Taking APM to an "EPIC" Level
March 06, 2015

Kieran Taylor
CA Technologies

In an age of big data, more must mean better, right? Scan the APM marketplace and you’d think that there are legions of data nerds eager to swim in data, painstakingly applying their tightly guarded expertise to reduce their MTTI (mean time to innocence). The reality is that no one in IT has the time. It’s answers, not data that’s paramount.

How did we get to this state of data bloat? The biggest cause is not fully understanding the real-world users of application monitoring. Just as IT managers know that great APM starts with the end user experience, vendor product design must start with those IT users in mind. Sounds obvious, yes, but it’s too easy to fall into a vicious circle of capturing and reporting every metric with the assumption a human is eager to own the forensics.

As discussed in a previous blog, selecting the right APM for DevOps is an “EPIC” decision. Easy, Proactive, Intelligent, and Collaborative is a user-driven approach to APM focused squarely on helping ITOps teams succeed at managing application performance.

To build an E.P.I.C. APM solution, requires not only a clinical understanding of the most common needs by role type, but also working with real users; understanding a day in their lives and truly empathizing with their challenges. How do you make the clickpath to answers truly intuitive? What’s the preferred way to easily share insights with colleagues? Answers to these and other questions means really spending a day in the life with many different roles such as application developer, APM administrator, level 1 support analyst, production support analyst, middleware specialists, test engineers, production performance engineers and more.

The developers of an E.P.I.C. APM solution must understand the stories behind each of the roles and at a very practical level, what steps and methods they enact for success. And here’s the kicker: to create an APM solution that its users are passionate about, you must be passionate about them. So, in addition to having deep day in the life insights, the developers of an E.P.I.C. APM solution must truly empathize with and care about the success of each role.

Here are some examples of how E.P.I.C. APM delivers on its passion for APM users:

Easy

Making APM easy to adopt, fast time-to-value, simple-to-use, easy to manage and configure. For example, simplify management for thousands of agents with a central repository of all agent configurations and meta-data across all of your APM clusters in minutes and not hours.

Proactive

In agile environments the concept of “canary-testing” new code (against unsuspecting) users has grown in popularity to gain early detection and prevent bigger issues during the full push of a revision. Proactive approaches to APM ensure that insights are gathered quickly and shared with development, versus the ‘wait and see’ tactic.

Intelligent

Collecting and delivering data is one thing, making it actionable is another. APM can be smarter. For example, automatically detecting degradation in one user’s experience and pinpointing the code or even infrastructure that is the cause. Instead of manually digging to get call stack visibility, transaction traces for that particular issue are surfaced automatically.

Collaborative

Enable better communication between Dev and Ops specialists to resolve problems faster by utilizing the same production tool in development, and with a unified view of the infrastructure and apps that affect business services. For example, operations providing real world data to development to make enhancements to apps more relevant and improve performance.

E.P.I.C. may sound like a clever marketing acronym but when we speak with the real front-line users of APM these are the areas that they care the most about. Designing for their unique needs is producing a new number of role-specific features that help convert big data into big answers.

Kieran Taylor is Sr Director, Product & Solutions Marketing, APM & DevOps, CA Technologies .

Share this

Industry News

March 31, 2026

SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.

March 31, 2026

JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.

March 30, 2026

Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.

March 30, 2026

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announced the contribution of SQLMesh, an open source data transformation framework, to the Foundation by Fivetran.

March 26, 2026

Check Point® Software Technologies Ltd. released the AI Factory Security Architecture Blueprint — a comprehensive, vendor-tested reference architecture for securing private AI infrastructure from the hardware layer to the application layer.

March 26, 2026

CMD+CTRL Security won the following awards from Cyber Defense Magazine (CDM), the industry’s leading electronic information security magazine: Most Innovative Cybersecurity Training and Pioneering Secure Coding: Developer Upskilling.

March 25, 2026

Check Point® Software Technologies Ltd. announced the Check Point AI Defense Plane, a unified AI security control plane designed to help enterprises govern how AI is connected, deployed, and operated across the business.

March 25, 2026

Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications.

March 25, 2026

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced that Istio has launched a host of new features designed to meet the rising needs of modern, AI-driven infrastructure while reducing operational complexity.

March 25, 2026

Chainguard announced Chainguard Repository, a single Chainguard-managed experience for pulling secure-by-default open source containers, dependencies, OS packages, virtual machine images, CI/CD workflows, and agent skills that have built-in, intelligent policies to enforce enterprise security standards.

March 24, 2026

Backslash Security announced new cross-product support for agentic AI Skills within its platform, enabling organizations to discover, assess, and apply security guardrails to Skills used across AI-native software development environments.

March 24, 2026

The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, announced the graduation of Kyverno, a Kubernetes-native policy engine that enables organizations to define, manage and enforce policy-as-code across cloud native environments.

March 24, 2026

Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.

March 24, 2026

Apiiro announced AI Threat Modeling, a new capability within Apiiro Guardian Agent that automatically generates architecture-aware threat models to identify security and compliance risks before code exists.

March 23, 2026

GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.