Cloud management and operations

Trend 3 – CMP platforms empower developers to be more agile and facilitate a DevSecOps mode of operation

Enterprises on the digital journey are quick to embrace DevSecOps methodologies to accelerate the development and rollout of business solutions. The speed and innovation required to meet an enterprise’s expectations can be delivered, for the most part, by hyperscale providers. While it is easy for developers to consume services through a hyperscaler’s native interface, enterprises must ensure that services delivered meet enterprise governance, compliance and regulatory requirements. Enterprise-grade cloud management platforms (CMPs) ensure that services subscribed through the platform adhere to enterprise requirements to allow developers to expand their solution confidently.

CMPs provide a wrapper of a smart catalog and identify cost-effective and optimized services from the right hyperscaler through the use of AI and ML capabilities. These platforms allow developers to tap into hyperscaler innovations, without any constraints, and act as a guardian rather than as a gatekeeper, which slows down innovation and delivery.

Infosys partnered with a top investment firm to deploy a cloud management and operations platform that provides flexibility to developers on the selection of services. It allows developers to consume services without depending on operate teams to track the compliance parameters. This approach helped increase the productivity of developers and freed the bandwidth of the cloud operate team.

Cloud management and operations

Trend 4 – Amplified automation and multi-cloud observability provide the highest level of business service reliability and resiliency

Cloud operations are shifting to managed hybrid models that encompass services delivered on the public, private and edge cloud. CMPs enhance their observation capabilities to identify and resolve operational issues and help improve application reliability. By utilizing AI and ML capabilities, the observability platforms can take preemptive actions to minimize incident occurrence. Furthermore, through continuous learning in ML models, the platform automatically resolves issues with higher accuracy which, in turn, creates a near-ideal self-healing system. Together, observability and AI-based amplified automation help cloud operations eliminate mundane level 1 and level 2 tasks so that teams can spend more time on delivering innovation and value-added services.

With the Infosys Polycloud Platform, we have automated up to 80% of level 1 and level 2 tasks and reduced the number of incidents by 50% in most cases.

To provide an intuitive and developer-friendly interface, CMPs expose services as APIs and provide command-line interfaces such as kubectl. These interfaces bring infrastructure as code features to provide a full spectrum of services, from bare metal provisioning to Kubernetes cluster creation, along with infrastructure component configurations such as firewalls, switches and load balancers.

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