Operations | Monitoring | ITSM | DevOps | Cloud

What Property Managers Get Wrong About Slip and Fall Prevention in New York City

It's easy to think that tossing down a few wet floor signs or grabbing a mop will keep slip and fall claims at bay. But honestly, a lot of property managers in New York City don't realize just how much the law expects: you need regular inspections, quick repairs, and-maybe most important-proof that you're actually doing these things. If you treat prevention as just a checklist or a mindless habit, not as a real legal responsibility, you're probably going to keep running into expensive claims and a battered reputation.

Essential KPIs for Software Development: Measure Success Effectively

In almost all industries, a standard set of KPIs helps to guide teams on whether they are doing the right things in the right ways, with the right outcomes. In software development, this has evolved significantly with industry-standard frameworks like DORA metrics (DevOps Research and Assessment), which have been validated across thousands of organizations worldwide. Some development frameworks, such as Agile, have some KPIs baked directly into them.

Top server monitoring tools for 2026: A comprehensive comparison guide

IT infrastructure is now hyper-distributed. We are in a scale-in-seconds era and that means, a typical IT landscape is spread across on-premises data centers, public clouds (AWS, Azure, GCP), containerized environments, and edge locations. With many components comes more points of failure. A single server outage can cascade into customer-facing incidents, SLA violations, and revenue loss measured in thousands per minute.

GitHub Outage Tracker: 5 Real-Time Monitoring Methods

When GitHub goes down, everything stops. Your developers can't push code. CI/CD pipelines hang indefinitely. Pull requests pile up. Deployments freeze. And if you're like most engineering teams, you find out about it when your Slack channel explodes with "Is GitHub down for everyone?" The average GitHub outage could cost teams 2-4 hours of developer productivity. For a 50-person engineering org, that's 100-200 hours of lost work — assuming you catch the outage immediately. Most teams don't.

Peeking Under the Hood with Claude Code

Claude is one of the go-to AI-native code editors for developers. Because it’s a simple chatbot interface housed inside a familiar CLI, it provides a pretty smooth path between traditional IDEs and agentic AI. But what’s actually happening behind the scenes when you ask it to write code, generate a test, or debug an issue? Who and what is it talking to behind the scenes? Can I prevent data leakage or do I need to add another layer to my tin foil hat?

Kubernetes v1.35: The Release That Tackles the Industry's $100 Billion Waste Problem

Kubernetes v1.35 dropped a couple of weeks ago, and while the headlines focus on gang scheduling and in-place resizing going GA, there’s a bigger story here that every platform team needs to understand: Kubernetes is finally acknowledging that cluster utilization is fundamentally broken. At Komodor, we work with hundreds of organizations running Kubernetes at scale.

7 Kubernetes Predictions for 2026 - AI Will Push SRE to its Limit

As AI workloads shift from training to massive-scale inference, SRE teams are about to feel even more pressure. GPU-heavy computing is breaking the assumptions today’s clusters were built on, while enterprises are beginning to trust autonomous operations and cost pressure is pushing consolidation across the cloud-infrastructure stack.

Ansible Vs. Terraform: What Are They And Which Is Best?

Choosing the right tool to manage your infrastructure can shape how fast your team moves and how reliable your systems become. Two names appear in almost every conversation: Ansible and Terraform. Both help you define, manage, and scale your environment. But they solve different problems and work in very different ways. One focuses on configuration. The other focuses on provisioning. Both are powerful. Both are widely used. And both can work together in the right stack.

Application Monitoring 101: How to Correlate Average Response Time With Other Metrics

Average response time has become the default metric on many dashboards. It's easy to compute, easy to explain, and provides a single number to track over time. Of all the metrics available in application monitoring, this one feels closest to the actual user experience. But this simplicity can create a trap if you treat the average as a complete picture of system health. In fact, it’s really the starting point for a deeper investigation.