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Demystifying containers, Docker, and Kubernetes 

Modern application infrastructure is being transformed by containers. The question is: How do you get started? Understanding what problems containers, Docker, and Kubernetes solve is essential if you want to build modern cloud-native apps or if you want to modernize your existing legacy applications. In this post, we’ll go through what they are and how...

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Migrating to HashiCorp Terraform 0.12 on Microsoft Azure 

With the release of Terraform 0.12, we can improve the configuration of our infrastructure resources that are using the Azure Terraform Resource Provider. In this post, we will discuss how we can use Terraform 0.12 to organize, configure, and deploy resources to Azure. What is Terraform 0.12? Terraform is an open source tool that uses...

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Run, operate, and scale modern applications with Redis Enterprise on Microsoft Azure 

Today, we rely on our everyday services to be delivered digitally and expect the experience to be instant. In order for customer-facing applications to respond to users in 100ms, you need a high-performance database capable of handling a variety of application scenarios at the lowest complexity and cost, with uncompromising performance. Redis is the world’s...

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Five steps to add automated performance quality gates to Azure DevOps pipelines 

In our last post, Daniel Semedo and I provided an overview of how to add automated performance quality gates using a performance specification file, as defined in the open source project Keptn Pitometer. In this post, I’ll explain the steps required to add a performance quality gate to your Azure DevOps pipelines for both DevOps “Multi-Stage” and “Classic” pipelines using Keptn Pitometer. Step 1:...

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Kubernetes: What it is and what it isn’t 

I’m a developer and I’ll admit it, I’m learning Kubernetes. I’ve been developing web applications now for more than 20 years; however, the past two years I’ve moved to working with microservices applications. Originally the microservices were web sites on multiple virtual machines. Last year we started moving towards containers to achieve a higher density...

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Adding automated performance quality gates using Keptn Pitometer 

This blog dives into monitoring-as-code and adding automated performance quality gates into your software delivery pipelines. We’ll walk through examples using a web microservice app and an Azure function app that we developed as open source services that help you qualify the overall performance and quality of applications. Both services utilize the Keptn Pitometer open...

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How Honeycomb is empowering all developers to better understand their systems 

Honeycomb is a tool for introspecting and interrogating your production systems. It’s a new type of tool, designed to infuse observability across platforms, microservices, serverless apps, and increasingly complex systems, as well as all the way down to individual customers. I had a chance to catch up with Emily Nakashima, our Director of Engineering at...

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JUnit 5 adopts Azure Pipelines 

Prior to March 2019 we, the JUnit team, used various continuous integration (CI) services to perform CI checks, from a self-managed Jenkins instance on CloudBees to a Travis CI and AppVeyor setup. Managing three different setups was not ideal, so the team reduced the CI services used to two: Travis for Linux and Mac builds...

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Tutorial: Adding distributed tracing instrumentation to a browser JavaScript app 

In recent years, many developers have discovered the power of distributed tracing for debugging regressions and performance issues in their backend systems, especially for those of us with complex microservices architectures. But in many organizations, our most complex code may not be server-side code — it’s just as likely to be running client-side in a...

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