Operations | Monitoring | ITSM | DevOps | Cloud

Most monitoring tools weren't built for the AI-first world. By nature, traditional monitoring platforms force you out of your natural coding environment and trap you in clunky web interfaces, brittle configuration panels, and rigid APIs. And sadly, when monitoring providers do offer "AI features," it's usually a chatbot bolted onto their existing UI, being nothing more than a pale imitation of the AI tools you’re reading about every day on Hacker News. All this creates friction.

InfluxDB has been a popular time series database for the better part of a decade, and the latest release represents years of work behind the scenes to address several major feature requests users have been asking for since the earliest days of the time series database.

The best problems are the ones you never have to deal with. That's why smart teams catch issues early on, before they impact production. Cycle gives great visibility to spot troublesome workloads, control resource usage, and take action before things go sideways.

Atlassian just pulled the plug on Opsgenie. On December 3, 2024, they announced that Opsgenie will reach end-of-life by April 2027. New sales stopped on June 4, 2025, and if you're using the JSM-bundled version, you'll lose access even sooner—October 2025. Here's the kicker: Atlassian wants you to migrate to their fragmented JSM + Compass combo, which splits your incident management across multiple tools. The reality? Teams are frustrated.

For many organizations, scaling up their systems means incorporating new tools to build out infrastructure, optimize code performance and security, improve communication, and track cost changes. While these changes are necessary to support an increased workload, they often result in a situation where even the most basic tasks involve switching between multiple platforms.

Accelerate development & testing with ephemeral environments. Explore their benefits, key tools (Docker, Kubernetes, CI/CD), and how Qovery simplifies setup for on-demand, production-like dev environments.

Quickly deploy a production-ready Amazon EKS cluster in just 10 minutes. This step-by-step guide covers essential setup and best practices for running scalable, secure Kubernetes workloads on AWS.

When applications slow down, users leave, and engineering teams scramble. Whether you're troubleshooting a spike in response times or chasing down intermittent backend failures, Application Performance Monitoring (APM) provides the visibility you need to detect, diagnose, and resolve performance issues before they impact your users or business goals. For engineers, APM isn’t just a convenience - it’s essential. But not all APM tools are created equal.

Application performance management (APM) is the practice of regularly tracking, measuring, and analyzing the performance and availability of software applications. APM helps you get visibility into complex microservices environments, which can overwhelm site reliability engineering (SRE) teams. The generated insights create an optimal user experience and achieve desired business outcomes.

Today is a special day at Aiven. We are incredibly proud and humbled to announce that we have officially surpassed $100 million in annual recurring revenue. This is more than just a number on a dashboard. It’s a powerful milestone that reflects the trust of thousands of developers, the incredible innovation of our customers, and the relentless dedication of our global team—the Aiven crabs.