As DevOps, containers, and microservices accelerate application delivery, security must keep pace. This guide covers five practical strategies—from WAF deployment and continuous security automation to data-centric protection—that help engineering teams embed security throughout the development lifecycle.
Learn how treating shared databases as APIs—using views, triggers, and stored procedures—enables continuous deployment of database changes without breaking dependent applications.
DevOps moves fast, but help desks often lag behind. Learn how to align support teams with CI/CD pipelines, fix broken KPIs, and build feedback loops that keep both users and developers informed.
Windows-based DevOps environments have historically lagged behind their Linux and open-source counterparts, but a combination of improved Microsoft tooling and capable third-party CI/CD tools is helping Windows shops accelerate delivery pipelines.
Without clear metrics, DevOps initiatives drift without direction. Learn which key metrics—deployment frequency, change failure rate, MTTR, and change lead time—give engineering teams the feedback loops they need to improve continuously.
DevOps has evolved beyond simply tearing down the wall between dev and ops. A newer model positions ops teams as platform builders who enable developers with self-service tools, then step back. Here’s what that means for your organisation.
Learn how to set up continuous integration and continuous delivery (CI/CD) pipelines for Xamarin mobile apps, covering source control, automated builds, testing, signing, and distribution to testers and end users.
Shared environments and slow provisioning are the hidden bottlenecks killing most DevOps pipelines. Learn how combining Docker containers, GitFlow, and CI/CD tooling can automate your build-and-deploy workflow and help you ship faster.
Learn how Jenkins supports continuous deployment using post-build actions, the Deploy to Container plugin, and the Delivery Pipeline plugin to automate and visualize your entire software delivery flow.
Docker has become one of the most widely adopted platforms in modern software delivery. This article explains what Docker is, how it relates to containerization, and the ten most important benefits it offers DevOps and engineering teams.
Agile and DevOps are often treated as competing philosophies, but they address different parts of the software lifecycle. Here’s why combining them delivers better outcomes than picking one.
Learn how to build a Dockerized Python Flask todo application, write automated tests, and set up a complete CI/CD pipeline using Semaphore to deploy automatically to Heroku.
Learn how Thumbtack built a continuous deployment pipeline using Jenkins and Gerrit, featuring automated canary rollouts, repository locking, and Slack-integrated deploy notifications.
Continuous deployment is the “holy grail” of DevOps—but is it right for every organisation? Understand the differences between CI, continuous delivery, and continuous deployment, and learn how to assess whether your business has the technical maturity and culture to benefit.
Learn how to build a complete continuous development pipeline that automatically builds, deploys, and tests a Node.js application using GitHub, CircleCI, Heroku, and Assertible.
Learn how to apply continuous deployment principles to your automated test assets. This guide walks through structuring keyword-driven tests, building a Jenkins pipeline, and safely deploying keyword libraries to Silk Central on every commit.
Continuous integration and continuous deployment are not all-or-nothing mandates. Learn how to calibrate your CI/CD cadence to match your organisation’s risk tolerance, team maturity, and business requirements.
Learn how to deploy a microservices application to Kubernetes on Google Kubernetes Engine (GKE) and automate continuous deployment using Semaphore CI — including cluster creation, pod management, services, deployments, and a full CD pipeline.
Learn how the New York Times engineering team built open-source Drone CI plugins—drone-gke and drone-gae—to automate continuous deployment to Google Container Engine and Google App Engine.
Long build and test times kill developer productivity. Splitting your application into separate Docker containers can dramatically speed up your CI/CD pipeline by enabling parallel builds, smarter caching, and independent service testing.
