Operations | Monitoring | ITSM | DevOps | Cloud

We’re proud to announce the availability of the fresh, new “internal API” to our users. This API is only accessible from within a running instance on the platform.

Properly monitoring the health and performance of Docker containers is an essential skill for solo developers and large teams alike. As your infrastructure grows in complexity, it’s important to streamline every facet of the performance of your apps/services. Plus, it’s essential that the tools you use to make those performance decisions work across teams, and allow for complex scaling architectures.

RoR (Ruby on Rails) is a server-side web application framework. To make it more secure, use HTTPS instead of HTTP.

You know what they say: successful deploys are all alike; every unsuccessful deploy is unsuccessful in its own way (ok, no one actually says that, except engineers who have read way too much Russian literature, ahem).

In Part 2 of this series, we looked at how Amazon’s built-in monitoring services can help you get insights into all of your AWS Lambda functions. In this post, we’ll show you how to use Datadog to monitor all of the metrics emitted by Lambda, as well as function logs and performance data, to get a complete picture of your serverless applications. In this post, we will: Datadog integrates with AWS Lambda and other services such as Amazon API Gateway, S3, and DynamoDB.

AWS Lambda decouples the need to provision and maintain a runtime environment from running code, allowing developers to focus on applications rather than infrastructure. But, by abstracting away the underlying infrastructure of an application, serverless architectures introduce new challenges into monitoring and observability.