When an organization is looking to improve application and service delivery, consolidate existing performance monitoring tools and responsibilities or justify the impact of a new technology deployment, there are a few key components that serve as fundamental building blocks for an effective performance monitoring strategy.
Breaking your strategy into these components improves comprehension while articulating and reaching consensus on the performance monitoring requirements for your business, especially in an environment where cloud, Internet of Things and software-defined everything are gaining significant momentum.
This first component is collection. Any performance monitoring strategy starts with data collection. If you can’t monitor it, you can’t manage it. To prevent visibility gaps, your performance-monitoring platform should be data agnostic, with high frequency polling down to the second. Of course, granular data collection is only useful when you can maintain that data
for a sufficient timeframe, so be sure you can maintain as polled data for accurate capacity forecasts. Applications, systems and network devices produce massive volumes of machine data with cloud and virtualization only adding to the issue. If your monitoring platform can’t scale with your data collection and reporting needs, you’ll end up with significant visibility gaps over your infrastructure performance.
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