48
COMMENT
Guy Warren, CEO, ITRS
Brexit needn’t break banks
The Brexit vote was a massive shock to many. Huge swings in the markets, and the associated massive trading in assets, put a huge strain on the IT systems of the banks and the trading venues. And the UK hasn’t even actually invoked Article 50 of the treaty to initiate withdrawal from the EU.
The risks are more than just an outage or failure of systems; slow performance by IT systems can cause extra latency in your trades. This is potentially more dangerous as you are trading behind the market and can lose money to those who are more performant and able to ‘trade inside you’, knowing that your trades are delayed and able to predict what you will do next.
For the application support teams, understanding the performance and availability of their very complex systems, and understanding the performance and capacity that is left in the system is critical, but very hard to do in real-time as the volumes are climbing. But modern technology is now able to ‘watch’ the IT systems and to spot ‘hot spots’ as they grow, and identify anomalies or issues as they are building.
In situations like this, it is not enough to monitor static parameters. You need a dynamic IT solution that can not only process the sheer volumes of data being produced,
but do so in real-time, with an ability to respond dynamically to the continuously moving thresholds. Machine-learning algorithms can do so by learning from the trends and patterns produced from the data and evolving accordingly. Accompanied with automation, anomalies can be noted and responded to immediately without the need for human intervention.
For example, a severe increase in the latency on a critical price feed could trigger a temporary suspension of trading on those instruments while the issue is investigated and resolved. Equally, if the CPU on a particular server is regularly exceeding the 90% mark, some of the processes being fed through that server could be temporarily fielded to a different one. In the long-term, this methodology can also be used to manage your server estate more efficiently by gaining clear insight of CPU levels and the triggers that have resulted in severe increases, or decreases, in server activity.
It may be some time before the risks of Brexit across various asset classes are fully transparent and understood, but businesses that can be dynamic and flexible will be best placed to weather the storm. The elasticity of full capacity management, backed up by insights and analytics, is a good place to start.
www.ibsintelligence.com © IBS Intelligence 2016
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52
