Monitoring platform for keeping systems up and running at all times.
Full stack visibility across the entire stack.
Detect and resolve any incident in record time.
Conform to industry best practices.
In short, AWS Lambda is a Serverless computing platform that Amazon introduced in 2014 and that has been gaining a lot of traction over recent years – and for a good reason! AWS Lambda is event-driven backend service that runs code only in response to triggers, and it automatically manages the resources required by that code. This new way of handling backend code offers a ton of new benefits for software products and services worldwide.
The main benefits of using AWS Lambda:
You don’t need to manage servers and worry about scaling your infrastructure up and down. The code gets served only when it’s actually used and Amazon takes care of the scaling. This means that your backend systems will be more resilient and you don’t need to hire new people to be responsible for it.
Since you don’t have to worry about scaling the infrastructure with every new piece of functionality you want to add to your application, you can be agile and experiment with your product or service more freely. It makes software development much faster and efficient.
Why didn’t anyone think about this before? Only paying when the code is used makes so much more sense than owning or renting servers that you also have to manage. Welcome to 2018!
Since you only pay for functions that are getting used by your end-users, you can be sure that your infra costs won’t get out of hands before you even have any customers on your service/product/application. The infra costs will run in line with the actual usage and that’s very important for new startups that are trying to get off the ground with limited funds.
When using AWS Lambda, you are responsible only for your own code and you don’t have to worry about anything else. Of course, shit happens and your code is never perfect, but we’ve got you covered with that as well – use Dashbird to monitor your Lambda functions and to spot (and fix) possible errors in your code.
In conclusion, AWS Lambda is starting to become the new industry standard for the way backend architecture is handled in software development. If you want to have a competitive edge, you really should consider using it!
In this guide, we’ll talk about common problems developers face with serverless applications on AWS and share some practical strategies to help you monitor and manage your applications more effectively.
Today we are announcing a new, updated pricing model and the end of free tier for Dashbird.
In this article, we’re covering 4 tips for AWS Lambda optimization for production. Covering error handling, memory provisioning, monitoring, performance, and more.
Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.
Dashbird gives us a simple and easy to use tool to have peace of mind and know that all of our Serverless functions are running correctly. We are instantly aware now if there’s a problem. We love the fact that we have enough information in the Slack notification itself to take appropriate action immediately and know exactly where the issue occurred.
Thanks to Dashbird the time to discover the occurrence of an issue reduced from 2-4 hours to a matter of seconds or minutes. It also means that 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.
I mean, it is just extremely time-saving. It’s so efficient! I don’t think it’s an exaggeration or dramatic to say that Dashbird has been a lifesaver for us.
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.