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The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency. The key difference is this: monitoring is what you do, and observability is why you do it.
Observability is a business strategy: what you monitor, why you monitor it, what you intend to learn from it, how it will be used, and how it will contribute to businessobjectives and mission success. The key difference is this: monitoring is what you do, and observability is why you do it.
Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. But for a large organization, it’s just one of many sources.
There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.
There’s nothing to analyze, or apply a learning algorithm to—when it comes to any intelligence solution, data is the foundation upon which it must be built. Thankfully, with the widespread adoption of cloud computing and the Internet of Things, data has never been more readily available in today’s business world.
From these data streams, real-time actionable insights can feed decision-making and risk mitigations at the moment of need. Such prescriptive capabilities can be more proactive, automated, and optimized, making digital resilience an objective fact for businesses, not just a businessobjective.
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