The Latest and Popular SDLC Topics

Migrating Legacy Microservices to Modern Java and TypeScript

Incremental strangler fig migration — containerize first, route traffic gradually, and validate with shadow mode testing.

March 30, 2026

by Venkata Sandeep Dhullipalla

· 2,455 Views

Deploying Java applications on Arm64 with Kubernetes

Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.

March 30, 2026

by Dave Neary

· 1,877 Views · 1 Like

AI Maturity Is the New Differentiator: Why Operationalization Matters More Than Model Capability

LLM advantage is fading. Enterprises must shift to operational maturity with governance, reliability, measurement, and modular architecture to scale AI in production.

March 30, 2026

by Frederic Jacquet

CORE

· 1,943 Views

Scaling AI Workloads in Java Without Breaking Your APIs

Learn how to scale AI inference workloads in Java using async and event-driven patterns, maintaining stable APIs while improving performance and resilience.

March 27, 2026

by Ramya vani Rayala

· 3,819 Views · 3 Likes

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 3,839 Views · 3 Likes

Why Good Models Fail After Deployment

Learn how feedback loops, distribution shift, and metric misalignment break machine learning systems in production, and what you can do about it.

March 27, 2026

by Oleksandr Pyvovar

· 8,268 Views · 50 Likes

The Self-Healing Endpoint: Why Automation Alone No Longer Cuts It

Partial, script-based automation is hitting a ceiling — so organizations are moving toward autonomous endpoint management systems.

March 27, 2026

by Anton Lucanus

CORE

· 2,887 Views

Essential Techniques for Production Vector Search Systems, Part 5: Reranking

Proven techniques for production vector search, including when to use each one, how to combine them effectively, and trade-offs to understand before deployment.

March 27, 2026

by Pavan Vemuri

CORE

· 2,108 Views

Designing Stop Loss in Modern AI-Driven Automated Trading Systems

Stop losses are usually considered a no-brainer in automated trading setups. Any novice entering the space gets taught to use stop losses.

March 27, 2026

by Ruslan Malsagov

· 2,353 Views · 1 Like

Stop Leap-Second AI Drift in IoT Streams With PySpark

Leap seconds can corrupt timestamps and trigger AI drift in fintech IoT systems. Learn about drift types and how PySpark streaming fixes them in real time.

March 27, 2026

by Ram Ghadiyaram

CORE

· 2,031 Views · 1 Like

From Stream to Strategy: How TOON Enhances Real-Time Kafka Processing for AI

The TOON data format specifically targets the propagation of structured, validated, and semantically consistent data, thereby reducing ambiguity in real time.

March 27, 2026

by Gautam Goswami

CORE

· 1,865 Views

Taming the JVM Latency Monster

For heaps exceeding 50 GB, choose G1 for balanced stability, Shenandoah for <10ms concurrent compaction, or ZGC for terabyte-scale orchestration with <1ms pauses.

March 26, 2026

by Theo Ezell

· 4,143 Views · 5 Likes

Automating Maven Dependency Upgrades Using AI

Build an AI-driven Maven dependency upgrade pipeline that detects outdated libraries, applies safe updates, generates notes, and auto-creates tested PRs.

March 26, 2026

by Sravan Reddy Kathi

· 3,558 Views · 2 Likes

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference

MinIO AIStor delivers high-performance, scalable object storage for AI workloads with Ampere CPUs, optimized for inference, analytics, and cloud-native environments.

March 26, 2026

by Tinh Nguyen

· 2,328 Views · 1 Like

Microsoft Responsible AI Principles Explained for Engineers

This is for engineers, architects, and ML practitioners who want to move beyond theory. It reframes Microsoft’s responsible AI principles as engineering responsibilities

March 26, 2026

by Indirakumar Rajendiran

· 2,479 Views · 1 Like

Isolation Boundaries in Multi-Tenant AI Systems: Architecture Is the Only Real Guardrail

In multi-tenant AI systems, true isolation needs structural boundaries across storage, vector namespaces, execution, and queue layers to survive retries and concurrency.

March 26, 2026

by Aditya Gupta

· 2,107 Views