dynamodb-onetable VS serverless-graphql

SenseDeep can be used to view CustomMetrics graphs and data. You can also create alarms and receive alert notifications based on CustomMetric data expressions.

💍 DynamoDB-OneTable: First released in January 2021, DynamoDB-OneTable is maintained by Sensedeep and is part of its broader Serverless Developer Studio offer.

There are many log libraries that are capable of emitting structured log context data. For SenseDeep, we use the SenseLogs library which is an exceptionally fast logging library designed for serverless. It has a flexible, simple syntax that makes adding detailed log events easy.

I like the idea, especially since I found libraries like https://github.com/jeremydaly/dynamodb-toolbox or https://github.com/sensedeep/dynamodb-onetable not elastic or up to date enough for me and reverted to raw AWS SDK. I look forward to AWS SDK v3 support in your typings!

Try the SenseDeep DynamoDB studio with a free developer license at SenseDeep App or learn more at https://www.sensedeep.com.

This post looks at our libraries DynamoDB Metrics, OneTable and the SenseDeep platform that understand your single-table design schema and can create and present detailed metrics to graphically show how your single-table designs are performing.

You can modify your environment configuration via API, the AWS Console, the AWS SDK or using the SenseDeep Developer Studio.

With SenseDeep, you can easily manage your SenseLogs configuration and view log data to quickly debug your serverless apps.

OneTable Overview Sample — A quick tour through OneTable.

SenseDeep Web Site

Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!

We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100’s of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!

When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.

Serverless Framework: https://www.serverless.com/

Github | Website

In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.

Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.

1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.

It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.

Serverless