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Cloud, DevOps & SRE Professional | KCNA, CKA & AWS Certified | Sharing insights on Kubernetes, AWS, CI/CD, DevOps & SRE to help others grow in cloud tech.

What Preparing for CKS Taught Me About Kubernetes Security

What Preparing for CKS Taught Me About Kubernetes Security

Preparing for CKS reinforced that Kubernetes security is not about a single tool or feature. It is about good defaults, clear boundaries and consistent operational practices ...

Karthi Palanisamy | July 8, 2026 | kubernetes, security

Kubernetes Architecture Made Simple: A School Analogy

Kubernetes Architecture Made Simple: A School Analogy

This beginner-friendly guide uses a school analogy to simplify Kubernetes architecture, explaining the roles of the Control Plane (administration) and Worker Nodes (classrooms) in orchestrating containerized applications. By likening components to familiar ...

Karthi Palanisamy | February 10, 2026 | API server, beginner guide, cloud-native applications, container orchestration, container runtime, control plane, Controller Manager, Kube-Proxy, Kubelet, Kubernetes architecture, pods, Scheduler, school analogy, Worker Nodes

KCNA, certification,

From Zero to Cloud-Native: Why KCNA is the Ultimate Starting Point

KCNA certification provides a structured foundation in modern cloud infrastructure without requiring prior hands-on experience. ...

Karthi Palanisamy | May 8, 2025 | certification, KCNA, kubernetes

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Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations

18 August 2026

Modernizing Manufacturing: How to Move from Legacy Infrastructure to Cloud-Ready Operations

Migrating Apache Solr Workloads to Amazon OpenSearch Service

28 July 2026

Migrating Apache Solr Workloads to Amazon OpenSearch Service

From Pilot to Production: AI that Delivers Business Outcomes

27 July 2026

ADR vs. EDR: Why EDR Isn’t Enough in the AI Era

19 August 2026

ADR vs. EDR: Why EDR Isn’t Enough in the AI Era

DevOps in the Age of AI Native

17 August 2026

DevOps in the Age of AI Native

How the Biggest Banks Stay Fast, Nimble, and Multi-Vendor

13 August 2026

How the Biggest Banks Stay Fast, Nimble, and Multi-Vendor

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Google OpenRL Tames AI Model Tuning, Kubernetes-Style

June 17, 2026

Linkerd 2.20, the Latest Release of the Cloud-Native Service Mesh, Arrives

June 24, 2026

Minimus Makes Hardened Container Images Freely Available to All Developers

June 23, 2026

Upbound Unfurls Control Plane for Managing AI Inference Workloads

June 23, 2026

The AI Native Stack Already Exists. We’ve Been Calling It Cloud Native

June 30, 2026

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Software Testing and Test Automation

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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

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