The Agent Harness: The Real Foundation of Enterprise AI

Why the agent harness – not the AI model or the generated code – determines the success of enterprise AI initiatives, and how to build one in five steps.

AI agents are transforming the enterprise at speed – and the risk is growing just as fast. How the "in dubio pro securitate" principle, formal verification, and zero trust keep agentic AI safe and compliant.

Why moving to Atlassian Cloud matters now, what the cloud offers and how a migration succeeds from assessment to go-live.

The key cloud and collections announcements from Atlassian Team’25 Europe: AI-native software, service, teamwork and strategy collections plus new enterprise capabilities.

Bugs found late cost time, money, and trust. The shift-left approach moves testing and quality assurance as early as possible into the development cycle.

Unclear ownership, manual steps, and time pressure turn releases into chaos. Here's how Jira brings structure, automation, and quality to your release management.

A post-incident review is more than a closing report – it helps you understand root causes, improve processes, and draw valuable lessons from every incident. Here's how to run one effectively in Jira Service Management.

Without self-service, companies drown in administrative tasks. We explain what self-service is, which challenges it solves, and which tools you can use to build it.

What developer self-service is, the types that exist, its advantages and drawbacks, and how it works in practice – a comprehensive overview.

Transform your cloud infrastructure with Platform Engineering and JSM Cloud – our webinar shows you how.

Platform engineering, internal developer platforms, and developer self-service – we explain the terms, the differences between them, and walk through a real-world example built on Jira Service Management and AWS.

Kubernetes, Amazon ECS, and Azure Container Apps compared head-to-head: features, benefits, use cases, and a comparison table to help you decide.

Concepts, best practices, and tools: how monitoring and observability help DevOps teams catch problems earlier and ship software faster and more reliably.

From incremental builds to blue/green deployments: advanced techniques DevOps teams use to fine-tune their build-test-deploy pipeline.

Manufacturers are increasingly becoming software companies. DevSecOps helps them break down silos, build in security from the start, and stay competitive.

From Agile to vulnerability scanning: the key DevSecOps terms explained in one place.

DevOps ships fast – but speed without security is risky. Why DevSecOps brings development and security together, and how companies benefit.

A structured guide to troubleshooting distributed systems – from post-mortem analysis to post-incident review.

From clear ownership to chaos testing: 10 best practices for running microservices reliably in production.

How DevSecOps builds security into the entire development process – with real-world examples from Capital One and eBay, and metrics for measuring success.

Infrastructure as code replaces manual server configuration with machine-readable definition files. Here are the benefits, the challenges, and the key tools.

DevOps knowledge, secure SDLC, application security, cloud infrastructure, and communication: the five skills that define a DevSecOps engineer.

DevOps automation enables faster, more consistent deployments and fewer manual errors. We cover the typical challenges and how to get started.

New to DevOps? A crash course on automation, monitoring, CI/CD, and the culture you need to get started successfully.

Mistakes happen – the question is whether you learn from them. How to build a blameless post-mortem culture in your DevOps organization, illustrated by Facebook's 2021 outage.

Late last year, we launched Container8 – a DevOps as a Service platform. At Serview Festival, Benjamin Nothdurft of codecentric AG showed exactly how it works in practice in a live keynote.

CALMS is a framework that helps you assess your organization's readiness for DevOps and measure progress throughout a DevOps transformation.

How DevOps and CI/CD speed up your software's time to market – through deployment automation, test automation, and efficient bug fixes.

From system outages to rollbacks to canary releases: the common IT pain points that DevOps methods like blue-green deployment and infrastructure as code actually solve.

Deploying Atlassian software can be automated elegantly with AWS, Kubernetes and Spinnaker. Part 1 of this series looks at the infrastructure behind it.

Deploying Atlassian software with AWS and Spinnaker, including Kubernetes support. Part 3: project and user management, and DNS.

Deploying Atlassian software with AWS and Spinnaker, including Kubernetes support. Part 2 of a three-part series: deployment.