
Dashbird
Enhanced observability for AWS services
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About Dashbird
Dashbird is a serverless observability, debugging, and intelligence platform, built specifically for modern cloud services and designed to give organizations the confidence to build and operate complex serverless applications on AWS environment, all in one place. We provide enhanced monitoring, operations, and insights for AWS managed services like Lambda, API Gateway, Dynamo DB, SQS, ECS, Step Functions, and Kinesis.
Three Pillars of Dashbird
- Centralized observability and real-time data visualization
- Automated failure detection - no time spent on configuring and setting up alarms
- Actionable Well-Architected and best-practice insights with information on error messages and step-by-step guides on how to debug
Dashbird automatically imports data and discovers errors, anomalies, and cold starts for all of your cloud resources into one centralized, easy-to-understand dashboard. Using the platform, developers will have easy access to logs, metrics, traces, and configuration data.
Automated failure detection and alerting: The alarms listen to events from logs and metrics, catching code exceptions, slow API responses, failed database requests, and slow queues. Dashbird will alert you in seconds if something goes wrong, identifying the root-cause, so that you can jump straight in and fix it.
Well-Architected and best practices insights: Inspired by the best-practices of the AWS Well-Architected Framework, Dashbird features a rule engine that runs over 100 periodic checks against resource data, identifying failures proactively, spotting inefficiencies, security and compliance issues, and recommending customized insights and ways to improve serverless applications based on AWS Well-Architected best practices. This will help developers build and deploy reliable systems faster, lower or mitigate risk, make informed decisions, and learn AWS best-practices on the go.
- Quick and easy setup - no code instrumentation, no credit card required
- No security or performance implications
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