Operations | Monitoring | ITSM | DevOps | Cloud

Internal SLAs for Third-Party Vendors: Complete Guide

Managing third-party vendors effectively requires clear expectations and measurable standards. Internal SLAs for third-party vendors provide the framework to track vendor performance, ensure compliance, and maintain service quality across your entire vendor ecosystem. This guide covers everything you need to establish and manage vendor SLAs that protect your business interests while fostering productive vendor relationships.

ManageEngine named in the 2025 Gartner Magic Quadrant for AI Applications in ITSM

We're proud to announce that ManageEngine has been recognized in the 2025 Gartner Magic Quadrant for AI Applications in ITSM. This recognition comes after Gartner's comprehensive evaluation of our Completeness of Vision and Ability to Execute. We believe this recognition reflects our commitment to making AI-driven ITSM cost-effective, easy to implement, and scalable to meet modern enterprises' growing needs.

Why AIX Automation Starts with Better Monitoring: How Galileo Powers Smarter Action

If your automation can’t trust the data it’s acting on, it’s not automation. It’s a guess. That’s why AIX automation monitoring is the foundation for success. Many teams encounter this gap when trying to automate AIX operations. Red Hat Ansible Automation Platform (AAP) and Event-Driven Ansible (EDA) can absolutely streamline routine tasks, like expanding filesystems or tuning adapters. But every playbook still depends on one thing: accurate, real-time monitoring.
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Implementing Agentic AI: A Technical Overview of Architecture and Frameworks

As businesses strive for smarter, faster operations, Agentic AI redefines enterprise operations, introducing solutions for autonomous decision-making and tackling complex challenges with precision. Agentic AI introduces an intelligent, enterprise-focused approach to enhancing operational efficiency and adaptability, paving the way for innovation. Its ability to support operational scalability and streamline workflows positions it as a vital tool for modern IT ecosystems.

What does the EU Data Act mean for Observability?

The EU Data Act came into effect on January 12th, 2024 and most of its provisions apply from September 12th, 2025. The EU Data Act is designed to give individuals and businesses more control over the data they generate, ensuring fair access, use, and sharing across sectors. For any data generating platform that intends to operate in the European Union, this new legislation matters.

Track the performance of your HPC workloads with Datadog's AWS PCS integration

AWS Parallel Computing Service (AWS PCS) is a managed service that helps users run and scale their high performance computing (HPC) workloads. AWS PCS uses Slurm, an open source workload manager, for scheduling and orchestrating simulations, which enables users to build their scientific and engineering models in a familiar HPC environment.

Announcing Dynamic Service Insights in LogicMonitor Envision

If you’re in IT operations, you’ve likely faced the disconnect firsthand: your dashboards say everything’s green, but your business stakeholders are asking why the website is slow, the customer portal is timing out, or a regional service is underperforming. Your team is usually on top of issues, such as monitoring infrastructure health, resolving alerts, and keeping systems online. But the business isn’t looking at device uptime.

Redefining Resilient IT: Edwin AI, Service Intelligence, and What's Next for LogicMonitor

Downtime is more than an inconvenience these days, nor is it solely a problem for the ITOps team. Since every organization is a digital business, downtime can cost millions of dollars per hour, stall innovation, and erode customer trust. Yet most IT teams are still trapped in reactive mode, scrambling across fragmented tools and drowning in alert fatigue. That model no longer works. The future of IT is about foresight, not firefighting.

Future-Proofing Your Historian with a Time Series Database

As technology scales and data volumes accelerate, organizations face a pressing challenge: how can they modernize data infrastructure without putting daily operations at risk? Data historians, specialized databases that capture and store time-stamped machine and sensor data, have long been the foundation for reliability and compliance. However, they were not designed for the openness and advanced analytics that modern workloads demand.