Anyone from Metrist able to explain this?
Anyone from Metrist able to explain this?
In more detail, this can be for three reasons: 1.) We use functional testing so we're simply showing what aspects of the platform are working and what's not. Due to definitions of "outages" and such in SLA's, vendors like Datadog might not disclose/categorize certain dysfunctions as outages and so they won't show them on their status page. In other words, some outages might be more "minor" and they won't include them on the status page. 2.) Status pages are manual, Metrist is automatic. DD might not have updated or even be fully aware of the outage. Our tests are just showing the objective data as it's happening. 3.) Everyone experiences outages differently. This data from the demo is Metrist's experience with Datadog and can be slightly different from other people (another reason why status pages can be vague). That's why we have an orchestrator that allows people to set up personalized monitoring so they can know exactly how a vendor is affecting them in real-time. And if an outage is relevant to and affecting them.
Does that answer your question? LMK if I can follow up with more info. :)
This bugs me to no end. I don't want to name names but I had a devops service that was returning an odd error implying I was doing something wrong. Status page said everything was good. After several hours I emailed to be told it was actually down, they were aware, and were working on it. It eventually gets fixed, they email back, and all is well. The status page never did show any downtime.
One follow up is there are instances where Datadog report outages but Metrist says it's green.
Is that because the functional tests are still working but some other part of Datadog was reported as down?
The AWS team has a hard challenge of reporting availability and deciding when a system is not green across dozens of API use cases per service, hundreds of services, hundreds of data centers, dozens of availability zones, and millions of clients.
Metrist has no visibility into services internal SLA, SLO, and SLIs. [1]
[1] https://cloud.google.com/blog/products/devops-sre/sre-fundam...
Here are some examples where the SaaS says they are down/degraded, but Metrist thinks they're up:
https://app.metrist.io/demo/jira
https://app.metrist.io/demo/circleci
Here is another where Metrist thinks the service is down, but self-reportedly up:
But what about the reverse? In what scenario would the platform say something is down but Metrist says it's up? Metrist is fully automated as I understand it, so it should detect it faster and reliable than their manually updated status pages, right?