Azure Monitor Service
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Video Transcription
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>> Hey everybody and welcome back.
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In this lecture, we're going to be talking
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about Azure monitoring service.
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This is going to be a small portion of your exam and
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this continuing conversation of Azure VMs,
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we're going to actually
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be talking about
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Azure monitoring service and then we're going
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to dive into a lab where we get to play around with
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the monitoring solution and in
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particular when it comes to VM deployments.
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You actually get to see some metrics
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there within the lab as you learn.
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In this lecture we're going to be
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understanding the purpose of Azure Monitor Service
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and some key use cases
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into when you're actually going to want to use it.
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Azure Monitor Service, what is it?
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Well, it basically is the engineering Bay.
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It's the it's the gauge of your metrics,
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your performance, your billing,
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all these various things that you would like to
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track your KPIs metrics,
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if you will, for your Azure
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Cloud ecosystem and architecture.
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This is the area where
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you're going to be able to pull all of
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the logs and various key points of data.
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What we call telemetry.
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This is going to be analyzing, for example,
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how a virtual machine responds
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to the traffic that's being [inaudible].
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The health checks that are going
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>> to be pulled from a VM.
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>> We talked about scale [inaudible] We talked
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about auto-scaling and what have you,
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the health checks for that can be stuffed into
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Azure Monitor Service and you can be monitoring
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an entire fleets of virtual machines for performance,
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for availability and security and what have you.
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But it's not just Azure VMs.
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You can do so much more.
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You can monitor networking,
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you can monitor security,
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you can monitor billing.
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All kinds of information can be aggregated
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using Azure Monitor Service.
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Right here is a little graphic
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that I have actually pulled from Microsoft's website.
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And these are the different types of
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data ingestion that we can actually pull,
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we can pull application data.
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We can pull Operating Systems,
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Azure resources,
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subscription information, tenant information,
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remember subscriptions are the Azure resource data for
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that specific subscription and then
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the tenant would be like your users,
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your groups, your identity
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and access management environment,
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and even custom sources.
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You can pull from custom sources as well,
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so lots of data that you can pull from.
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We're going to be tracking
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metrics and logs and what have you,
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basically these things that we can turn into KPIs.
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This is something that we can turn to insights,
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we can visualize into graphs and
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to interactive dashboards and to analytics.
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Whether that be Log Analytics or metrics, alerts,
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and be able to push and respond these things out.
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If maybe things are failing,
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we can be notified of them via email or SMS
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and we can integrate it with
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other environments such as Logic Apps,
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which are like no code type applications,
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>> drag and drop,
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>> very much user-friendly and that case,
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but also very restrictive.
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We can export using the APIs.
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These are the various datatypes that we can
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monitor and the various things that we can do
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with them all within
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this big solution of the Azure Monitor.
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Now the Azure Monitor I want to highlight real quick,
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it does all of
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these things and you're going to want to be familiar
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with this because you might see
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>> a few questions on this.
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>> There again, I don't think
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you're going to see a whole lot
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on this because the AZ 104 is
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more focused on engineering and architectural design
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and what have you,
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more of the administrative side.
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But there is an element of monitoring,
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so you might see a handful of questions.
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Just get familiar with what type
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>> of data ingestion points
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>> Azure Monitor can pull from
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and what you can actually do with
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>> them when you're done.
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>> Here is actually some graphs.
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These are some sample graphs that
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>> I was able to pull from
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>> Microsoft site as well and you can see here,
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we can pull failed requests.
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We can pull server requests, availability,
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response time and you can actually see
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these dashboards live and interactive.
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It's almost like a heart rate monitor
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where you can see it beeping up and down.
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It's very, very cool and
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you can get a lot of valuable information.
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I want to quickly note here, notice the pen,
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this is because you can actually
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customize your dashboards
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and change it out with
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more relevant information as you need.
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In addition, if you're
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building out your network environment
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>> within your VNets,
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>> I think earlier we spoke about something
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called topologies and how you can
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actually use Azure VNets
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to create topologies in the Cloud.
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Well, you can actually do that here
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and the Azure monitoring service does
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>> help you with that.
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>> You can see exactly how
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the data's being called or it's going
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to and how everything
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interacts and communicates with one another.
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In addition, you can see here that
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we have something called Insights,
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which gives you an understanding of
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your health of your platform.
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This is your health check monitoring service or
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solution within Azure monitoring service,
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you're going to be able to see how
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>> things are performing.
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>> Are they available? Are they
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dealing with any warnings like
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we see here, this warning, right?
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Your CPU is good,
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it's healthy, but disc might be running low.
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Maybe we're needed to increase
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the storage there or throw in another disk.
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You can increase that to mitigate this warning issue.
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We're dealing with our memory issue,
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which could indicate that
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the memory is being overloaded and
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we don't have enough for
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whatever applications being run on the server.
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This is really helpful information.
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Even better about this is that you don't
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necessarily have to sit in front of
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>> this dashboard 24/7.
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>> You could get notified and respond accordingly,
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or have your team members respond
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accordingly to make sure that
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your environment in the Cloud is
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staying highly up and secure,
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and ready to go at all times.
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Continuing on with these examples here we can see
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even more detailed dashboards that you can create,
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all of these is customizable,
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which is something that I love.
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This is a lot of really valuable information,
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and for somebody that is
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leading a team or reporting to management,
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this is something that they want to see.
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They want to see valuable information at a high level,
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that it just gives them the answer right
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>> from the get-go.
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>> You can study this and you can learn,
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how your APIs are doing,
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or you can learn how your users are
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performing in various environments,
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like we have here United States,
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we have United Kingdom.
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We can see how our security is doing with
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anti-malware assessments and just
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so much more information.
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It doesn't just stop here,
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you can just pull so much
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because it's not just Azure services,
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it's even the custom services that you want to
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integrate and throw into these dashboards.
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It's really awesome stuff.
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If you work in an IT operations unit,
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you're going to find this to be
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super-helpful because this gives us an understanding of
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how our servers are being
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handled, how they're performing.
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You can see where they are based on usage and how,
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what regions if you want,
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it's not displayed here, but you can actually
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show how usage is being utilized,
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at what times of the day and what regions you can track
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for your actual resource allocation
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and performance within the servers,
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and jumping between all of us is highly interactive.
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It's not static like it is right here.
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This is just a PowerPoint presentation.
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But the real deal is
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very interactive and you're actually going get
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to take a look at that in the lab
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>> following this lecture.
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>> Let's go ahead and summarize.
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In this video, we talked about
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what Azure monitoring service
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does at a high level
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and the various features that are there,
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It's very, very simple.
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Azure monitoring service is going
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>> to monitor the metrics,
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>> the performance, the security,
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whatever you want it to track,
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it can track for you in
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your Azure environment and even outside,
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you can always plug things into
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it and do custom reporting.
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It provides a really beautiful dashboard that's
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interactive and provides lots of great information.
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The best part, you're
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not stuck with these pre-baked formats.
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You can customize, drag and
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drop and tweak it to your needs,
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your organizational needs, and your leadership as well.
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There's lots of use cases that we've discussed.
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But really the best opportunity for
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learning is when you can actually
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dive in and build it yourself.
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In the next part of this lecture,
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you're going to be learning
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how to do that hands-on in the lab.
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Go ahead and dive into that,
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have fun, and I'll see you in the next lecture.
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