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Concurrent Announces Driven 2.0

Concurrent announced the latest release of Driven, an application performance management solution for monitoring and managing enterprise-scale Big Data applications.

Driven 2.0 enabes application performance monitoring and management across heterogeneous Hadoop and Spark environments within a single, comprehensive solution.

As industries identify and continue to refine Big Data use cases, new development frameworks, tools, technologies and compute engines proliferate to allow project teams to implement the best solution for their specific use case. However, with more choice comes greater complexity. This is creating new requirements for DevOps, data operations, development teams and data professionals, who need visibility, measurement and control of data processing performance at scale.

Driven 2.0 ensures the highest fidelity and richest detail for application performance monitoring, troubleshooting, dependency tracking and service-level adherence of Apache Hive, MapReduce, Cascading, Scalding and, with today’s new release, Spark applications. No other single solution on the market delivers this level of coverage to empower teams with continuous visibility and traceability from development through production.

Key features of Driven 2.0 include:

- Support for Apache Spark: Enterprises can now seamlessly and transparently collect all the operational intelligence for Apache Spark applications in Driven. Currently in beta, new Spark support provides the comprehensive performance management required to deliver and maintain production Spark data processes.

- Redesigned application analytics and custom views: Driven delivers new capabilities to segment operational metadata and create customized views and dashboards for more concise information delivery to the enterprise user. Additionally, Driven features new and more comprehensive visualization and navigation of applications for a highly intuitive view of all applications and transaction history. Users now have the ability to drill down in real time or to specific time periods in history and view the health of an application or clusters or the processes associated with a specific organization.

- Deeper search capabilities: Because data processes can be unwieldy and complex, comprised of hundreds of steps, pinpointing where something was executed or went wrong in an application can be time consuming and expensive. Whether fulfilling an audit request, debugging an application, looking for a slow down or searching for dependencies, the new search capabilities in Driven enable enterprise users to quickly find specific units of work and progress to satisfy their needs.

Driven delivers benefits to the enterprise including accelerated application development cycles, immediate application failure diagnosis, improved application performance, easier audit reporting and reduced cluster utilization costs.

Driven 2.0 will be generally available in November.

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Concurrent Announces Driven 2.0

Concurrent announced the latest release of Driven, an application performance management solution for monitoring and managing enterprise-scale Big Data applications.

Driven 2.0 enabes application performance monitoring and management across heterogeneous Hadoop and Spark environments within a single, comprehensive solution.

As industries identify and continue to refine Big Data use cases, new development frameworks, tools, technologies and compute engines proliferate to allow project teams to implement the best solution for their specific use case. However, with more choice comes greater complexity. This is creating new requirements for DevOps, data operations, development teams and data professionals, who need visibility, measurement and control of data processing performance at scale.

Driven 2.0 ensures the highest fidelity and richest detail for application performance monitoring, troubleshooting, dependency tracking and service-level adherence of Apache Hive, MapReduce, Cascading, Scalding and, with today’s new release, Spark applications. No other single solution on the market delivers this level of coverage to empower teams with continuous visibility and traceability from development through production.

Key features of Driven 2.0 include:

- Support for Apache Spark: Enterprises can now seamlessly and transparently collect all the operational intelligence for Apache Spark applications in Driven. Currently in beta, new Spark support provides the comprehensive performance management required to deliver and maintain production Spark data processes.

- Redesigned application analytics and custom views: Driven delivers new capabilities to segment operational metadata and create customized views and dashboards for more concise information delivery to the enterprise user. Additionally, Driven features new and more comprehensive visualization and navigation of applications for a highly intuitive view of all applications and transaction history. Users now have the ability to drill down in real time or to specific time periods in history and view the health of an application or clusters or the processes associated with a specific organization.

- Deeper search capabilities: Because data processes can be unwieldy and complex, comprised of hundreds of steps, pinpointing where something was executed or went wrong in an application can be time consuming and expensive. Whether fulfilling an audit request, debugging an application, looking for a slow down or searching for dependencies, the new search capabilities in Driven enable enterprise users to quickly find specific units of work and progress to satisfy their needs.

Driven delivers benefits to the enterprise including accelerated application development cycles, immediate application failure diagnosis, improved application performance, easier audit reporting and reduced cluster utilization costs.

Driven 2.0 will be generally available in November.

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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? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

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IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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