Software development has greatly evolved over the years. Serverless is an emerging software architecture that could resolve issues when it comes to developing software solutions. As software developers, you’re tasked with server setup, installing the software, operating systems requirements, server management and maintenance, designing an application with high fault tolerance and availability, as well as managing load balance and more.

Troubleshooting production issues in Lambda environments is often challenging. CloudWatch requires developers to comb through logs, search for relevant terms that they may not always know of and has hard-to-consume stack traces. For obvious reasons, we recommend using Sentry to instrument your Lambda Functions code in order to report error stack traces and associated debugging context. Here’s a walk through on how to instrument a Node function.

AWS DynamoDB changed the database game in Serverless and continues to do so, as its design repeatedly proves its huge value. This guide takes you through everything there is to know about DynamoDB so you can rest assured you’re using the service in its best way and reaping all of the benefits.

Deploying a stack into AWS is at the core of what Stackery helps you do. So much so that Stackery users deployed over 10,000 times last month! For the most part, this has been a manually executed process in our Web UI or command-line client. As teams grow and take on more work, fast and consistent deployments are key to scaling effectively. That’s why we’ve been working this year on continuous integration and deployment (CI/CD) features, tailor-built for serverless applications.

Now that you’ve chosen to go the serverless route, which vendor option should you go for? That’s one of the major questions that anybody asks themselves when they make the switch. Should you choose Amazon Web Services (AWS), which is a mature service that will serve you well, or should you go with e Google’s younger Firebase? Before the comparison of AWS vs Firebase, we should understand what serverless really means. This one server can be responsible for several different functions.

When it comes to patient care, convenience and trust are critical to success. Healthcare startup Galileo prioritizes just that through technology that gives people 24/7 access to medical care and improves the dialogue between patients and their doctors. Galileo ensures uptime, minimizes latency, and reduces errors so patients get the help they need when they need it and can ultimately live better, healthier lives.

In Part 1 of our Complete AWS Lambda Handbook for Beginners, we gave a refresher on the fundamentals of AWS Lambda and what is AWS Lambda. In this post, we’ll look at AWS Lambda pricing, some interesting Lambda facts and examples of great AWS Lambda use cases in your serverless application.

So much has been written about Lambda cold starts. It’s easily one of the most talked-about and yet, misunderstood topics when it comes to Lambda. Depending on who you talk to, you will likely get different advice on how best to reduce cold starts. So in this post, I will share with you everything I have learned about cold starts in the last few years and back it up with some data.

To get some serious work done, we usually need to prepare for it. “Baby steps first,” they say. In our niche, these “baby steps” would be countless small jobs that need to be done before we can start with our main project. Proper preparation(try saying this 5 times fast) is the key to success, but after we’ve achieved our primary goal, there will always be something to do to keep it steady and flowing.