Operations | Monitoring | ITSM | DevOps | Cloud

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.

(Almost) everyone is using generative AI, and just as many aren’t seeing any benefits. Research firm Gartner calls it the “gen AI paradox” — nearly 80% of companies say they’ve invested in generative solutions, and the same number report no benefits to their bottom line. What’s more, 90% of projects are stuck in pilot mode; ready to take off, but just can’t get up to speed.

FinOps thrives on clarity, and clarity is built on metrics. Metrics give engineering and finance a shared language to understand costs, evaluate trade-offs, and guide innovation. The most impactful metrics go beyond “how much are we spending?” and help us answer: When we measure these things, we stretch beyond tracking progress to fueling it.

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 high-stakes Single Family Rental (SFR) and REIT markets, operational drag is becoming a significant yield drag. For senior leaders managing portfolios of thousands of units, the inability to harmonize data across the asset lifecycle, from Acquisition and Rehab to Leasing and Disposition, directly erodes Net Operating Income (NOI).

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.

Modern engineering teams are shipping more services, managing more complex infrastructure, and moving faster than ever. But this velocity often comes at a cost to the developer experience. Engineers are frequently bogged down by infrastructure complexity, inconsistent tooling, and a lack of clear standards, which leads to cognitive overload and slower cycle times.