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Real-time monitoring of hybrid cloud systems enables businesses to do more with the software architectures they use to support operations. Based on a multi-cloud model, hybrid cloud strategies utilize aspects of both private and public cloud systems, to give businesses a more customized and agile mix of cloud services. This generally requires various types of orchestration that can benefit from real-time monitoring.
One of the biggest value propositions for real-time hybrid cloud monitoring is that it allows for better application performance. This type of monitoring can help you deal with latency and input-output conflicts. Workloads can be shuttled faster between various parts of the software architecture.
Real-time hybrid cloud monitoring can help to optimize the ways that storage is used to take data in transit and turn it into data at rest. Philosophies like hyperconvergence look at how storage can become a more integrated part of the puzzle. Real-time monitoring and orchestration for hybrid cloud can help with this type of challenge. For instance, some types of cloud monitoring will observe encryption processes or other efforts that could trigger delays or cause problems for data transfers.
In addition, utilizing a hybrid cloud approach and pairing it with real-time monitoring can help companies to avoid vendor lock-in. With orchestrated hybrid cloud systems, the company is more likely to have a choice in paths when it comes to scaling systems. The company can look at various vendor thresholds and other factors to figure out where to source additional resources, in order to avoid high fees and costs. By contrast, going with either a single public cloud or a single private cloud approach can result in vendor lock-in, where the company feels unable to move forward without a certain partner as a vendor.
Another value of real-time monitoring is that it can help with security standards. When a high-pressure industry requires compliance for IT systems, some types of monitoring can show that the company’s architecture has the ability to protect client data or other sensitive data. Behavioral analysis monitoring and machine learning network monitoring can help to identify and deal with potential threats to a system.
All of these things are part of what real-time hybrid cloud monitoring can do for enterprise. There’s somewhat of a consensus that hybrid cloud models, which are innately sophisticated and complex, pair well with an aggressive real-time monitoring regimen, and for reasons mentioned above, this type of functionality can also be a critical part of a security plan.
