Performance | Datadog

Announcing Support for AWS Lambda Functions running on AWS Graviton2 processors

Learn how Datadog can help you monitor the performance of AWS Lambda functions on Graviton2—and determine ...

How We Minimized the Overhead of Kubernetes in our Job System

Solving performance problems when moving an application to Kubernetes

Using Datadog APM to improve the performance of Homebrew

Using Datadog to find performance bottlenecks, and contrasting tentative solutions using performance ...

The Meltdown/Spectre saga: The impact across millions of cores

Data from millions of cores monitored by Datadog shows widespread impacts of the security patches.

Protobuf parsing in Python

Recently we extended the Datadog Agent to support extracting additional metrics from Kubernetes using the ...

Announcing next-generation APM

To troubleshoot modern applications, you need to understand both the code and the infrastructure

How to monitor Elasticsearch performance

In this post, we'll cover how Elasticsearch works, and explore the key performance metrics that you should ...

How to monitor Hadoop metrics

Learn how to track Hadoop performance metrics.

Top 5 ways to improve your AWS EC2 performance

Learn about the five most common EC2 performance issues, why they occur, how to detect them, and best ...

How Connectifier unfroze MongoDB with Datadog

Learn how Connectifier uses Datadog to monitor MongoDB performance metrics and keep their infrastructure ...

How to monitor Cassandra performance metrics

Learn to monitor Cassandra performance metrics including request throughput, latency, disk usage, and more for ...

Top ELB health and performance metrics

ELB performance is critical to any scalable infrastructure as the first gateway between users and your ...