Saturday, July 18, 2026
Cloud Native Now
MENU
MENU
Home
Webinars
Upcoming
Calendar View
On-Demand
Podcasts
Cloud Native Now Podcast
Techstrong.tv Podcast
Techstrong.tv - Twitch
About
Sponsor
MENU
MENU
News
Latest News
News Releases
Cloud-Native Development
Cloud-Native Platforms
Cloud-Native Networking
Cloud-Native Security
GitOps plateau
The GitOps Plateau – Have We Stopped Innovating?
GitOps adoption is steady but innovation has slowed. AI-native GitOps could be the breakthrough that makes Kubernetes delivery smarter, safer, and scalable ...
Alan Shimel
|
September 3, 2025
|
AI-native GitOps
,
ArgoCD GitOps
,
event-driven GitOps
,
Flux GitOps
,
GitOps and AI
,
GitOps automation
,
GitOps for multi-cloud
,
GitOps future
,
GitOps innovation
,
GitOps plateau
,
GitOps platform engineering
,
GitOps reconciliation
,
Kubernetes delivery
,
Kubernetes YAML automation
,
policy-as-code GitOps
×
Software Testing and Test Automation
1
2
3
4
5
6
7
8
Which of the following best describes your involvement in software testing or test automation at your organization? (Select one)
*
I actively perform software testing or test automation
I manage or lead software testing or QA teams
I make decisions about testing tools, frameworks, or automation strategy
I do both hands-on testing and make strategic/tool decisions
None of the above
How much of your organization's software testing is still performed manually today? (Select one)
*
Almost all
More than half
About half
Less than half
Almost none
How much effort does your team spend maintaining existing automated tests compared to creating new test coverage? (Select one)
*
Mostly maintaining existing tests
More maintenance than new coverage
About equal
More new coverage than maintenance
Very little maintenance required
How much has AI-assisted software development increased the pressure on your testing teams over the past 12 months? (Select one)
*
Significantly increased pressure
Moderately increased pressure
Slightly increased pressure
No meaningful impact yet
Unsure
What is the biggest obstacle preventing your organization from expanding software test automation and adopting agentic testing? (Select one)
*
Automated tests are too difficult or costly to maintain
Release cycles move too quickly to keep tests current
Too much coding or scripting expertise is required
Testing tools and frameworks are too fragmented
Lack of time, budget, or staffing
Difficulty proving business value or ROI
Insufficient AI or intelligent automation capabilities
Which improvement would create the greatest business impact for your organization over the next 12 months? (Select one)
*
Reducing manual testing effort
Reducing automated test maintenance
Accelerating release cycles
Expanding test coverage across more technologies
Consolidating testing tools and frameworks
Enabling more non-developers to automate testing
Improving the resilience and adaptability of automated tests
Which statement best reflects your organization's current perspective on AI-powered or agentic software testing? (Select one)
*
We are actively evaluating or adopting AI-powered testing approaches
We are interested, but still assessing practical value and trust
We believe current automated testing approaches are sufficient
We are primarily focused on improving existing automation before adopting AI-assisted testing
We have not yet explored AI-powered testing in a meaningful way
How important is the ability to execute continuous, largely autonomous software testing with minimal human intervention ("lights-out" or "dark factory" testing) to your organization's future software delivery strategy? (Select one)
*
Critical strategic priority
Important, but still early-stage
Somewhat important
Low priority today
Not relevant to our organization
Unsure
Δ
×
