2020 – what a ride it’s been! The state of the world this year has definitely been unpredictable and ever more surprising. So for some interesting insights and stability, we’ve turned to Lambdas. Namely, the state of Lambda functions in 2020! Ever wondered how others look without their face masks on? At Dashbird, we get to (metaphorically speaking) see what everyone looks like behind their serverless masks (read: stacks), and identify trends and patterns.

Share A serverless application in its infancy looks and runs vastly different to one at scale. When there are more components to manage, the key to operational excellence is rooted in serverless best practices. Dashbird was created with the mission to help developers succeed with modern cloud environments, no matter their size. As experienced developers ourselves, we’ve faced and understand the challenges found in the functionality of at-scale serverless architecture.

Share When it comes to serverless applications, their distributed nature of exponential scalability and use of potentially thousands of resources automatically begs the need for observability. Using the mass data output of an application to understand and optimize the internal states is a game-changing strategy, but only if used well. Dashbird Atlas takes serverless observability to a new level, reducing excessive noise through simple visualization of your application.

The use of serverless computing has become a must nowadays, and some of you may already know a thing or two about Amazon Web Services like Lambda Functions, Step Functions, and other services AWS provides. However, if this is the first time you hear about them – fantastic! In this article, we’ll discuss AWS Step Functions, what they are used for, how to use them, and the advantages or disadvantages that they bring.

Alright, we talked the “serverless is awesome” talk but now it’s about time to walk the walk. In the light of us launching our brand new website, we thought it would be fun to show you how to create a serverless website from scratch. In the next 15 minutes, we’ll take you through the entire process of creating your first website running on serverless and you better believe it’s going to be awesome.

DynamoDB is a key-value and document database with single-digit millisecond response times at any scale. It’s a fully managed durable database with built-in security, backup and restore capabilities. A keyword you’ll often hear with DynamoDB is that it is a NoSQL database, which simply means it doesn’t use the traditional SQL query language used in relational databases.

Welcome to the final installment of our Complete AWS Lambda Handbook series! Given Lambda is often the central point for many serverless applications, we wanted to make sure we didn’t skip or breeze past any part. In this episode, we’re looking at some limitations and difficulties using AWS Lambda and how to overcome them, and the importance of monitoring for performance and failure remediation.

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.

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.

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.