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Hybrid Architecture Is No Longer a Transitional Stage
Hybrid is already the dominant model among organizations and, at the same time, many of them have increased their use of the mainframe. Companies are seeing financial returns across all three strategies analyzed: modernizing on the mainframe, integrating the mainframe with other platforms, and migrating selected workloads.
For many organizations, mainframe + cloud may no longer be a temporary architecture and instead become the most rational design for the business.
Testability as a Platform: The Next Step for DevOps on the Mainframe
DevOps has advanced significantly on the mainframe in recent years. Pipelines have become more automated, modern tools have been integrated into the z/OS development lifecycle, and practices once associated primarily with distributed environments have become part of the routine of mission-critical applications.
Even so, there is one point where that speed often encounters resistance: preparing the infrastructure required to test a change.
From System of Record to Intelligent Core: How to Connect Transactional Data to AI Without Replacing the Mainframe
The role of the mainframe used to be relatively easy to explain: securely process and record critical transactions with high availability and at scale. Banks, insurers, retailers, governments, and large enterprises built on it what the industry came to call the system of record.
That role has not disappeared. What has changed is what the rest of the organization expects from that data.
Not Everything Needs to Leave the Mainframe: Modernization Starts with the Right Workload
The State of Mainframe Modernization 2025, from Kyndryl, surveyed 500 business and technology leaders and found a far less linear picture: 80% of organizations changed their modernization strategy over the past 12 months.
At the same time, 56% increased their use of the mainframe, while the average share of applications planned to move off the platform fell from 36% in 2024 to 28% in 2025.
Is Your Db2 Getting Slower — or Do You Just Not Know It Yet?
On the mainframe, performance degradation does not usually begin with an obvious failure. It tends to emerge gradually: more pages being read, increased fragmentation, less efficient indexes, and maintenance operations taking longer and longer.
By the time the impact finally reaches the application, the problem is no longer purely technical.
The Real Role of AI in Mainframe Modernization Is Still Being Misunderstood
The discussion around artificial intelligence in the mainframe usually starts in the wrong place. People talk about code generation, automatic translation, and copilots. All of that matters, but it does not solve the core problem: no one can fully understand everything that is already running.
Eccox at FEBRABAN TECH 2026: an immersion in technology, innovation, and new perspectives
From August 24 to 26, the Eccox team was present at FEBRABAN TECH 2026, closely following the discussions, trends, and experiences that marked another edition of the largest technology and innovation event in the financial sector.
Mainframe Talent Shortage: Why the Problem Is the Environment, Not the People
The market often treats the shortage of mainframe professionals as an unavoidable problem. A natural consequence of an “old” technology that is difficult to learn and disconnected from younger generations. That interpretation is convenient and, in most cases, wrong.
The problem is not a lack of interest. It is the experience.
Emulated Tests vs. Real Tests: Why Emulation Fails Where Risk Is Highest
Mainframe modernization rarely fails because of a lack of technology, but because of too many assumptions. In mission-critical environments, it is not enough to validate whether something works. You need to ensure that it will continue to work under real load, with real data, and real dependencies.
This is where the difference between emulated testing and real testing stops being a technical matter and becomes a direct decision about operational risk.