Operations | Monitoring | ITSM | DevOps | Cloud

As we look at the role AI can play in Grafana going forward, we want to move beyond the simple chat responses that dominate the world of LLMs today and into agentic systems—AI that can understand, reason, and act on your behalf. The ultimate goal is to make it easy to get things done in Grafana using natural language—whether you’re a seasoned SRE or a new developer. And in the AI world, we call this moving from chat completion to task completion.

Since 2020, Qovery has taken a contrarian approach in a market dominated by short-term compromises. While others built "yet-another-PaaS" platforms, we made three deliberate bets that made Qovery different and much harder to replicate.

Imagine it’s 2 AM and a critical system flatlines without warning. A bleary-eyed on-call engineer scrambles to restore service, shielding customers from a major outage that could torpedo your next Service Level Objective (SLO) review. Yet when daylight returns, debates over fair on-call compensation start all over again: What’s “just” pay for sleepless nights, unpredictable pings, and rapid-fire incident responses?

Get a better structure in your SCOM environment with the Opslogix Classification Management Pack Alerts in SCOM can easily become overwhelming, making your environment feel noisy and unstructured. The real challenge is how you can get the right amount of alerts to the right people, at the right time. The Opslogix Classification Management Pack includes features like tiered classification levels, dynamic grouping, and extended tagging.

InfluxDB 3.2 is now available for both Core and Enterprise, bringing the general availability of InfluxDB 3 Explorer, a new UI that simplifies how you query, explore, and visualize data. On top of that, 3.2 includes a wide range of performance improvements, feature updates, and bug fixes. InfluxDB 3 Core is free and open source, optimized for recent data, and licensed under MIT and Apache 2.

When you adopt FinOps to maximize the value of your cloud spending, you may have some simple first steps you can take to gain cost efficiency. For example, you can find and delete any unused resources to quickly realize a one-time optimization. But the ongoing work to manage cloud costs becomes complex as your organization grows, your infrastructure spans multiple clouds, and you can't easily see the full value of your cloud spending by tracking only the bottom line.

Until now, deploying Pandora ITSM required a standalone installation, manual database configuration, and later integration with Pandora FMS. With the new NG 783 version, that entire process has been simplified: Pandora ITSM can now be installed directly from the Pandora FMS web console, no additional servers, no external steps, and with integration already configured.

You spun up Azure SQL for your app backend, added Cosmos DB for global performance, and let your devs explore PostgreSQL freely. Everything worked — until the invoice hit. Your engineers need high availability and performance. Your CFO wants predictability. And you’re stuck trying to untangle what, exactly, is driving your Azure bill. You’re not alone. Between service types, pricing tiers, and throughput models, Azure database pricing can surprise even experienced teams.