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Six Lessons from Production gRPC

In the half-decade since gRPC became part of our production ecosystem, we've encountered a range of challenges and discovered a few hidden pitfalls that can trip up even the most experienced teams. Below, we'll walk through some of the core lessons learned, with tips, best practices, and examples drawn straight from the trenches.
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Hidden Risks in Linux Power Monitoring - And How to Fix Them

In today's enterprise IT landscape, Linux on IBM Power Systems plays a crucial role in powering mission-critical workloads. Industries such as finance, healthcare, telecommunications, and manufacturing rely on IBM Power's scalability, performance, and security to handle large-scale data processing, AI-driven analytics, and high-performance computing. As these environments continue to evolve, ensuring peak system performance and reliability is more important than ever.

From Cost Centre to Compounding Advantage

Most teams still treat bugs like little fires to put out. A ticket gets logged. Someone investigates. A fix gets pushed. Then it’s onto the next one. But here’s the thing nobody tells you: Every bug is a chance to get smarter. And in 2025, the best teams aren’t the ones logging the fewest bugs. They’re the ones learning the most from every bug they fix.

How to Monitor Website Performance Smarter and Faster

Is your website really performing the way your users expect? In today’s digital world, even small slowdowns can mean lost revenue and damaged brand trust. That’s where ScienceLogic comes in. This video shows how ScienceLogic’s website monitoring gives you real-time and historical visibility across regions and infrastructure. From synthetic transactions to full-stack observability, you’ll see how to spot performance issues early, validate autoscaling, and ensure fast, reliable digital experiences.

Want AI to be better at debugging? It's all about context

More code is being shipped today than ever before, accelerated by AI powered code gen tools. We’re in a golden age for builders. But here’s the thing: software still breaks in production. From a recent study by Microsoft, AI models struggle to debug software. It’s because most of these code gen tools lack the one thing every good developer relies on: context. To debug anything, you need context. Having AI tools doesn't change that.

Hybrid Cloud Monitoring: A Comprehensive Guide to Strategies, Best Practices, and Tools

Modern infrastructures are no longer confined to on-premises servers alone. Instead, they span cloud environments, containers, microservices, and globally distributed systems. This landscape, known as a hybrid cloud environment, has become the new norm for organizations, primarily because it offers the scalability of the cloud and ownership over specific elements afforded by an on-premises setup.

CFEngine 3.26 released - Admin

Today, we are pleased to announce the release of CFEngine 3.26.0! Being a non-LTS (not supported) release, this release allows users to test the new functionality we’ve been working on before it arrives in an LTS release later this year. The codename for this release is a bit different, as it is named after a new feature introduced, and what it eliminates - the admin user.

The Secret to Effective Edge AI: Mastering Data Pre-Processing

Discover why deploying Edge AI isn't just about feeding raw data into algorithms. François Baldassari reveals the crucial art and science of data pre-processing that makes AI systems truly effective. Uncover the surprising steps behind transforming vision-based AI into a powerful tool.