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Virtana Platform Now Available in AWS Marketplace

Virtana announced the availability of Virtana Platform in AWS Marketplace.

The digital catalog with thousands of software listings from independent software vendors (ISVs) makes it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).

Virtana Platform's delivery in AWS Marketplace gives Global 2000 enterprises the precise data-driven ability to identify, de-risk, and prioritize workloads, accelerating the migration of the right workloads at the right time in an optimized form to the cloud.

Virtana Platform is a modern SaaS solution, built for modularity, scalability, and flexibility. The platform consists of several use case-specific modules, including:

- Migrate: This module leverages the robust application discovery and granular workload profiling capabilities of the Observe agentless data collector. The solution provides a deep understanding of application dependencies, the associated infrastructure resource utilization, and a migration complexity analysis. Virtana Migrate enables 'workload to infrastructure' right-sizing, cloud 'instance' recommendations, and cross-cloud cost forecasting.

- Optimize:This module provides ongoing cloud cost optimization with a unique focus on performance, risk, and costone customer reduced cloud costs by 30% after just 10 days. Virtana Optimize provides continuous bill analysis to alert on unexpected changes that drive up cloud spend, as well as a unified view of actionable saving recommendations. Its advanced 'What If' analysis engine delivers the ability to manage the balance between performance, risk, and cost through policy based right-sizing. In addition, the per-instance visibility into programmatic discounts, data transfer fees, and instance utilization provide a near real-time understanding of the true costs of your cloud entities.

Access to Virtana Platform in AWS Marketplace provides customers with a scalable way to optimize and speed their cloud migrations, said Mona Chadha, Director, AWS Marketplace Category Management at AWS. Customers can leverage on-prem application discovery and profiling, dependency mapping and migration planning, cloud right-sizing, and cost optimization at the touch of a button.

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

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AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Virtana Platform Now Available in AWS Marketplace

Virtana announced the availability of Virtana Platform in AWS Marketplace.

The digital catalog with thousands of software listings from independent software vendors (ISVs) makes it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS).

Virtana Platform's delivery in AWS Marketplace gives Global 2000 enterprises the precise data-driven ability to identify, de-risk, and prioritize workloads, accelerating the migration of the right workloads at the right time in an optimized form to the cloud.

Virtana Platform is a modern SaaS solution, built for modularity, scalability, and flexibility. The platform consists of several use case-specific modules, including:

- Migrate: This module leverages the robust application discovery and granular workload profiling capabilities of the Observe agentless data collector. The solution provides a deep understanding of application dependencies, the associated infrastructure resource utilization, and a migration complexity analysis. Virtana Migrate enables 'workload to infrastructure' right-sizing, cloud 'instance' recommendations, and cross-cloud cost forecasting.

- Optimize:This module provides ongoing cloud cost optimization with a unique focus on performance, risk, and costone customer reduced cloud costs by 30% after just 10 days. Virtana Optimize provides continuous bill analysis to alert on unexpected changes that drive up cloud spend, as well as a unified view of actionable saving recommendations. Its advanced 'What If' analysis engine delivers the ability to manage the balance between performance, risk, and cost through policy based right-sizing. In addition, the per-instance visibility into programmatic discounts, data transfer fees, and instance utilization provide a near real-time understanding of the true costs of your cloud entities.

Access to Virtana Platform in AWS Marketplace provides customers with a scalable way to optimize and speed their cloud migrations, said Mona Chadha, Director, AWS Marketplace Category Management at AWS. Customers can leverage on-prem application discovery and profiling, dependency mapping and migration planning, cloud right-sizing, and cost optimization at the touch of a button.

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...