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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

How to bridge speed and quality in experiments through unified data

Metrics are fundamental to experimentation for two reasons: They set the basis for evaluating ideas and interventions, and they can suggest where to look next. As such, many teams collect a wide variety of metrics, from application performance data to revenue trends. However, doing so often means manually knitting together data from multiple sources and formats. Even then, data silos can make it challenging to understand the full impact of experimental changes. In this post, we’ll explore.

Two Factors, Double Security?

“Please enter the code we just sent you.” – most people have seen this message when logging into an online service. Two-Factor Authentication (2FA) is no longer reserved for banks or enterprises. It’s now common in email, social media, and shopping accounts. The idea is simple: in addition to a password, you need a second factor so that attackers can’t break in with just one piece of information. But what methods are actually used – and how secure are they really?

Datadog Cloud Cost Management: Make cost a key metric for engineers

See how Datadog Cloud Cost Management puts cost and efficiency KPIs directly in front of engineers in their daily workflows. In this short demo, you’ll learn how to: Datadog unifies cost, performance, and business metrics in one platform, so FinOps, engineering, and finance teams can make cost-aware decisions together.

5 Log Management Best Practices for Your Organization

At Logz.io, we speak with hundreds of companies every month. One thing is consistent across the board: everyone ships logs. But the challenges are equally common: What are the best practices for logging? How do we reduce noise? How should we architect our logs to make them truly useful? The reality is that logs are noisy for everyone. The best time to standardize your logging practices is when you write your first line of code—though that rarely happens. The second-best time is now.
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Hidden Cost of Siloed Monitoring Tools

In today's complex IT environments, organizations often rely on a patchwork of specialized monitoring tools. One platform might monitor databases, another cloud workloads, a third enterprise applications, and yet another the infrastructure itself. While each tool addresses a specific need, this fragmented approach introduces hidden costs that can undermine operational efficiency, inflate budgets, and slow response times when critical incidents occur.

AI Agent for Incident Resolution: Combining Intelligence with Autonomous Actions

Incident management is a high-stakes function. IT operations teams and SRE teams may play different roles, but when a priority incident surfaces, it is often all-hands-on-deck to ensure it is resolved in minimal time. That’s because of the high impact of incidents-if not resolved in time, they can cascade and impact other IT systems, leading to downtime, business disruptions, monetary losses, and impacting brand value, compliance, and regulatory rules.