Operations | Monitoring | ITSM | DevOps | Cloud

Consolidation unifies your observability stack, readies it for AI, and paves the path to autonomous IT. Many IT leaders consider consolidation because of cost pressure or rising vendor spend. But the real challenge goes deeper. IT environments have become more complex, distributed, and noisy, making it difficult for fragmented tools to keep up.

Running Graylog on Kubernetes has been possible for a while, but let’s be honest: it usually involved a fair amount of DIY. Custom manifests, duct-taped values files, and more than one late-night kubectl describe pod. That changes today. We’re releasing the first-ever Graylog Helm chart for Kubernetes — now available in beta.

As organizations grow their cloud environments and branch office networks, maintaining reliable connectivity and application performance becomes more complex. VeloCloud SD-WAN provides dynamic, policy-based routing to help ensure that your connectivity is dependable and cost-efficient, and that your applications perform consistently.

In an era where digital performance defines business success, large enterprises are embracing Event Intelligence Solutions (EIS) to keep services available, resilient, customer-facing operations protected from disruption. According to Gartner, Event Intelligence Solutions use AI and advanced analytics to enhance and automate how organizations respond to signals generated by digital services.

For many years, uptime and availability have been basic standard measures of server health monitoring. But if a server is up and responding to a ping or HTTP request, does that really mean that all is well? In reality, uptime and availability alone often provide a false sense of security. A server can be technically “up” while being seconds away from a crash, running out of memory, operating with an expired license, or silently failing critical updates.

I’d like to share a new influxctl ease-of-use feature in v2.12.0 that makes it easier to optimize important queries or debug slow ones. influxctl has had the capability to send queries and display the results in JSON or tabular formats for some time.

It’s no secret that all software and more broadly, any technology that doesn’t move atoms is ripe for disruption by the current and future capabilities of large language models. Any workflow, application, or digital process that can be expressed in code can be redesigned, improved, and transformed at speed and scale. AI-first companies will outpace legacy players by orders of magnitude, and many workflow-based models with humans in the loop will be fundamentally reshaped.

This is one of our most requested features – and it’s finally here. Many of you told us that as your monitoring setup grows, it becomes harder to manage long lists of services and harder for users to quickly understand what’s actually affected during an incident. Monitor groups were built to solve exactly that. Now you can organize related monitors together and present a clearer, more structured view of system health everywhere StatusGator is used.