Operations | Monitoring | ITSM | DevOps | Cloud

site24x7

Cloud observability in focus: How Site24x7 strengthened cloud monitoring in 2025

Dec 17, 2025 By Elizebeth JB In Site24x7
Cloud monitoring became more important as enterprises scaled distributed systems, multi-region deployments, and hybrid environments. Teams needed better cloud performance insights, clearer resource usage visibility, and stronger automation to prevent outages and control costs. This year, Site24x7 delivered a rich set of cloud monitoring updates across AWS, Azure, GCP, and OCI, helping teams stay ahead of issues and optimize their cloud footprint.
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isdown

Top SaaS Vendors DevOps Teams Should Monitor in 2025

Dec 17, 2025 By Nuno Tomas In isDown
Modern applications rely on dozens of third-party services to function properly. When these services fail, your application fails too. DevOps teams need to identify and monitor the top SaaS vendors that could impact their infrastructure and user experience. This guide covers the essential SaaS vendors DevOps teams should monitor, organized by category and criticality. We'll explore why each vendor matters and what specific aspects require monitoring.
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Cycle

Setting Up a Windows VM on Cycle

Dec 17, 2025 By Alexander Mattoni In Cycle
In the last few months we've made some changes to VMs that finally allow installing and running Windows on them. MS Paint on Cycle is finally a reality. To make Windows VMs work, we had to add a few things to the platform to support it. As always with Windows, there are some quirks, gotchas, and pain points. But in the guide below, I'll show you how we solved these issues in our recent platform update, and how to install and run a Windows Server 2025 VM on Cycle with full network connectivity.
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The Business Impact of AIOps: Faster, Smarter, Stronger!

Dec 17, 2025 By Infraon In Infraon
IT performance doesn’t stay in the IT department — it affects the entire business. Slow systems, higher operational costs, and delayed responses don’t just frustrate teams… they directly impact revenue and customer experience. AIOps changes that by transforming raw operational data into real-time business intelligence. With predictive analytics and automated insights, IT teams can detect risks early, optimize resources, improve service reliability, and reduce downtime. In this video, we explain how AIOps creates business value by helping organizations.
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[Workshop] Building and Monitoring AI Agents and MCP servers

Dec 17, 2025 By Sentry In Sentry
​See how Agent Monitoring gives you a better look at all things model usage, call duration, prompting, and more ​Go under the hood with MCP Monitoring - and learn how to debug client connection issues, tool call performance, transports, and all things MCP ​When things start breaking, use Seer, Sentry's AI Debugging Agent to troubleshoot those vague issues that are crashing and get help from a team of robots using Sentry’s AI PR Review.
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grafana

The year in AI at Grafana Labs

Dec 17, 2025 By Trevor Jones In Grafana
2025 was the year we at Grafana Labs went all-in on AI—and boy, what a year it was. Not only did we establish and start to execute our overarching strategy (build actually useful AI), we also took one of our most exciting new features (Grafana Assistant) from idea to general availability in just nine months! Yes, there's no shortage of articles singing the praises of AI these days, but let's dispense with the hyperbole and focus on some actually useful content.
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grafana

Instrumentation Hub: a guided, scalable way to roll out observability coverage without losing control

Dec 17, 2025 By Paschalis Tsilias In Grafana
Getting started with observability in a modern, fast-moving environment is harder than it should be. Open-standards-based observability promises flexibility and vendor neutrality, but in practice it often introduces significant complexity and delays meaningful coverage by months or even years. Each layer of the stack requires its own instrumentation approach, and every technology, runtime, and library version comes with unique setup steps, tradeoffs, and rough edges.
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