oct...Andreas Grabner
Software Performance Metrics that you should look at throughout your Build Pipeline and not just when your app crashes in productiong.
Find performance and scalability problems as soon as executing your first Unit Test. Simply focus on metrics such as #SQLs, #LogMessages, #Objects on Heap, ...
Eric Proegler Oredev Performance Testing in New ContextsEric Proegler
Virtualization, Cloud Deployments, and Cloud-Based Tools have challenged and changed performance testing practices. Today’s performance tester can summons tens of thousands of virtual users from the cloud in a few minutes at a cost far lower than the expensive on-premise installations of yesteryear.
Meanwhile, systems under test have changed more. Updated software stacks have increased the complexity of scripting and performance measurement, but the biggest changes are in the nature and quantities of resources powering the systems. Interpreting resource usage when resources are shared on a private virtualization platform is exceedingly difficult. Understanding resources when they live in a large public cloud is impossible.
Puppet Camp Melbourne Nov 2014 - A Build Engineering Team’s Journey of Infras...Peter Leschev
A Build Engineering Team’s Journey of Infrastructure as Code - the challenges that we’ve faced and the practices that we implemented as we went along our journey.
Over the past 1.5 decade our industry has tried to adopt an increased amount of infrastructure automation. We called it Configuration Management, Infrastructure as Code, infrastructure as Software, Provisioning, Orchestration. We learned about Desired State, Idempotence, etc.. We have seen a number of tools become popular; we have seen a number of tools disappear. But over the years we have seen a number of patterns appear and reappear. Patterns that lead to actually getting great benefits out of automation, or just wasting time while missing out on goals. This talk will explain you a number of these patterns which we have frequently encountered in the wild, with their benefits and caveats. We will try to keep this tool agnostic. Your vision might be Clouded, and you might have to take this with a grain of Salt while you play the Chef from the Muppet show the story, all names, characters, and incidents portrayed in this production are fictitious. No identification with actual persons (living or deceased), places, buildings, and products are intended or should be inferred.
Trent Hornibrook gave a recent talk at the Infracoders meet-up playing a thought experiment with the audience on 'what would be your tech decisions if you were given a blank cheque at at startup'.
Trent, recently working for a start-up then shared what decisions he made, and why
Spring Cloud Pipelines provides an opinionated template for continuous deployment pipelines. It aims to fail builds and deployments fast through practices like contract and integration testing. The pipelines support automation servers like Jenkins and Concourse. Standardizing on tools like Cloud Foundry allows deploying applications using the same processes on different platforms. The pipelines are customizable to suit individual needs.
Data driven devops as presented at QCon London 2018Baruch Sadogursky
Devops is usually viewed from a traditional perspective of a collaboration of Dev, Ops, and QA, driven by the change in Culture, People, and Process. But how do you know where you stand and where to move? As in almost any field, data and metrics give you the gauges and instruments. In this talk, we’ll talk about the key measurements for the DevOps transformation process and provide you with 3 metrics you can start measuring tomorrow.
What they don't tell you about micro-servicesDaniel Rolnick
A conference talk I gave at QConNY.
Who could say no to services that were fully testable, easy to scale, easy to re-write, composable, etc. You read a few books about micro-services and now you're hooked. Those blog posts by Martin Fowler made it sound so easy. Adrian Cockcroft’s videos were so convincing. All of the open source tools out there were going to make this a snap. But now you’re six months in and realize that it's not all so easy. We’ll discuss 6 things we wish we had known when we started our journey.
SPOILER ALERT: It is still worth it.
Topics we’ll cover:
Service Discovery and You
Databases
Testing; how hard can it be?
Dependencies shmependencies
Monitoring? Why would my monitoring be different?
Tools: your current ones have to evolve
This is part one of my Monitoring Distributed Apps series.
Here we explore premises of Distributed Application monitoring focusing on metrics, why do we need them and gradually introducing Prometheus as a solution.
The video recording is available here: https://youtu.be/lvogDmRN-Hs
DockerCon EU 2015: Stop Being Lazy and Test Your Software!Docker, Inc.
Presented by Laura Frank, Engineer, Codeship
Testing software is necessary, no matter the size or status of your company. Introducing Docker to your development workflow can help you write and run your testing frameworks more efficiently, so that you can always deliver your best product to your customers and there are no excuses for not writing tests anymore. You’ll walk away from this talk with practical advice for using Docker to run your test frameworks more efficiently, as well as some solid knowledge of software testing principles.
The document discusses the importance of performance testing software systems. It notes that performance testing is a time-consuming process that requires planning infrastructure, building test data scenarios, running performance tests, analyzing results, and evaluating code and architecture. Specific and quantifiable performance metrics are needed to determine if a system passes or fails. The document recommends starting performance testing early in the development process and dedicating adequate time and isolated testing environments for it.
Effective Telepresence and Remote CollaborationWill Button
Remote workers have become a mainstay, whether dealing with outsourced staff, work from home employees, or remote offices. These slides are from the Phoenix DevOps Meetup (07/27/2016) where I spoke about tips, tools, and techniques to enable better communication across remote teams.
The document summarizes the evolution of the ELK stack architecture at a company from a single cluster handling all data to three specialized clusters for logs, core data processing, and a testing environment. It also provides monitoring strategies using Elastizabbix to track cluster metrics and configure alerts in Zabbix. Key lessons learned are discussed around data modeling, indexing performance, and common query issues.
The document discusses building a highly available and scalable MEAN stack environment. It covers using MongoDB, Express.js, Angular, and Node.js with fault tolerance and load balancing. Key aspects include deploying to multiple availability zones, replicating databases, adding additional servers, and monitoring performance as the system scales to handle more traffic. The goal is to build an environment that can scale efficiently on AWS to support growing application needs.
