Well-Architected Reports

Real-time Well-Architected Reports

Dashbird's real-time Well-Architected Reports are designed to provide continuous reporting on how well your serverless architecture is complying with the industry's standards and best practices.

Dashbird features over 100 complex rules continuously scanning across all your AWS services to evaluate the posture of your infrastructure. The tool provides great value in making sure you’re building a truly resilient app that can take on added complexity over time. And the best part of this feature is it is forever free to use.

Dashbird evaluates the delegated AWS infrastructure against the five pillars of AWS Well-Architected Framework:

Security
Reliability
Performance Excellence
Security
Cost Optimization

The aim of the Well-Architected feature is to help you find out in seconds how your infrastructure benchmarks against industry best practices and take necessary actions to what, where, and how to improve your current infrastructure in order to achieve a reliable, performant, and cost-effective infrastructure.

Each insight Dashbird detects is accompanied by know-how on the incident, instructions on how to solve it and avoid it in the future (see more in our Event Library).

The Well-Architected Dashboard

In the Well-Architected Lens service, you can see the breakdown of evaluations against your infrastructure. Insights count detected for each pillar of Well-Architected Framework are listed along with the severity levels:
- Insights ok
- Insights critical
- Insights warning
- Insights info

You'll also see an overall view of the insights for the delegated AWS infrastructure enlisting overall insights detected by:
- Insights rules
- Insights by region
- Insights by services

Lastly in the Well-Architected Lens, you'll have the insights section which provides details on each insight that is either critical, warning or info as detected by Dashbird. For each insight a detailed description is provided on the issue and possible steps on how to resolve that in the Dashbird Event Library.

Each insight is also tagged appropriately with the severity level and to what pillar of Well Architected Framework it relates to along with the region information and the time information when the insight was discovered. A shortcut to the resource corresponding to the insight is also available here to explore the resource in detail in the Events service.

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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.

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What our customers say

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.