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

Anbox Cloud 1.26.0: what's new?

In this video, Anbox team covers new features and changes in Anbox Cloud 1.26.0 release: Deployment and operations Instance management Logging Dashboard enhancements Images Streaming CVEs What is Anbox Cloud? Anbox Cloud lets you run virtualized Android environments securely, at any scale, to any device letting you focus on your use case. Run Android in system containers, not emulators, on AWS, OCI, Azure, GCP or your private cloud with ultra low streaming latency.

An Introduction to Bitbucket Pipelines

This video provides a 90-second introduction to Bitbucket Pipelines to help you get started with CI/CD in Bitbucket. Bitbucket pipes, which are reusable pipeline steps, are introduced. About Atlassian: Behind every great human achievement, there is a team. From medicine and space travel to disaster response and pizza deliveries, we help teams all over the planet advance humanity through the power of software. Our mission is to help unleash the potential of every team.

DevEx Unpacked 004 - Scaling Startups, Blockchain & Developer Culture with Jack Spargo

Episode 004: In this episode of DevEx Unpacked, Alan Carson chats with Jack Spargo, CTO of Control Alt, about his fascinating career journey from aerospace engineering to leading blockchain-powered investment platforms. Jack shares lessons from being acquired overnight, the challenges of building a platform from scratch, and why he’s betting big on junior engineers and AI augmentation. They explore the realities of compliance, software supply chain security, and why Northern Ireland is fast becoming a serious start-up hub.

2025 Cloud Pricing Comparison: An In-Depth Guide

Over $44.5 billion in cloud spend goes to waste annually, per the FinOps Foundation. No wonder reducing unnecessary costs is critical to protecting your margins. A logical place to start? Cloud service pricing. Providers like AWS, Azure, and Google Cloud continue to evolve their pricing models. They are offering new discounts, regional rates, and shifting commitments. All to win your business. Yet, a cloud pricing comparison alone doesn’t give you a complete picture.

Could your Palo Alto firewall do more to protect you against Shadow AI?

In recent months, my conversations with fellow technology leaders have consistently revolved around two key themes: how we leverage AI to drive innovation and efficiency, and how we mitigate the inherent risks associated with AI. However, I’ve noticed a concerning gap – while enterprises are busy strategizing the adoption of AI to enhance productivity, reduce costs, and outpace competitors, very few are addressing how AI is being actively used today by their own teams.

Fluent Bit Helm Chart: Simplify Log Collection in Kubernetes

Collecting logs in Kubernetes often starts as a simple goal, and quickly turns into a game of “where did that log line go?” Between sidecars, DaemonSets, and countless config options, it’s easy to get lost. Fluent Bit helps cut through the noise. It's fast, lightweight, and plays well with Kubernetes. And when you deploy it using Helm charts? The setup becomes way more manageable. This guide covers the how and the why, without overcomplicating the what.

Datadog + OpenAI: Codex CLI integration for AIassisted DevOps

We are exploring how we can help on-call engineers troubleshoot incidents more effectively by providing the OpenAI Codex agent with access to real-time observability data in terminals. We've developed an integration and new tool visualizations that connect OpenAI's Codex CLI to the new Datadog MCP server. In this post, we'll share what we've been experimenting with: enabling an AI agent to retrieve production metrics, logs, and incidents from Datadog in real time and act on that context.

Ops Explained: AIOps vs. DevOps vs. MLOps vs. Agentic AIOps

There’s a common misconception in IT operations that mastering DevOps, AIOps, or MLOps means you’re “fully modern.” But these aren’t checkpoints on a single journey to automation. DevOps, MLOps, and AIOps solve different problems for different teams—and they operate on different layers of the technology stack. They’re not stages of maturity. They’re parallel areas that sometimes interact, but serve separate needs.