Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Autonomously monitor for impactful degradations with Bits Detection

Monitoring is built around the system a team understands at a point in time. Engineers add endpoints, move dependencies, and change user flows every day. Over time, that creates coverage drift as monitors keep reflecting the system as it used to behave, while changing paths introduce failure modes that teams didn’t yet know to watch for. Bits Detection automatically creates, tunes, and maintains monitors for your services.

Get reliable answers to business questions with Bits Data Analysis

Teams are wiring AI coding agents straight to their warehouse over MCP and asking things like “What was our revenue by channel in Q2?” The agent finds a revenue table, runs a query, and returns a number in seconds, with no waiting on the data team. While the answer initially looks right, the problem is that the number is often wrong.

If You Are Building a Startup from a Vibe-Coded App, Don't Skip This #devops #programming #ai

Everyone is vibe coding products right now. But most applications are missing one crucial thing: Observability. In this video, I talk about: You can literally start this weekend: If you are turning your vibe-coded app into a real startup, observability should not be an afterthought.

What is DNS TTL and How to Choose the Right Value

DNS TTL is one of those settings nobody thinks about until it bites them. Then they think about it a lot. This guide explains what DNS TTL is, how it works in plain language, and how to pick the right value for your records. By the end you will know what to set, when to change it, and why it matters when you migrate to a new server.

The AI Bottleneck: Why Your Modern Models Are Choking on Legacy and Streaming Data Architecture

Enterprise AI struggles not from inadequate models, but from fragmented data architecture. Critical business data remains trapped in legacy systems or lost in streaming complexity. Success requires bridging the gap between modern intelligence layers and underlying systems of record.

Scout Monitoring Now Supports Node.js: Express, NestJS, Prisma, and More

We have been getting the same request from teams for a while now: “We use Scout for our Rails app. Can we get the same thing for our Node services?” Today the answer is yes. Scout Monitoring now supports Node.js. If your team runs Express or NestJS in production, you get the same errors-and-traces experience that Ruby, Python, PHP, and Elixir teams have had. Let’s walk through what that means in practice.

Automatically discover and remediate root causes with Grafana Assistant Investigations

You can use Grafana Assistant Investigations to automatically discover incidents and help find root causes—and this AI-powered Grafana Cloud feature recently got a major upgrade to give you even more confidence in its findings. You can read more about the behind-the-scenes effort in our new engineering blog Unprompted, where we get into harness engineering, context compaction, benchmarking, and keeping agents alive and working well in long-running sessions.

Best MSP Software in 2026: How to Choose the Right Platform

MSPs already have plenty of tools. The harder problem is getting a clear read on what’s happening across each customer environment, which alerts point to the same issue, and where engineers should start. Choosing the right MSP software is really about choosing the right operating layer for service delivery. MSPs are supporting more customers, more environments, and more alerts, but adding another tool doesn’t always make the work easier.

Deleting Em-Dashes : REALITY BYTES AI WORKPLACE SPECIAL ft. HR Leader Gabi Tofani

In this Reality Bytes special, Tom and Oriana welcome Nexthink’s Head of Global Talent Success, Gabi Tofani, to explore how AI is reshaping workplace culture, learning, leadership, and employee experience. From measuring AI adoption and building curiosity-driven cultures to the risks of “AI slop,” homogenized thinking, and performance reviews written by bots (for bots), the conversation examines what organizations might gain (and lose) as AI becomes embedded in daily work.