Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Why Jenkins might cost you 10x more than Bitbucket Pipelines

Any company still running their own CI/CD, such as Jenkins, is paying a price. The question is which one: Each of these is extremely costly, and yet many software teams still host and run their own CI/CD for two reasons: tools like Jenkins are cheap or free, and hosting Jenkins on an AWS EC2 instance is often cheaper per minute than SaaS CI/CD services like Bitbucket Pipelines. Both reasons are true, but they’re also a trap.

Best Practices for Data Centre Migration A Risk-Aware Guide for IT Leaders

When a data centre migration is executed well, it enables growth and strengthens resilience. When it is not, the consequences are immediate: service downtime, compliance breaches, and operational disruption that affects both clients and internal teams. For IT leaders, the pressure lies in modernising infrastructure without compromising continuity.

Why Now Is The Time To Put In A 2026 Budget Request For Cost Management Software

As the Senior Manager of Finance & Accounting here at CloudZero, and with a career in FP&A that includes tenures at large public companies, I’ve spent a significant amount of time observing the interactions between the folks who plan the company’s budget and those who spend it. While engineering and operations teams focus on the execution side, my team ensures that the company has the resources required to make each endeavor a success.

env zero Unveils Enhanced Cloud Governance Platform to Future-Proof Infrastructure Delivery in the AI Era

env zero today announced the next evolution of its Cloud Governance Platform. Designed for the speed, scale, and complexity of the AI era, and marked by a fresh new look and feel, the enhanced env zero platform empowers enterprises to deliver infrastructure 10x faster without losing control of infrastructure governance, security, compliance and cost oversight.
Sponsored Post

Accelerating Software Development: Modern SDLC Practices with AI and Automation

Modern software teams - especially in fast-paced SaaS startups - face constant pressure to deliver features quickly without compromising quality. The Software Development Life Cycle (SDLC) has evolved significantly in recent years, and embracing new AI-powered tools and automated workflows can dramatically increase a team's velocity. In this whitepaper, we'll explore how a small team of developers can work smarter and faster by integrating AI assistants, AI pair programming, modern Git workflows, and automated testing into their SDLC.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.

Ubuntu Pro Containers on AWS: Secure Your Workloads

‎‎ Subscribe and join the Ubuntu community. ‎ ‎‎ Learn how to build and run Ubuntu Pro containers on AWS with enhanced security coverage. In this step-by-step walkthrough, we demonstrate how Ubuntu Pro enhances protection for third-party open-source libraries, enabling you to patch CVEs more quickly and maintain secure workloads. You’ll see how to: · Launch an Ubuntu Pro server on AWS· Create and attach Pro containers using tokens· Build a simple PHP container with Pro security updates enabled· Verify security patches with ESM repositories· Run and test your container on AWS.

Ship features faster and safer with Datadog Feature Flags

Releasing new features is one of the highest-stakes moments in the software delivery life cycle. Even with CI/CD pipelines in place, plenty of things can still go wrong when a feature goes live for actual users. Most feature flagging tools operate in isolation from important observability tooling, forcing engineers to monitor changes across multiple disconnected systems to fully understand their impact. This slows down development and increases the chance of missing critical issues.