Resolve AWS Lambda function failures faster by monitoring invocation payloads

In a serverless application, AWS Lambda functions are typically invoked by JSON-formatted events from other AWS services—like API Gateway, S3, and DynamoDB—and respond with JSON-formatted payloads. Having visibility into these function request and response payloads can provide context around your function invocations and help you uncover the root causes of Lambda function failures.


Filter dashboards faster with template variable available values

Datadog’s template variables help you quickly scope your dashboards to specific contexts using tags, so you can visualize data from only the hosts, containers, services, or any other tagged objects you care about. This helps you build more flexible dashboards so you can access the insights you’re looking for as quickly as possible. We’re proud to announce new features for the template variable workflow that enable you to make highly dynamic, shareable dashboards more efficiently.


Debug iOS crashes efficiently with Datadog RUM

Unsurprisingly, application crashes due to fatal errors can be a major pain point for iOS users. Recent research shows that roughly 20 percent of mobile application uninstalls were due to crashes or other code errors. As a developer, it’s paramount to manage this potential churn by capturing comprehensive crash data in order to track, triage, and debug recurring issues in your iOS apps.


Announcing Support for AWS Lambda Functions running on AWS Graviton2 processors

AWS Graviton2 processors use the Arm architecture to provide high-efficiency, low-cost computing. AWS already offers the ability to provision EC2 instances powered by Graviton2, and Datadog is proud to partner with them for the launch of new Graviton2 compute resources for Lambda functions. In this post, we’ll discuss how Datadog can provide deep visibility into your Lambda functions across whichever platform you’re using.

This Month in Datadog: September 2021 (Episode 5)

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. This month we put the Spotlight on Session Replay, go around the Water Bowl with Decalog, introduce a bunch of new features, and give you more information about our flagship conference Dash..

Best practices for writing incident postmortems

After you have stopped an incident from affecting your customers, you need a more thorough investigation in order to prevent similar incidents in the future. Postmortems record the root causes of an incident and provide insights for making your systems more resilient. At the same time, postmortems can be difficult to produce, since they require deeper analysis and coordination between teammates who are busy with the next development cycle.


Compare and optimize your code with Datadog Profile Comparison

Code profilers offer detailed insight into the efficiency of application code by measuring things like the execution time and resource utilization of a service. Datadog’s always-on, low overhead Continuous Profiler provides snapshots of code performance for a service that are tagged with key metadata (e.g., region, service, release), so you can easily identify and optimize inefficient code.

Datadog on Gamedays

As engineers, as we scale our applications and infrastructure, we accept that failure can and will happen. But, how can we get ahead of those potential failures? Gamedays are events which aim to test the resilience of a system when facing abnormal and turbulent situations, checking whether our expectations on how it will fail (or not) are correct.

Best practices for getting started with Datadog Network Performance Monitoring

Whether running on a fully cloud-hosted environment, on-premise servers, or a hybrid solution, modern services and applications are heavily reliant on network and DNS performance. This makes comprehensive visibility into your network a key part of monitoring application health and performance. But as your applications grow in scale and complexity, gaining this visibility is challenging.


Monitor your Netlify sites with Datadog

Netlify is a Jamstack web development platform that lets customers build and deploy dynamic, highly performant web apps. By uniting popular JavaScript frameworks, developer tools, and APIs into streamlined workflows, Netlify helps teams rapidly spin up and ship common Jamstack use cases, including e-commerce stores, SaaS applications, and corporate sites. Netlify supports these deployments with an integrated CI/CD tool, global multi-cloud edge network, and serverless backend.