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Why Cassandra Serverless Is a Game-Changer


Up until now, DynamoDB has been the only option of a truly serverless database battle-tested for production environments. Especially after launching the on-demand throughput capacity optimization, is a perfect-fit database engine for serverless projects.

The main issue with DynamoDB? Vendor lock-in.

That is one of the main reasons preventing serverless teams to adopt a serverless database. Many have falled back to SQL, by using Aurora Serverless, or to a document DB such as MongoDB. These two databases are supported by open-sourced APIs, releasing the vendor lock-in fears.

The problem is: none of these options offer the level of speed and scalability of DynamoDB. See, for example, our detailed comparison of MongoDB and MongoDB Atlas.

The scalability issue can be solved by Cassandra while also meeting the open standards requirement.

As an example: each node in Cassandra can serve requests directly. Without the need for a Master node, as opposed to Aurora or MongoDB, the scalability and reliability of Cassandra are increased by orders of magnitude.

Cassandra is an open-source database system and can be deployed virtually anywhere, in the cloud or on-premise. Migrating an application relying on Cassandra would be greatly faster and cheaper in comparison to one tied to the proprietary DynamoDB API.

The only downside so far is pricing: ~16% more expensive than DynamoDB on-demand mode costs. But considering the flexibility offered by Cassandra, that might be worth paying for.

Serverless Cassandra is still in preview mode. At Dashbird, we are testing it to really confirm it can scale to cope with high throughput of a Lambda application, for example.

We’re publishing a thorough comparison of Cassandra Serverless and

Made by Developers for Developers

Our history and present are deeply rooted in building large-scale cloud applications on state-of-the-art technology. Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.

10,000+ developers trust Dashbird

Dashbird helped us reduce the time to discovery from 2-4 hours to a matter of seconds. This means we’re saving dozens of hours in developer time, which not only can be funneled into improving the product but also means 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.

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.

Read our blog

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Why Are Some Engineers Missing The Point of Serverless?

Why are some engineers missing the point of serverless? Let’s have a look at the common critique points, benefits, drawbacks of serverless, and if it makes sense for your use case.

How Dashbird innovates serverless monitoring

What makes an effective serverless monitoring strategy? In this article, we’re discussing the three core ideas that Dashbird’s serverless monitoring tool was built on top and that should be the fundamentals of any effective serverless monitoring approach.

Debugging with Dashbird: Malformed Lambda Proxy Response

A problem that pops up quite frequently when people try to build serverless applications with AWS API Gateway and AWS Lambda is: Execution failed due to configuration error: Malformed Lambda proxy response.Learn what causes it and how to fix it.

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