Pro Database Migration to Azure by Unknown

Pro Database Migration to Azure by Unknown

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Language: eng
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Chapter 5 ServiCe and SyStemS monitoring

hardware) on-premises, we are now able to dynamically scale up (or down) elastically.

So running at 70% or higher sustained utilization is not uncommon. You can also enable

autoscale events to trigger scaling out resources when utilization reaches a certain

threshold, or scheduled to accommodate periodic workload requirements.

We have worked with many organizations on reducing their cloud spend. There are

a number of important things enterprises can do to save money. Automatically shutting

down nonproduction resources at night and on weekends, tiering storage for hot/cold/

archive, and autoscaling are all effective ways to reduce cloud costs. However, none of those methods come anywhere close, in pure dollar savings, than an understanding of production

workloads and creating effective baselines to right-size their cloud resources. When used in

conjunction with Reservations and Reserved Instances as discussed in previous chapters,

significant savings may be realized through benchmarking or your data workloads.

Data Platform Monitoring in Microsoft Azure

Of course, the work does not stop once you’ve moved to Azure. In fact, tighter SLAs and

less performance headroom coupled with new technologies means data professionals

must be even more in tune with their workloads. Additionally, many of the parameters

used to tune performance on-premises are abstracted in Azure PaaS offerings. Sure, maybe

it was a pain to manage Operating System (OS) settings in your virtual environment, but at

least you could. Admins now have fewer sliders with which to tune performance.

Cloud-native monitoring is an area of tremendous innovation. In fact, if asked where

we think there is likely to be major disruption within the next three years, we would

say, without hesitation, monitoring and observability in the cloud. Streaming datasets,

Machine Learning (ML) and Artificial Intelligence (AI), and OpenObservability are

harbingers of what is to come. Virtually all commercial data platform monitoring tools

now support monitoring Microsoft Azure resources in some fashion.

Azure Monitor

Initially, the monitoring tools provided through Microsoft Azure were limited and largely

used to supplement other tools. That is changing as new features are added to Microsoft

Azure Monitor at a rapid clip. Azure Monitor provides the ability to gain a unified view

of your on-premises and Azure resources with cloud-aware monitoring to gain deep

insights into dependencies, application performance and availability, and key metrics.

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