You probably know about observability.
It's an umbrella term referring to all the logs,
events, metrics, traces, and dependencies associated
with your business applications.
This data is used to monitor application health
and, when needed, pinpoint the cause of problems.
But why is observability so important to your business
and IT operations?
Hi, I'm Dan Kehn from IBM Cloud.
It started with the move
from traditional application architecture
to one based on cloud technology.
With the move to cloud, you need full visibility
because of the explosion of ever-changing microservices.
And because they're loosely coupled by design,
it's difficult to know about their interdependencies.
The bottom line, traditional monitoring tools are manual,
and they don't do enough.
Cloud-based monitoring tools need end-to-end visibility.
They also avoid another ITOps problem: incident fatigue.
This happens when incident alerts lack
sufficient context details for problem diagnosis.
So, to assure application performance,
you don't need more data, you need intelligent automation.
That's why IBM Observability by Instana APM exists.
It delivered on the promise of observability,
that is, not just knowing that a problem is happening,
but knowing why it's happening and how to fix it.
Instana approaches enterprise observability
with three principles:
automation, contextualized info, and intelligent action.
Let's take a look at each.
First up, automation.
As I mentioned earlier,
traditional monitoring strategies are largely manual.
Developers manually write data collectors and trace code.
They also manually discover dependencies.
Operations teams manually build dashboards.
They manually configure alerting rules and thresholds.
You get the idea. There's a lot of manual effort!
Developers want to spend their time
writing new business code, not writing logging code.
Instana reduces the need for manual logging
by automating the discovery of your app services
and the supporting infrastructure components.
Your teams can then focus
on getting to the root cause quickly
instead of tediously combing
through a mountain of error logs.
These components are correlated
to provide key contextual information
when diagnosing problems.
Okay, now that we've covered
how automation can reduce the observability burden,
let's turn to the next Instana principle:
contextual information.
Contextualization isn't a new problem,
but it's made worse by the increase
of service interdependencies and lots of technology choices.
To be efficient, your team needs relevant data fast.
The Instana always-available context enables
ready-to-use dashboards that quickly navigate
from application to platform to infrastructure.
It visualizes relationships to answer questions like,
"What services are used by my application?"
"What clusters does it depend on?"
or even, "What is my container's configuration?"
Instana contextualizes the infrastructure resources,
that is, what pod, container, cluster, storage,
and so on are being used.
Now that we've got contextualized application data,
what does Instana mean by "intelligent actions"?
It means quicker resolution
because Instana correlates events
for root cause determination.
These correlations are based on known best practices.
For example, using the Application Perspective,
you can drill down with dashboards based
on industry-accepted SRE Golden Signals.
Of course, you can create custom dashboards.
However, it comes out of the box with pre-configured views
that are based on years of feedback from SREs.
So, to wrap this up,
IBM Observability by Instana APM automates
discovery and configuration,
and also turn data into contextual information,
allowing you to take intelligent action.
Imagine reducing your debug time by 75%,
and that's just the beginning.
IBM is a recognized leader in AIOps solutions,
and we're ready to help, no matter where you are
in your AIOps journey.
Thanks for watching.
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And if you want to learn more about IBM Observability by Instana APM,
be sure to check out the links in the description.