Welcome!

@CloudExpo Authors: William Schmarzo, Elizabeth White, Liz McMillan, Pat Romanski, Yeshim Deniz

Related Topics: @DevOpsSummit, Containers Expo Blog, Agile Computing, @CloudExpo

@DevOpsSummit: Blog Feed Post

The Cloud Agility Race | @DevOpsSummit [#DevOps]

You can get my thoughts on Amazon's frontal assault on VMware and the VMware acquisition via the above links

The Cloud Agility Race: Implications for CIOs

Last week as I was writing Amazon Declares War on VMware, VMware was preparing to announce the acquisition of a pro services team to aid in cloud migration (see coverage in CRN): VMware Acquires Professional Services Firm To Boost Cloud Migration, DevOps Expertise.

You can get my thoughts on Amazon's frontal assault on VMware and the VMware acquisition via the above links as well as at Part Deux, or on the importance of agility at the VMblog Tea Garden Talk from VMworld (about 5 minutes in).

It was great to see that Amazon exec Andy Jassy championed agility at re:Invent.  GigaOm covered his comments:

"Andy Jassy, Amazon's SVP of web services, repeatedly invoked agility, not price, as a prime motivator for cloud." - Barb Darrow, Top 5 Lessons Learned at AWS Re:Invent

That raises the question of what the cloud agility race really means for the CIO.  Let me offer an equation as a starting point.

Calculating Hybrid Cloud Agility

VMware: Islands of Agility

VMware, for example, offers a high level of agility if you standardize on their platform. That takes me back to the Tea Garden talk and my discussion regarding the ecosystem of first generation cloud migration and DR tools; tools that work well for VMware environments. You could call this agility model islands of agility, because agility is pretty good within the confines of the platform.

Thinking beyond VMware

For those with physical or mixed workloads, the automation requirements escalate. For example, in the three critical questions (regarding cloud migration) I blogged about supporting physical and virtual workload migration, as well as live migration and the automation of the extension of critical network services.

Implications of the Agility Race: Emerging Cloud Competition

That equation then takes me back to the first blog about Amazon's Declaration of War on VMware.  If you think about the equation and its implications, it is strategically vital for AWS, Azure and a host of cloud service providers to compete on agility, to replicate what VMware has accomplished within its platform.  The agility race also creates an opening for the likes of Cisco, HP, Citrix, IBM and the emerging SDN players.

A new category of hybrid cloud automation players could be positioned to monetize agility for enterprise workloads across the clouds.  No need to make massive data center investments and compete directly with AWS and Azure in a race to the bottom.  Instead monetize the agility between them and others.

Recommended Reading

Three Years of Cloud Predictions - my take on the evolution of cloud, since 2012.

Our Cloud DR Story - InformationWeek on emerging best practices in the cloud

How the Cloud War will be Won - More on the coming consolidation in service providers and the rising importance of agility

Read the original blog entry...

More Stories By Greg Ness

Gregory Ness is the VP of Marketing of Vidder and has over 30 years of experience in marketing technology, B2B and consumer products and services. Prior to Vidder, he was VP of Marketing at cloud migration pioneer CloudVelox. Before CloudVelox he held marketing leadership positions at Vantage Data Centers, Infoblox (BLOX), BlueLane Technologies (VMW), Redline Networks (JNPR), IntruVert (INTC) and ShoreTel (SHOR). He has a BA from Reed College and an MA from The University of Texas at Austin. He has spoken on virtualization, networking, security and cloud computing topics at numerous conferences including CiscoLive, Interop and Future in Review.

CloudEXPO Stories
Industry after industry is under siege as companies embrace digital transformation (DX) to disrupt existing business models and disintermediate their competitor’s customer relationships. But what do we mean by “Digital Transformation”? The coupling of granular, real-time data (e.g., smartphones, connected devices, smart appliances, wearables, mobile commerce, video surveillance) with modern technologies (e.g., cloud native apps, big data architectures, hyper-converged technologies, artificial intelligence, blockchain) to enhance products, processes, and business-decision making with customer, product and operational insights.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throughout enterprises of all sizes.
CloudEXPO has been the M&A capital for Cloud companies for more than a decade with memorable acquisition news stories which came out of CloudEXPO expo floor. DevOpsSUMMIT New York faculty member Greg Bledsoe shared his views on IBM's Red Hat acquisition live from NASDAQ floor. Acquisition news was announced during CloudEXPO New York which took place November 12-13, 2019 in New York City.
OpsRamp is an enterprise IT operation platform provided by US-based OpsRamp, Inc. It provides SaaS services through support for increasingly complex cloud and hybrid computing environments from system operation to service management. The OpsRamp platform is a SaaS-based, multi-tenant solution that enables enterprise IT organizations and cloud service providers like JBS the flexibility and control they need to manage and monitor today's hybrid, multi-cloud infrastructure, applications, and workloads, including Microsoft Azure. We are excited to partner with JBS and look forward to a long and successful relationship.
The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems. Curriculum incorporates elements of data science, robotics, and machine learning-enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, software or hardware development, or doctoral degree in a sector poised for explosive growth.