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HP Rolls Out Software Solutions for AWS Customers

HP announced the availability of several enterprise software solutions for Amazon Web Services (AWS), designed to help customers test applications and run big data analytics on AWS.

New AWS compatible solutions include:

- HP StormRunner Load and HP LoadRunner– Performance testing solutions that help Agile development teams accelerate application quality and delivery via a simple, intuitive and scalable platform.

- HP Vertica OnDemand and HP Vertica AMI – Big data analytics solutions that enable customers to leverage the HP Vertica data warehouse and optimize analytics for AWS Cloud and hardware environments.

HP StormRunner Load and HP LoadRunner for AWS

HP StormRunner Load is a new, cloud testing product that helps Agile development teams test, analyze and tune applications to ensure optimal end user experience and scalability of their apps across web and mobile platforms. Key benefits include:

- Intuitive user-experience – Enables developers and dev testers to easily and quickly create and run load tests in less than 10 minutes via a SaaS infrastructure

- Smart analytics – Uses machine learning to detect application anomalies under load in real time helping speed up dev and test cycles

- Cutting-edge scalability – Scales to more than a million virtual users in minutes from geographically distributed locations to test in pre-production and production environments, perfect for a DevOps enterprise

- Enhanced integration – Executes HP LoadRunner scripts as well as open source Apache JMeter scripts and HAR files, and integrates with open source WebPageTest to show client side response providing flexibility for agile teams

HP LoadRunner is an industry standard load testing solution that helps performance engineers and developers identify and resolve issues on demand across a variety of technologies from web and mobile to ERP and traditional back-ends. Key benefits include:

- Ease of use – integrated into the DevOps and agile tool chain giving performance engineers more control on testing by launching tests as part of development environment. Key integrations for continuous testing include: jUnit, nUnit, Eclipse®, Microsoft Visual Studio®, Selenium

- Enhanced speed – Drastically reduces the amount of time and skill required to simulate user transactions in load testing while providing deep analysis capabilities

- Advanced flexibility – Supports a wide variety of platforms including web, mobile , ERP/CRM and many other protocols

“HP StormRunner Load and HP LoadRunner on AWS are leading offerings for dev test environments, which organizations depend on to reduce the costs associated with application downtime and performance issues in production, as well as supporting continuous testing of web, mobile, and legacy technologies,” said Dave McCann, Vice President of AWS Marketplace, Amazon Web Services, Inc. “Listing HP’s products in AWS Marketplace makes it easier for customers to migrate more and more workloads to the cloud and use tools they are familiar with – all with frictionless procurement and fast deployment.”

“In today’s business environment enterprise developers need to quickly and easily access software to address application delivery and big data challenges to achieve strategic business goals,” said Raffi Margaliot, SVP & GM, Application Delivery Management, HP Software. “By delivering our products in AWS Marketplace, we are furthering our commitment to deliver tools that bridge the gap between traditional and cloud native environments in a hybrid infrastructure.”

AWS customers can now purchase HP’s performance testing solutions with frictionless procurement via 1-Click in AWS Marketplace. AWS users can consume HP LoadRunner at an hourly rate, paying as they scale their AWS resources.

HP Vertica OnDemand and HP Vertica AMI for AWS

HP Vertica OnDemand and HP Vertica AMI are now available on AWS. These offerings enable organizations to scale up and down based on the analytic demands of their enterprise and ensures maximum uptime to meet SLAs with Vertica’s trusted architecture.

- Improved agility and analytics – HP Vertica OnDemand provides a Data Warehouse as a Service (DWaaS) that enables organizations to get up and running in less than an hour and access high-performance, enterprise-class big data analytics.

- Simplification and rapid deployment – HP Vertica AMI allows customers to configure and install Vertica on Amazon Elastic Compute Cloud (Amazon EC2) instances. The solution simplifies cloud deployment with a virtual machine based AMI that includes Cloud Scripts for agile cluster management of AWS deployments.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

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In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

HP Rolls Out Software Solutions for AWS Customers

HP announced the availability of several enterprise software solutions for Amazon Web Services (AWS), designed to help customers test applications and run big data analytics on AWS.

