Sign up for our newsletter!
Stay informed on the latest DevOps news

staging-devopsy.kinsta.cloud

Latest
Topics
Videos/Podcasts
Webinars
Library
Events
- Upcoming Events
- On-Demand Events
Sponsored Content
Related Sites
Media Kit
About
Sponsor

AI
Cloud
CI/CD
Continuous Testing
DataOps
DevSecOps
DevOps Onramp
Platform Engineering
Low-Code/No-Code
IT as Code
More

Event Planning

By: ROELBOB on June 1, 2021 Leave a Comment

ROELBOB

Filed Under: ROELBOB Tagged With: event driven programming, humor, satire, tech humor

« Automating Security with Palo Alto

10 Actions IT Can Take to Curb Climate Impact »

Techstrong TV

Click full-screen to enable volume control

Watch latest episodes and shows

Sign up for our Newsletter

Tech Field Day Events

Upcoming Webinars

AI Writes Code Fast. Can You Trust What Gets Deployed?

Wednesday, August 12, 2026 - 1:00 pm EDT

How the Biggest Banks Run Fast, Multi-Vendor Infrastructure at Scale

Thursday, August 13, 2026 - 11:00 am EDT

DevOps in the Age of AI Native

Monday, August 17, 2026 - 1:00 pm EDT

Techstrong Gang Podcast

Agents of Dev Podcast

Press Releases

Airlock Digital Unveils Agentic AI Control & Governance to Extend Preventative Endpoint Security

Airlock Digital Unveils Agentic AI Control & Governance to Extend Preventative Endpoint Security

Sweet Security Brings Autonomous Protection to the AI Enterprise with New Blocking Capabilities

Sweet Security Brings Autonomous Protection to the AI Enterprise with New Blocking Capabilities

Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk

Insignary Closes SBOM Accuracy Gap With Binary-Level Clarity for Regulatory Risk

SpyCloud Report Finds Phishing Attacks Surge as Employee Data Is Exposed at 86% of Fortune 100 Companies

SpyCloud Report Finds Phishing Attacks Surge as Employee Data Is Exposed at 86% of Fortune 100 Companies

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

Heimdal Survey: Executives Four Times More Confident About AI Risk Than the Teams Managing It

Sponsored Content

The Surprisingly High Cost of ‘Free’ Search Solutions

July 29, 2026 | Rafal Kuc

The Anatomy of a $900,000 Validation Bill

July 28, 2026 | Rob Zuber

ManageEngine OpManager Nexus Adds MCP, GenAI, and Autonomous AI, With AI Sovereignty Built-In

July 16, 2026 | Visakh

How AI in APM Spots Problems Before Users Do

July 16, 2026 | Kirubanandan R

AI Is Here to Stay. The Real Challenge Is Operating It Securely

June 13, 2026 | Thierry Carrez

Home
About staging-devopsy.kinsta.cloud
Meet our Authors
Write for staging-devopsy.kinsta.cloud
Media Kit
Sponsor Info
Copyright
TOS
Privacy Policy

© 2026 ·Techstrong Group, Inc.All rights reserved.

What Is Your Platform Engineering 2.0 Platform Made Of?

1

2

3

4

5

6

7

8

9

Which description best matches your role? (Select one)*
- Platform engineering
- DevOps, DevSecOps or SRE
- Software engineering
- Cloud or infrastructure engineering
- Enterprise architecture
- Data science, ML engineering or MLOps
- Security, risk or compliance
- FinOps
- Engineering or IT leadership
- Consultant or technology vendor
- Other

What is your organization's current platform engineering status? (Select one)*
- Operating a mature internal platform
- Operating a platform that is still expanding
- Building our first internal platform
- Evaluating or planning a platform initiative
- Operating multiple purpose-built platforms
- No current platform engineering initiative
- Unsure

What are the primary outcomes expected from your platform? (Select up to three)*
- Improve developer productivity
- Accelerate and standardize software delivery
- Improve security, compliance or reliability
- Control infrastructure, cloud or AI costs
- Support AI/ML development and operations
- Govern AI models and agents
- Modernize traditional applications
- Enable hybrid or multicloud operations
- Meet data sovereignty or residency requirements
- Other

What is your platform primarily made of? (Select all that apply)*
- Backstage
- Another internal developer portal or service catalog
- APIs, command-line tools or agent interfaces
- CI/CD, GitOps or infrastructure as code
- Self-managed Kubernetes
- Managed public-cloud Kubernetes
- VMware Cloud Foundation or VMware vSphere
- Another private-cloud or virtualization platform
- Public-cloud infrastructure and managed services
- Virtual machines managed outside Kubernetes
- Serverless or application platform services
- Bare-metal infrastructure
- Multiple platforms without a common control layer
- Unsure
- Other

How is your organization supporting AI workloads? (Select one)*
- Extending our existing platform to support AI
- Building a separate AI/ML platform
- Connecting our platform to external model APIs
- Using a managed public-cloud AI platform
- Operating a private AI platform
- Combining external services with internally hosted models
- Supporting AI experimentation without a formal platform
- Not currently supporting AI workloads
- Unsure

Which AI-specific platform capabilities are available today? (Select all that apply)*
- AI gateway or unified model access
- Model registry, evaluation or serving
- AI-specific observability
- Token or inference cost accounting
- GPU provisioning, scheduling or optimization
- Agent identity and permissions
- Agent behavioral guardrails and auditability
- MCP server discovery or governance
- Data access, lineage or residency controls
- None of these
- Unsure

How mature are your AI governance and cost controls? (Select one)*
- Embedded across the platform, with clear ownership and cost attribution
- Partially centralized, but important gaps remain
- Managed separately by individual teams
- Primarily applied after deployment or after costs are incurred
- No consistent governance or cost-control model
- Not applicable
- Unsure

What is the greatest constraint preventing your platform from delivering what the business now expects? (Select one)*
- Platform adoption or developer experience
- Orchestration and integration
- Kubernetes or workload management
- Infrastructure or GPU availability
- Data access and governance
- AI model or agent management
- Security or compliance
- Observability
- Cost visibility and FinOps
- Platform skills or staffing
- Funding or executive support
- Difficulty demonstrating platform value
- Other
Optional: What is the one capability you most need to add or improve?

Would you be willing to participate in a short follow-up interview? (Select one)*
- Yes
- No
If yes, please share your contact information (name, email, and company) so we can reach out.

Δ