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SentinelOne’s dataset plays directly into the developing gig economy. As the leading set of in-house IT teams at cybersecurity platform maker SentinelOne, he also lives another life as an independent contractor with his own consumers and partners.
The Mountain View, California-based parent company unveiled the latest addition to its DataSet package: Kubernetes Explorer. This is designed to provide engineering and progression groups, still running product iterations, with a more effective way to perceive and manage functionality in on-premises and complex Kubernetes container environments, a major trend in the industry.
Kubernetes is a portable, extensible, open-source platform, developed primarily at Google a few years ago, for managing containerized workloads and services, making declarative configuration and automation easier. It has a broad and developing ecosystem and Kubernetes Explorer is well placed to adapt to this booming market, Rahul Ravulur, CEO of Dataset, told VentureBeat.
Large amounts of microservices and fragmented, unstructured knowledge in distributed and containerized programs generate unnecessary administrative time and costs, not to mention knowledge silos that are difficult to manage. The purpose of DataSet Kubernetes Explorer is to simplify those demanding situations by providing real-time visibility. in programs and infrastructure, Ravulur said.
This SaaS platform integrates metrics, metadata, events, and contextual logs into a single console screen for simple management. With this visual tool, Kubernetes groups can more easily see and perceive the interdependencies of Kubernetes components, stumble upon functionality issues, notice root causes, and them, Ravulur said. Dataset Explorer provides a review of all Kubernetes clusters with the ability for users to explore a deployed cluster, namespace, nodes, pods, containers or workloads in seconds, Ravulur said.
Not having global observability in such complex kubernetes cluster, container, knowledge warehouse, and microservice systems can cost managers and, in the end, enterprises time.
“Users will very intuitively allow the devops and SRE (Site Reliskill Engineering) groups to resolve any errors that may occur as well,” Ravulur said. locate abnormalities and identify the disorders that cause the disorders in order to interfere with and correct the abnormalities as they occur. “
Log monitoring, also known as log control, is a component of building a next-generation IT infrastructure. According to KBV Research, the global newspaper control market will be successful at $3. 3 billion through 2025, with a compound annual expansion rate (CAGR) of 11%.
“Dynamic containerized platforms generate a giant volume of fast-moving data,” Paul Nashawaty, senior analyst at Enterprise Strategy Group, said in a media advisory. the cloud stack, adding applications, container platforms, and infrastructure, will be the norm, not the exception. “
Traditional data platforms were designed decades ago, in the pre-cloud era. He said they don’t work for modern environments because they are too slow to stumble upon and react in real time, too isolated to get useful information, too expensive to scale and too complex to operate.
“Access to complete constancy records is imperative in dynamic container environments to deliver a seamless application experience,” ravulur said.
The Kubernetes Explorer dataset hit the market just a few months after SentinelOne unveiled its live business platform. Explorer is now available as a preview for existing customers. According to G2, established vendors in this area include Splunk Enterprise, Datadog, Sumo Logic, Logz . io, Dynatrace, LogDNA, New Relic One, Graylog, Progress WhatsUp Gold, and LogMonitor.
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