New AWS compatible solutions include:

- HP StormRunner Load and HP LoadRunner– Performance testing solutions that help Agile development teams accelerate application quality and delivery via a simple, intuitive and scalable platform.

- HP Vertica OnDemand and HP Vertica AMI – Big data analytics solutions that enable customers to leverage the HP Vertica data warehouse and optimize analytics for AWS Cloud and hardware environments.

HP StormRunner Load and HP LoadRunner for AWS

HP StormRunner Load is a new, cloud testing product that helps Agile development teams test, analyze and tune applications to ensure optimal end user experience and scalability of their apps across web and mobile platforms. Key benefits include:

- Intuitive user-experience – Enables developers and dev testers to easily and quickly create and run load tests in less than 10 minutes via a SaaS infrastructure

- Smart analytics – Uses machine learning to detect application anomalies under load in real time helping speed up dev and test cycles

- Cutting-edge scalability – Scales to more than a million virtual users in minutes from geographically distributed locations to test in pre-production and production environments, perfect for a DevOps enterprise

- Enhanced integration – Executes HP LoadRunner scripts as well as open source Apache JMeter scripts and HAR files, and integrates with open source WebPageTest to show client side response providing flexibility for agile teams

HP LoadRunner is an industry standard load testing solution that helps performance engineers and developers identify and resolve issues on demand across a variety of technologies from web and mobile to ERP and traditional back-ends. Key benefits include:

- Ease of use – integrated into the DevOps and agile tool chain giving performance engineers more control on testing by launching tests as part of development environment. Key integrations for continuous testing include: jUnit, nUnit, Eclipse®, Microsoft Visual Studio®, Selenium

- Enhanced speed – Drastically reduces the amount of time and skill required to simulate user transactions in load testing while providing deep analysis capabilities

- Advanced flexibility – Supports a wide variety of platforms including web, mobile , ERP/CRM and many other protocols

“HP StormRunner Load and HP LoadRunner on AWS are leading offerings for dev test environments, which organizations depend on to reduce the costs associated with application downtime and performance issues in production, as well as supporting continuous testing of web, mobile, and legacy technologies,” said Dave McCann, Vice President of AWS Marketplace, Amazon Web Services, Inc. “Listing HP’s products in AWS Marketplace makes it easier for customers to migrate more and more workloads to the cloud and use tools they are familiar with – all with frictionless procurement and fast deployment.”

“In today’s business environment enterprise developers need to quickly and easily access software to address application delivery and big data challenges to achieve strategic business goals,” said Raffi Margaliot, SVP & GM, Application Delivery Management, HP Software. “By delivering our products in AWS Marketplace, we are furthering our commitment to deliver tools that bridge the gap between traditional and cloud native environments in a hybrid infrastructure.”

AWS customers can now purchase HP’s performance testing solutions with frictionless procurement via 1-Click in AWS Marketplace. AWS users can consume HP LoadRunner at an hourly rate, paying as they scale their AWS resources.

HP Vertica OnDemand and HP Vertica AMI for AWS

HP Vertica OnDemand and HP Vertica AMI are now available on AWS. These offerings enable organizations to scale up and down based on the analytic demands of their enterprise and ensures maximum uptime to meet SLAs with Vertica’s trusted architecture.

- Improved agility and analytics – HP Vertica OnDemand provides a Data Warehouse as a Service (DWaaS) that enables organizations to get up and running in less than an hour and access high-performance, enterprise-class big data analytics.

- Simplification and rapid deployment – HP Vertica AMI allows customers to configure and install Vertica on Amazon Elastic Compute Cloud (Amazon EC2) instances. The solution simplifies cloud deployment with a virtual machine based AMI that includes Cloud Scripts for agile cluster management of AWS deployments.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.