Rethinking Cloud for the Future

Indeed, for IT leaders, mid-term strategies might feel… oxymoronic. They need to balance pushing diligently towards digitally transforming to protect business operations, revenues and survive, while carefully prioritizing investments in times of great economic uncertainty. So, what does the future look like in terms of cloud, now that the stakes are even higher? 

Accelerating digitization further

What is now added to an existing world of complexity is the demand to deliver additional scale and efficiency while embracing complete macro-uncertainty.

Rethinking cloud operations for the era of modularity

The reality is most IT functions and providers responded well. Cisco’s customers for example, were able to scale out physical data centers quickly to support and connect remote workers, securely provision hybrid infrastructure in minutes to increase application nodes, confidently increase utilization and sweat assets without impacting user experience etc. Ten or even five years ago, that would have likely been a different story.

The app experience is the non-negotiable KPI, so being able to control all corners of the infrastructure – on-premises and in public clouds – will be key to delivering resilience and assuring application performance at scale. That does not mean looking for the new solution that can “manage everything” or a one-size-fits-all approach, but on the contrary, driving efficiency with modular capabilities that can offer standardization across processes and teams supporting the individual initiatives that matter the most. After all, chances are that each application team will work on a unique set of requirements: from the existing on-prem system dependencies, to the preferred public clouds and tools, to the networking, security, governance and data regulatory requirements.

Critical capabilities

A great example of this is automating and building self-service capabilities via policy-based resource provisioning across existing (“legacy”) and new infrastructure on-prem or public clouds. This can reduce time-to-market and increase application (or business) velocity. Indeed, the ability to scale rapidly remains dependent on eliminating tickets for resource provisioning and standardizing different types of infrastructure and platforms across domains (compute, networking, security) via APIs. At least until we live in an “ideal” world, where everything is truly cloud-native, and all software can scale up automatically.

Another facet of automation comes in the form of simplifying day-0 deployments. With applications becoming ever more abstracted from the infrastructure due to technologies such as Kubernetes, containers can become standard building blocks – useful when batch-deploying distributed, purpose-built, complex configuration stacks. This saves precious time IT operations teams would normally spend on manual tasks, especially now that bare metal containerization is en route to climbing the adoption curve. A significant contributor to simplification here, is being able to manage domains (data centers, clouds, networks etc.) from control points in the cloud.

Finally, taking advantage of insights and automation across the full stack for application, not only leads to cost reduction via better use of resources, but also ensures a superior user experience. Correlating telemetry data from distributed production platforms to the user experience and customer journeys means that previously unconnected infrastructure and application teams work better together to identify bottlenecks faster and stay ahead of problems.

The next phase of cloud

As we have been moving (slowly) from the “build” phase of cloud towards the phase of “consistency”, more recognize “cloud” is much broader than a delivery framework or destination. In a future that requires more than ever before carefully balancing innovation with optimum efficiency via laser-focused prioritization of investments, opportunities do not necessarily lie in bold technology investments, or the “next big thing.” Rather, they are found in a more esoteric optimization that also includes people and process. The output will be establishing new, tailor-made operating models to align strategic objectives with technology profiles in times of uncertainty.