Thundra Monitoring Performance
Thundra is a cloud-native application observability and security platform for modern applications built on serverless and containers. Thundra provides end-to-end visibility into the applications, services, and resources in serverless, containers, and traditional environments.
- Since:2018
- Discord:@w3qjVbpfwy
- Dockerhub:thundra-agent
- Docs:docs.thundra.io
- Github Topic:thundra
- Official:www.thundra.io
- Reddit:r/Thundra
- Twitter:@thundraio
#What is Thundra?
Thundra is a cloud-native application performance monitoring (APM) solution designed to help software teams to monitor, troubleshoot and optimize their serverless and container-based applications. It allows teams to get deep insights into their cloud environments, enabling them to identify performance bottlenecks, optimize resource usage, and troubleshoot issues.
#Thundra Key Features
Most recognizable Thundra features include:
- Automated instrumentation: Thundra offers automated instrumentation for AWS Lambda, making it easy to get started with monitoring serverless applications without the need for manual code changes.
- Distributed tracing: Thundra offers distributed tracing capabilities, allowing teams to trace transactions across their entire stack, including AWS Lambda, API Gateway, and DynamoDB.
- Debugging: Thundra provides an interactive debugging experience, allowing developers to troubleshoot issues in real-time.
#Thundra Use-Cases
Some of the Thundra use-cases are:
- Monitoring serverless applications: Thundra is designed for monitoring and optimizing serverless applications on AWS Lambda.
- Troubleshooting: Thundra provides detailed insights into application performance, enabling teams to quickly identify and troubleshoot issues.
- Optimization: Thundra allows teams to optimize their cloud resources and reduce costs by identifying underutilized resources.
#Thundra Summary
Thundra is a cloud-native APM solution that offers automated instrumentation, distributed tracing, and interactive debugging capabilities for monitoring and optimizing serverless and container-based applications.