Operations | Monitoring | ITSM | DevOps | Cloud

Digital employee experience isn’t just a nice to have anymore. In hybrid, SaaS heavy IT environments Digital Employee Experience (DEX) is where productivity can live or die. Employees don’t care whether the culprit is Wi‑Fi connectivity, CPU/RAM load, poor battery life, or a misbehaving cloud app. They just know work got harder.

We built something called Auvik Aurora, and before you scroll any further, I can already hear your thoughts. “Wait a second, Anto. Is this going to be another blog post giving me the hard sell on using AI?” Fair enough, I don’t think anyone would blame you, especially when we’re seeing AI adoption across nearly every industry, tool, hobby, workflow, or even . The blank is intentional, AI is everywhere, and chances are that you already know that it matters.

Half a year ago, we launched a free tier cloud Kafka. We have 16,808 clusters so we got curious: what are these builders telling us about the state of Apache Kafka? The headlines this quarter suggest Kafka is dying because the streaming market is consolidating. At Aiven we see the opposite. Kafka is not shrinking. It is spreading outward from enterprise platform teams into the hands of individual builders. We are now seeing >200 new Kafka clusters created per day on the free tier.

Over the past few weeks, we have been driving a cross-ecosystem effort to replace the “monkey-patching” that powers all JavaScript APM tools today with something built into the runtime. Here is why, how, and where it stands. This applies to server-side JavaScript only (Node.js, Bun, Deno, Cloudflare Workers). Browsers do not have diagnostics_channel and lack the async context propagation primitives needed to polyfill it.

Most ActiveMQ outages are not sudden failures. They are visible in the metrics for minutes, sometimes hours, before they become incidents. A memory usage graph climbing past 60%. A queue depth that isn't draining. An enqueue time that doubled after a deployment. A consumer count that dropped from 3 to 1 at 2 AM.

Over the last decade, a great deal of data privacy regulations have been passed in the European Union. Like it or not, measures like GDPR, the Digital Services Act, and the upcoming Artificial Intelligence Act are exerting increasing influence across industries over how and especially where the data of European customers is stored. In this article, we will explore the ways to keep the simplicity of a Platform as a Service (PaaS) while utilizing only European providers.

I’ve been doing this for over thirty years. Sysadmin, ops lead, global teams, and more data centre migrations than I’d like to admit. Site to site, P2V, V2V, cloud, hybrid, all of it. Every migration gets sold as a clean, well-planned transition. None of them are. They go wrong in very predictable ways. Not because moving infrastructure is especially difficult, but because nobody ever has a clear, current view of what’s actually running, what’s changed, and what still matters.

A major new study from Harvard Medical School and Beth Israel Deaconess Medical Center has found that a large language model (LLM) outperformed physicians across a wide range of clinical reasoning tasks, including making emergency-room triage decisions from messy, real-world patient data. The findings, published April 30 in Science, represent one of the largest comparisons yet between AI and physicians on clinical tasks.

Many security teams are looking to move off Splunk, whether to reduce licensing costs, consolidate their SIEM, or take advantage of Google SecOps' built-in threat intelligence and YARA-L detection capabilities. But migrations aren’t easy, and no one wants to run blind while they evaluate and move to a new platform. With OpenTelemetry and Bindplane, you can easily make the switch to SecOps without impacting your existing stack.