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Dashbird becomes SOC 2 compliant

We are pleased to announce that Dashbird has successfully completed its SOC 2 Type 2 audit to provide additional security assurance to our clients.

Can Data Lakes Accelerate Building ML Data Pipelines?

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.

Performance Monitoring for AWS Lambda

Monitoring helps you identify any performance issues, and it can also send you alerts and notify you of anything you might need to know.

How I Built a Data Discovery API for AWS Data Lake

Here’s how I created a Data Discovery API for AWS Data Lake. A step-by-step guide in creating FastAPI abstraction that allows us to query the AWS Glue metadata catalog.

The great serverless cost debate (Serverless = Costless)

Is having a serverless framework cheaper than having a server? It just might be. Let’s have a look and findout.

Best Practices For Logging In AWS Lambda

We cover the best practices when logging within AWS Lambda, explaining how and why these ways will simplify your AWS Lambda logging.

 

When to use Docker on AWS Lambda, Lambda Layers, and Lambda Extensions

Many developers adopted Docker containers into their development environment because it helps replicate the production environment as close as possible. Let’s learn when we should use Docker on AWS Lambda, Lambda Layers, and Lambda Extensions.

10 Mistakes to Avoid When Sizing Cloud Resources

In this article, we’ll look at the common pitfalls of moving to the cloud and discuss how you can avoid them to truly benefit from the cloud’s elasticity.

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Industry leader in serverless monitoring

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.

What our customers say

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.