Testing, Deployment, and Maintenance Resources

Cloud Hardware Diagnostics for AI Workloads

AI workloads need reliable hardware. Cloud providers are developing intelligent diagnostics to predict, detect, and resolve GPU and server failures efficiently.

July 14, 2025

by Sam Prakash Bheri

· 2,490 Views

How to Reduce Technical Debt With Artificial Intelligence (AI)

Technical debt hampers growth and innovation. Smart AI integration in SaaS helps reduce it by improving code quality, scalability, and proactive maintenance.

July 11, 2025

by Karan Rawal

· 3,393 Views

Server-Driven UI: Agile Interfaces Without App Releases

Server-driven UI lets apps update screens instantly via the server, not app stores. Future AI could design, tweak, and personalize your app layout in real time.

July 11, 2025

by Rutvij Shah

· 3,619 Views · 1 Like

The Cybersecurity Blind Spot in DevOps Pipelines

DevOps pipelines create massive attack surfaces through leaks and misconfiguration, and trusted tools become attack vectors. Here are the steps on how to prevent them.

July 11, 2025

by Igboanugo David Ugochukwu

CORE

· 2,772 Views · 2 Likes

Testing the MongoDB MCP Server Using SingleStore Kai

In this article, learn how to set up and test the MongoDB MCP Server with SingleStore Kai using MCPHost, notebooks, and real-time queries powered by Ollama LLM.

July 11, 2025

by Akmal Chaudhri

CORE

· 1,519 Views · 1 Like

Contract-Driven ML: The Missing Link to Trustworthy Machine Learning

Model accuracy means nothing if data breaks in production. Learn how data contracts ensure reliability, prevent silent failures, and protect ML performance.

July 10, 2025

by Sana Zia Hassan

· 2,279 Views · 1 Like

When Caches Collide: Solving Race Conditions in Fare Updates

Race conditions in fare caches can cause stale prices. Learn how to detect, debug, and prevent them in high-traffic systems.

July 10, 2025

by Ravi Teja Thutari

CORE

· 3,072 Views · 2 Likes

Build Real-Time Analytics Applications With AWS Kinesis and Amazon Redshift

Build real-time analytics with AWS Kinesis for streaming, AWS Lambda for processing, and Amazon Redshift for scalable data analysis.

July 10, 2025

by Danil Temnikov

CORE

· 3,315 Views · 4 Likes

Top 5 Trends in Big Data Quality and Governance in 2025

Explore the top 5 trends in data quality and governance for 2025, from real-time validation to AI-powered checks and privacy-first practices.

July 10, 2025

by Vivek Venkatesan

· 2,239 Views · 2 Likes

Advanced Insight Generation: Revolutionizing Data Ingestion for AI-Powered Search

Use Azure Document Intelligence and OpenAI to index complex documents, preserve structure, and power smarter search in AI-driven RAG applications.

July 9, 2025

by Emrah Mete

· 2,313 Views · 1 Like

Testing Java Applications With WireMock and Spring Boot

In this article, we will explore the use of WireMock for mocking external system behavior in unit integration tests for Spring Boot applications.

July 9, 2025

by Gunter Rotsaert

CORE

· 3,714 Views · 4 Likes

The AWS Playbook for Building Future-Ready Data Systems

Gone are the days when teams dumped everything into a central data warehouse and hoped analytics would magically appear.

July 9, 2025

by Junaith Haja

· 3,334 Views · 7 Likes

Continuous Quality Engineering: The Convergence of CI/CD, Chaos Testing, and AI-Powered Test Orchestration

Continuous Quality Engineering merges CI/CD, chaos testing, and AI test orchestration to proactively deliver reliable, resilient software faster.

July 9, 2025

by Gopinath Kathiresan

· 2,325 Views · 2 Likes

Top Load Balancing Algorithms: Choosing the Right Strategy

Use static algorithms for simple apps, dynamic for real-time needs. Choose based on app behavior. Combine methods for optimal load balancing.

July 7, 2025

by Yakaiah Bommishetti

· 3,301 Views · 5 Likes

Deploy Serverless Lambdas Confidently Using Canary

Improve AWS Lambda reliability with canary deployments, gradually release updates, minimize risk, catch bugs early, and deploy faster with confidence.

July 7, 2025

by Prajwal Nayak

· 2,484 Views · 3 Likes

Stop Building Monolithic AI Brains, Build a Specialist Team Instead

I created a team of specialist agents to handle different parts of a complex task. It's basically microservices for AI, making our app smarter, easier to update and more.

July 7, 2025

by Christina Lin

CORE

· 4,045 Views · 9 Likes