Operations | Monitoring | ITSM | DevOps | Cloud

Over the past few years, AWS has made incremental improvements to Lambda’s cold start performance. Nowadays, cold starts are much less an issue for most functions, unless you’re using Java or.Net Core.

Managed services and serverless deployments have become increasingly popular tools in the software development process. This means that organizations are focusing less on infrastructure resources and more on the functionality and security of applications. Managed services—such as the applications like DynamoDB, Step Functions and API Gateway that are crucial to serverless architectures—come with associated costs.

At Lumigo, we keep improving the coverage and quality of our distributed tracing instrumentation to give you, through Lumigo’s transactions, the most accurate and intuitive representation of how your distributed system behaves. In this blog, we cover a recent development for the Amazon SQS instrumentation in Lumigo’s OpenTelemetry distro for Python, providing a seamless experience for a scenario that otherwise would result in confusing, broken transactions and lost insights.

Back in 2020, we covered the launch of Lambda Extensions and the subsequent release of the Lambda Logs API. These features aren’t designed for the average Lambda user. But they allow vendors to build better tools by giving them much-needed access to the Lambda execution environment.

Amazon CloudWatch monitors metrics of your Amazon Web Services (AWS) resources in real time and can trigger alarms when a metric goes above or below certain thresholds. Typically, Amazon CloudWatch sends out alarms by posting a message to an SNS (Amazon Simple Notification Service) topic, which distributes the message via several mediums, including email, SMS, and Lambda functions. Setting a CloudWatch alarm can be complex.

With serverless and containerized applications becoming a norm, workloads and integrations are spread across multiple cloud environments. As these apps become increasingly more distributed, monitoring also becomes more complicated with siloed and incomplete telemetry. This is where distributed tracing brings great value. It enables end-to-end visibility in your modern and complex application.