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.

ITSM doesn't have to be complicated. Jira Service Management proves that powerful service management and great user experience go hand in hand.

ITSM has transformed IT. Enterprise Service Management takes the same principles and applies them to HR, Legal, Finance, Facility Management, and every other department.

A practical 3-pillar framework for IT decision-makers: how to get data leaks, model poisoning, and shadow AI under control and turn AI security into an innovation driver.

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.

Jira, Slack, GitHub, AWS, Azure – how to connect Jira with your most important tools and create a single source of truth for your team.

Creating tickets, chasing status updates, building reports – manual routine work eats up time and energy. Here's how to digitize and automate your processes with Jira Cloud.

An internal team, an external vendor, two separate Jira instances: here's how to synchronize projects, tickets, and workflows across multiple Jira instances.

Jira doesn't make it easy to see how long a ticket sits in a given status. Here's an overview of built-in features, Marketplace apps, and custom solutions for tracking time in status.

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.