Slide notes from Desert Code Camp 2014. This talk focuses on using the MEAN Stack to build an app that uses Facebook authentication for access, demonstrates advanced permissions for reading an authenticated user's Facebook data, and generating a data visualization using the D3.js library and custom Angular directives.
This document summarizes a presentation about sharding in MongoDB. It discusses what sharding is, when it is necessary to shard a MongoDB deployment, how to choose a shard key, and the process of integrating sharding into a production environment. It also provides tips on monitoring shard health and things that can be done today to prepare for future sharding needs.
This document provides a summary of MongoDB and Mongoose 101 presented at a Phoenix MongoDB Meetup. It introduces the presenter and his background. It then provides a high-level overview of MongoDB and compares SQL and MongoDB terminology. The remainder of the document demonstrates basic CRUD operations in MongoDB using the Mongo shell and introduces Mongoose, an ORM for MongoDB, demonstrating how to define schemas and models and perform queries and validations. It also discusses subdocuments and population features in Mongoose.
The document discusses aggregating data from a video game stats dataset to generate reports. Specifically, it describes using the MongoDB aggregation framework to get a count of kills for each of three players on a specific date between certain hours. The aggregation pipeline uses $match, $project, $group and $sort operators to filter, reshape, group and sort the documents before returning the results.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
Mobile app Development Services | Drona InfotechDrona Infotech
Drona Infotech is one of the Best Mobile App Development Company In Noida Maintenance and ongoing support. mobile app development Services can help you maintain and support your app after it has been launched. This includes fixing bugs, adding new features, and keeping your app up-to-date with the latest
Visit Us For :
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
When deliberating between CodeIgniter vs CakePHP for web development, consider their respective strengths and your project requirements. CodeIgniter, known for its simplicity and speed, offers a lightweight framework ideal for rapid development of small to medium-sized projects. It's praised for its straightforward configuration and extensive documentation, making it beginner-friendly. Conversely, CakePHP provides a more structured approach with built-in features like scaffolding, authentication, and ORM. It suits larger projects requiring robust security and scalability. Ultimately, the choice hinges on your project's scale, complexity, and your team's familiarity with the frameworks.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
3. Remember where we came from?
…and where we don’t want to go back to!
#DesertCodeCamp @wfbutton
4. IT and Development were not aligned
Provisioning hardware was slow and expensive
Changes were risky and hard to rollback
We’ll have that server
ready for you next quarter.
#DesertCodeCamp @wfbutton
5. To the cloud!
• Just needed manager’s CC
• Infinite access to servers
Cloud all the
things!
#DesertCodeCamp @wfbutton
6. and then the bill came…
Accounting was not pleased.
#DesertCodeCamp @wfbutton
7. Rule #1
Use what you need, but need what you use.
#DesertCodeCamp @wfbutton
8. Use the tools:
AWS Cost Analyzer
Billing Alerts
Heroku Dashboard
#DesertCodeCamp @wfbutton
10. Managing Deployments
• Define the rules of production
• Who can push code (ideally,
no one)
• Tests that must pass
• Rollbacks
• Change review boards suck
(but sometimes are needed)
#DesertCodeCamp @wfbutton
11. Rule #2
Thou shalt not touch production (by hand).
#DesertCodeCamp @wfbutton
12. Jenkins or CircleCI
Define the workflow
Triggered automatically
Rules/Tests must pass
No humans!
#DesertCodeCamp @wfbutton
13. Testing
• Tests for your code
• Mandatory
• Minimum levels of test
• Server tests
• rspec for puppet
• Test Kitchen
• CI Tool requires passing tests
• API testing with jmeter
#DesertCodeCamp @wfbutton
14. Don’t you forget about me.
• Configuration management
• Remember how we got here?
• IT does play a role
• …and it should be automated
• Chef/Puppet/Ansible/Salt
• Same rules:
• Tests/ Rollback/ Ephemeral
#DesertCodeCamp @wfbutton
16. From a Disaster Recovery
View
• Find the most recent backup
• Pray that it’s good
• Build a new server
• Search Stack Overflow
• Test
• Search Stack Overflow
• Ask business what data they
really need
• Update LinkedIn profile
• Deploy via CI
#DesertCodeCamp @wfbutton
17. Monitoring
It’s not just for disk space
or CPU
or Memory…
(though those are important
too!)
#DesertCodeCamp @wfbutton
19. Apdex Score
• It’s a real thing
• Measure of response times
against a threshold
• https://en.wikipedia.org/wiki/
Apdex
• Satisfied: T or less
• Tolerating: >T, <= 4T
• Frustrating: >4T
#DesertCodeCamp @wfbutton
20. Things that
don’t
Polling is great for this
TTL on metrics (Riemann)
Instrument alerts and fallbacks
in code
The Art of Monitoring
-James Turnbull
#DesertCodeCamp @wfbutton
21. Metrics
Overload
What are your customers
paying you for?
How do you measure that?
What are the
dependencies?
#DesertCodeCamp @wfbutton
22. Rule #4
If it’s important, measure it.
#DesertCodeCamp @wfbutton
23. Rules in Review
• Use what you need, but need what you use.
• Thou shalt not touch production (by hand).
• Infrastructure is code.
• If it’s important, measure it.
#DesertCodeCamp @wfbutton
24. Your Homework
• Pick a rule.
• Make some progress.
• Socialize.
• Iterate.
This is how you
build culture, and
culture is really
what DevOps is
about.
#DesertCodeCamp @wfbutton