Samuel Duvains

Samuel Duvains

Software Integration Advisor
Samuel Duvains is an IT expert with a passion for SaaS. As a thought leader in software, Samuel examines a wide range of topics, including agile methodologies and the principles of DevOps. Insightful analysis and practical advice make Samuel’s content popular among a community of aspiring developers and seasoned professionals.
BEA Builds Digital Future With Automated QA
AI & Trends BEA Builds Digital Future With Automated QA

The Bank of East Asia, a venerable institution in Hong Kong's financial landscape, is rewriting the playbook on digital transformation by strategically deploying automation not merely as a cost-saving tactic but as a core pillar of its Quality Assurance framework. This forward-thinking approach

How Will the Next Gen Shape Security's Future?
Testing & Security How Will the Next Gen Shape Security's Future?

The safety and security sectors stand at a critical juncture, contending with persistent skills shortages and the urgent need to integrate fresh perspectives to address the evolving landscape of modern threats. As experienced professionals advance in their careers, a significant gap is emerging,

Four Pillars of Observability – Review
Testing & Security Four Pillars of Observability – Review

The silent failure of a single microservice can now trigger a cascade of outages across an entire digital ecosystem, a scenario that has rendered traditional health checks and simple alerts tragically obsolete. Observability represents a significant advancement in modern software engineering and

Streaming Search Results – Review
Software Development Streaming Search Results – Review

The fundamental contract between a user and a search engine has long been one of patience, where a query is submitted into a digital void, followed by a brief but perceptible delay before a complete page of results materializes. The no-buffering strategy of streaming search results represents a

Two Hidden Traps Derail Large Azure Migrations
Testing & Security Two Hidden Traps Derail Large Azure Migrations

When it comes to migrating large, mission-critical systems to the cloud, the term "lift-and-shift" can be deceptively simple. While the tools for moving virtual machines have matured, the underlying physics of a distributed cloud environment introduces complexities that can derail even the most

It's Not the Tech: Why Digital Transformations Implode
Editorial It's Not the Tech: Why Digital Transformations Implode

The statistics are a familiar warning for any business leader: the vast majority of digital transformation projects fail. Research consistently shows that as many as seven in ten initiatives fall short of their intended goals, whether measured by ROI, user adoption, or overall business impact. This

Spark Default Sampling vs. Distributed Sampling: A Comparative Analysis
Development Management Spark Default Sampling vs. Distributed Sampling: A Comparative Analysis

Handling petabyte-scale datasets in modern data engineering presents a significant challenge, where even seemingly simple operations like generating a representative sample can become a critical performance bottleneck. When faced with the task of subsampling data in Apache Spark, data professionals

What's Trapping Your High Z-Index Element?
Software Development What's Trapping Your High Z-Index Element?

Our guest today is Vijay Raina, an expert in enterprise SaaS technology with a deep understanding of software design and architecture. He specializes in untangling the complex web of browser rendering, particularly the often-misunderstood world of CSS stacking contexts. Today, we'll move beyond

Is Your Cloud Security Stuck in the Past?
DevOps & Deployment Is Your Cloud Security Stuck in the Past?

As organizations accelerate their migration to the cloud, many are unknowingly bringing outdated security philosophies with them, attempting to protect hyper-dynamic, distributed infrastructures with tools designed for a static, on-premises world. This fundamental mismatch creates a dangerous blind

How to Scale Postgres Reads Without Losing Consistency?
Development Management How to Scale Postgres Reads Without Losing Consistency?

The relentless growth of application data often forces engineering teams into a difficult crossroads where scaling database performance seems to directly conflict with the fundamental need for data consistency. As a primary Postgres instance begins to buckle under the weight of read-heavy

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