AppDynamics Releases v3.4 to Simplify Management of Highly Distributed Applications
March 27, 2012
Share this

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.

Share this

The Latest

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...

December 02, 2024

From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...

November 26, 2024

In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...

November 25, 2024

In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...