The latest News and Information on Serverless Monitoring, Management, Development and related cloud technologies.
Yesterday our founder and CEO Nate Taggart announced his decision to step down from his post. While his presence will be missed by all of us, he made this choice in order for Stackery to bring in a new CEO with the experience and pedigree to steer the business to the next level.
When I browse Stackery’s documentation and blog, I see some great writing that I know not everyone has read. Check out these great articles essential to growth as a developer.
API Gateway is a powerful tool for creating a coherent API out of a set of multiple disconnected remote function providers, and API Gateway with AWS Lambda, when used properly, can give you the capacity to create truly powerful serverless APIs. However, given that API Gateway is a layer between your requests and the code itself, there are latency concerns that API Gateway Lambdas may face that may not be present when working with other architectures.
In this post, we’ll learn what Amazon Web Services (AWS) Lambda is, and why it might be a good idea to use for your next project. For a more in-depth introduction to serverless and Lambda, read AWS Lambda: Your Quick Start Guide to Going Serverless. In order to show how useful Lambda can be, we’ll walk through creating a simple Lambda function using the Python programming language. We’ll test it out, as well as take a look at what Lambda provides for metrics and logging.
Ever wondered what’s under the hood of your neighbors’ car, the situation in their wallet or the configuration of their serverless stack? Well wonder no more! Today we will bring you the statistics of Dashbird so you could compare your Lambda functions with others. Unfortunately, the car and the wallet thingy you should figure out on your own. Let’s start… (I hope you like charts)
