Operations | Monitoring | ITSM | DevOps | Cloud

ManageEngine CloudSpend tutorial: Cost allocation report for AWS, Azure, and GCP

Learn how to use the Cost Allocation report in ManageEngine CloudSpend to accurately split, track, and attribute your multi-cloud spend across AWS, Azure, and GCP. This step-by-step tutorial shows you how to create a cost allocation, choose accounts, apply labels, configure allocation levels, and read the hierarchical allocation report by cloud, account, and region. Cost allocation is the foundation of FinOps. It tells you exactly which teams, projects, and cost centers are driving your cloud bill so you can charge back, budget, and optimize with confidence.

Selector Named as a Representative Vendor in the 2026 Gartner Market Guide for Agentic NetOps Software

Network teams have never been short on expertise. What they are short on is time. As enterprise environments stretch across on-premises infrastructure, cloud, and service-provider domains, the work of investigating issues, validating changes, and coordinating a response across tools and teams has outrun what human-driven operations can sustain.

How to Know If Your MSP is Ready for Network Monitoring Tools

Network monitoring is a cornerstone of running a profitable MSP. If you don’t have network visibility, you’re constantly on the back foot and reacting to client complaints. That’s why MSPs of all sizes typically implement some level of network monitoring. However, what a good set of network monitoring tools looks like for one organization won’t necessarily work for another.

Cortex Scorecards + DRIVE: measure engineering org health, not just output

Most engineering metrics track individual output. DRIVE measures the health of the system as a whole. In this Feature Friday, Director of Customer Education and Delivery Taylor Schmidt walks through Cortex's DRIVE scorecard and dashboard, a framework covering five pillars: delivery, reliability, initiatives, vigilance, and efficiency.

Unified Logs, Traces, and Errors: Why One Tool Beats Three

Last updated: July 2026 Your Rails app throws a 500. You open Sentry and find the exception. The stack trace points to a controller action, but it does not tell you why the database call failed. You switch to Datadog and search for the request trace. The trace shows a 3-second query, but you do not know what the application was logging at that moment. You open your log aggregator, paste in the request ID, and scroll through output until you find the slow query log line that explains the lock contention.

Why AI agents need a job description | The future of agentic AI in IT

An AI agent is only as useful as the job you can safely hand it. In this Zero Ticket Minute, Ian Coppock, Resolve Customer & Partner Marketing Manager, breaks down why enterprise AI is moving toward purpose-built agents with defined roles, scoped permissions, and real guardrails. That is the foundation for autonomous IT operations and Zero Ticket IT. Subscribe for weekly insights on AI, IT automation, and where enterprise operations are heading.

How Agentic AIOps & Autonomous IT Are Revolutionizing IT Operations | LogicMonitor + IBM

Discover how LogicMonitor and IBM, alongside Edwin AI, are transforming modern IT operations. In this panel discussion, Garth Fort (Chief Product Officer at LogicMonitor) and industry experts break down how businesses are moving past basic observability to embrace self-healing automation and autonomous IT across complex hybrid environments.

Upgrade Your AWS Deploy Orb to Get Deploy Markers

Upgrade to the latest version of your AWS deploy orb to get automatic registration of deploy markers. This will give you instant access to deployment timeline, auto-rollback, and version comparison when something breaks — for about five minutes of effort. It will also switch you to OIDC, so there are no long-lived keys to manage. It’s a single version bump. Here’s how.

How to Use Your Knowledge Base to Increase AI Chatbot Deflection

Ticket deflection is the metric IT leaders point to when they talk about AI chatbot ROI, and the knowledge base is the part of the equation that determines whether that number moves. A chatbot can run natural language processing well and still deflect almost nothing if the content behind it is thin, outdated, or scattered across articles that don't match how people actually ask questions.