Cloud computing has had a transformational impact on the software space, and it has helped the IoT (Internet of Things) accelerate to where it is today. In the past decade or so, the cloud-computing ecosystem has grown tremendously. According to KPMG’s,, Journey to the Cloud report, the public cloud-computing ecosystem has become more than a $100 billion market, with the private cloud ecosystem representing another $50 billion market.

In myriad industries, enterprises dedicate a solid amount of money to cloud computing because it offers benefits like scalability and nearly infinite processing power and storage. In fact, research from Gartner,, suggests businesses spend an average of 20.4% of their IT budgets on cloud. The tremendous focus on developer tools for cloud solutions has also enabled and supported the cloud’s rapid pace of adoption in the business world.

One company that consistently improves its cloud services for enterprises is Google, The company recently announced that Cloud IoT Core, a fully managed service that helps Google Cloud Platform customers connect and manage IoT devices securely and at scale, is now generally available. The service helps enterprises connect and centrally manage millions of globally dispersed connected devices in the cloud. When used as part of a broader Google Cloud IoT solution, Google says customers can ingest all of their IoT data and connect to its state-of-the-art analytics and machine-learning services. In doing so, businesses gain actionable insights that drive decisionmaking.

Google is also building its Cloud IoT Core partner ecosystem with the goal of providing companies with the resources they need to build custom IoT solutions that solve their business problems. Since announcing a public beta of the service last year, Google has incorporated customer feedback into the general release, including new features like the ability to simplify deployments by publishing data streams from the IoT Core protocol bridge to multiple Cloud Pub/Sub topics.

Cloud has been a hot topic in the tech world for many years now, but the buzz lately has been all about the edge. Compared to a cloud architecture, edge or fog computing refers to embedding computing infrastructure near end devices, along the edges of a network. Benefits of fog computing include reduced end-to-end latency and autonomous edge operation. While a cloud-only architecture makes sense for some IoT solutions, other solutions benefit from keeping computing and processing power closer to the edge of the network. Still other solutions benefit from a combination of both cloud and fog computing to address their various business needs.

It’s this last scenario—a blend of cloud and fog architectures—that will enable new applications of IoT and enhance existing ones. Innovation in both the cloud and fog computing ecosystems will go a long way toward helping innovative companies build the future connected world, one IoT connected device deployment at a time. By helping customers streamline IoT device management, cloud-ecosystem players like Google continue to make cloud solutions both valuable and sustainable.

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