Operations | Monitoring | ITSM | DevOps | Cloud

In our previous posts, we explored why robust IT monitoring governance is no longer a luxury but a strategic imperative. We highlighted how a disciplined framework prevents blind spots, reduces risk, and ensures the reliability and scalability of your critical business applications. But how do you translate these principles into practical, actionable governance within your IT environment?

Logstash has been a workhorse in data processing pipelines for years, but it was not designed with today’s security operations in mind. Security teams now deal with massive telemetry volumes, rising SIEM costs, and diverse log formats that require constant normalization. In this environment, Logstash shows its age: manual configuration, outdated parsing, and scalability bottlenecks introduce fragility instead of efficiency.

The past month we dedicated time and resources into optimising the speed and experience of our public website, our dashboard and our behind-the-scenes uptime checks that we perform. Overall, our website and dashboard feels about 2x to 3x faster. The biggest gains are for our users that have > 100 sites on their dashboard, they'll get a noticeably faster loading time. For those biggest users, the dashboard is quite litterally 10x faster.

Manually deploying and managing OpenTelemetry components in a Kubernetes environment can be a complex and time-consuming task. It involves creating various Kubernetes resources, setting up configurations, and ensuring the components are properly integrated with the applications.

Enjoy improved control, clarity, and communication using the Site24x7 app on iOS 26. This update blends Apple's dynamic liquid glass design language with fast, secure, on-device AI summaries that help you observe your IT stack instantly and act decisively, from anywhere.

LangChain applications fail differently than traditional web apps. A single user request can trigger 15+ LLM calls, cost $5 in tokens, and fail silently without throwing errors. One team discovered a $12,000 OpenAI bill caused by a recursive chain with no monitoring. This guide shows how to implement observability for LangChain applications, giving you complete visibility into performance, costs, and errors before they impact your users or budget.

You’ve built something, it’s live, and users are starting to show up. Maybe you programmed it from scratch, used a tool, or vibe-coded it into existence. No matter how it came to be, the fact that you’ve got users is great! But here’s a question every new developer must eventually ask: how do I know when my site is actually failing? ‍ The thing is, these failures aren’t always obvious.

The enterprise is standing at the edge of a seismic shift: an AI revolution. In the next five years, the way work gets done will be fundamentally reshaped as workflows once handled by humans are increasingly replaced or enhanced by artificial intelligence. But here’s the reality: success won’t come from simply handing out Copilot or GPT licenses and hoping employees figure it out.

Session replay vendors love talking about features and pricing, but rarely publish the technical specs that matter most to developers. We analyzed the actual JavaScript bundles and their performance impacts across five major platforms. You know what's wild? Bundle sizes range from 36KB to over 550KB gzipped. That's the difference between imperceptible impact and noticeable slowdown for your users.