Operations | Monitoring | ITSM | DevOps | Cloud

Your network is not a static entity. It is a living system that has been running for years, absorbing countless changes. While your infrastructure may appear healthy on the surface, a slow and silent saboteur is often at work, methodically undermining your infrastructure from within. This is not the work of a malicious actor. It’s the inevitable result of a process you may not even be tracking: configuration drift.

Engineering teams rely on forms for everything from approvals to checklists, yet the process usually lives outside engineering operations. Spreadsheets, one-off surveys, and external form builders capture inputs, but they create scattered data, slow follow-ups, and manual translation into actionable work. Datadog Forms enables teams to create and share interactive forms directly within Datadog.

Cloud outages like the recent ones at Cloudflare, Microsoft Azure, and AWS can have a significant impact on your business with downtime, lost revenue, and unhappy customers. They can also disrupt your team's ability to work effectively. To stay on top of such outages, your team needs to know about them in an easy and timely way. In this article, we will see how to integrate IncidentHub cloud outage alerts with Microsoft Teams.

Email servers can be added to blacklists without any visible warning. When this happens, emails stop reaching inboxes and businesses lose communication reliability. Email blacklist monitoring solves this problem by checking your IP addresses and domains against global blacklist databases. This article explains the monitoring process in a clear, simple, and structured way, so you understand how it protects your deliverability and reputation.

In today’s digital-first world, website uptime, speed, and security directly influence user experience and business success. Whether you’re managing an enterprise web application, a SaaS platform, or a multi-region eCommerce site, HTTP and HTTPS monitoring is non-negotiable. However, DevOps teams often face complex challenges—ranging from inconsistent server response times to SSL/TLS misconfigurations and broken transactions.

Today’s AI agents have grown increasingly sophisticated, moving into production environments and becoming integral parts of engineering workflows. But these agents can also be black boxes for engineers, which makes observability more critical than ever. Without proper monitoring, you’re often left feeling like you’re flying blind as you try to debug agent failures, understand performance bottlenecks, and track costs.

This month’s DataStream update brings meaningful improvements across pipeline management, MSSP workflows, and endpoint visibility. We’ve focused on giving security teams more control over how data moves through their environment, expanding coverage for both Windows and Linux, and strengthening governance for multi-tenant deployments. Let’s walk through what’s new.

In today’s digital financial landscape, transaction monitoring software has become essential for businesses and financial institutions aiming to prevent fraud, money laundering, and other illicit activities. A transaction monitoring tool automatically tracks and analyzes financial transactions in real time, using predefined rules, algorithms, and AI-driven analytics to detect suspicious behavior.

How To Build A Thoughtful Monitoring Strategy | Whitepaper by NiCE View & Download PDF.