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Turbonomic to Preview Continuous Optimization of Kubernetes Services for DevOps at KubeCon + CloudNativeCon Barcelona

Turbonomic, the leader in workload automation for multicloud, will be previewing and demonstrating new platform innovations that will be available in an upcoming software release designed for DevOps teams operating Kubernetes and planning for growth on the platform, as part of Turbonomic's presence at KubeCon + CloudNativeCon Europe 2019 in Barcelona, Spain, May 20-23, 2019 (booth #P11). Turbonomic experts will be on-hand to share best practices for managing container growth and enabling DevOps to move at the speed of the business.

Organizations continue to prioritize IT modernization. Kubernetes plays a central role because it enables speed, agility and elasticity - at scale. According to Turbonomic's 2019 State of Multicloud report, 62 percent of respondents are on a journey to containers and cloud native computing. However, IT professionals and organizations eager to adopt containers and multicloud strategies often overlook and underestimate the complexity these technologies create.

DevOps and IT operations teams are facing increasing demand from more lines of business. The speed and ability to plan for this growth is critical to establishing frictionless adoption of platforms and practices. Turbonomic's AI-powered decision engine continuously optimizes Kubernetes services as part of their CI/CD pipeline. The sneak peek at Turbonomic's next software release (expected early Summer) will showcase these new capabilities that are critical for enterprises looking to scale on Kubernetes.

"As organizations prioritize speed and agility, how well they address the complexity containers introduce - at scale - will be a defining factor in their success," said Endre Sara, Vice President of Advanced Engineering at Turbonomic. "DevOps and application teams want to focus on driving innovation, delivering services, and assuring service levels. Turbonomic is maniacally focused on having software automatically optimize application resources, whether it's microservice applications running on Kubernetes across a multicloud infrastructure, or traditional applications running on-premises or in the cloud."

Published Tuesday, May 21, 2019 7:04 AM by David Marshall
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