Uber Engineering’s Post

Why is performance testing vital to software development and QA for server applications? Dig into the topic here. Learn how to automate the collection and analysis of test results! #automatedsoftwaretesting #continuoustesting

Why is performance testing vital to software development and QA for server applications? Dig into the topic here. Learn how to automate the collection and analysis of test results! #automatedsoftwaretesting #continuoustesting

In the world of fast delivery and growing Apis, the focus on #continuousintegration and frequent #releases with minimal regressions can't be stressed upon. Going back to the basics is always my way of answering my doubts. Who do I turn to? Martin Fowler, as always. The updated blog has good hints and concepts on what is needed for #continuousintegration . There is also a compelling argumentation to link this with #trunk based development and #testautomation. It triggers the fundamental question: if you think you are doing #ci ,well are you doing it right? https://lnkd.in/eugNns9t

Check out the new post from #Speedscale for key considerations and a step-by-step guide to using production traffic replication in #Kubernetes for determining maximum throughput when #performancetesting your software. #DevOps #Testing #API https://lnkd.in/d2Kp_mpv

The world of software development is running on Microservices. They break down applications into loosely coupled, independently deployable services, enhancing scalability and agility in software development. But testing Microservices is challenging. We have outlined several testing strategies for microservices. Give it a read. https://hubs.la/Q02rXyYl0 #microservices #testingchallenge #QA #softwaretesting

📢 Software developers! 📢 Are you doing CI/CD right? Continuous integration & continuous deployment (CI/CD) is an integral part of software development that aims to optimize and automate the process to get products to market faster. But, like any tool, CI/CD is only as good as your skill with it. Check out the article on our blog to get the scoop on the best CI/CD practices and start optimizing your workflow! #CICD #ContinuousIntegrationContinuousDeployment #SoftwareDevelopment #Software #Tech #Coding #Developers #GeiselSoftware

🐳 Exploring the benefits of Docker in CI/CD Testing 🚀 In the dynamic realm of software development, testing plays a pivotal role. Enter Docker, the game-changer in CI/CD testing! 🚀 Here's why: 1️⃣ Consistent Environments: Docker containers ensure that your tests run in the same environment across development, testing, and production, reducing the notorious "it works on my machine" dilemma. 2️⃣ Rapid Test Execution: With Docker, testing becomes faster and more efficient. Containers encapsulate dependencies, enabling swift test setup and teardown, contributing to shorter feedback loops in your CI/CD pipeline. 3️⃣ Isolation and Reproducibility: Docker's containerization provides a level of isolation, preventing interference between tests. Plus, it allows easy replication of test environments, ensuring reproducibility for more reliable results. 4️⃣ Integration into CI/CD Pipelines: Seamlessly integrate Docker into your CI/CD pipeline for automated testing. Achieve continuous testing that aligns with the pace of continuous integration and delivery. Ever dreamt of spinning up fresh databases for each PR check? Fresh Databases, Every Time: Docker containers enable you to spin up pristine database instances for each pull request, ensuring tests run on a clean slate. No more lingering artifacts from previous runs! Maintain Clean Slates: With Docker, maintain the purity of your testing environment. Each test gets its playground, preventing dependencies or data residue from interfering. Clean slates, consistent results! Run Migrations Seamlessly: Dockerized testing allows effortless integration of database migrations into your CI/CD pipeline. Spin up containers, apply migrations, and ensure your database schema evolves harmoniously with your codebase. Ready to revolutionize your PR testing? 🚀 Embrace Docker for ephemeral databases, pristine environments, and seamless migrations. Your code deserves the cleanest slate! 💻🧹 Docker for a smoother, faster, and more reliable CI/CD testing journey. #Docker #DatabaseTesting #CI/CD #CleanSlateTesting #DevOpsInAction #Docker #CICD #TestingInContainers #DevOpsAdvantage picture credits: testvox

Application and Infrastructure deployments are different, and not all practices typical of Software Development map neatly to infrastructure deployment. For this reason, we prepared this article to help you understand these fundamental distinctions in detail and their implications for implementing CI/CD. Read more here: https://lnkd.in/dTBcA_Xy #cicd #infrastructureascode #applicationdevelopment #IaC #continousintegration #continousdelivery #infrastructuremanagement #softwaredevelopment #bluelight

🔍 Rethinking Software Testing: Beyond the Speed vs. Quality Debate 🚀 Ever wrestled with the trade-off between quick and high-quality software testing? Signadot challenges this notion by embracing Kubernetes-native testing for microservices. It's about empowering developers to catch issues earlier and build confidence in their releases. Discover how we're reshaping software testing for modern development. Let's explore together how to achieve both speed and quality without compromise! 💡 #SoftwareTesting #DevOps #QualityMatters #ContinuousIntegration Read more: https://hubs.li/Q02CG0_-0

In today's fast-paced software development world, delivering new features swiftly is crucial. But how do you balance speed with robust security practices? Introducing SecureDevOpsPipeline, a project that integrates security as a first-class citizen throughout every stage of the CI/CD pipeline. Here's how we do it: 🔐 **Security by Design:** Embedding security considerations in all phases of development and deployment. ⚙️ **Automation:** Leveraging automation to maximize efficiency, reduce human error, and enforce security best practices. 📈 **Continuous Monitoring:** Implementing systems and application-level monitoring for proactive issue detection and rapid response. 🌐 **Infrastructure as Code with Terraform:** Using Terraform to predictably create, change, and improve cloud infrastructure. ☁️ **Google Cloud Platform:** Leveraging Google Cloud's services to manage infrastructure components. ### Key Technologies - **Kubernetes:** Container orchestration for deployment and management. - **Jenkins:** CI/CD automation server. - **SonarQube:** Static code analysis for code quality and security. - **Aqua Trivy:** Vulnerability scanning for dependencies and container images. - **Nexus Repository:** Secure storage for build artifacts. - **Docker & Docker Hub:** Containerization and image registry. - **Kubeaudit:** Auditing Kubernetes clusters for security concerns. - **Grafana & Prometheus:** System and application-level monitoring and alerting. - **Gmail:** Status notifications and alerts. ### Workflow Overview 1. **Development and Version Control:** Feature requests via Jira, development in GitHub, and pipeline triggering. 2. **Build and Unit Testing:** Code compilation and unit testing. 3. **Code Quality and Security Analysis:** Static code analysis with SonarQube and vulnerability scanning with Aqua Trivy. 4. **Artifact Creation and Storage:** Secure artifact storage in Nexus Repository. 5. **Docker Image Creation:** Containerization, vulnerability scanning, and storage in Docker Hub. 6. **Kubernetes Deployment:** Cluster security assessment and deployment. 7. **Notification System:** Email alerts for pipeline status and critical alerts. 8. **Monitoring and Maintenance:** Comprehensive monitoring with Prometheus and Grafana. ### Problems Addressed 1. **Manual Processes:** Automating builds, testing, and deployments to reduce errors and improve efficiency. 2. **Code Quality and Security:** Ensuring high-quality and secure code with SonarQube and Trivy. 3. **Infrastructure Management Complexity:** Using Terraform for scalable and maintainable infrastructure management. 4. **Performance Monitoring:** Implementing Prometheus and Grafana for visibility into application performance. 5. **Deployment Delays:** Automating deployment processes to speed up the release cycle. #DevOps #CICD #Security #Automation #CloudComputing #Kubernetes #Jenkins #Terraform #GoogleCloud #Monitoring #SoftwareDevelopment