OMS | Operations Management Suite
In simple words, what basically happens is
that OMS goes and talks to different servers, applications in your environment,
collects information about how they're doing, consolidates this information in
the form of nice colorful graphics and searchable records, after that presents
it to you in one single, convenient place, and it doesn't matter where your
servers or applications are running, Azure, AWS, on-premises or which operating
system they're running on, Windows or Linux, it just works. Configuration is
minimal, and you can be up and running literally in a matter of minutes.
Manage
usage and costs for Log Analytics
Real-time monitor, analyzing availability
and operational intelligence. Collect, store and analyze log data from
virtually any source and turn it into real-time operational intelligence. It
has a web-based portal that can be used to manage OMS resources, add configure
OMS solutions, view and analyze data in the OMS repository.
Log Analytics is designed to scale and support
collecting, indexing, and storing massive amounts of data per day from any
source in your enterprise or deployed in Azure.
While this may be a primary driver for your organization, cost-efficiency is
ultimately the underlying driver. To that end, its important to understand that the cost of a Log
Analytics workspace isn't just based on the volume of data collected, it is
also dependent on the plan selected, and how long you chose to store data
generated from your connected sources.
In this article we review how you can proactively
monitor data volume and storage growth and define limits to control those
associated costs.
The cost of data can be considerable depending on
the following factors:
- Volume of data generated and ingested to the
workspace
- Number of management solutions enabled
- Number of systems monitored
- Type of data collected from each monitored resource
- The length of time you decide to retain your data
Daily
cap
You can configure a
daily cap and limit the daily ingestion for your workspace, but use care as
your goal should not be to hit the daily limit. Otherwise, you lose data for
the remainder of the day
