SmartBear announced AI enhancements for API testing, UI test automation, and test management across its product suite, the SmartBear Application Integrity Core™.
To better understand why everyone — including IT Operations — needs to care about DevOps, CA Technologies interviewed four DevOps luminaries and thought leaders. Their deep insights make a compelling case for Agile Operations and provide immediate practical guidance on how to get started. Here are some excerpts from the interviews:
Do you foresee a change in the culture of operations teams?
"IT operations were involved too late in the cycle and not given a seat at the table to begin with, so it felt as though they were putting on the brakes or pushing back on initiatives late in the day. Better and earlier engagement with IT operations could have avoided this situation and led to better service transition all along. Fortunately, I am seeing this dynamic between IT operations and the rest of IT change. The need for reduced cycle times means that the relationship simply has to become more collaborative to meet the speed and quality standards required. Trends such as cloud and infrastructure as code are also pulling operations concerns left in the delivery lifecycle. From the other side, developers also need to take more interest in their full stack, and the production environment, as their application stacks become more complex. All of these trends are naturally changing the culture of IT operations teams and the way they interact with development."
Benjamin Wootton, Co-founder and Principal Consultant at Contino, a UK based consultancy
With IT traditionally organized via technology function, what changes do you view as necessary to support a more "lean" and systems way of thinking?
"In DevOps organizations you end up with much smaller teams, where typically you will have dev and ops working side by side, and if not integrated into the same team, at least working far more closely together, collaborating to not just facilitate getting the feature done but making sure that it’s safely and continuously integrated and deployed into the production environment. You end up with a different looking organization."
Gene Kim, Co-Author of The Phoenix Project, founder and former CTO of Tripwire
What in particular can IT operations teams do differently to facilitate right to left feedback from ops to dev?
"Break down the silo between dev and ops and ensure that technical operations staff are involved in the product design from day one — and then keep them constantly involved in sprint planning, stand-ups, retrospectives and all the other phases of (scrum-based) agile delivery. This provides a constant right to left feedback loop from ops to dev."
Steve Thair, Co-founder of DevOpsGuys
Should IT operations teams be embracing the "Continual Experimentation"?
"A culture of learning and guided experimentation within IT operations teams is essential if they are to provide real value to organizations. A strong sense of driving continual service improvement should inform priorities: the IT operations team sees itself as building and improving key parts of the software systems. The experimentation and improvement therefore needs to be joined up with those of the development teams."
Matthew Skelton, Co-founder and Principal Consultant at Skelton Thatcher Consulting
Industry News
JFrog announced its partnership with iZeno Pte Ltd, a Singapore-headquartered enterprise technology solutions provider.
Red Hat announced an expanded collaboration with Google Cloud to help organizations accelerate application modernization and cloud migrations.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Zero Networks announced the Kubernetes Access Matrix, a real time visual map that exposes every allowed and denied rule inside Kubernetes clusters.
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.
GitLab released GitLab 18.10, making it easier and more affordable to use agentic AI capabilities across the entire software development lifecycle.




