SentinelOne’s DataSet Kubernetes Explorer Aims to Centralize Container Monitoring

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SentinelOne Dataset responds directly to the fast-growing gig economy. As the core in-house IT toolset of SentinelOne, the maker of cybersecurity platforms, it also lives a different life as an independent contractor with its own customers and partners.

The Mountain View, California-based parent company today unveiled the latest addition to its DataSet suite: Kubernetes Explorer. This is designed to provide devops and engineering teams — always working on product iterations — a more effective way to understand and manage performance in complex, container-native Kubernetes environments, a key industry trend.

Kubernetes is a portable, extensible, open source platform—developed largely by Google a few years ago—for managing containerized workloads and services, enabling both declarative configuration and automation. It has a large, fast-growing ecosystem and Kubernetes Explorer is positioned to fit into this fast-growing market, Dataset GM Rahul Ravulu told VentureBeat.

Masses of fragmented, unstructured data and microservices in distributed, containerized applications create unnecessary administrative time and costs, not to mention data silos that are typically difficult to manage. The goal of DataSet Kubernetes Explorer is to simplify these challenges by providing real-time visibility into applications and infrastructure, Ravulu said.

Actionable data on one screen

This SaaS platform integrates statistics, metadata, events and contextual logs into a single console screen that is easy to manage. Using this visual tool, Kubernetes teams can more easily see and understand the interdependencies of Kubernetes components, identify performance issues, uncover root causes, and resolve them. Dataset Explorer provides an at-a-glance view of all Kubernetes clusters with the flexibility for users to zoom in on a particular cluster, namespace, nodes, pods, containers or deployed workloads in seconds, Ravulu said.

Not being able to observe such complex systems of Kubernetes clusters, containers, datastores and microservices can cost administrators time – and businesses ultimately money.

“Users will be able to very intuitively enable devops and SRE (site reliability engineering) teams to fix any errors,” Ravulu said. “This definitely falls into the ‘observability’ category, in terms of actually being able to find anomalies and identify root causes to fix anomalies as soon as they occur.”

Log monitoring, also known as log management, is becoming a critical part of building the next generation of IT infrastructure. According to KBV Research, the global log management market will grow to $3.3 billion by 2025, at a compound annual growth rate of 11% (CAGR).

Analyst’s View of Kubernetes

“Dynamic container platforms generate a large amount of fast-moving data,” said Paul Nashawaty, senior analyst at Enterprise Strategy Group, in a media advisory. “As organizations transition to Kubernetes, the ability to cost-effectively analyze events across the cloud stack, including applications, container platforms, and infrastructure, will become 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’re too slow to detect and respond in real time, too silos for actionable insights, too expensive to scale, and too complex to operate.

“Access to full-fidelity logs is a must in dynamic container environments to deliver a flawless application experience,” said Ravulu.

Dataset Kubernetes Explorer hit the market just months after SentinelOne launched its live enterprise platform. Explorer is now available in preview for current customers. Established providers in this space, according to G2include Splunk Enterprise, Datadog, Sumo Logic,, Dynatrace, LogDNA, New Relic One, Graylog, Progress WhatsUp Gold, and LogMonitor.

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