Operations | Monitoring | ITSM | DevOps | Cloud

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

How To Enable Real-Time Endpoint Visibility for L1 Support:

In today’s digital workplace, speed and precision in IT support can make or break the employee experience. Long resolution times, repetitive troubleshooting, and lack of visibility often frustrate both users and support teams. That’s where Nexthink comes in—bringing powerful capabilities like Amplify, Device View,and Assist to transform how Service Desk teams operate.

[Webinar] How AI monitoring can cut downtime twice as fast as traditional tools

Unlock the future of IT monitoring with Site24x7’s advanced AI capabilities! In this exclusive webinar, Varalakshmi, Site24x7 product specialist, guides you through Site24x7’s unified observability platform. Discover how Site24x7 uses AI to solve modern IT challenges like eliminating tool sprawl, reducing alert fatigue, and enabling faster, more accurate RCA. We also explore relatable customer scenarios for dynamic anomaly detection, predictive forecasting, automated event correlation, cloud cost forecasting, and AI-powered ITOps with Zia.

Monitor Temporal Workflows seamlessly: Introducing the Temporal Cloud integration for Grafana Cloud

Nishad Krishnan is a Software Engineer at Temporal Technologies, where he’s focused on observability and making the “unknown unknowns” slightly less unknown. At Temporal Technologies, our goal is to make it easier for developers to build and operate reliable, scalable applications without sacrificing productivity. Our platform, Temporal, helps ensure that code runs to completion once started, no matter how long it takes or what failures occur along the way.

Pastries with SREs: Enriched logs and filled donuts

In this episode of Pastries and SREs, we take a sweet dive into one of the most exciting evolutions in observability: enriched logs, also known as wide events. Gone are the days of toggling between tools and stitching together logs, metrics, and traces. Enriched logs consolidate the context, providing everything you need to understand and resolve issues in a single log entry. We explore.

How to Monitor Java Applications on Windows with SolarWinds Observability | APM Setup Guide

This video provides a step-by-step walkthrough for configuring monitoring for Java applications running on Windows using SolarWinds Observability. The demonstration covers the complete process—from adding a new service to instrumenting the application with the Java APM library and verifying connectivity. Topics covered in this video include: This guide is designed for developers, DevOps engineers, and system administrators who need to instrument Java applications on Windows for performance monitoring, distributed tracing, and full-stack observability.

Introducing Bits AI SRE, your AI on-call teammate

Bits AI SRE is your AI on-call teammate, built to autonomously investigate alerts and coordinate incident response. Integrated with Datadog, Slack, GitHub, Confluence, and more, Bits analyzes telemetry, reads documentation, and reviews recent deployments to determine the root cause of alerts—often before you’ve even opened your laptop. In fact, if you're using Datadog On-Call, you can view Bits’s findings right from your phone—so you’re always one step ahead, no matter where you are.

Mezmo + Catchpoint deliver observability SREs can rely on

For SREs juggling multiple services, third-party dependencies, and constant alerts, a critical service slowdown can quickly turn into chaos. APM Dashboards may show everything is fine, yet users are still experiencing problems. That gap—between application telemetry and real-world performance—can turn a five-minute fix into a two-hour war room. ‍

Build custom apps in seconds with conversational AI in App Builder

Datadog App Builder is a low-code tool for creating internal apps, making use of a drag-and-drop interface that allows engineering teams to troubleshoot issues, optimize operations, and enable self-service while connecting directly to their Datadog data and permissions. Now, with conversational AI, teams can go from idea to working prototype even faster.