IT management challenges
Twenty IT management challenges and how we approach them.
Rolling out ITSM without a six-month project
Introducing a new ITSM tool does not have to mean months of workshops and consultants. Start with one area, bring over the data you already keep in Excel, and check readiness before you go live.
Audit and regulation: accountability you can prove
An auditor does not ask whether you have a process, but whether you can show who did what, when, and who approved it. Here is how to have the answers ready before the question comes.
The data center in your CMDB: from room to rack unit
A technician standing in a server room has no use for an IP address. They need the aisle, the rack and the rack unit, and they need to know whether that piece of hardware is still under a support contract.
End of support for OS and hardware, under control
End of support for an operating system or server rarely comes as a surprise, yet it still catches teams off guard. Here is how to keep the lifecycle under control and plan renewal around services, not server lists.
Shared platform, separated customer data
A shared services provider needs one platform for every customer, while each customer wants to see only its own servers, incidents and costs. Here is how to have both without compromising security.
A price list someone is accountable for
An IT price list is often a spreadsheet someone built years ago and nobody wants to touch. Here is how to turn it into a governed document with a clear owner and approved changes.
Showback and chargeback without the spreadsheet marathon
Monthly IT billing often means days of manual data wrangling and a nervous check before anything goes out. Here is how to turn the month-end close into a routine backed by traceable data.
What does one IT service actually cost?
We know our cloud and data center invoices to the cent, yet the cost of a single service is usually an estimate. Here is how linking costs to the CMDB gets you a number you can stand behind.
Major incidents: coordination instead of chaos
In a major incident, the technology is only half the problem. The other half is who knows what, and when. Here is how to turn the first minutes into coordinated work instead of a hunt for information.
A service catalog people actually use
Many service catalogs exist on paper while requests still arrive by email and phone. Here is how to build one where requesters know what to fill in and fulfillers know what to do.
SLAs measured the right way
A deadline that runs through weekends and holidays, or ignores time spent waiting on the customer, creates needless disputes. How to measure SLAs so the numbers match both the agreement and reality.
Monitoring noise: from thousands of alerts to a few situations
When monitoring reports everything, it effectively reports nothing. How to turn a stream of events into a few clear situations with a probable cause and a visible impact on services.
From a vulnerability finding to a production change
The scanner finds thousands of issues, yet fixing them in production is still manual work. How to link vulnerabilities to servers, services and changes so the important ones get fixed first.
Patching without the monthly negotiation
Every month, the same round of emails about when servers may be rebooted. A patch agreement with the service owner turns a recurring negotiation into a standing rule.
Maintenance windows and freezes: when production may be touched
Maintenance windows, change freezes and collisions often live in people's heads and scattered spreadsheets. Here is how to turn them into rules the system enforces for you.
Change approvals without email ping-pong
A change waits for approval, the approval sits in someone’s inbox, and the maintenance window is getting close. Here is how to move approvals out of email and into a single queue.
Who owns this service? Accountability you can trace
When nobody is sure who is responsible for a service, changes wait, incidents bounce between teams and approvals stall. Clear ownership is the foundation the rest of operations stands on.
The single points of failure you don't know about
A service is redundant on paper. In reality it may hang on a single switch, storage array or hypervisor. Here is how to find those weak spots before they find you.
What breaks if this goes down? Impact before the outage
Teams usually ask what depends on a component only once it has failed. A layered dependency map lets you know the answer before anything goes wrong.
The CMDB nobody trusts
When nobody can rely on the CMDB, people keep their own spreadsheets and phone colleagues during incidents. Here is how to rebuild trust in configuration data, one step at a time.
Start with a pilot in one area.
Pick a customer or a department and its key services. After the pilot we review SLAs, changes and costs together – and you decide on expansion with peace of mind.