Mendix, a Siemens business, announced the general availability of Mendix 10.18.
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 .
Industry News
Red Hat announced the general availability of Red Hat OpenShift Virtualization Engine, a new edition of Red Hat OpenShift that provides a dedicated way for organizations to access the proven virtualization functionality already available within Red Hat OpenShift.
Contrast Security announced the release of Application Vulnerability Monitoring (AVM), a new capability of Application Detection and Response (ADR).
Red Hat announced the general availability of Red Hat Connectivity Link, a hybrid multicloud application connectivity solution that provides a modern approach to connecting disparate applications and infrastructure.
Appfire announced 7pace Timetracker for Jira is live in the Atlassian Marketplace.
SmartBear announced the availability of SmartBear API Hub featuring HaloAI, an advanced AI-driven capability being introduced across SmartBear's product portfolio, and SmartBear Insight Hub.
Azul announced that the integrated risk management practices for its OpenJDK solutions fully support the stability, resilience and integrity requirements in meeting the European Union’s Digital Operational Resilience Act (DORA) provisions.
OpsVerse announced a significantly enhanced DevOps copilot, Aiden 2.0.
Progress received multiple awards from prestigious organizations for its inclusive workplace, culture and focus on corporate social responsibility (CSR).
Red Hat has completed its acquisition of Neural Magic, a provider of software and algorithms that accelerate generative AI (gen AI) inference workloads.
Code Intelligence announced the launch of Spark, an AI test agent that autonomously identifies bugs in unknown code without human interaction.
Checkmarx announced a new generation in software supply chain security with its Secrets Detection and Repository Health solutions to minimize application risk.
SmartBear has appointed Dan Faulkner, the company’s Chief Product Officer, as Chief Executive Officer.
Horizon3.ai announced the release of NodeZero™ Kubernetes Pentesting, a new capability available to all NodeZero users.