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Rethinking support models for a cloud native world

2021-04-07 18:11:10| The Webmail Blog

Rethinking support models for a cloud native world nellmarie.colman Wed, 04/07/2021 - 11:11   Most IT teams fall somewhere in-between traditional IT Operations and modern, cloud native ways of doing things. The defining characteristics of traditional IT operations include: clear handoffs between build and operate, emphasized infrastructure and operations and a waterfall development and release approach. To evolve to a cloud native operating model, there need to be no boundaries between build and operate. This is where DevOps comes in. A DevOps approach blurs the line between build and operate and enables you to drive real outcomes. And as part of the shift towards cloud native, the focus should move further up the stack to applications, allowing these to dictate infrastructure decisions rather than the other way around. Think of it as having applications in the drivers seat, with infrastructure along for the ride.   Shackled to old ways Many businesses are still operating in the cloud as if it were a data center. We often get questions about patching and backups, which are concepts that should be handled very differently in a cloud native application than one running in your data center. To reach the pure cloud native nirvana state, customers need to make a more conscious effort to move away from a traditional VM-centric approach. Part of the problem is that you are probably being held back by your MSP partners. Traditional MSPs were built for the old world and theres no incentive for them to encourage your evolution. They are set up to fill the gaps in functional areas between build and operate silos and have narrowly defined and SLA-driven scopes. The truth is the IT support model is constrained to fit inside the boundaries of the past.   How MSPs can encourage evolution As businesses move towards a cloud native model, they start to build highly accountable small teams that are responsible for the application's full lifecycle. Support models need to shift to provide services that properly support those teams. These services should look more like engineering services and less like a pure operations play. And these engineering services should deliver against a customers initiatives rather than arbitrary SLAs. The nature of cloud engineering work means it should be an ongoing engagement. There's always something that can be automated or fixed. Support models need to be flexible, and they should be able to seamlessly integrate with customer teams. Only then can an MSP be fully aligned with customer goals and provide enhancements the right way.   Slowly let go of the past Evolving IT organizations need a modern cloud support model that is free from the siloed boundaries of the past, emphasizes applications over infrastructure and guides their teams toward an agile, DevOps-driven approach to IT operations. It should also be the responsibility of MSPs to help customers remove VM management from each application that becomes more and more cloud native. The older VM management tasks will need a high level of support to make sure they are handled correctly but with integrated and highly specialized teams on the same mission, the path towards cloud native will become much clearer.   How can Rackspace Technology support this emerging world? The evolution to cloud native requires a new way of thinking. Rackspace Elastic Engineering aims to revolutionize the support model and drive your outcomes as you evolve to cloud native. With Elastic Engineering, you get on-demand access to a pod of cloud engineers for ongoing infrastructure and DevOps engineering. You set the outcomes and control the roadmap and the pod delivers via a do with approach, partnering with your internal operations and development teams in an agile sprint-based model. And you always work with the same dedicated pod who knows your environment and your goals. Our dedicated team of multi-disciplinary cloud experts will support a broad range of outcomes including migrations, architecture, automation, optimization, reliability and security. The elastic in Elastic Engineering comes from the premise that with a multidisciplinary set of capabilities your agile Pod can stretch and shape to deliver your cloud outcomes.   Rethinking support models for a cloud native worldThe evolution to cloud native can transform your business, but old support models can hold you back. Discover how to revolutionize your support model and accelerate your cloud native journey. Revolutionize your support model. https://events.rackspace.com/fundamental-shift/Discover Elastic Engineering IT TransformationProfessional ServicesCloud InsightsJosh PrewittRethinking support models for a cloud native worldApril 7, 2021

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Porsche updates first Porsche Taycan models with free software update

2021-03-25 09:55:34| Green Car Congress

Tags: free software update updates

 
 

Hyundai adds 2022 Tucson Plug-In Hybrid and N Line models

2021-03-17 09:55:37| Green Car Congress

Tags: line models adds hybrid

 

Aston Martin's electric sports models to be made at Gaydon plant

2021-03-07 18:52:48| BBC News | Business | UK Edition

The luxury car manufacturer says its battery-powered sports cars will be made in Warwickshire.

Tags: made sports models plant

 

Physics versus machine learning models

2021-02-27 09:12:08| Oil IT Journal - www.oilit.com

AAPG/SEG/SPE Energy in Data webinar hears from Hess on data-driven models in shale exploration. Corva on ROP drilling prediction. Schlumberger use both ML and physics! Xecta don't use ML on small data! Data-driven reserves reporting for anyone?

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