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Lumigo

Comparing Amazon ECS launch types: EC2 vs. Fargate

Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that enables users to easily run, manage and scale containers on AWS. With ECS, you can deploy containers either on a cluster of Amazon EC2 instances or on AWS Fargate, a serverless computing engine for containers. In this article, we’ll look at how these two launch types compare and explore how to start using them.

How Lumigo helps StartingFinance run 100% serverless with 100% confidence

StartingFinance supports a community of 70,000 with a platform that provides time-critical financial and investment information. Running 100% serverless, StartingFinance relies on Lumigo to ensure high performing apps and has helped them to reduce error rate, down time, and improve their time to resolution. Make sure to subscribe so you don't miss out on any new livestreams and observability content!

Zero-Friction AWS Lambda Instrumentation with external extensions

If you’ve been in the software business for some time, you’ve probably noticed that creating software isn’t only about adding features. There are usually many different tasks involved. You have to test your system, fix bugs, and ensure it keeps working over its lifetime.

Quick Bytes - Getting started with Lumigo

Lumigo is a monitoring and observability platform designed to let development and DevOps teams navigate through the most complex serverless and containerized environments. Getting started is simple with the onboarding wizard. Follow the steps below to connect your environment in just a few minutes. Make sure to subscribe so you don't miss out on any new livestreams and observability content! With one-click distributed tracing, Lumigo lets developers effortlessly find and fix issues in serverless and containerized environments

The Hidden Costs of Serverless Observability

The growing popularity of serverless architectures has led to an increased need for solutions to the modern challenges of microservice observability—one of the most critical components for running high-performing, secure, and resilient serverless applications. Observability solutions have to break through the complexity of serverless systems, and with the right stack, observability enables not only fast and easy debugging of applications, but drives optimization and cost efficiency.

Serverless roundup at AWS re:Invent 2022

AWS re:Invent was back and BIG last week in Las Vegas. Approximately 50,000 AWS customers and partners got together in Las Vegas to learn, talk shop, and maybe attend a couple of parties here and there. Not only did Lumigo have a booth, but our own Saar Tochner, R&D Team Lead and AWS Community Builder gave a well-received talk on Lambda extensions.

Production testing: smoke tests with Cypress, CircleCI, and AWS

“Testing your production environment” refers to the practice of running tests on production servers, using actual data from real users. Production testing doesn’t replace other methods like unit or integration testing. Instead, it extends them. Smoke testing is one approach that Lumigo has implemented to test our own production environments.

Cleaning up your microservice resources

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.

What's in an instrumentation? An SQS and Python study

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.