Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
Learn to build and deploy using the Serverless framework. Find and fix errors in DynamoDB, Lambda, API Gateway, Kinesis, SQS etc.
Dashbird continuously monitors and analyses your serverless applications to ensure reliability, cost and performance optimisation and alignment with the Well Architected Framework.
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
Dashbird is a monitoring, debugging and intelligence platform designed to help serverless developers build, operate, improve, and scale their modern cloud applications on AWS environment securely and with ease.
Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.
Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that hundreds of dollars are saved every month.
Great onboarding: it takes just a couple of minutes to connect an AWS account to an organization in Dashbird. The UI is clean and gives a good overview of what is happening with the Lambdas and API Gateways in the account.
I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.
Dashbird provides an easier interface to monitor and debug problems with our Lambdas. Relevant logs are simple to find and view. Dashbird’s support has been good, and they take product suggestions with grace.
Great UI. Easy to navigate through CloudWatch logs. Simple setup.
Dashbird helped us refine the size of our Lambdas, resulting in significantly reduced costs. We have Dashbird alert us in seconds via email when any of our functions behaves abnormally. Their app immediately makes the cause and severity of errors obvious.
Today we are excited to announce scheduled searches – a new feature on Dashbird that allows you to track any log event across your stack, turn it into time-series metric and also configure alert notifications based on it.
Dashbird launches added observability for five new AWS services (ELB, SNS, RDS, OpenSearch, and HTTP API Gateway) to allow for a faster, more secure, and smoother serverless observability experience.
Here’s everything you need to know to get started with Dashbird – the complete solution for End-to-End Infrastructure observability, Real-time Error Tracking, and Well-Architected Insights.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
By increasing memory, your function runs faster and may end up saving you money!