Operations | Monitoring | ITSM | DevOps | Cloud

Web applications generate a wealth of performance data, but it’s challenging to know exactly which metrics are the most useful for monitoring your user experience. Focusing on irrelevant metrics wastes time and resources—but if you pare down the data you’re observing too much, you may miss critical insights.

As mobile gaming evolves, players have higher expectations for seamless experiences, real-time interactions, and cross-platform accessibility. Whether you’re developing games for iOS, Android, or another mobile operating system, maintaining and optimizing the performance of your game is critical for player retention. For instance, if a mobile game becomes laggy or begins to drop frames during gameplay, players will grow frustrated and abandon the game altogether.

Modern applications increasingly rely on specialized databases and platforms to power real-time analytics and support advanced AI/ML capabilities. These tools help teams accelerate development by consolidating workflows and processes, enabling faster and more efficient data operations. That’s why Datadog has launched three new data platform integrations with Supabase, DuckDB, and Milvus.

With thousands of logs generated every minute from your infrastructure, applications, services, and devices, retaining all of this data for active search and analysis can be cost-prohibitive. Because log volumes continue to grow rapidly as operations scale, it’s common for organizations to implement log management strategies and limit the amount that they store in order to minimize costs.

Google Cloud Run is a fully managed service that allows you to deploy, manage, and scale workloads on serverless containers. Because Cloud Run abstracts away infrastructure management and runs on complex, distributed backends, it can be difficult to troubleshoot. Datadog’s integrations with Google Cloud and Google Cloud Run address that challenge by collecting and visualizing key metrics and logs.

Most modern web applications are frequently updated to implement new features, execute marketing campaigns, or enhance their UX with new libraries or APIs. While this helps you better engage your users, constant UI updates make designing flexible, long-lasting tests challenging.

Today’s SRE and security operations center (SOC) teams often find themselves overwhelmed by the sheer volume and variety of logs generated by critical AWS services such as VPC Flow Logs, AWS WAF, and Amazon CloudFront. While these logs can be valuable for detecting and investigating security threats, as well as troubleshooting issues in your environment, managing them at scale can be challenging and costly.