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.

Most enterprises already have enough asset data – what they lack is visibility. How a lightweight tool turns administrative data into real decision-making insight, and uncovered nearly €50,000 a year in savings for one customer.

How XALT uses Jira Product Discovery to turn idea chaos into clear prioritization and seamlessly connect product strategy with software delivery.

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

Five Active-Active architecture designs we implemented for a banking client in Google Cloud – with the obstacles we faced and the lessons we learned.

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.

Learn how to use artificial intelligence securely, compliantly, and efficiently within your organization using Azure and OpenAI – an overview.

Atlassian has ended support for its Server products. Here's what staying on Server puts at risk, and why the cloud is the future-proof choice.

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.

An unsecured cloud can cost companies millions per incident. Here's how authentication, encryption, and access control cut risk and boost ROI.

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.