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.
Event-driven programming is currently the default paradigm in software engineering. As the name suggests, it uses events as the basis for developing the software. These events can be something the users are doing – clicking on a specific button, picking an option from drop-down, typing text into a field, giving voice commands, uploading a video, etc (or system-generated events such as a program loading).
The central idea of event-driven programming is that the application is designed to react.
On the business development side, keeping the user engaged with your program is one clear way of making sure your app is actively used and offers value, so it makes sense to build your applications with this focus in mind.
Event-driven programming serves the user with the quickest and most accurate responses and this usually translates into better user experience and business gains. Also the whole focus of software development is on the actual people using the app and their actions, so it will produce better and more intuitive products for the end-users.
The opposite of event-driven programming would be software that doesn’t need any user input to act. This also covers the case of having various services poll each other for data in timed intervals instead of being triggered by events. There are definitely valid use cases for this as well, but the majority of popular applications on the market right now function through either user input or as reactions to events. This covers all social media platforms, games, productivity tools, and many others.
Needless to say, large-scale serverless applications can experience huge benefits of using this approach.
One of the big benefits of event-driven programming is that it’s very intuitive, flexible and naturally well-suited to applications whose control flow are based, not on its structure, but rather on internal or external events.
Because event-driven programming is an approach rather than a type of programming language, it can be practiced with any programming language.
Since it offers considerable value for high-scale applications, mainly for handling concurrency at scale by using distributed handlers, some other use cases might not benefit from it.
Some critics are also saying that event-driven programming is complex to master and not worth the trouble when your application is very simple and small. I’d disagree with this notion. The incredible boost in system optimization you get with only using the resources when you explicitly need them, instead of running them periodically to check for changes, is too good to overlook.
The next big paradigm shift definitely comes with serverless computing – it’s another level of abstraction that makes creating new applications easier and quicker. With serverless, you don’t have to worry about server ops anymore, you can just write your functions, upload the code to one of the cloud providers (AWS Lambda is currently the biggest one) and let them handle all the backend work (and you only pay for the time when your code is executed).
This is the next big change that will bring event-based programming to the next level and it’s already gaining mainstream traction.
When you switch to serverless computing, do remember to check out Dashbird to get a nice centralized overview of all your functions! It’s the best serverless observability tool out there 😉
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.
In this article we’ll go through the ins and outs of AWS Lambda pricing model, how it works, what additional charges you might be looking at and what’s in the fine print.
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.