Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
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
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.