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.
Abstraction is a developer’s dreamland, where no one needs to work through the art of IT Ops processes such as infrastructure resource planning and management throughout the application lifecycle. Fortunately, AWS came up with an answer in 2014 by introducing the Lambda compute service that transformed the way backend infrastructure is managed in response to changing in-app events and code execution processes.
Instead of defining, planning, provisioning and managing the underlying infrastructure to execute app requests, Lambda lets developers upload their code to AWS and automatically takes care of the infrastructure management processes. The resources are provisioned only in response to the app execution requests and terminated when the request is served – and users are typically charged for the compute time consumed or the number of compute requests.
In simple terms, developers write the application logic without thinking about the servers – hence the serverless architecture. On the surface, serverless computing drastically reduces the cost, complexity and efforts in managing applications. Developers can work to write the best software products, focus on innovation and improve time to market. At the same time, going serverless has its limitations and doesn’t eliminate the need to observe the application development lifecycle from a holistic perspective. To overcome these limitations, developer tools such as Dashbird have emerged.
Here are a few pointers to get you thinking:
That’s not it – we’ve yet to highlight the software testing concerns but that’s a complete new topic on its own! But don’t let the tradeoffs and considerations (sometimes presented as drawbacks) keep you blindfolded toward the disruptive, transformative and game-changing platform that serverless architecture offers. It’s important to note a key fact: the world of IT is in a continuous state of development and evolution. Resisting the change doesn’t help. It’s more about taming the beast and maximizing the value potential of new technologies.
With this philosophy, Dashbird lets IT teams navigate the monitoring challenges associated with Lambda and serverless architecture. The monitoring solution offers a holistic overview of all functions, tracks errors in real-time and alerts for the most impactful events before it’s too late. All of this through an intuitive control panel and interface so that IT teams spend more time innovating and less time merely to keep the systems alive.
Take a look at more product features here.
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.