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Panzura Releases Log Analytics Service

Panzura announced the immediate availability of its Log Analytics Service (LAS) within the Vizion.ai platform.

Based on Vizion.ai Block Object Storage technology (VBOS), Log Analytics Service solves the growing IT challenge of ingesting, storing, analyzing and managing rapidly expanding log data sets across the organization.

LAS is available on Vizion.ai, a powerful multi-cloud data services platform delivering data search, analytics and insights at an affordable price.

Vizion.ai allows users to leverage the power of Elasticsearch while freeing IT staff from managing nodes, shards, replicas, tiering and other deployment details by abstracting the infrastructure layer. Vizion.ai ensures long-tail, always-on data access and delivers peace of mind to IT teams. Customers do not have to make the trade-off between keeping the logs they want or keeping only what they can afford, compromising data compliance and security requirements. Vizion.ai empowers IT operations to address log retention and compliance needs while lowering costs up to 75 percent.

Key differentiators of Vizion.ai include:

- Five minute visualization - Visualize your data in less than five minutes and customize your alerts

- Never delete data - Never delete or take your data offline so it is always available for search, analytics and machine learning

- Flexible deployment - Choose your managed service option of private or public cloud based on security, compliance and big data requirements with one-click deployment of Elasticsearch/ELK and Vizion.ai apps, dashboards and connectors

“The core advantage of our Log Analytics Service is the Vizion.ai block object storage,” said Geoff Tudor, VP and GM, Vizion.ai at Panzura. “This allows enterprises to save logs for a longer period of time without becoming too costly. Data is kept hot and searchable but is stored on low-cost object storage which is typically 10x cheaper than machine data stored on flash. This not only adds value to the enterprise, but it also reduces the cost of storage and allows for larger, searchable data sets.”

Customers leverage the Vizion.ai platform for use cases such as system health monitoring, application performance monitoring, real-time incident response, security information and event management (SIEM), IoT and more. Building on the successful launch of File Search Service and Vizion.ai for Elasticsearch, the launch of Vizion.ai Log Analytics Service further delivers customer value by solving a critical customer need for log management.

Vizion.ai offers a free community tier of service of 1GB per day ingestion and 30 GB of storage. Additional paid plans are available.

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Panzura Releases Log Analytics Service

Panzura announced the immediate availability of its Log Analytics Service (LAS) within the Vizion.ai platform.

Based on Vizion.ai Block Object Storage technology (VBOS), Log Analytics Service solves the growing IT challenge of ingesting, storing, analyzing and managing rapidly expanding log data sets across the organization.

LAS is available on Vizion.ai, a powerful multi-cloud data services platform delivering data search, analytics and insights at an affordable price.

Vizion.ai allows users to leverage the power of Elasticsearch while freeing IT staff from managing nodes, shards, replicas, tiering and other deployment details by abstracting the infrastructure layer. Vizion.ai ensures long-tail, always-on data access and delivers peace of mind to IT teams. Customers do not have to make the trade-off between keeping the logs they want or keeping only what they can afford, compromising data compliance and security requirements. Vizion.ai empowers IT operations to address log retention and compliance needs while lowering costs up to 75 percent.

Key differentiators of Vizion.ai include:

- Five minute visualization - Visualize your data in less than five minutes and customize your alerts

- Never delete data - Never delete or take your data offline so it is always available for search, analytics and machine learning

- Flexible deployment - Choose your managed service option of private or public cloud based on security, compliance and big data requirements with one-click deployment of Elasticsearch/ELK and Vizion.ai apps, dashboards and connectors

“The core advantage of our Log Analytics Service is the Vizion.ai block object storage,” said Geoff Tudor, VP and GM, Vizion.ai at Panzura. “This allows enterprises to save logs for a longer period of time without becoming too costly. Data is kept hot and searchable but is stored on low-cost object storage which is typically 10x cheaper than machine data stored on flash. This not only adds value to the enterprise, but it also reduces the cost of storage and allows for larger, searchable data sets.”

Customers leverage the Vizion.ai platform for use cases such as system health monitoring, application performance monitoring, real-time incident response, security information and event management (SIEM), IoT and more. Building on the successful launch of File Search Service and Vizion.ai for Elasticsearch, the launch of Vizion.ai Log Analytics Service further delivers customer value by solving a critical customer need for log management.

Vizion.ai offers a free community tier of service of 1GB per day ingestion and 30 GB of storage. Additional paid plans are available.

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

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 ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...