AppDynamics released new capabilities designed to help IT teams build cloud native applications with confidence by connecting hybrid cloud application performance to business performance in real-time.
Through a context-sensitive visualization interface, correlated insights across domains and intelligent resource optimization, enterprise IT leaders will be able to reduce noise and surface only the most business-critical information and insights across their unique hybrid environments.
“AppDynamics’ new portfolio of cloud native services is the only solution on the market to provide an easy to use performance monitoring platform that helps users tame the complexity of the cloud from the application all the way through to the network,” said Jeetu Patel, SVP and GM, Security & Applications, Cisco. “By reducing noise and providing the context that matters most to cloud workflows, business leaders will be able to accelerate their digital transformation initiatives and improve their user experiences.”
AppDynamics’ new portfolio of cloud capabilities closes that visibility gap and allows users to connect traditional systems with cloud native services, all in the context of business outcomes. These new capabilities include:
- Full Stack Observability Platform: A new data platform designed to increase visibility and seamlessly ingest data from multiple sources including AppDynamics agent-based data, open-source tools and agent-less services and correlate the data across domains.
- Cloud Data Collector: An extensible architecture for capturing and automating data collection and correlating cloud services with application code, user experience and business impact to provide full stack, context rich observability. Starting with Amazon Web Services’ (AWS) monitoring and observability service, Amazon CloudWatch, and then expanding to incorporate additional public and private cloud environments.
- Cloud Native Visualization: A new visualization interface that reduces the complexity of monitoring cloud-native applications with a context-sensitive, easy to understand, visual representation.
- Intelligent Application Resourcing and Cost Optimization: An integration with Cisco Intersight Workload Optimizer will transform operations from reactive to proactive by optimizing infrastructure resources and costs in hybrid cloud environments.
AppDynamics’ new cloud native capabilities are generally available today.
The Latest
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 ...
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 ...
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 ...
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 ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
