Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Application Performance Monitoring and related technologies.

Observability vs APM: What's the Real Difference?

Remember when monitoring your apps meant checking if they were up or down? Yeah, those days are long gone. As systems have gotten more complex—microservices talking to other microservices, containers spinning up and down, serverless functions doing their thing—the approach to understanding system health has had to level up too. APM tools have been the bread and butter for DevOps teams for years, but now everyone's talking about observability.

Flexible Log Management at Scale for Government

As government agencies scale their IT modernization initiatives and deepen their focus on security, managing and maximizing the value of growing log volumes becomes more challenging. During this webinar, Datadog experts examined how to collect, process, and store large machine-generated data sets, transforming them from noise into actionable intelligence.

How to Use Prometheus for APM

Monitoring applications shouldn’t be a guessing game. But too often, DevOps engineers end up buried under a pile of metrics that don’t help when things go wrong. That’s where Prometheus APM comes in. It offers a straightforward way to make sense of your systems—especially when you're working with modern, distributed setups like microservices.

VDI vs VPN: Which Remote Access Solution is Best for Your Business?

The shift toward remote work has made reliable and secure access to company resources more important than ever. As organizations explore different solutions to address these needs, two popular technologies stand out: Virtual Desktop Infrastructure and Virtual Private Networks, or VDI and VPN. Both offer distinct benefits for connecting employees to critical systems, but the differences between them can significantly impact your business operations.

Monitoring SaaS application health: How APM ensures uptime and performance

Software as a Service (SaaS) applications are the driving force behind modern digital enterprises, enabling seamless business operations across industries like finance, marketing, retail, and IT. From CRM platforms and e-commerce solutions to project management tools and cloud storage services, these applications offer businesses the agility and scalability they need to thrive.
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Top 10 .NET exceptions (part two)

In Part 1, we walked through the top 5 most common.NET exceptions-breaking down what triggers them and how to fix them. Now, we're rounding out the list with five more exceptions every.NET developer is bound to encounter at some point: These exceptions can stem from database issues, memory mismanagement, and logic errors that can bring your applications to a halt. In this article, we'll break down each one, explain when and why they occur, and share practical strategies to fix them so you can keep your code running smoothly.

Spotlight on Reference Tables Add Custom Metadata in Datadog! #Datadog #TMiDD #TechTips

This month we’re putting the spotlight on Reference Tables, which is now generally available and enables teams to add custom metadata to their existing Datadog telemetry. Check out the link in our bio to watch the new episode of This Month in Datadog.

This Month in Datadog: Reference Tables is generally available, Attacker Clustering, and more

Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog.

Finding UX Friction (...Before It Becomes a Problem)

Make it smooth. Reduce friction. Keep users moving. That’s solid advice. No one enjoys filling out a form with 10 unnecessary fields or dealing with a checkout process that feels like a maze. But you can’t fix friction if you don’t know where it’s happening. Big companies like Amazon, Netflix, and Airbnb don’t just guess where users are struggling. They track the right UX metrics, run experiments, and fine-tune their products constantly.