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Latest
LiteLLM Attack Affected 2,500 Companies, 434,000 CI/CD Pipelines: CloudSEK
August 12, 2026 | Jeff Burt
Open Source Code Just as Secure as Proprietary Software—If You Manage It Right, Says CISA
July 31, 2026 | Joab Jackson
How AI is Revamping DevSecOps Processes
July 7, 2026 | Umashankar Kotturu
Platform Engineering vs. DevOps: Why This Is the Wrong Question
July 1, 2026 | Alan Shimel
AI Is Exposing a Growing Blind Spot in Open Source Security
June 25, 2026 | Aaron Mitchell
DevOps 101
How Live Team Coaching Can Solve Tech’s Skills Problem
April 1, 2024 | Hywel Carver
Securing the DevOps Pipeline: Tools and Best Practices
February 27, 2024 | Gilad David Maayan
404: Role Not Found – Generative AI’s Impact on DevOps Jobs
February 26, 2024 | Garima Bajpai
10 Key Features of AI Code Assistants
February 6, 2024 | Gilad David Maayan
DevOps Best Practices
AI Is Exposing a Growing Blind Spot in Open Source Security
June 25, 2026 | Aaron Mitchell
How Small Engineering Teams Can Improve Reliability Without Adding Process Overhead
January 6, 2026 | Jennifer Shawn
CDF Survey Surfaces DevOps Progress and Challenges
April 16, 2024 | Mike Vizard
How Live Team Coaching Can Solve Tech’s Skills Problem
April 1, 2024 | Hywel Carver
DevSecOps
LiteLLM Attack Affected 2,500 Companies, 434,000 CI/CD Pipelines: CloudSEK
August 12, 2026 | Jeff Burt
How AI is Revamping DevSecOps Processes
July 7, 2026 | Umashankar Kotturu
Why DevOps Is Critical for Modern Business Resilience
May 15, 2026 | Johnbosco Ejiofor
How Open Source Dependency and Repo Attacks Compromise DevOps Pipelines and How to Stay Safe
May 11, 2026 | Alex Vakulov
Observability
Why Your AI Agent is a Black Box and How to fix it With OpenTelemetry
May 29, 2026 | Frank Chen
Why DevOps Is Critical for Modern Business Resilience
May 15, 2026 | Johnbosco Ejiofor
Migration Observability: Measure Meaning, Not Movement
May 15, 2026 | Deven Chawla
The Observability Bill is Coming Due – and AI Wrote Most of It
March 11, 2026 | Alan Shimel
Cloud Computing
Why Your Observability Stack Is Costing You More Than Your Cloud Bill
June 11, 2026 | Ashwini Dave
Tools for Sustainability in Cloud Computing
April 12, 2024 | Anna Ivchenko
Controlling Cloud Costs With Efficient Ramp Plans
March 14, 2024 | Zach Almeida-Beers
10 Ways to Optimize Your Cloud
February 29, 2024 | Gilad David Maayan
DevOps Open Source
Open Source Code Just as Secure as Proprietary Software—If You Manage It Right, Says CISA
July 31, 2026 | Joab Jackson
AI Is Exposing a Growing Blind Spot in Open Source Security
June 25, 2026 | Aaron Mitchell
GitHub Breach Tied to Malicious VS Code Extension Exposes Thousands of Internal Repositories
May 20, 2026 | James Maguire
OpenSSF’s CRob: ‘The Runway Is Rapidly Running Out’ on EU CRA Readiness
May 20, 2026 | Steven J. Vaughan-Nichols
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Modern Software Development and Delivery
1
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Q6
How would you best describe your organization's current software delivery environment(s) on mainframe computers? (Select all that apply)
(Required)
Primarily manual or legacy delivery processes
Automated CI/CD in limited areas
Hybrid environment with multiple delivery platforms and toolchains
Mostly standardized CI/CD platform
Intelligent, governed software delivery platform
My organization does not utilize mainframes
Not sure / don't know
Which outcomes are most important to your organization's software delivery strategy today? (Select up to three)
(Required)
Accelerating software delivery
Automating build, test, and deployment workflows
Integrating security and compliance into delivery
Providing governance and auditability
Supporting AI-assisted software delivery
Improving software supply chain visibility
Standardizing delivery across teams
Supporting both modern and legacy application delivery
Other
Not sure / don't know
What, if anything, is limiting your organization's mainframe software delivery progress? (Select up to three)
(Required)
Legacy applications or legacy development processes
Fragmented tools and disconnected workflows
Security, governance, or compliance requirements
Limited automation across the delivery lifecycle
Difficulty integrating AI into software delivery workflows
Skills or resource constraints
Organizational or cultural resistance to change
Limited visibility across the software delivery lifecycle
Budget or investment constraints
Other
Nothing is significantly limiting our progress
Not sure / don't know
In which areas of your mainframe software delivery environment are you currently using AI? (Select all that apply)
(Required)
Code generation / developer assistance
Automated testing / test generation
Build and pipeline optimization
Deployment automation
Monitoring and incident response
Security / compliance automation
Other
We are not currently using AI in our environment today
As software delivery responsibilities expand beyond traditional build, test, and deploy, which of the following areas is the most challenging for your organization today with respect to mainframe software delivery? (Select one)
(Required)
Integrating security throughout the software delivery lifecycle
Meeting governance, audit, or compliance requirements
Managing software supply chain integrity and visibility
Operationalizing AI across software delivery workflows
Coordinating software delivery across diverse tools, teams, and environments
Other
None of these are significant challenges
Not sure / don't know
Which of the following do you expect is most likely to accelerate your organization's mainframe software delivery progress over the next 12-18 months? (Select one)
(Required)
Greater automation across the software delivery lifecycle
Broader use of AI-assisted software delivery workflows
Stronger governance, policy, and compliance automation
Improved software supply chain visibility
Better integration across software delivery tools and platforms
Greater standardization across development teams
Other
No significant changes are planned
Not sure / don't know
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