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AppDynamics Announces New Application, Database and Analytics Capabilities

AppDynamics announced the Spring 2014 Release of its technology and market leading application performance management solution.

The company’s Spring 2014 Release includes enhanced support for apps built in Java, .Net and PHP. Also provided is new support for apps built in Node.JS and Scala, two fast-growing and popular languages for building modern, responsive apps.

The company also announced a new version of its solution to manage and improve the performance of iOS and Android mobile apps.

The extensive new capabilities allow organizations to proactively monitor, manage and analyse the most complex software environments. All of this happens in real time, in production, giving increased visibility, understanding, and control across applications, infrastructure and user experience. By eliminating blind spots, IT can resolve issues faster reducing downtime costs.

“With our Spring 2014 Release, we are providing organizations enterprise-wide visibility into the performance and behavior of the applications that drive their software-defined business,” said Jyoti Bansal, founder and CEO of AppDynamics. “Once again, we are innovating with a new and enhanced set of capabilities that apply intelligence to instantly identify performance bottlenecks, anomalies, enable automatic fixes and continuously measure business impact. We do this in real time, in production, with cloud or on-premise deployment flexibility. This goes way beyond monitoring—it’s true application intelligence.”

AppDynamics’ Spring 2014 Release includes new support for NoSQL Big Data stores including MongoDB and Hadoop, Couchbase and Cassandra through its Extensible API framework. NoSQL databases are growing in popularity because they allow for design simplicity, horizontal scaling and greater control over availability. Considered “next generation” databases, they allow critical operations to be performed faster and are increasingly being adopted by big data and real-time web applications.

New and expanded features of the AppDynamics Spring 2014 Release include:

- Expanded support for the Java ecosystem including support for the Scala language and the Typesafe Reactive Platform

- Best in class support for .Net with support for MVC5 and RabbitMQ and better Azure integration

- Improved application, tier and transaction flow mapping

- Improved support for java/.net async calls with waterfall timeline visualization

- Best in class support for PHP with distributed transaction tracing, CLI (command line interface), and support for Redis/RabbitMQ

- Support for Node.js

- Redesigned end user experience dashboard with more granular client metrics

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AppDynamics Announces New Application, Database and Analytics Capabilities

AppDynamics announced the Spring 2014 Release of its technology and market leading application performance management solution.

The company’s Spring 2014 Release includes enhanced support for apps built in Java, .Net and PHP. Also provided is new support for apps built in Node.JS and Scala, two fast-growing and popular languages for building modern, responsive apps.

The company also announced a new version of its solution to manage and improve the performance of iOS and Android mobile apps.

The extensive new capabilities allow organizations to proactively monitor, manage and analyse the most complex software environments. All of this happens in real time, in production, giving increased visibility, understanding, and control across applications, infrastructure and user experience. By eliminating blind spots, IT can resolve issues faster reducing downtime costs.

“With our Spring 2014 Release, we are providing organizations enterprise-wide visibility into the performance and behavior of the applications that drive their software-defined business,” said Jyoti Bansal, founder and CEO of AppDynamics. “Once again, we are innovating with a new and enhanced set of capabilities that apply intelligence to instantly identify performance bottlenecks, anomalies, enable automatic fixes and continuously measure business impact. We do this in real time, in production, with cloud or on-premise deployment flexibility. This goes way beyond monitoring—it’s true application intelligence.”

AppDynamics’ Spring 2014 Release includes new support for NoSQL Big Data stores including MongoDB and Hadoop, Couchbase and Cassandra through its Extensible API framework. NoSQL databases are growing in popularity because they allow for design simplicity, horizontal scaling and greater control over availability. Considered “next generation” databases, they allow critical operations to be performed faster and are increasingly being adopted by big data and real-time web applications.

New and expanded features of the AppDynamics Spring 2014 Release include:

- Expanded support for the Java ecosystem including support for the Scala language and the Typesafe Reactive Platform

- Best in class support for .Net with support for MVC5 and RabbitMQ and better Azure integration

- Improved application, tier and transaction flow mapping

- Improved support for java/.net async calls with waterfall timeline visualization

- Best in class support for PHP with distributed transaction tracing, CLI (command line interface), and support for Redis/RabbitMQ

- Support for Node.js

- Redesigned end user experience dashboard with more granular client metrics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...