Will real-time data processing replace batch processing?
At Confluent's user conference, Kafka co-creator Jay Kreps argued that stream processing would eventually supplant traditional methods of batch processing altogether.
Absolutely: Businesses operate in real-time and are looking to move their IT systems to real-time capabilities.
Eventually: Enterprises will adopt technology slowly, so batch processing will be around for several more years.
No way: Stream processing is a niche, and there will always be cases where batch processing is the only option.
Cloud Native Ecosystem / Containers / Kubernetes

Diamanti Extends Spektra for Multicluster and Multicloud K8 for Stateful Apps

Diamanti is extending the Kubernetes-management capabilities on its Spektra platform to accommodate multi-tenant and multicloud environments for stateful applications.
Jul 1st, 2020 3:00am by
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Diamanti is extending the Kubernetes-management capabilities on its Spektra platform to accommodate multitenant and multicloud environments for stateful applications.

Organizations will have a single panel to manage their Kubernetes deployments in multicloud and on-premises environments, with the general availability (GA) release of Spektra 3.0 by end of year, according to the company.

“At this point, we’re actually going the direction of supporting multiple clusters within this single pane of glass and control planes,” Brian Waldon, Diamanti vice president of product, told The New Stack.

Diamanti’s release also reflects tool providers’ ambitions to meet the needs of organizations seeking to manage multicloud and on-premises cloud native environments, while ensuring storage, database and other stateful applications are integrated into the mix as well.

Given that enterprises are “seeking to containerize more applications, including stateful ones, we expect continued growth of data-rich applications and services in containers, as well as expanded use of data services in container applications,” Jay Lyman, principal analyst, cloud native and DevOps, 451 Research (now part of S&P Global Market Intelligence), said.

Indeed, as stateful applications become increasingly containerized in cloud native and multicloud environments, demand to deploy Kubernetes across multiple and hybrid clouds and managing multiple Kubernetes clusters is also increasing.

Running a “true hybrid cloud experience across on-premises and in multiple clouds, while also supporting stateful applications,” was one of the problems Diamanti hopes to help solve with its Spektra 3.0 release, Diamanti vice president marketing Jenny Fong told The New Stack. This also includes the capability to “migrate and protect and replicate stateful applications from on-premises to the cloud and vice versa,” Fong said.

Previous versions of Spektra allowed organizations to take advantage of some of these capabilities described above, but were largely limited to the management of Diamanti clusters. “The key now is being able to do that between a Diamanti cluster, a kind of bring-your-own-infrastructure cluster and a public cloud cluster,” Fong said.

A key capability Spektra 3.0 offers is to help support organizations as they “get into the multicluster situation, when they typically have multiple tenants as well,” Fong said. “From the tenant perspective, if I’m a team member on a project, I access my view of the environment, which is what I’ve carved out, but I want to have the freedom to be able to decide where to deploy my applications as well as how to migrate them or even implement the idea of policy on them,” Fong said.

On the surface, it seems as if Diamanti’s release will allow organizations to take existing workloads and migrate them while supporting incumbent “statefulness issues,” Clive Longbottom, an analyst for Longbottom Associates, told The New Stack.

Other federated Kubernetes-management features Spektra 3.0 offers include:

  • Multicluster management across bare metal and public cloud: Diamanti Spektra will first add support for Microsoft Azure followed by Amazon Web Services (AWS) and Google Cloud Platform.

  • Policy-based multitenancy for enterprises and MSPs: Administrators can organize tenants and projects across multiple managed clusters.

  • Integrated application deployment migration, and disaster recovery for stateful applications: Project members have the ability to deploy and migrate applications and set stateful application policies for other managed clusters through a “single pane of glass.”

Diamanti and Amazon Web Services (AWS) are sponsors of The New Stack.

Feature image by Bryan Goff on Unsplash.

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