Articles
Writing
Published in Forbes, VentureBeat, The New Stack, DevOps.com, and CEO Weekly. Focused on data infrastructure, observability, and the future of digital operations.
20 articles
Powering The Honeynet Project With Hydrolix Analytics
How Hydrolix powers real-time analytics for The Honeynet Project's global threat intelligence infrastructure.
Michael Cucchi's Leadership Approach: Fostering Employee Growth Through Structure, Clarity, and Transparency
A look at the leadership philosophy behind building high-performing marketing and product teams in fast-moving infrastructure companies.
Log It All and Eliminate Visibility Gaps
The case for zero-cost ingest and what it means for observability programs that have been forced to sample, filter, or discard critical log data.
The SIEM vs. XDR Debate: Industry Perspectives
A grounded look at the SIEM vs. XDR conversation — where the debate is real, where it is marketing noise, and what security teams actually need.
Was RSA Conference AI-Washed or Is AI in Cybersecurity Real?
A post-RSA breakdown of what AI hype looked like on the conference floor — and where genuine capability is actually emerging in cybersecurity. Michael Cucchi featured in the embedded video.
What to Expect When You're Expecting a Cybersecurity Audit for Compliance
A practical guide to cybersecurity compliance audits — what auditors look for, where teams typically fall short, and how the right data infrastructure makes the process less painful.
Sumo Logic Eliminates Ingest Fees for Observability Log Data
Coverage of Sumo Logic's pricing model shift and the broader industry implications for how teams budget for and manage log data.
Reaching The Highest Levels Of The Digital Operations Maturity Model
What separates digital operations leaders from laggards — and a practical framework for advancing your organization up the maturity curve.
Building a Culture of Full-Service Ownership
Full-service ownership is more than a process change — it requires a cultural shift in how engineering teams think about accountability and customer impact.
Why Automation Is Critical in DevOps and Digital Operations
Automation is the foundation of modern digital operations — not a nice-to-have. Here's how leading teams are putting it into practice.
Full-Service Ownership: The Key to Unlocking Business and Customer Value
When engineering teams own the full lifecycle of their services — from build to production — everyone wins: the team, the business, and the customer.
Customer-Service Ownership: The Case for a New Approach
Moving beyond SLA compliance to a model where teams genuinely own the customer experience their services deliver.
Why Now Is the Time for a Modern Operations Cloud
The convergence of cloud-native infrastructure, distributed teams, and rising reliability expectations is making the operations cloud not just useful, but necessary.
AIOps Isn't Just a Pipe Dream, but the Tools You Use May Be
AIOps has real potential — but most tooling on the market overpromises and underdelivers. A framework for evaluating what actually works.
How to Build Past Basic Automated Incident Response
Most teams have basic automation in place. The teams that win have gone further — here is what the next level of incident response automation looks like.
DevSecOps: Why Security Shouldn't Be Sacrificed for Speed
Speed and security are not in opposition — but getting both requires rethinking where and how security enters the development lifecycle.
Pivotal Opens Up More Of Its Platform
Inside Pivotal's open-source strategy for its big data and analytics platform — and what it meant for the enterprise cloud landscape.
Kiai! EMC Grasps Open Source, Kicks Off Cloud Foundry Dojo
EMC's embrace of open source through Cloud Foundry and what it signaled about the future of enterprise platform strategy.
Pivotal Brings In-Memory Analysis To Hadoop
How Pivotal's in-memory analytics work changed the performance calculus for large-scale Hadoop deployments.
Pivotal Hopes Its New Big Data Pricing Makes It a Real Platform
The pricing strategy behind bringing together seven distinct Pivotal products into a unified big data suite — and what it revealed about platform economics.