Dashbird.io Website Review

easier procurement and up to 36 month commitments with discounts. learn more here.. failure detection, an*lytics and visibility for aws lambda based applications. monitoring performance, cost and activity tracking error tracking instant failure detection over all functions dashbird integrates closely with aws to bring visibility into serverless applications. by mapping applications resources, importing cloudwatch logs and integrating with aws x-ray it's able to provide all pillars of observability with no performance overhead or code visibility into each application layerdashbird provides all relevant account-, service- and function-level metrics. this, enables you to an*lyse and optimise performance, cost and resource usage across the board. failure detection and alertingdashbird recognises all lambda specific failures like timeouts, configuration errors and memory outages. it also has an eye for all possible exceptions and runtime errors. it integrates with slack or e-mail so you won't have to change your debugging and troubleshootingdashbird structures logs to make them easily navigable. it also provides full text search and live-tailing logs from cloudwatch and fetches execution profiles from x-ray. execution profileconnect invocations with execution profiles from aws x-ray and see how long it took to execute any api call or other action all application layers visualised so that you can build, improve and optimise with confidence. dashbird detects all possible lambda failures and alerts you on slack or e-mail. by grouping similar errors, exposing stacktraces and letting you search through large amounts of data, dashbird is a handy debugging dashbird is seamlessly integrated with aws x-ray. just click on a invocation and see where your time went!. our small team acts big with the help of serverless and noops. our team is small but our application is large. to balance this constraint, we have harnessed the power of managed services and an event-driven architecture to focus engineering cycles on core business logic.