Back in earlier times, Capacity Management was far easier. While many of the technologies we use today
(including virtualization and shared resources) started decades ago on the
mainframe, all the relevant work was done on that mainframe. The data needed to measure and manage
performance and capacity was easily available, well understood, and quickly put
to use.
Things are different today. Mainframes and dumb terminals have given way to distributed, client-server environments. Those environments have grown in complexity as technologies that allow for clustering and virtualization bring us back closer to the mainframe model of decades before.
So, given that no one data set from the resources that make up today’s data center contains everything that a capacity manager needs in order to make informed decisions, a different approach is required.
Andrew Smith
Things are different today. Mainframes and dumb terminals have given way to distributed, client-server environments. Those environments have grown in complexity as technologies that allow for clustering and virtualization bring us back closer to the mainframe model of decades before.
So, given that no one data set from the resources that make up today’s data center contains everything that a capacity manager needs in order to make informed decisions, a different approach is required.
Angle
over distance
A key approach used in many fields is “angle over distance.” In
other words, it’s more important to have the right approach (or the right
angle) over getting as close as possible to the item (or for the capacity
manager, the components) that you are analyzing.
It’s easy to look at an individual server, for instance. Good performance and capacity data is
available from most operating systems, databases, and server-based
applications. What happens, though, when
a transaction spans the Internet along with dozens of servers (web servers,
middleware servers, application servers, indexing servers, etc.) and
potentially a group of databases or a big data warehouse? It’s possible that service level agreements
are not being met even though each component piece appears to working as
designed. This is where “angle over
distance” and 360° Capacity Management is crucial to the success of a service,
to IT, and to the business.
From one
angle, managing components (and the services that run on them)
It’s still crucial that all the hardware components be monitored
and managed as one under-configured (or mismanaged) component could cause
considerable performance and capacity problems.
A product like our athene® is an important tool in the kit as it
can capture performance and capacity data from all the hardware resources that
make up today’s complex infrastructure.
Data can be captured and incorporated into a Capacity Management
Information Store (CMIS) by using athene® Acquires or
using agentless technology. Vital data
such as business statistics, centralized storage and network data can be stored
in the CMIS by using our Integrator Capture Packs to ensure visibility of data
from all angles. Capture Packs are
available from Metron for many storage, framework, middleware and network
environments. Metron also supports a
variety of capture packs integrating data from our software partners such as
Intellimagic, AES and IIM. Others are
continually being added as part of Metron’s client relationships or developed
by the athene® user community. Whatever software you choose to use, you ned
something that can provide this central CMIS capability and the component feeds
into it.
Covering all the
angles, managing services (and the transactions that comprise them)
Once
the components are well-managed, it’s time to pay close attention to the transactions. Most service level agreements are written to
ensure that a certain percentage of transactions complete within prescribed
limits. In order to police those
agreements, it’s necessary to capture key metrics from every production
transaction. We feel the Sharepath software
re-sold by Metron is just the tool to do this, as it measures the end-to-end
experience for every transaction and can alert the analyst on transactions that
are not meeting (or are in danger of not meeting) those requirements.
With
Sharepath it’s possible to do much more than just measure, report, and alarm on
end-to-end response times – it’s also capable of measuring the residence time
for each hop in the path of the transaction.
If transactions are performing poorly, it’s possible to see exactly where
it’s doing so – this is a crucial piece of information and a necessary input to
the Incident Management and Problem Management processes. There are other product solutions in this
area, but we know of none that do it as comprehensively and with such a good
interface as Sharepath.
360⁰
Capacity Management – See your world from all angles
Agent,
agentless, framework, Capture Pack – whatever the source, all capacity data needs
to be stored in the CMIS. You then need a reporting solution, in our case our athene® software, to report, analyze, trend, and predict using
that data to answer key capacity management questions. Capacity Management today has the same goals
and desired outcomes as it did decades ago – providing adequate capacity at
controlled costs, both now and in the future.
The methods we use today and the tools needed for meeting these goals
have changed due to the changing nature of IT services and the complexity of
the IT infrastructure needed to run these services.
Looking
at performance and capacity challenges from all possible angles, 360°Capacity Management, gives you the ability to properly
meet service level agreements and meet capacity management’s mission of
providing adequate capacity at a controlled cost, both now and in the future.
If you'd like to learn more about 360° Capacity Management then register for our free webinar on September 13 http://www.metron-athene.com/training/webinars/webinar_summaries.html
Andrew Smith
Chief
Sales & Marketing Officer
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