I have been aware for a while that the IT infrastructure library (ITIL) contains a section on Capacity Management. There is, however, relatively little information that is publicly available about ITIL and the way that it is fitted together. (A summary of ITIL is available here.) As a member of the BCS I found a summary of the foundations of ITIL on the 24×7 books site that membership provides access to. Possibly more interesting, however, is the following article that provides some description of the ITIL Capacity Management, along with a simple example of an ITIL Capacity Plan: ITIL Capacity Management Deep Dive Continue reading ‘ITIL and Capacity Management’ »
Posts tagged ‘service’
Last year (in this article) I asserted that monitoring of all user operations on an on-going basis was highly valuable. At the time I was not aware of any automated tools to do this task, meaning that solutions would need to be implemented on a per-application basis. In the worst case, this could mean laboriously adding logging statements into application code and then providing analysis mechanism to extract meaningful information from this logging. Continue reading ‘Monitoring all user interactions’ »
It would seem that “Service Oriented Architecture” (SOA) is taking off as a technology in fashion. As usual, most of the news is generated by people wanting to sell it as the next big thing ready for the prime time. If followed as it is being sold at present, the concept is liable to lead to significant performance problems. SOA is sold on having a large number of “users” who are then often other systems. This is followed all the way back to the real users through an unknown number of tiers. The complexity of managing this sort of architecture increases significantly as the number of tiers increases. If this is then managed without due consideration for managing the system capacity and performance the result will be problems in the future. That is not to say that I don’t see a benefit in the overall technology – there is great potential. Just consider carefully how the performance of operational systems might be proven to be sufficient for the long term.
