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Serverless Debugging and Troubleshooting from Developers to Developers

Operate serverless applications with confidence. Easily understand complex cloud environments. Get best practice guidance to improve your infrastructure.

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Monitor, fix & troubleshoot cloud applications.

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Confidence in your application with access to all data.

Dashbird is the central data platform for your serverless environment. Logs, metrics, traces, and configuration data collected automatically for all serverless services (Lambda, DynamoDB, SQS, API Gateway, etc.).

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Catch failures immediately.

We provide automatic collection and filtering of log data to detect all kinds of failure events. Code exceptions, timeouts, configuration errors, and other anomalies are found automatically. You get notified in real-time via Slack or email without any setup overhead.

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Improve your application with actionable insights.

Dashbird features 50+ continuous checks of all your resources that surface issues around performance, cost, security, and best practices. The platform acts as a Well-Architected lens for your serverless application.

Core features

Central platform for all monitoring data

Dashbird centralizes and transforms monitoring data from a lot of cloud services. This gives development teams convenient access to all data about their cloud infrastructure in one place. No code changes and no security issues.

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Infrastructure monitoring

Dashbird gives engineers and product teams the account level overview while enabling them to go deep into individual resource or transaction level.

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Failure detection from CloudWatch logs

As soon as you connect your AWS account, Dashbird will start analyzing CloudWatch log data and surfacing code and service level failures. The platform features an extensive collection of prebuilt filters, that detect code-level issues across all runtimes and also service-specific issues like timeouts and configuration errors.

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Well-Architected Insights

The platform features a collection of over 70 best-practice checks, continuously surfacing opportunities to improve your cloud infrastructure.

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Use cases

Monitoring production applications

Increase the quality of your service by getting observability, failure detection and efficient data interrogation from one platform.

Alert management

Dashbird detects known and unknown failures across all cloud resources and offers a powerful alert and incident management platform to build your on-call process on.

Debugging activity

Debug and analyse root causes of issues in seconds with access to real-time activity data. Dashbird breaks down silos between logs, metrics and traces.

Performance optimisation

Find and solve performance bottlenecks. Understand the implications of code changes and architecture modifications.

Cost optimisation

Monitor the cost of each cloud resource and find out how you can optimize them. Dashbird tells you if you have overprovisioned on unused resources and shows you where you're losing time and money.

Security and compliance

Continuous security and posture checks across your serverless infrastructure, enforcing best practices, and reliable architecture.

Why Dashbird

Operating serverless applications is hard

Monitoring data is distributed in silos and very hard to navigate. Managed applications produce large amounts of logs, metrics and tracing data and the logic is distributed across many resources.

Failures are difficult to pin down. Known and unknown errors can happen in Lambdas or other services across your environment. Detecting them quickly is difficult.

Security, cost optimization, and best practices are hard to maintain. With so many new services and moving pieces, keeping on top of all the angles can be challenging.

Dashbird makes it quick and easy

Centralized and managed monitoring data. Dashbird automatically collects all necessary data from your application, makes it available through search and dashboards, and filters out meaningful events.

Automatic alert coverage. Dashbird continuously analyzes logs and metrics to detect errors and changes in application performance.

Continuous Well-Architected checks. Dashbird features over 60 rules and checks which it continuously monitors to provide actionable insights for best practices.

Made by Developers for Developers

Our history and present are deeply rooted in building large-scale cloud applications on state-of-the-art technology. Dashbird was born out of our own need for an enhanced serverless debugging and monitoring tool, and we take pride in being developers.

10,000+ developers trust Dashbird

Dashbird helped us reduce the time to discovery from 2-4 hours to a matter of seconds. This means we’re saving dozens of hours in developer time, which not only can be funneled into improving the product but also means 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.

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.

Read our blog

AWS Well Architected Framework in Serverless: Cost Optimization

In this post, we’ll talk about the Cost Optimization (COST) pillar of the Well-Architected Framework (WAF) and what you should focus on in order to build cost-effective serverless environments.

How to Build, Deploy, and Debug a Food Delivery App on AWS

We’re getting down and dirty in this hands-on tutorial on how to build and deploy an event-driven Lambda backed food delivery app, and how to monitor it without using AWS products.

AWS Step Functions Error Handling

In this article, you’ll learn the common reasons behind AWS Step Functions errors and how to assess and handle them.

AWS Well-Architected Framework in Serverless: Reliability Pillar

In this article, we will focus on the AWS WAF Reliability (REL) pillar: the Foundations, Failure and Change Management.

AWS Well-Architected Framework in Serverless: Operational Excellence

This article will discuss the second most crucial pillar of the AWS Well-Architected Framework: Operational Excellence (OPS).

Go to blog