Operations | Monitoring | ITSM | DevOps | Cloud

Deployed Is Not the Same as Ready: How Mature Is Your Kubernetes Environment?

Kubernetes adoption is no longer the challenge it once was. More than 82% of enterprises run containers in production, most of them on multiple Kubernetes clusters. Adoption, however, does not mean operational maturity. These are two very different things. It is one thing to deploy workloads to a cluster or two and quite another to do it securely, efficiently and at scale. This distinction matters because the gap between adoption and Kubernetes operational maturity is where risk accumulates.

Faster code doesn't mean faster delivery

Software development has never moved this fast. JetBrains' 2026 AI Pulse Survey found that 90% of developers now use at least one AI tool at work. CircleCI's 2026 State of Software Delivery report, covering 28 million workflows across 22,000 organizations, found that daily CI workflow runs jumped 59% year over year, the largest single increase they've ever recorded. In that same period, CI success rates dropped to a five-year low.

Smarter Alert Management: Test on Historical Data, Review Transitions, and Preview Silencing Schedules

Alert fatigue usually isn’t caused by one thing. It’s the accumulation of thresholds that are slightly too sensitive, alerts that fire during known maintenance windows, and historical patterns that nobody has the tools to review easily. Fixing it requires better visibility into how alerts actually behave over time, and a way to test changes before they hit production. We’ve shipped three improvements to alerting in Netdata that address different parts of this problem.

VictoriaMetrics at KubeCon: Optimizing Tail Sampling in OpenTelemetry with Retroactive Sampling

Last month, the VictoriaMetrics team gave a talk on retroactive sampling at KubeCon Europe 2026. By writing this blog post, as a transcript of the session, we want to explain how retroactive sampling reduces outbound traffic, CPU, and memory usage in the data collection pipeline significantly compared to tail sampling in OpenTelemetry.

The End of Manual Instrumentation: Scaling Observability with OTel OBI & Coralogix

Traditionally, achieving deep visibility into distributed systems required significant trade-offs in engineering time. Collecting meaningful application metrics and traces required teams to embed language-specific agents, modify source code, or manage complex library dependencies across every service.

Debugging multi-agent AI: When the failure is in the space between agents

I've been building a multi-agent research system. The idea is simple: give it a controversial technical topic like "Should we rewrite our Python backend in Rust?", and three agents work on it. An Advocate argues for it, a Skeptic argues against, and a Synthesizer reads both briefs blind and produces a balanced analysis. Each agent has its own model, its own tools, its own system prompt. It worked great in testing. Then I noticed the Synthesizer kept producing analyses that leaned heavily toward one side.

Infrastructure Integrity: Preventing Facility Downtime

Every facility manager knows the stress of a sudden power outage or a leaking roof. These moments disrupt work and cost money that could be spent on growth. Keeping a building running smoothly requires a plan that goes beyond fixing things when they break. It means looking ahead to stop problems before they start. When infrastructure is strong, businesses can focus on their daily goals without worrying about the walls around them. Preventing downtime is about making smart choices today to save time tomorrow.

Beyond Stickers: The Tech Event Swag ROI Guide for 2026

Walking through a tech conference hall feels like a sea of plastic. Attendees pick up items they likely drop in the hotel trash before checkout. Companies spend thousands on items that never reach a home office or a daily routine. This year marks a shift in how brands think about their physical presence. Smart marketing teams now view giveaways as a strategic investment. High-quality items replace cheap plastic to create a lasting connection with the target audience.

How Automation Can Eliminate Tax Season Chaos for SaaS and DevOps Teams

The arrival of tax season often feels like a scheduled system crash. For SaaS founders and DevOps teams, the transition from building and scaling to hunting down receipts and categorizing cloud spend is a jarring shift. It is a period defined by context switching and administrative friction. However, the same principles that govern high-performing engineering teams, efficiency, scalability, and automation, can be applied to financial workflows. By moving away from manual data entry and toward automated systems, teams can eliminate the seasonal panic and maintain their focus on innovation.