Dashbird
Dashbird is an AWS Lambda monitoring and debugging platform that provides real-time metrics, alerts, distributed tracing and log management for serverless applications. It aims to increase developer productivity and reduce operational costs.
aws
lambda
monitoring
metrics
logging
tracing
Dashbird: Real-Time AWS Lambda Monitoring and Debuggings
Real-time metrics, alerts, distributed tracing, log management for serverless applications to increase developer productivity and reduce operational costs.
What is Dashbird?
Dashbird is a monitoring and debugging platform designed specifically for AWS Lambda and serverless applications. It provides real-time metrics, alerts, distributed tracing, and log management to help developers observe, troubleshoot and optimize their serverless workloads.
Key features of Dashbird include:
- Real-time Lambda metrics and alerts - Dashbird tracks invocation counts, durations, error rates, costs and more with 1-minute granularity. It can trigger alerts based on thresholds to notify about problems.
- Distributed tracing - Dashbird traces requests across Lambda functions, API Gateway, queues, databases and more. This helps understand how requests flow end-to-end.
- Log analysis - Dashbird aggregates Lambda log streams in real-time into a searchable interface to quickly find errors and debug issues.
- Cost optimizer - Dashbird analyzes Lambda usage and spending patterns to recommend optimizations for cost savings.
- Incident management - Dashbird captures errors, alerts and context to facilitate debugging and root cause analysis.
Overall, Dashbird aims to increase developer productivity by reducing monitoring blindspots and speeding up troubleshooting for serverless applications. By optimizing Lambda performance and costs, it helps organizations fully leverage the benefits of serverless architectures.
Dashbird Features
Features
- Real-time Lambda metrics and alerts
- Distributed tracing support
- Log search and analytics
- Serverless cost optimization
- Lambda performance insights
- Error tracking and debugging
Pricing
- Freemium
- Subscription-Based
Pros
Easy to set up and integrate
Good value for money
Very useful debugging capabilities
Helpful for optimizing Lambda performance
Good for monitoring Lambda in production
Cons
Can get expensive for larger serverless deployments
Lacks some advanced features of competitors
Tracing support could be better
Alerting needs more customization options
Official Links
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