
AppDynamics has strengthened its collaboration with Red Hat.
AppDynamics’ agreement with Red Hat enables enterprises to use OpenShift by Red Hat and Red Hat JBoss Middleware technologies, and build in application intelligence from AppDynamics to help customers develop high performing applications faster and with more confidence. DevOps teams and line-of-business managers can work in tandem to accelerate the delivery of performance-optimized applications created using Red Hat software throughout the application lifecycle.
The Red Hat-AppDynamics collaboration is also aimed at enabling more efficient migration of existing enterprise applications to OpenShift, Red Hat's award-winning Platform-as-a-Service (PaaS) solution, and private clouds, while enabling apps to consistently perform as they did in their original environment.
“Our integration with AppDynamics enables us to provide developers using Red Hat software with application intelligence throughout the entire development process,” said Rob Cardwell, VP, Application Platforms, Red Hat. “Whether developers choose OpenShift or Red Hat JBoss Middleware, they can quickly develop and deploy dependable applications across the hybrid cloud.”
AppDynamics’ intelligent agents are instrumented into container images that streamline the development of applications for private clouds using OpenShift by Red Hat. This enables enterprises to auto-discover, monitor, and manage business transactions from end to end for optimized application and business performance. Developers using earlier versions of OpenShift Enterprise can enjoy similar benefits thanks to AppDynamics' intelligent agents injected into cartridges that contain libraries, source code, build mechanisms, and other critical development components.
Enterprises that rely on the Red Hat JBoss Enterprise Application Platform or the entire Red Hat JBoss Middleware portfolio also benefit from AppDynamics’ built-in application intelligence. AppDynamics injects bytecode into applications to capture key metrics on the health of JBoss EAP servers and OpenShift PaaS environments—in addition to tracking memory usage by Java virtual machines — with minimal system overhead.
AppDynamics and Red Hat are working closely together on co-engineering, co-marketing, and co-sales efforts. The goal is to better address digital businesses that are using custom applications for new consumer touch-points. The collaboration is aimed at streamlining Red Hat developer efforts to create reliable, high-performing applications, and opens the door to new opportunities in an increasingly digital age.
“We are excited to be able to integrate our application intelligence with Red Hat solutions for customers that choose to develop and manage their private environments with Red Hat software,” stated Matthew Polly, VP of Worldwide Alliances and Business Development for AppDynamics. “Our objective is to make it faster and easier to bring high performance to every phase of the software development and management lifecycle, so businesses can perform their best.”
AppDynamics is committed to continued work with Red Hat to help enterprises and developers deliver higher application performance and superior consumer experiences using applications developed with Red Hat software.
The Latest
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...
When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...
Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...
Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...