Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes was never just about cost savings. It was built to be a robust, scalable, and efficient platform for orchestrating containerized applications. And it was meant to abstract infrastructure away so developers could move quickly and go about their business of developing. But as Kubernetes adoption scaled, so did cloud bills. FinOps tools emerged to rein in spending, but most only scratch the surface.

Network Address Translation (NAT) is foundational in today’s enterprise and cloud networks, yet NAT documentation often remains an afterthought, managed in spreadsheets or skipped entirely. This creates unnecessary complexity, security blind spots, and wasted IP resources. At LightMesh, we believe IP address management (IPAM) should include intuitive tools to track NAT configurations just as easily as subnets and IP assignments.

If you’re stuck between choosing Spike vs. PagerDuty for your on-call management, you’re at the right place. I wrote this blog post to end your confusion and help you make a better choice. I’ve presented a comparative analysis for these two tools across 4 key criteria (keep reading to find what they are). For each criterion, there’s either a winner or a tie. When it’s a tie, each tool gets one point. If there’s a winner, that tool gets two points.

Choosing the wrong metric type in Prometheus can lead to inaccurate dashboards, false positives in alerting, and missed indicators of system failure. Gauge metrics are intended for tracking values that can go up and down, such as memory usage, queue depth, or the number of active connections. Unlike counters, which only increment (or reset on restart), gauges reflect the current state of a resource at scrape time.

This recognition highlights our commitment to simple, cost-effective IT monitoring—no frills, just results.

Many companies are rapidly adopting cloud-native computing services, like containers, microservices, and serverless computing. Unlike monolithic applications, these technologies rely on distributed architectures. Whether you are running them in the cloud, on-premises, or both, distributed systems consist of thousands or millions of processes and components. The challenge now is to make these complex systems’ inner workings visible, controllable, and improvable.

david.arrowsmith • June 27, 2025 IT Operations (ITOps) managers need to ensure always-on availability across a more complex and hybrid ecosystem than ever before. Event storms, patchwork toolchains and slow root cause analysis (RCA) impede responsiveness and undermine the high digital performance customers demand. The Event Intelligence and Service Observability Platform from Interlink Software addresses this.

AI has emerged as a defining force in modern technology, spearheading transformation across industries. Yet, despite its promise to revolutionize workflows and unlock unprecedented efficiency, most DevOps organizations face significant hurdles in adopting AI safely and effectively. Concerns about complexity, scalability, and governance hold many decision makers back.

Four months ago, Claude Code was announced and we were requesting invites to its "Research Preview." Now? We've gone from no Claude Code to simultaneously running four or five Claude agents, each working on different features in parallel. It sounds chaotic, but it's been a natural progression as we've learned to trust AI more and as the tools have dramatically improved.

In your role as a network administrator, maintaining smooth, uninterrupted system performance isn’t just a one-time task; it’s your daily mission. Whether you're managing hundreds of endpoints, virtual machines, or hybrid cloud environments, CPU monitoring is one of the most critical tools in your toolkit. Without it, diagnosing performance slowdowns, service lags, or outages becomes reactive guesswork.