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eG Innovations Supports Oracle Linux and Oracle VM

eG Innovations announced support for Oracle Linux and Oracle VM in its flagship offering, eG Enterprise.

"Our collaboration with Oracle helps provide customers with additional choices regarding interoperability and enables them to take advantage of the efficiency, performance and scalability of Oracle Linux and Oracle VM," said Bala Vaidhinathan, CTO, eG Innovations. "eG Enterprise enables customers to have 360-degree visibility to detect and report on potential issues for pre-emptive action within their Oracle Linux and Oracle VM environments."

The eG Monitor for Oracle VM correlates performance across the infrastructure including Oracle VM Server for x86, guest VMs, and Oracle Linux. Automatic virtualization-aware root-cause diagnosis enables administrators to gain insight and right-size their infrastructure for peak performance.

eG Innovations is a Silver level member of Oracle PartnerNetwork.

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eG Innovations Supports Oracle Linux and Oracle VM

eG Innovations announced support for Oracle Linux and Oracle VM in its flagship offering, eG Enterprise.

"Our collaboration with Oracle helps provide customers with additional choices regarding interoperability and enables them to take advantage of the efficiency, performance and scalability of Oracle Linux and Oracle VM," said Bala Vaidhinathan, CTO, eG Innovations. "eG Enterprise enables customers to have 360-degree visibility to detect and report on potential issues for pre-emptive action within their Oracle Linux and Oracle VM environments."

The eG Monitor for Oracle VM correlates performance across the infrastructure including Oracle VM Server for x86, guest VMs, and Oracle Linux. Automatic virtualization-aware root-cause diagnosis enables administrators to gain insight and right-size their infrastructure for peak performance.

eG Innovations is a Silver level member of Oracle PartnerNetwork.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

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As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...