Operations | Monitoring | ITSM | DevOps | Cloud

If your organization runs on tech, everyday issues can be expected. This includes application downtime, erratic connectivity, and failures in remote access, database reachability, site-to-site VPNs, and web-based services. But how do you know if an issue is caused by: Sysadmins usually learn the root cause of an issue after a ticket comes in from the team or customer.

Vendor lock-in remains one of the most significant concerns when choosing a cloud platform. When your data becomes trapped in proprietary formats or services, migration costs skyrocket and your flexibility disappears. This challenge affects organizations of all sizes, from startups planning for growth to enterprises managing complex compliance requirements.

Non-deterministic UIs are the future and will replace your dashboards, but they’re not here yet. So until then, we’re stuck with conversational interfaces. In an effort to try and describe what I consider the future of UIs to look like, I wrote about how you (and I) have been designing dashboards wrong. The core insight was that we've been designing for static representations of data that sit on a TV in the office, when the actual use case is someone at a desk using them to debug an issue.

As AI agents move from copilots to autonomous systems, they’re generating and consuming data at unprecedented scale. The result is a new kind of infrastructure pressure — one that’s quietly reshaping how organizations think about data, cost, and control. Across IT, Security, and Observability, leaders are realizing a hard truth: too much data is too costly.

Puppet Edge Workflows, available with Puppet Enterprise Advanced, provide the orchestration tools to define multistep workflows to run against your infrastructure. This allows Puppet experts to create workflows that Ops teams can run without having deep Puppet language knowledge or the underlying infrastructure.

To have a fast and reliable experience digitally you would need to do more than resolving issues. This is why people prefer synthetic monitoring which simulates real user actions with regular intervals. Using this method, businesses can detect performance shortcomings and any technical issues. From testing website load to full flow checkout, everything can be tested before users face any issues.

The hidden blockers slowing down your incident response and how to remove them before they become reliability risks. Incidents rarely go wrong because of one big failure. Most of the time, it’s a handful of small, familiar mistakes that slow teams down, muddy communication, or create confusion in the heat of the moment. Fortunately, these mistakes are predictable and fixable.

Six months of safer releases, sharper AI insights, and a unified platform experience for feature flags and experimentation.

The rise of autonomous AI attacks operating at machine speed demands that network security evolve beyond human capacity and manual processes. Kentik AI Advisor counters this threat by using AI for good, reasoning across full network context to proactively eliminate vulnerabilities and guide immediate, confident defense.