Weekly CloudNews: Kubernetes, Cloud Complexity and Continuous Intelligence

Welcome to this week’s edition of CloudBolt’s Weekly CloudNews!

Earlier this week on our blog, Bernard Sanders posted the latest in his series of CloudBolt Quick Tip video blogs, this one on how the CloudBolt platform handles blueprints in remote source control systems.

Here at CloudBolt, we’re gearing up for the release of CloudBolt 9.0—Cumulus. If you want to learn more about what’s in the newest version of the product, sign up here for our webinar on Wednesday, Oct. 16 at 11 a.m. ET.

With that, onto this week’s news:

Kubernetes is bringing ‘multi cloud 2.0’

David Linthicum, InfoWorld, Sept. 20, 2019

“The “2.0” thing is getting a bit tiresome. It’s a common term our industry uses to indicate that something could be a game changer, but can we be a bit more innovative and creative?

In the case of multi cloud, the 1.0 version, which has emerged through the use of plural public cloud brands for most enterprises, the enterprise typically relies on a proprietary CMP (cloud management platform) or CSB (cloud services broker) to manage many cloud-native services using a single interface or abstraction, also known as a “single pane of glass.”

The “2.0 version” that’s emerging now is to move to a different type of multi cloud: one that uses federated Kubernetes as the means to manage containerized applications and data that run on different public cloud providers but are aware of each other.”

Enterprise cloud complexity making IT performance ‘extremely’ difficult to manage 

Shannon Williams, IT Brief, Sept. 19, 2019

“Digital transformation, migration to the enterprise cloud and increasing customer demands are creating a surge in IT complexity and the associated costs of managing it, according to a new study fringe software intelligence company, Dynatrace.

The Top Challenges for CIOs in a Software-Driven, Hybrid, Multi-Cloud World study found technical leaders around the world are concerned about the effect this has on IT performance and ultimately, their business. 

The research indicates that lost revenue (49%) and reputational damage (52%) are among the biggest concerns as businesses transform into software businesses and move to the cloud. And, as CIOs struggle to prevent these concerns from becoming reality, IT teams now spend 33% of their time dealing with digital performance problems, costing businesses an average of $3.3 million annually, compared to $2.5 million in 2018; an increase of 34%. 

To combat this, 88% of CIOs say AI will be critical to IT’s ability to master increasing complexity.”

Why this is the age of continuous intelligence

Adrian Bridgwater, Tech HQ, Sept. 16, 2019

“Until now, adopting cloud meant choosing a vendor, being locked in, having only one choice and facing an uphill battle integrating existing on-prem services. We launched Google Anthos to serve customers who want the option of running their workloads in the environments best suited to their needs,” said Jennifer Lin, Director of Product Management for Anthos at Google Cloud.

Customers using this kind of technology have called it a means of gaining continuous operational visibility into live running systems. Others have pointed to the use of cloud orchestration systems such as Kubernetes and said that use of Continuous Intelligence services allows them to correlate data sources to understand the full impact of vulnerable software artifacts as they exist across all operational environments— including Kubernetes.

What this leads us to is a new way of doing business in a new connected way where server-side cloud platform technologies are far more aware of user behavior… and, ultimately, therefore, more directly accountable for any customer’s market success. So it’s a connection point between economics and IT intelligence.”

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