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Engineering time is a precious resource. We often have to balance many tasks and often conflicting priorities. In this article, we’ll look at ten underrated activities in engineering for which allocating more time can be beneficial. Let’s learn from the mistakes of others.
Handling large images has always been a pain in my side since I started writing code. Here’s how you can solve it with serverless.
This article will discuss the different options for testing your AWS Lambda functions; the focus will be on JavaScript.
Here’s everything you need to know to get started with Dashbird – the complete solution for End-to-End Infrastructure observability, Real-time Error Tracking, and Well-Architected Insights.
Monitoring the execution of Lambda functions starts to become a real issue when you have tens or hundreds of functions running at the same time. I tried using Dashbird for AWS serverless monitoring – here’s my review of the experience.
The simplicity and scalability of S3 has made it a go-to platform not only for storing objects, but also to host them as static websites, serve ML models, provide backup functionality, and so much more. In this article, we’ll look at various ways to leverage the power of S3 in Python.
Running any application in production assumes reliable monitoring to be in place and serverless applications are no exception. Here’s how to do that.
In this article, we’ll discuss cold starts: what influences serverless startup latency, and how to mitigate its impacts in our applications.
Dashbird is a monitoring, debugging and intelligence platform designed to help serverless developers build, operate, improve, and scale their modern cloud applications on AWS environment securely and with ease.
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.