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CA Technologies Acquires Grid-Tools

Acquisition extends CA’s DevOps portfolio, enables automated testing of software for faster development and time to market

CA Technologies has acquired Grid Tools Ltd., a provider of enterprise test data management, automated test design and optimization software solutions. Terms of the transaction were not disclosed.

The acquisition of privately-held Grid-Tools will enable CA Technologies to expand its DevOps portfolio with an enhanced focus on quality acceleration.

Grid-Tools solutions allow organizations to significantly accelerate their quality lifecycle by providing greater test coverage, faster test creation and repeatable test execution for software assets, while considerably reducing the time and resources required to bring products to market.

“The global application economy requires our customers to deliver higher quality applications faster than ever before. Legacy testing tools and reliance on manual testing are not suited for the speed and number of changes necessary to achieve continuous delivery,” said Jacob Lamm, EVP, Strategy and Corporate Development, CA Technologies. “Adding Grid-Tools’ leading test solutions, development and test teams can accelerate the entire lifecycle while freeing up valuable resources to perform more value added activities.”

To address DevOps challenges, CA Technologies offers comprehensive CD solutions that allow organizations to:

- Adopt a model based approach to generating test cases and a test data management toolset, providing greater coverage that results in delivering a better user experience;

- Achieve true CD by testing every code change automatically across the entire promotion path; and

- Free up development and quality assurance resources previously engaged in test data and test case creation to perform more productive tasks, like new code development.

“Our customers have seen dramatic reductions in release test cycles and time required to fix defects while increasing quality of their applications,” said Huw Price, Co-Founder of Grid-Tools. “The combination of CA Technologies and Grid-Tools provides enterprises with a strong option to bring testing to the next level by removing bottlenecks in their software development lifecycle.”

Founded in 2004, Grid-Tools has offices in Oxford, U.K. and New York.

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CA Technologies Acquires Grid-Tools

Acquisition extends CA’s DevOps portfolio, enables automated testing of software for faster development and time to market

CA Technologies has acquired Grid Tools Ltd., a provider of enterprise test data management, automated test design and optimization software solutions. Terms of the transaction were not disclosed.

The acquisition of privately-held Grid-Tools will enable CA Technologies to expand its DevOps portfolio with an enhanced focus on quality acceleration.

Grid-Tools solutions allow organizations to significantly accelerate their quality lifecycle by providing greater test coverage, faster test creation and repeatable test execution for software assets, while considerably reducing the time and resources required to bring products to market.

“The global application economy requires our customers to deliver higher quality applications faster than ever before. Legacy testing tools and reliance on manual testing are not suited for the speed and number of changes necessary to achieve continuous delivery,” said Jacob Lamm, EVP, Strategy and Corporate Development, CA Technologies. “Adding Grid-Tools’ leading test solutions, development and test teams can accelerate the entire lifecycle while freeing up valuable resources to perform more value added activities.”

To address DevOps challenges, CA Technologies offers comprehensive CD solutions that allow organizations to:

- Adopt a model based approach to generating test cases and a test data management toolset, providing greater coverage that results in delivering a better user experience;

- Achieve true CD by testing every code change automatically across the entire promotion path; and

- Free up development and quality assurance resources previously engaged in test data and test case creation to perform more productive tasks, like new code development.

“Our customers have seen dramatic reductions in release test cycles and time required to fix defects while increasing quality of their applications,” said Huw Price, Co-Founder of Grid-Tools. “The combination of CA Technologies and Grid-Tools provides enterprises with a strong option to bring testing to the next level by removing bottlenecks in their software development lifecycle.”

Founded in 2004, Grid-Tools has offices in Oxford, U.K. and New York.

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A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...