Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB Cloud Dedicated provides hosted and managed InfluxDB Cloud clusters in a single-tenant environment and is optimized to handle high write and query loads. Today, InfluxData is releasing a visual overhaul and new features for its Admin UI. Among the recent updates are live observability for customer clusters, overhauled site navigation, and improved visibility into table schemas.

When your team shares one support number, someone has to decide who gets the calls when customers need help after hours. And if your team rotates on-call responsibilities weekly, which is common in IT (SRE, DevOps, ITOps, etc), clinical and field engineering teams, you’ve probably relied on manual call forwarding at some point. On paper, it seems straightforward: update the forwarding number each week to point to the person who’s on call. In practice? It often turns into a scramble.

As you may have noticed, Sentry just got a major glow-up. For too long our product looked like boring enterprise software, while our brand screamed bold and irreverent. No more. From this moment forward our product now matches the vibe you’ve come to expect from us. The result is something that’s more vibrant, more tactile, and more Sentry. Welcome to the S.C.R.A.P.S.

KubeCon Atlanta 2025 felt different this year — and CloudZero had a full team on the ground to capture it. Engineers, product leaders, sales reps, and CTO Erik Peterson spent three days embedded across the show floor. Their vantage points were complementary: the outbound conversations, the inbound questions, the demos, the technical deep-dives, and the quieter moments between sessions. Five perspectives stood out.

Running multiple LLMs without aggregation can feel like managing five different clouds with no dashboard. Sure, you can make it work, but you won’t like the bill. And most SaaS teams didn’t start with a multi-LLM strategy. It just happened. You added one model for reasoning, another for summarization, or maybe a fine-tuned version for customer support. Fast-forward six months, and your AI stack looks like a tangle of APIs. And each charges tokens on its own terms.

You know that uneasy pause before opening your monitoring dashboard? The one where you're hoping nothing's broken—but a part of you knows something probably is. Performance issues often start quietly: a few slow endpoints, a checkout that takes longer than usual, a graph that looks a little off. Before long, those small signals turn into alerts and support tickets.

We recently hosted our first-ever Peak Performance Summit in Bangalore, India, a one-day event focused on how value-based observability drives digital business outcomes. The summit brought together customers, partners, and technology leaders to share real-world experiences, live demos, and forward-looking ideas. The message running through every session was clear: performance isn’t just about speed. It’s about measurable business results.

Grafana Play is a free, publicly accessible sandbox environment where anyone can explore and learn about Grafana, no setup or sign-in required. It comes preloaded with sample dashboards demonstrating how to connect to data sources, build visualizations, and experiment with Grafana’s advanced features. Hosted on Grafana Cloud, Grafana Play has grown significantly over the years. With thousands of public dashboards, it’s now a go-to destination for Grafana learning and exploration.

About two months ago, an incident at Grafana Labs was kicked off in typical fashion: A series of alerts were triggered, our on-call engineer acknowledged it on Slack, and the rest of the team quickly began hypothesizing about the potential culprit. But the way the incident was resolved was anything but typical. Yes, our internal team followed best practices to resolve the incident as quickly as possible.

In today’s tech world, IT and security technologies are the functional equivalent of Pokemon. To gain the insights you need, you “gotta catch ‘em all” by ingesting, correlating, and analyzing as much security data as possible. Data pipelines organize chaotic information flows into structured streams, ensuring that data is reliable, processed, and ready for use.