Solid AI Introduces Cloud Safety Insights for Kubernetes


Cloud price administration platform supplier Solid AI has launched Cloud Safety Insights, a free safety evaluation software that integrates into a corporation’s AI-driven cloud optimization platform.

The platform, which is free for all customers, goals to assist DevOps and DevSecOps groups handle cloud sources, cloud optimization, and Kubernetes safety.

It represents the second pillar of Solid AI’s autonomous Kubernetes administration platform, including to the suite of instruments for automating Kubernetes price discount, cloud useful resource provisioning, and safety monitoring throughout Google Cloud, Amazon Internet Companies (AWS), and Microsoft Azure.

The seller-independent platform gives customers with absolutely automated experiences containing Kubernetes configuration checks, which assist guarantee clusters are configured in response to finest practices for pods and workloads. The person interface gives particulars on particular person checks and sources.

The platform additionally presents vulnerability scans for an outline of potential points which may seem because of container photos downloaded from public registries, in addition to 24/7 visibility into Kubernetes cluster configurations.

As well as, container picture vulnerability detection and safety suggestions might be organized and offered so as of precedence. Different options assist customers obtain safety and regulatory compliance and supply a standard platform for safety and growth workforce integration and collaboration.

“Along with complete price monitoring, you are now supplied with individually tailor-made safety suggestions to mitigate cloud native workload safety points,” explains Solid AI co-founder and CPO Laurent Gil. “You simply must create an account and join your AWS, Google, or Azure Kubernetes apps.”

Gil provides that Cloud Safety Insights can be utilized for multicloud or single-cloud environments, offering the identical safety alerts and insights no matter which cloud suppliers the group makes use of viaa frequent and easy management airplane.

Native instruments can deal with these duties, in fact. Microsoft presents Microsoft Defender for Containers, for instance, which covers extra however prices $7 per CPU per digital machine. It additionally requires prospects to put in an agent on their sources.

Google Cloud runs a vulnerability evaluation service
for photos at a worth of 26 cents per scanned container picture, whereas safety for Kubernetes contains this service and vulnerability evaluation within the pre-general launch.

“Nonetheless, we already see that we’re in a position to detect many extra finest practices violations,” Gil asserts. “The worth is within the platform — Safety Insights and cloud optimization makes your purposes safe and autonomous on the identical time, with an immediate place ROI.”

Briefly, Gil says customers get a “highly effective and full” perception on Kubernetes safety monitoring, plus an immediate ROI the place the price of Solid AI is at all times a fraction of the financial savings advantages.

“Purposes now run securely and autonomously, with immediate rightsizing and one of many quickest autoscalers on the planet,” he provides.

Kubernetes Environments Pose A number of Problem

Mike Parkin, senior technical engineer at Vulcan Cyber, a supplier of SaaS for enterprise cyber danger remediation, factors out that Kubernetes (aka k8s) environments have a number of particular challenges.

“These embrace compromised photos, visibility into the setting, establishing and sustaining safe configurations, and a variety of different issues associated to securing containerized photos within the cloud,” he explains.

Something that may assist a safety operations workforce consolidate their instruments and provides them extra context and readability helps, he provides.

“That is the case whether or not it is within the type of a single targeted software that covers a number of facets of a deployment or a danger administration software that brings different instruments collectively,” Parkin says.

As a deployment orchestrator, Kubernetes will dominate a corporation’s alignment challenges, whether or not hybrid/multicloud or information center-based, says John Steven, CTO at automated menace modeling supplier ThreatModeler.

“Certainly, the purpose of Kubernetes is to summary away the underlying infrastructure administration, changing it with its personal scheme,” he says. He explains that managed Kubernetes options simplify scale out as a result of the cloud service supplier’s (CSP) management of underlying infrastructure makes it seem infinite.

Managed options additionally make incorporating key CSP-specific providers, comparable to Listing Companies, Persistence Options, or Studying APIs, right into a Kubernetes utility simpler and safer, he says.

“Nonetheless, organizations can even really feel like managed k8s is shackling — tying them to a selected supplier by configuration, service, and administration idiosyncrasies,” Steven says.

He notes that organizations with exceptionally excessive uptime necessities could wrestle to offer multicloud resilience towards failure of a single CSP availability zone or area.

“In observe, managed k8s trades the complexity of multicloud k8s for the idiosyncrasy and lock-in of managing a single cloud,” Steven says. “Given the above, it is strategic for safety options to focus on k8s. Offering visibility into clusters meets a vital want.”

Steven provides that multiple startup has suffered multiday outage as a result of k8s misconfiguration knocked a vital enterprise operate offline or as a result of storage, reminiscence, or compute allotment claims outlined too low a ceiling for peak utilization throughout heavy use.

“If companies start to view k8s as an unreliable platform — even when [it’s] as a result of they do not have the experience to wield it — they are going to transfer to easier options,” he says.



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