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

How does AI-powered computing keep a ball balanced? #canonical #intel #embeddedworld #shorts

At Embedded World 2025 at Canonical's booth 4-160, lntel is showcasing an amazing balancing ball demo, powered by. It demonstrates the power of Intel’s cutting-edge processors, combined with the flexibility and reliability of Ubuntu, handle complex physics in milliseconds, ensuring smooth, dynamic balance with precision. A perfect example of how real-time control can be applied to, automation, and industrial AI!

Incident Response: Keeping Cool When Everything's on Fire

The DevOps revolution broke down the traditional silos between development and operations, fundamentally reshaping how we build and maintain software. But with this evolution came an inevitable reality for many engineers: being on-call and responding to incidents. While critical for service reliability, the on-call experience often brings significant stress.

Announcing HAProxy Enterprise 3.1

HAProxy Enterprise 3.1 is now available! With every release, HAProxy Enterprise redefines what to expect from a software load balancer, and 3.1 is no different. With a brand new ADFSPIP Module and enhancements to the HAProxy Enterprise UDP Module, CAPTCHA Module, Global Profiling Engine, Stream Processing Offloading Engine, and Route Health Injection Module, this version improves HAProxy Enterprise's legendary performance and provides even greater flexibility and security.

Best practices for optimal infrastructure performance with Magento

Authored by Upsun Magento specialists, Stephanie Daugherty and Jared Wright. Magento is a powerful eCommerce platform that drives thousands of online stores worldwide. Its flexible, scalable, and feature-rich environment makes it a top choice for retailers across diverse industries. However, Magento’s extensive feature set and complexity can create performance bottlenecks—especially as businesses scale.

How a major retailer tested critical serverless systems with Failure Flags

Not too long ago, a customer came to us with a high-value use case. The customer, a major apparel company with retail and e-commerce applications, needed to prove that a critical service of their payment applications could failover correctly between regions in case of an outage. But there was one snag: the service was built using AWS Lambda. This meant infrastructure-focused tests would have trouble replicating the failure conditions necessary to test the failover due to Lambda’s serverless model.

Introducing Launchpad for GitKraken On-Premise: Start Your Day Informed

GitKraken On-Premise customers, we’ve got exciting news! The powerful Launchpad feature, previously available only in GitKraken Cloud, is now making its way to your self-hosted environment. This update brings a simplified, efficient, and fully local way to start your day informed—helping you stay on top of your Git activity without relying on external cloud services.

What is agentic AI? The role of AI agents in DevOps automation

Agentic AI represents the next evolution in artificial intelligence systems, characterized by autonomous software entities that can independently pursue goals, make decisions, and take actions with minimal human supervision. Unlike traditional AI models that respond only to specific prompts, AI agents actively observe their environment, learn from feedback, and execute complex sequences of tasks to achieve defined objectives.

How to Mock AI APIs Using proxymock

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

Introducing Audiences: AI That Tailors Incident Communication to Every Stakeholder

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.