Why would you use asset management technology designed for yesterday’s problems to
address today’s?
The question is prompted by something that happens to every software product
eventually: it reaches end of life. That is not a criticism of any particular
product. Every piece of software has a shelf life. It is built using the
technologies and methods current at the time, to solve the problems that were
pressing then. Things move on. New technology, new methods and a changed set of
business problems mean that yesterday’s product can stop being fit for purpose
surprisingly quickly.
A market that keeps changing shape
This is especially true in software asset management.
The discipline started as a subset of IT asset management. It became about
licence compliance — proving you had bought what you were running. Then it became
about software licence optimisation: not just being compliant, but not paying for
anything you did not need.
It did not stop there. SaaS arrived and moved a large part of the software
portfolio outside the reach of anything that inventories a device. Cloud turned
infrastructure into a monthly bill that nobody owns in the way they owned a
server. And AI has arrived as a fourth thing again — models, GPU time, agents and
seats, each with a different budget holder and a different way of going wrong.
The average enterprise now runs 305 SaaS applications, and 46% of the licences
bought for them go unused. Neither number is a problem you can see from a device
inventory built in 2010.
So software written a few years ago can simply not be fit for purpose now. That
matters if you already run it — and more so if end of life has been announced.
But it matters just as much at the point of purchase, which is where it tends to
be overlooked. Buyers evaluate against today’s requirements and rarely ask what
the product will be capable of absorbing in three years.
The sticking-plaster approach
Building software from scratch is slow and expensive. Faced with a market moving
faster than their architecture, a lot of vendors have taken the cheaper route:
contrive a feed between two existing products, bolt older components together,
and present the result as a unified platform.
The other version of the same shortcut is acquisition — buy the companies whose
products fill the gaps, put them behind one login, and call it end to end. The
customer gets multiple products with different interfaces, different data models
and no shared record of what is true. Nothing about that removes the complexity.
It relocates it.
Both approaches produce the same experience. Data has to be reconciled between
modules of what is sold as one product. The interface behaves differently
depending on which screen you are on. Upgrades have to be coordinated across
parts that were never designed to move together. And the questions that cross
asset classes — which departed users still hold a paid licence anywhere, which
applications are in use with no single sign-on coverage — cannot be answered at
all, because no single system holds both halves of the answer.
What we did instead
We took a different decision, and it was not a comfortable one. Rather than
extend what we already had, we stopped and re-engineered the products from the
ground up into a single platform.
That rebuild is what CerteroX is. Five products — ITAM, SAM, SaaS Management,
Cloud Management and AI Management — on one data model, one interface, one
permissions model and one reporting engine. You can adopt one, or several. They
work together because they were built together, not because a feed was written
between them afterwards.
Concretely, that is:
- CerteroX ITAM — ten discovery methods across six operating system families,
including AIX, HP-UX and Solaris as first-class platforms rather than an
integration problem, resolved against a Software Recognition Database of more
than 3.5 million titles.
- CerteroX SAM — dedicated licence engines for Microsoft, Oracle, IBM, SAP,
Adobe and Salesforce, with the Effective Licence Position maintained
continuously rather than assembled the week the audit letter arrives.
- CerteroX SaaS Management — three converging discovery signals, 47
connectors shipping today, and applications classified against a catalogue of
more than 35,000.
- CerteroX Cloud Management — twelve cloud and data platforms, twenty-six
named and individually tunable optimisation checks, and native support for the
FinOps Open Cost and Usage Specification. The average saving across cloud
environments under management is 38%.
- CerteroX AI Management — models, experiments, GPU fleets and AI seats
governed as an asset class, with Shadow AI detected from catalogue feature tags
rather than a fixed list.
The modularity is the point. Because the platform is already running underneath
whatever you deployed first, extending into a second discipline is a matter of
turning on capability that is there, not standing up a second system and training
people on a second interface.
Policy-based asset management is not an aspiration any more
When this was first written, the goal we described was policy-based asset
management — as little manual intervention as possible, with the expert work
encoded in the product rather than performed by hand every quarter. At the time
that was still some distance off.
It ships. Governance Policies are compliance-as-code: a reusable filter builder,
policies that enforce continuously, and definitions you can export and import as
JSON so the standard you agreed is applied rather than remembered. Real examples
run in production — BitLocker enabled, Defender running, Azure VM tag hygiene.
In SaaS Management the workflow engine gives you eight triggers, eleven
conditions and thirteen actions on one canvas, so the step between finding
something and resolving it does not depend on someone noticing. In Cloud
Management, resource TTL, expense limits and tag correlation rules act at the
resource level, with a violation history you can hand to audit.
That is the difference between a product that tells you what is wrong and one
that does something about it.
How to judge this for yourself
You do not have to take a vendor’s word for any of this. The architecture shows
up in questions that are easy to ask in an evaluation:
- How many databases sit behind the product?
- Is the discovery record collected for hardware asset management the same record
the licence engine reads, or a copy of it?
- What happens to my reports and my permissions model when I upgrade?
- If I add a second discipline in two years, is that a configuration change or a
second implementation?
The answers tend to be revealing, and they are a better guide to whether
something will still be fit for purpose in three years than any feature
comparison.
We wrote separately about
why a single platform matters so much when managing IT assets,
and about how CerteroX is built.
If you would rather see the product than read a feature list, book a
demo or talk to us.