Amazon CloudWatch

Kira is a bit iffy on that.

It's not fully OTEL compliant, but there's a lot in CloudWatch.

So it's like, eh.

Yeah.

21.

How to monitor serverless applications with Oz CloudWatch alarms running any application in production assumes reliable monitoring to be in place and serverless applications are no exception.

22.

Are you focusing on the right product metrics? In this article, we'll delve into seven common mistakes that people often make when it comes to selecting and tracking product metrics.

53.

How to retrieve health metrics for an Amazon IVS live stream and render them as charts In this post we'll show some examples of how to retrieve stream sessions and retrieve health metrics for a live stream from Amazon CloudWatch.

54.

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And so there's no real auditability.

I'm not sending things to CloudWatch, right? It's a little, it's a little scary what they might be doing.

Yeah.

It's nuts.

There are no complete WAF logs because the resource does not exist in the repository.

CloudWatch metrics and request sampling are enabled for each Rulian ACL itself.

Blocking status needs to be analyzed on a sample-by-sample basis.

Alarm.

To ensure notifications were delivered, I had to edit another repository.

I added the SNS.

Publish permission for CloudWatch.

Amazon OS.

Hey folks, my name is Mukul.

So I lead observability at AWS, which includes CloudWatch.

We also have Amazon managed Prometheus and Grafana.

And so all of the observability services at AWS and been in this role for nine months and been in AWS and Amazon for 20 years.

Okay, well, this audience knows a little bit about observability, but how do you describe, you know, observability even for the audience? And also talking products at AWS, what is CloudWatch Omni in this category?

Yeah, look, observability is around for a bit, right? The goal of observability is to really make sure that the applications that you've been running are working as expected for your customers.

And so a lot of things in that in terms of the latency, availability, but also, you know, real user monitoring and all of those capabilities.

Then agents came along a couple of years back and since then, observability is evolving.

Why do I need to reserve capacity for an on-demand database? Oh, right, because the cloud is full.

Amazon CloudWatch Omni, by which they mean Infinidash, is now available in additional AWS regions, but not Ohio, so I still can't use it in my test account.

At some point, picking non-US East 1 regions for your IAM identity center should come with a warning label.

AWS announces Torch Neuron, native PyTorch support for AWS Tranium in public beta, which is big news for folks who are looking for an angle in their NVIDIA negotiations.

All right, well then, yeah, no, it's good.

AWS Batch now publishes job metrics to Amazon CloudWatch.

These now get published natively under the AWS Batch namespace, eliminating the need for custom instrumentation to monitor batch workload health.

Metrics include state transition counts and duration tracking, segmented by job queue name dimension for pure queue visibility.

Batch

is to orchestrate and schedule your jobs.

But then you then run on CloudWatch.

Oh, it says that.

And sure, it's a little bit reactive and it's eventually consistent and it gets there a couple of days later, but it is historically the most accurate way of working out what you actually did in the previous month.

CloudWatch dashboards are great, but again, they're eventually consistent.

They're all best effort, that kind of thing.

And that was what you were stuck with.

You had to write a custom CloudWatch metric and dashboards and sort of, or maybe the metrics were there, but you had to hang your own dashboards together and then you could sort of work it out.

That's really, really painful.

And it also means that you have to give finance teams and things access to other bits of the console that you don't necessarily want to.