Operations | Monitoring | ITSM | DevOps | Cloud

March 2022

Monitor your hybrid mobile applications with Datadog

Hybrid mobile applications allow you to incorporate web-based content into your mobile offerings. By embedding webviews inside your iOS or Android app, you can repurpose existing code to build key mobile functionality, such as authentication processing or ad rendering. While hybrid apps can help streamline your development process, they can also make monitoring your system more complex.

Monitor your AWS Lambda functions' ephemeral storage usage

AWS Lambda is AWS’s solution for highly portable, serverless computing. With Lambda functions, you can deploy and run business logic code without managing the underlying servers. Today, AWS announced that Lambda customers can now provision up to 10 GB of ephemeral storage for each of their functions, making them well-suited for new, data-intensive workloads—including machine learning inference, large media file processing, financial analysis, and more.

Real-time distributed tracing for .NET Lambda functions

In 2020 we released distributed tracing for AWS Lambda functions written in Python, Node.js, and Ruby, providing you with health and performance insights across your serverless applications. Since then, we’ve expanded our support to additional Lambda runtimes such as Java and Go, and are pleased to announce that real-time distributed tracing is now also available for.NET Lambda functions.

How to manage log files using logrotate

Logs are records of system events and activities that provide valuable information used to support a wide range of administrative tasks—from analyzing application performance and debugging system errors to investigating security and compliance issues. Large-scale production environments emit enormous quantities of logs, which can make them more challenging to manage and introduces the risk of losing important data if underlying resources run out of space.

Datadog On Rust

Rust is a programming language that has been gaining popularity over the past few years, with its adopters claiming that it helps them write faster, memory efficient, and more reliable software. At Datadog many backend services are written in Go, but some teams have begun adopting Rust when building new services, especially when performance is critical.