Operations | Monitoring | ITSM | DevOps | Cloud

As more teams rely on public repositories in their software supply chain, the dependency chain has become both a critical foundation and a potential blind spot. Dependency chain abuse is not new, but a growing list of attack vectors - like typosquatting, dependency confusion, and now slopsquatting - means security leaders need to respond quickly as attackers adopt new techniques.

When you’re up and running with FireHydrant, there’s no better incident management experience out there. We built it that way — fast, intuitive, reliable when it matters most. Now, the first five minutes are just as streamlined and enjoyable as the rest. We rebuilt our onboarding flow from the ground up and cut setup time by over 90% in the process. With the new onboarding experience, you get a guided experience to connect your tools and get the most out of FireHydrant.

I’m delighted to share that you can now run Redgate Monitor’s data repository on PostgreSQL with TimescaleDB, achieving dramatically improved performance and scalability at reduced cost.

Docker containers isolate application environments, making performance monitoring essential for visibility and stability — especially at scale. To manage production effectively, teams need clear insights into resource usage, bottlenecks, and failure points. This guide covers key Docker metrics, how to collect them, and how to use that data to keep your containerized systems running smoothly.

Managing infrastructure drift doesn't always start with your code. Changes are often made directly to cloud resources—whether through urgent security hotfixes, manual fixes, or automated optimization and security tools. To ensure your Infrastructure as Code stays fully aligned, env0 now suggests a pull request based on those cloud-side changes, allowing you to easily review, merge, and sync your environments. This enhancement expands drift remediation to cover the full lifecycle.

Running cloud infrastructure without forecasting is a lot like operating a delivery company without checking the weather. You might plan for smooth traffic and sunny skies, only to be hit with a sudden storm, delays, and unexpected costs. The same happens when your cloud usage spikes and your AWS bill catches you off guard. For engineers, CTOs, and CFOs alike, AWS forecasting isn’t just about estimating future costs.

Loki is a powerful, scalable log aggregation system designed by Grafana to efficiently collect, store, and query logs. It’s often deployed alongside Prometheus as part of modern observability stacks. Loki’s design emphasizes cost-effective storage by indexing only metadata, which makes it a great choice for high-volume environments. But while Loki excels at log ingestion and indexing, many teams overlook the critical task of monitoring Loki itself.

Written by author, adapted by AI Tasteful AI features? Is that even a thing? With GitKraken Desktop 11.1, we think we’ve struck the right balance of adding useful AI capabilities that stay out of your way until you actually need them. In our previous release, we introduced GitKraken AI, which helps explain selected commits and generate commit messages. With 11.1, we’re building on that foundation with two major enhancements that bring even more context-aware assistance to your workflow.