Nowadays, microservice architecture is a pattern that helps to innovate quicker by enabling easier scalability, giving language flexibility, improving fault isolation, etc. Systems built this way also bring some downsides. Moving parts, concurrent invocations, and different retries policies can make operating and troubleshooting such systems challenging. Without proper tools, correlating logs with metrics may be difficult. To overcome these challenges, you need observability.

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.

Every Lambda function comes with 512MB of ephemeral storage in the shape of a /tmp directory. This storage space can be reused across multiple invocations for the same instance of a Lambda function. Each instance of a function has its own /tmp directory and data is not shared amongst different instances of a function.

StackState has always believed in the importance of open source and open standards, and we’ve demonstrated our commitment through ongoing support of open technologies. From the beginning, StackState supported StatsD and OpenMetrics. Even our agent is open source, designed to help organizations easily onboard our platform and to give them an extensible open way to observe their services. StackState is now proud to announce our next big open source step.

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.

Kubernetes provides a set of primitives to run resilient, distributed applications. It takes care of scaling and automatic failover for your application and it provides deployment patterns and APIs that allow you to automate resource management and provision new workloads.

Serverless Computing, or simply serverless, is a hot topic in the current software market. More and more companies are shifting their operations from traditional server-oriented architecture to faster, more modular serverless architecture. The “Big Three” cloud vendors (AWS, GCP, and Microsoft Azure) have shown immense interest in offering the best serverless experience possible. But what exactly is serverless? And how does it work if there is no server at all?

CloudFront Functions allow you to deploy serverless JavaScript functions to AWS' network of edge locations to be executed as close as possible to end-users. This article will get you started.

Since our latest update, Dashbird also gives you insights into HTTP API Gateway. Let’s look at the differences between REST vs. HTTP; HTTP API Gateway pricing, integrations and monitoring.