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It’s Time to Embrace AI and Machine Learning in Cloud DevOps and Integrations

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Machine Learning and Artificial Intelligence Will Deliver Cost Savings Through Greater Cloud Efficiencies

Enterprises are looking for applications and Cloud Service Providers to help them operate more efficiently through the use of Machine Learning (ML) and Artificial Intelligence (AI) to deliver more effective resource management. Achieving this will require the environment or application to understand when it needs more resources and then automatically scaling up those resources to meet the increased demand. Conversely, the technology will need to understand when specific resources are no longer needed and safely turn them off to minimize costs. Today such dynamic resource allocation can be unreliable or must employ an inefficient manual process, forcing Cloud customers to either spend more than necessary or fall short of meeting service levels during periods of peak demand.

Read more: The Future of Work’s Most Crucial Component: Artificial Intelligence

DevOps Will Transition Companies to Cloud-Native Implementations

Enterprises will seek to take full advantage of the Cloud’s agility by re-architecting their application/technology stacks to optimize them specifically for the Cloud environment. IT departments regularly use a “lift and shift” approach to migrating applications to the Cloud, but the effort still requires some changes to ensure meeting desired service levels owing to some differences between private and public infrastructures. After the initial wave of migration to the Cloud is optimized, DevOps will drive re-architecting their application/technology stacks to a Cloud-native implementation to take further advantage of the Cloud’s greater efficiency, reliability, scalability, and affordability.

Application Vendors Will Architect HA and DR into Their Core Solutions

Application vendors will endeavor to deliver greater value and higher reliability by integrating core high availability (HA) and disaster recovery (DR) features into their solutions. Most applications today require the customer to provide these protections separately, and most organizations do this for all their applications with a general-purpose HA/DR solution. With HA and/or DR built into an application as a standard feature, customers will be able to simply deploy it on any platform in a private, purely public or hybrid Cloud environment. This will be especially beneficial for smaller organizations that normally lack the expertise or resources needed to implement and operate configurations capable of eliminating all single points of failure. For Cloud-native implementations, the application vendor will want to take full advantage of the resiliency afforded by the Cloud’s multiple availability zones and regions.

DBaaS and Cloud Will Become the Preferred Platform for Database Deployments

IT organizations have traditionally chosen to implement critical databases and applications in their own datacenters, where the staff retains full control over the environment. As the platforms offered by Cloud Service Providers (CSPs) have matured, the Cloud has become commercially viable for hosting critical applications, as well as Database-as-a-Service (DBaaS). This viability is true even for complete suites, such as SAP, that span virtually all of an organization’s departments and all of its business functions This change will put greater focus on reliability, availability, and performance of the applications, and make the Cloud more strategically important to companies. For CSPs who deliver greater resilience through availability zones and geographic diversity, it will be a way to secure long-term engagements with customers.

Resellers and System Integrators Will Play an Increasingly Vital Role as Critical Applications Move to the Cloud

As the migration of enterprise applications to the Cloud accelerates and matures, the need to ensure mission-critical high availability (HA) will create opportunities for resellers and system integrators. This window of opportunity is forming as enterprises seek more robust HA solutions that have yet to be fully integrated into the application and system software. Some system integrators may have the expertise and resources needed to leverage open-source software in their Linux offerings. But an increasing percentage will choose to integrate solutions purpose-built to provide HA and disaster recovery protection, as these have proven to be more dependable for the customer, while also being just as (if not more) profitable for the integrator.

Read more: Hot Air: When to Choose Local Compute Over Cloud for Your Deep Learning Applications

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