The Foundation of Resilient Agile Innovation: Tame your Complex Hybrid/Multicloud Environment with Autonomous Cloud Operations

March 23, 2022 | 1:00 - 2:00 PM EDT

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The Foundation of Resilient Agile Innovation: Tame your Complex Hybrid/Multicloud Environment with Autonomous Cloud Operations

As complexity of cloud implementation is on the rise with hybrid, multicloud and distributed environments, so is the complexity around managing these new complex application and data workloads. The right approach to CloudOps is essential to achieve a comprehensive, smoothly running development and operations process. Discover how to accelerate innovation across plan, build, run and operate application lifecycle, and adopt mature cloud operations as-a-service to meet customer expectations and keep up with the competition.

Discuss challenges, new approaches and identify solutions for your CloudOps complexity with industry leaders and experts from Hitachi

Take Aways:

  • Complex hybrid and multicloud environments of today need modern automated approach to Cloud Operations (CloudOps) to guarantees an always-on business
  • Modern CloudOps has to expand from being just infrastructure management to workload management that includes infrastructure, applications and data across edge to core to clouds
  • Modern CloudOps has to be SRE led bringing DevSecOps closer to ITOps driving an end-to-end workload management across plan, build, run and operate workloads. This can be achieved by the intertwined approach of
    • Design for Reliability - For example, agility is designed in by expanding SLO/SLIs, improving SLAs, and systematically attacking toil, while also improving development and service management practices in an environment of expanded visibility.
    • Design for Cost - By applying a FinOps framework where companies can constantly be gaining the advantage of controlling costs by expanding the visibility of where the spend happens, operating with control to squeeze out waste, reducing risk using automation, monitoring, and alerts.
    • Run to Optimize - At the highest level, AIOps is introduced to find patterns of defects that can be found once but fixed everywhere. The ultimate goal is to move closer to autonomous monitoring, management, and operations.

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