We hear a lot about the benefits that big data and cloud platforms can bring to businesses. The ability to collect and process vast amounts of information gives enterprises the power to engage with the real world in ways that have historically been extremely difficult, providing insights that can lead to new business opportunities and a deeper understanding of market conditions. But, one area where cloud operations analytics does not tend to get the attention and investment it deserves is IT operations.
The agility and responsiveness of IT deployment is crucial for modern businesses. Technology infrastructure is a significant cost for all large-scale businesses. Any savings that can be made on the overall cost of that infrastructure can be a big win for IT departments, but figuring out exactly where the inefficiencies lie can be a tricky proposition.
In fixed physical infrastructure deployments, it is only ever possible to proactively manage infrastructure deployments in fairly coarse iterations, such as predicting growth trends and mesh deployments with foreseeable shifts in requirements signaled by other business operations. However, reactive shifts in line with hourly, daily, or weekly trends are well beyond the capabilities of physical hardware deployments. This leads to inefficiencies, because either too little or too much money is being invested, resulting in wasted capacity or lost business opportunities.
In a world that combines cloud platforms and big data analytics, the situation is much different, offering a felicitous combination of data, analytics, and programmatic control that gives IT operations departments the ability to proactively shape their deployments to meet real-time and historical use patterns.
We’ve always been able to make use of server logs and other data to plot traffic and demand for processing and storage, but cloud platforms enable a much increased flow of data. We can see, in real time, the waxing and waning of resource demand across cloud deployments, which gives businesses powerful insights into usage patterns that can be used to inform operational planning.
Cloud Platforms Empower Analytics
As we’ve discussed before, the cloud is a powerful enabler of big data analytics, providing the perfect platform for the filtration and analysis of the large volumes of data that sizable cloud deployments can generate.
Reactive And Programmable Platforms
All of this data, analytics, and insight are largely useless if we can’t act on them. Fortunately, that’s exactly what the cloud enables. With physical hardware, it is not possible to fluidly modify deployments in line with data-derived insights. The cloud, on the contrary, provides effortless expansion and contraction of resources, avoiding the problems of idle resources or missed business opportunities, both of which can cost serious money. The ability to programmatically manage cloud deployments via their APIs offers the potential for automated operations management where deployments reactively respond to data provided by cloud operations analytics systems.
Cloud hosting platforms and cloud operations analytics offer a powerful synergy that can help businesses more efficiently manage their infrastructure deployment and resource expenditure.