Operations | Monitoring | ITSM | DevOps | Cloud

Analyze code performance in production with Datadog Continuous Profiler

To complement distributed tracing, runtime metrics, log analytics, Synthetic Monitoring, and Real User Monitoring, we’ve made another addition to the application developer’s toolkit to make troubleshooting performance issues even faster and simpler. Continuous Profiler is an always-on, production code profiler that enables you to analyze code-level performance across your entire environment, with minimal overhead.

Make sense of application issues with Datadog Error Tracking

When your applications raise errors, you need a way to make sense of them so you can set priorities, start troubleshooting, and gauge the success of your efforts. Errors can appear within the thousands of browser sessions and backend hosts running your software, making it difficult to find meaning within the noise. This is especially true of frontend errors, where seemingly endless permutations of browser version, location, and other environmental details can make it hard to spot trends.

Incorporate Datadog Synthetic tests into your CI/CD pipeline

Testing within the CI/CD pipeline, also known as shift-left testing, is a devops best practice that enables agile teams to continually assess the viability of new features at every stage of the development process. Running tests early and often makes it easier to catch issues before they impact your users, reduce technical debt, and foster efficient, cross-team collaboration.

Improve mobile user experience with Datadog Mobile Real User Monitoring

From gaming and social media to e-commerce and travel, mobile is reshaping the way businesses operate and engage with their customers. In an increasingly competitive market, ensuring your mobile applications stay highly performant and resilient will be critical in differentiating yourself from the crowd as well as avoiding uninstalls and poor app reviews.

Zero instrumentation serverless observability with AWS SAM and CDK integrations

As organizations build out their serverless footprint, they might find themselves managing hundreds or thousands of individual components (e.g., Amazon S3 buckets, Amazon DynamoDB tables, AWS SQS queues) for just a single application. At the same time, performance issues can crop up at any of these points, which means that having access to detailed observability data from your serverless functions is crucial for effective troubleshooting.

Monitor your Windows containers with Datadog

As cloud providers and infrastructure technologies grow their support for Windows containers, developers who use the Windows ecosystem are more and more able to enjoy the benefits of containerization. It’s quicker and easier than ever to modernize and deploy applications that use Windows-specific frameworks like .NET. Plus, Windows developers can use orchestration services like Kubernetes, Amazon ECS, or Docker Swarm to manage the complexity that containerized environments introduce.

Instrument your Python applications with Datadog and OpenTelemetry

If you are familiar with OpenTracing and OpenCensus, then you have probably already heard of the OpenTelemetry project. OpenTelemetry merges the OpenTracing and OpenCensus projects to provide a standard collection of APIs, libraries, and other tools to capture distributed request traces and metrics from applications and easily export them to third-party monitoring platforms.

Introducing the Datadog mobile app

When you’re on call and get paged at an inconvenient time, you need to be able to quickly determine the seriousness of the issue and act decisively to reduce system downtime. But pager notifications often don’t give you the information you need to investigate an issue from your mobile device, meaning that access to a laptop at all times is a must.

Stream logs to Datadog with Amazon Kinesis Data Firehose

Amazon Kinesis Data Firehose is a service for ingesting, processing, and loading data from large, distributed sources such as clickstreams into multiple consumers for storage and real-time analytics. AWS recently launched a new Kinesis feature that allows users to ingest AWS service logs from CloudWatch and stream them directly to a third-party service for further analysis.

Best practices for maintaining end-to-end tests

In Part 1, we looked at some best practices for getting started with creating effective test suites for critical application workflows. In this post, we’ll walk through best practices for making test suites easier to maintain over time, including: We’ll also show how Datadog can help you easily adhere to these best practices to keep test suites maintainable while ensuring a smooth troubleshooting experience for your team.