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.
Dashbird Inventory service provides users with a list of all of their cloud resources provides a single-pane-of-glass view into logs, metrics, traces, errors and anomalies of each of those resources. Currently, Dashbird supports the following services:
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On the inventory service page, on the right, we can see the count of resources by:
On the left, you have all the resources in the associated AWS account listed and organized by resource type. The resources can be filtered based on service type and you can sort resources on metrics such as highest throughput, slowest response time, most errors, endpoint count, most time-consuming. From the search bar, you can easily search for a specific resource as well.
Click on a resource to analyze the resource closely:
In the example above, we are looking at a Lambda function called insights-service-prod-check. The view contains a metric section (time-series data for invocations, errors, cold starts, duration, memory utilization, and cost), execution list (invocations, cold starts, errors, retries), error list (list of all detected code errors, timeouts and such) and insights and alarms sections.
insights-service-prod-check
Other data points are offered, such as the average message payload size, the average delay in reading messages, the TTL (Time to Live) configured for messages, etc.
Each resource will show information and metrics associated with its particularities. DynamoDB Tables, for example, will show Read and Write Capacity Units (RCU and WCU), Throttling occurrences, Global Secondary Indexes, Partition Keys, etc.
The ECS clusters and services views will provide resource consumption (CPU and Memory), as well as the number of services, tasks, servers in the cluster, etc.
API Gateway view shows the history of requests and errors, the average latency and endpoints configured in the API.
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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.
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.