Function-as-a-Service or serverless computing is rapidly becoming the gold standard.
It's more cost-effective, scalable, and has much lower downtime than traditional servers.
As a project manager, it can be difficult to track all the different functions and applications running on cloud architecture.
Use this easy to follow guide to learn about some of the best ways to monitor and troubleshoot Lambda programming.
One of the things Amazon touts about CloudWatch is its customizability. You can create custom metrics, monitor CPU usage, and view things like request and error rates in your applications.
It allows you to get a system-wide view of everything taking place in your AWS applications.
Using X-Ray allows you to follow single or multiple requests on your application. You can check out detailed information about the request itself, how your application responded, and other resources called upon.
This is extremely useful when trying to troubleshoot or optimize your application. The data provided by X-Ray includes application calls on things like:
You can also use the trace data from X-Ray to generate detailed service graphs. These will show you the client as well as the front- and back-end services that your application uses to process requests and data.
It allows you to access all the needed logs and other information in one convenient location. At a glance, you can learn the status of your applications, how many resources they're using, and any issues that have come up.
One of the most useful features provided is failure detection and alerts. If there are any configurations errors, crashes, early exits, or timeouts the system will alert you automatically. Out of the box, it works with every language supported by AWS Lambda. Oh, Dashbird just released their new and improved Alerts screen that you'll love to use! It's soooo pretty <3!
It also provides you with full slack integration. From a project management standpoint, this couldn't be more useful. It automatically notifies developers and troubleshooters through Slack making it easy to get the issue in front of the right person, right away.
Dashbird also keeps persistent data logs for 30 days. This makes identifying errors and troubleshooting much easier.
If you'd like to declutter your AWS monitoring setup, I'd strongly suggest you check out Dashbird.io.