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.

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.

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.

Trust, small changes, and a frictionless CI/CD pipeline: how XALT built a development culture that supports dozens of deployments a day.

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.