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Concurrent Introduces New APM Solution: Driven

Concurrent announced Driven, an application performance management product for Big Data applications.

Driven is built to address the pain points of enterprise application development and application performance management on Apache Hadoop.

There is strong demand for a solution that helps Hadoop users quickly get to the bottom of their data application failures and performance problems. Driven enables developers, data analysts, data scientists and operations to see key application metrics in real-time, so that they can isolate and resolve problems immediately. The end results are stable, highly reliable applications that enterprises can depend on to deliver against their Big Data strategies.

Driven provides visibility and control to Big Data applications developed, managed and deployed on Hadoop. Driven is a free cloud service and is an integral part of the Cascading community, where users can collaborate across organizations and get help from community experts.

Driven enables developers and enterprises to:

- Accelerate Time to Market: Reduce the time to application production with process visualization and monitoring capabilities. Quickly understand complex applications and data flows by drilling-down into each application at runtime through a rich user interface to accelerate your test-driven development cycle.

- Build Reliable Applications: Gain detailed insight into your data processing logic and algorithms, and ensure that they are executing properly. Key application metrics around each data process are surfaced to provide insights around data accuracy.

- Optimize Application Performance: Understand the performance and capacity of the applications running on your infrastructure. Key application behavior metrics, such as data skew and runtime parallelization, provide insights to application behavior. Also, compare with historical data to trend application performance whether in development or in production.

Chris Wensel, founder and CTO, Concurrent: “Driven is a powerful step forward in delivering on the full promise of connecting business with Big Data. Gone are the days when developers must dig through log files for clues to slow performance or failures of their data processing applications. The release of Driven further enables enterprise users to develop data oriented applications on Apache Hadoop in a more collaborative, streamlined fashion. Driven is the key to unlock enterprises’ ability to drive differentiation through data. There’s a lot more to come – this is only the beginning.”

Driven will be available in public beta this week, and is offered as a free cloud service as part of the Cascading community.

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Concurrent Introduces New APM Solution: Driven

Concurrent announced Driven, an application performance management product for Big Data applications.

Driven is built to address the pain points of enterprise application development and application performance management on Apache Hadoop.

There is strong demand for a solution that helps Hadoop users quickly get to the bottom of their data application failures and performance problems. Driven enables developers, data analysts, data scientists and operations to see key application metrics in real-time, so that they can isolate and resolve problems immediately. The end results are stable, highly reliable applications that enterprises can depend on to deliver against their Big Data strategies.

Driven provides visibility and control to Big Data applications developed, managed and deployed on Hadoop. Driven is a free cloud service and is an integral part of the Cascading community, where users can collaborate across organizations and get help from community experts.

Driven enables developers and enterprises to:

- Accelerate Time to Market: Reduce the time to application production with process visualization and monitoring capabilities. Quickly understand complex applications and data flows by drilling-down into each application at runtime through a rich user interface to accelerate your test-driven development cycle.

- Build Reliable Applications: Gain detailed insight into your data processing logic and algorithms, and ensure that they are executing properly. Key application metrics around each data process are surfaced to provide insights around data accuracy.

- Optimize Application Performance: Understand the performance and capacity of the applications running on your infrastructure. Key application behavior metrics, such as data skew and runtime parallelization, provide insights to application behavior. Also, compare with historical data to trend application performance whether in development or in production.

Chris Wensel, founder and CTO, Concurrent: “Driven is a powerful step forward in delivering on the full promise of connecting business with Big Data. Gone are the days when developers must dig through log files for clues to slow performance or failures of their data processing applications. The release of Driven further enables enterprise users to develop data oriented applications on Apache Hadoop in a more collaborative, streamlined fashion. Driven is the key to unlock enterprises’ ability to drive differentiation through data. There’s a lot more to come – this is only the beginning.”

Driven will be available in public beta this week, and is offered as a free cloud service as part of the Cascading community.

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IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

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