Maintenance Resources

Apache Spark 3 to Apache Spark 4 Migration: What Breaks, What Improves, What's Mandatory

A comprehensive guide to migrating from Apache Spark 3.x to Spark 4.0, covering breaking changes, new features, and mandatory updates for smooth transition.

April 10, 2026

by Rambabu Bandam

· 5,483 Views · 1 Like

How Agentic AI Platforms Organize Their Hardware Infrastructure

Discover how on-prem GPU clusters power secure, low-latency agentic AI pipelines with predictable costs and full data control.

April 9, 2026

by Kevin Vu

· 3,093 Views

Smart Controls for Infrastructure as Code with LLMs

By generating context-aware controls and performing sophisticated code reviews, LLMs significantly enhance our ability to build secure and efficient cloud infrastructure.

April 6, 2026

by Shiv Kumar

· 3,164 Views

Inside Zero Downtime Option (ZDO): When It Works and When It Doesn’t

ZDO can deliver near-zero downtime for S/4HANA upgrades, but only if all prerequisites are perfectly met; otherwise, it quickly reverts to a standard downtime upgrade.

April 1, 2026

by Deepika Paturu

· 3,510 Views

Kubernetes Autoscaling: What Breaks Under Real Traffic

Under real production traffic, Kubernetes autoscaling can struggle with delayed metrics, startup latency, and downstream pressure.

March 31, 2026

by Ankush Madaan

· 2,967 Views · 2 Likes

The Hidden Cost of Legacy Infrastructure in Asset-Heavy Game Development

Today’s software and game dev bottleneck is legacy pipelines. Modern VCS gives studios the edge to scale and thrive in a high-velocity, agent-driven era.

March 27, 2026

by Sasha Medvedovsky

· 2,916 Views

Why AI Agents Are the New Backbone of Software Quality

Agentic AI is turning QA from scripted execution into autonomous, risk-driven orchestration. Faster releases, smarter testing, but still guided by humans.

March 23, 2026

by Pavel Novik

· 1,899 Views

Toward Intelligent Data Quality in Modern Data Pipelines

Data quality goes beyond null checks. Learn how GenAI helps detect subtle issues, explain anomalies, and strengthen testing in modern data pipelines.

March 20, 2026

by Sireesha Pulipati

· 3,584 Views · 1 Like

Standards as the Invisible Infrastructure of Software

Standards align ecosystems, preserve knowledge, and prevent fragmentation — enabling portability, innovation, and long-term stability.

March 13, 2026

by Otavio Santana

CORE

· 3,083 Views

Best Practices to Make Your Data AI-Ready

In this article, I share best practices for building a high-quality data management framework to support AI initiatives.

March 9, 2026

by Mykhailo Kopyl

· 5,007 Views · 1 Like

Autoscaling Is Not Elasticity

Autoscaling is reactive, not resilient. Without caps, metrics, or overrides, it can worsen failures. True elasticity requires policy, testing, and bottleneck awareness.

March 5, 2026

by David Iyanu Jonathan

· 2,134 Views

Infrastructure as Code Is Not Enough

Learn about why Infrastructure as Code alone can't ensure reliability and how intent, policy, and feedback loops create self-correcting, resilient systems.

March 4, 2026

by Venkatesan Thirumalai

· 2,962 Views

Implementing Decentralized Data Architecture on Google BigQuery: From Data Mesh to AI Excellence

Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.

March 3, 2026

by Jubin Soni, FBCS

CORE

· 3,031 Views · 1 Like

What Actually Breaks During Large-Scale S/4HANA Conversions (And How to Prevent It)

S/4HANA migrations break custom ABAP code and interfaces unless you proactively refactor code, SQL, and integrations to support the new data model and semantics.

March 3, 2026

by Deepika Paturu

· 2,076 Views

Edge Computing's Infrastructure Problem: What Two Years of Factory Visits Actually Revealed

Most edge computing remains cloud-dependent, with genuine use cases limited to strict latency or connectivity needs — making it more marketing than architecture.

February 25, 2026

by Igboanugo David Ugochukwu

CORE

· 1,779 Views · 2 Likes

Amazon Q Developer for AI Infrastructure: Architecting Automated ML Pipelines

Master Amazon Q Developer for ML infrastructure. Automate SageMaker pipelines, optimize GPU resources, and accelerate AI development cycles.

February 20, 2026

by Jubin Soni, FBCS

CORE

· 2,019 Views · 1 Like

From On-Call to On-Guard: Hardening Incident Response Against Security-Driven Outages

Security incidents now cause outages. This article shows why SRE and security must share command, tooling, and automation to reduce response time.

February 18, 2026

by Oreoluwa Omoike

· 1,634 Views

Backing Up Azure Infrastructure with Python and Aztfexport

We treat code as a first-class citizen, but our actual cloud state often drifts. Here’s how to build a Python-based “Time Machine” for Azure.

February 12, 2026

by Dippu Kumar Singh

· 1,649 Views

ITSM Uncovered: How IT Teams Keep Businesses Running Smoothly

Modern ITSM is evolving from ticket-based incident handling into intelligent, automated resilience for cloud-native systems.

February 6, 2026

by Akshay Pratinav

· 1,863 Views · 1 Like

5 Technical Strategies for Scaling SaaS Applications

In this article, I want to take a closer look at the pitfalls of popular SaaS scaling strategies, drawing on my own experience, and share the lessons learned.

January 29, 2026

by Mykhailo Kopyl

· 2,113 Views · 1 Like

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