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AppDynamics Releases v3.4 to Simplify Management of Highly Distributed Applications

AppDynamics, a provider of APM for the cloud generation, announced the release of AppDynamics 3.4, to simplify the process of managing modern, complex, and dynamic applications.

The release emphasizes support for Operations and Development teams tasked with managing distributed environments with hundreds or even thousands of nodes.

Over the past year, AppDynamics has supported enterprise organizations with highly distributed environments, including public cloud deployments of mission-critical applications. Many of these customers have provided feedback that AppDynamics has incorporated into its latest release, resulting in an application performance management solution that delivers groundbreaking new support for companies that need to monitor, troubleshoot, and fix complex application issues.

With AppDynamics 3.4, AppDynamics introduces:

* Application Flow Map 2.0

AppDynamics has optimized its Flow Map to support environments with up to 7,500 nodes, giving its customers a better ability to visualize and navigate their entire application—just as though they're viewing a Google map. In addition, users can personalize their own custom App Maps and share different perspectives with other users.

* Agile Release Analytics

Customers can now compare their application performance and business transaction flows before and after an agile release, helping them understand the effect of releases on application performance, business transaction performance, and infrastructure performance. This helps Development teams recognize the impact their agile releases have in production so they can better manage performance and availability.

* Role Perspectives

3.4 now provides multi-dimensional views for DBA, ESB, Messaging, CMS and Security administrators who are looking to see how their respective tiers impact application and business transaction performance. For example, a DBA can now look at the performance of their database, see the top slowest SQL queries, and then understand which business transactions are impacted by those queries.

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AppDynamics Releases v3.4 to Simplify Management of Highly Distributed Applications

AppDynamics, a provider of APM for the cloud generation, announced the release of AppDynamics 3.4, to simplify the process of managing modern, complex, and dynamic applications.

The release emphasizes support for Operations and Development teams tasked with managing distributed environments with hundreds or even thousands of nodes.

Over the past year, AppDynamics has supported enterprise organizations with highly distributed environments, including public cloud deployments of mission-critical applications. Many of these customers have provided feedback that AppDynamics has incorporated into its latest release, resulting in an application performance management solution that delivers groundbreaking new support for companies that need to monitor, troubleshoot, and fix complex application issues.

With AppDynamics 3.4, AppDynamics introduces:

* Application Flow Map 2.0

AppDynamics has optimized its Flow Map to support environments with up to 7,500 nodes, giving its customers a better ability to visualize and navigate their entire application—just as though they're viewing a Google map. In addition, users can personalize their own custom App Maps and share different perspectives with other users.

* Agile Release Analytics

Customers can now compare their application performance and business transaction flows before and after an agile release, helping them understand the effect of releases on application performance, business transaction performance, and infrastructure performance. This helps Development teams recognize the impact their agile releases have in production so they can better manage performance and availability.

* Role Perspectives

3.4 now provides multi-dimensional views for DBA, ESB, Messaging, CMS and Security administrators who are looking to see how their respective tiers impact application and business transaction performance. For example, a DBA can now look at the performance of their database, see the top slowest SQL queries, and then understand which business transactions are impacted by those queries.

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...