Edge devices will become more powerful, but also far more demanding, requiring large amounts of data to be processed in real-time, yet also shared organization-wide for analysis and insight.Įxpect edge devices to be more connected, and to be left unattended more often. If an application has a wide range of traffic loads, serverless can provide both a cost-saving and load management benefit.Īs we move forward over the next few years, edge computing will become even more prevalent. Serverless reduces the need for infrastructure because the modules only execute when needed, without the need to spin up either a full VM or even a container. We can expect growth in serverless computing, where the unit of measure is not a complete server, but the workload, module, or application. By managing containers across environments, complexity is reduced – and any time complexity is reduced, errors and system failures are also reduced.Ĭontainer usage also leads to automation for tasks like deployment, scaling, security, and monitoring, which then reduces the chance of errors and increases reliability – and saves time.īeyond these benefits, container usage provides a level of portability that also helps prevent lock-in, and provides a way to automate logistics and fail-over to be responsive to business needs, crises, and opportunities. Containers are like virtual machines, but are lighter, more portable, and more scalable than VMs, which must also contain an entire simulated machine architecture. Key to this will be an increasing use of containers and orchestration tools.

Overall, this allows you to adapt to constantly changing business requirements while maintaining control over your data. But, no matter how it's distributed, these new fully hybrid cloud operations all benefit from scalability, meterability, manageability, and on-demandability.

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