Operations | Monitoring | ITSM | DevOps | Cloud

Website Maintenance Plans: Checklist, Tools, ROI & Cost Breakdown (2026)

While most businesses invest heavily in website creation, many overlook the ongoing website maintenance plans needed to keep their digital presence performing at its peak. Data from recent studies reveals a harsh truth: 88% of online consumers won't return to a website after encountering technical issues or outdated information.

Incident Management in 2026: Best Practices, Tools Guide & More

When systems go down, every minute counts. You need more than just quick fixes. You need a solid system to spot problems early, take action fast, and learn from each incident to keep your users happy. That's what incident management is. In this guide, we'll walk through everything you need to know about incident management, from basic concepts to advanced strategies used by top DevOps teams.

The Benefits of Historical Data for Network Monitoring

Your phone rings. A user is complaining that “the network was slow" or "had issues around 3pm." You run a speed test. Green across the board. No active alerts. Everything looks fine. So what do you tell them? If you don't have a continuous, time-stamped record of what your network was doing at 3pm, you can't tell them anything, not with confidence. You're stuck choosing between "I didn't see anything" and "I'll keep an eye on it," neither of which fixes the problem or satisfies the user.

Solving the Ticket Noise Problem: What We Learned from Our ServiceNow Webinar

On March 18th, we hosted a session focused on a challenge that continues to undermine even the most mature IT operations teams: ticket noise. It’s easy to dismiss noise as just “too many alerts”. But as we explored in the webinar, the real issue runs deeper. Ticket noise is a symptom of something more fundamental — a lack of correlation, context, and shared visibility across the stack.

When IT instability becomes a patient safety risk in healthcare

Inside hospitals and health systems, the performance of clinical technology underpins nearly every care workflow and directly influences the timeliness and quality of patient care. Electronic health records sit at the center of admissions, discharge, imaging, lab coordination, and prescribing, so even minor technology friction can become a patient safety and operational risk. At scale, reliability becomes a prerequisite for consistent care.

Enhancing our API for better agentic consumption

AI coding agents like Claude Code and Codex are becoming a real part of developer workflows. They don't just write code, they call APIs, interpret responses, and take action based on what they find. That means the quality of your API responses directly affects how useful an agent can be. We've shipped a series of improvements to the Oh Dear API with this in mind. Every change helps humans too, but we specifically optimized for how agents consume and reason about data.

Real-Time Visibility, Orchestrated Deployments, and More

The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options. Here’s what’s new.

Analyzing round trip query latency

It’s an all too common scenario: You get paged for some queries timing out, but when you investigate, the database performance looks unchanged. Something must have changed, though. If the database doesn’t look overloaded, where are these timeouts coming from? The answer often lies outside the database itself. Round trip query latency includes every hop between your application and the database, including connection pools, load balancers, and proxies.

The Observability Gap: Why Monitoring Data Should Drive Tests

Most teams already know a lot about production. They have dashboards. They have traces. They have alerts. They have enough telemetry to explain what happened after an incident and enough graphs to argue about it for the rest of the week. Then they go to test a change and start from scratch. The integration tests hit a hand-written mock that returns {"status": "ok"}. The load tests replay a CSV somebody exported months ago. Staging is close enough to production right up until it matters.