Postman Monitor for Continuous Monitoring and Alerting in MS Teams

Overview: Pretty much every tester and developer loves postman. And that is because it makes our lives easier and it just plain awesome.  Postman is bringing out tons of new features and I was playing around today looking how I could do continuous monitoring with my postman collections.

Thoughts & Playing:

I have a postman collection that runs 8 requests and does 14 asserts.  The first request gets a new OAuth token using AAD login.  Then I do a series of requests and I do an assert to ensure I am getting a 200 response code and that the response time is less than 3 seconds on each call.  I can run the collection locally.  Level 100 API verification looks good.

In the past, I have taken this collection and run it as a shortcut on my desktop using Powershell with the Postman CLI to display me the results.  Makes my life easier.

I then added Elgato stream deck so I can run the monitor with a single button push (more me playing than real value).  I'd say I'm at level 200 in continuous monitoring capability.

Next, I setup a monitor on the collection, and this allows me to login and view the dashboard and trace, great stuff, and I get an email if anything goes wrong as an alert.  So now I'm getting serious about monitoring and alerting on my API's.  Level 300 is approaching.

Postman monitoring has integration for MS Teams, and Slack.  It also can send logs to Data Dog and New Relic but now Application Insights (recon this will come soon).  I setup a channel in teams to have a webhook, and I can send in the results using Postman but it's way easier to use the integration on the Monitor to push the result of each run or automatically after 3 failures.

Summary:  This Postman monitoring allows me to send detailed API requests at different intervals so I'm thinking for production: 

• 5 min for health and basic check (look for performance and service slowdown or failure; add alerts but don't over alert so use teams except if service breaks then Teams groups),
• Hourly, check key functionality/API's including CRUD operations and clean up (ensure the service is operating for most key endpoints), and
• Daily, in the early hours run a full regression API set of tests, and clean up afterwards (Support/help desk need to review each day).

Don't over alert, let me say that again don't over alert.  Alerting is like water, you definitely a little but floods are not great.  So with Teams & Slack, it's easy to push results and issues into a channel so key people are aware, and it gives a much better experience than email alerting.

I like the idea of using Postman as it's infrastructure is separate as I generally use the Azure/MS stack including Application insights. 

What Next:  I'd like to figure out how to push results into my logs for reporting off a single source.  I could embed the postman monitoring into iFrames but I'd probably use an Azure logic apps Azure function to listen for the Postman POST, then I can format adaptive cards for Teams, and outlook, easily integrate Twilio for SMS or maybe What's app.  From the logic app i can use a Application Insights SDK to add Tracing.  

Combining with Correlation Id's and App Insights, I can see issues, have them summarised, get the right level of alerting, trace specific issues quickly.  Ideally we capture issues before customers report them. and if a customer reports and issue it can be 100% traced, remediated and fixed for all customers quickly.  Changes to API's and compatibility is also a nice benefit of this approach.