We have compiled this key feature comparison list between AWS Cloudwatch vs Dashbird to help you decide on the most efficient tool for your specific needs.
Find and fix errors and anomalies in DynamoDB and learn about the best practice rules.
Error and anomaly detection for AWS Step functions.
Monitor and analyze AWS Kinesis streams.
Monitor SQS queues, identify bottlenecks and issues and pre-empt problems automatically.
Incident detection, optimization and best practice insights for API Gateway.
Catch errors and inefficiencies in Lambda and learn the best practice rules for AWS Lambda
What our customers say
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
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Here’s how I get my Lambda functions in line to behave their best in production environments.
We are pleased to announce that Dashbird has successfully completed its SOC 2 Type 2 audit to provide additional security assurance to our clients.
In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases. We’ll finish up with a fun computer-vision demo extracting text from images stored in an S3 data lake.
Monitoring helps you identify any performance issues, and it can also send you alerts and notify you of anything you might need to know.