Deployment Resources

The 7 Biggest Cloud Misconfigurations That Hackers Love (and How to Fix Them)

Everyone's an admin until they shouldn't be. Ninety-nine percent of cloud identities have excessive permissions, making lateral movement trivial for attackers.

July 14, 2025

by David Iyanu Jonathan

· 3,528 Views · 5 Likes

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

· 3,349 Views · 1 Like

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

· 3,227 Views · 4 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

· 2,166 Views · 1 Like

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

· 3,201 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

· 2,242 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

· 3,179 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

· 2,418 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

· 3,916 Views · 9 Likes

Orchestrating Edge Computing with Kubernetes: Architectures, Challenges, and Emerging Solutions

Learn about orchestrating edge computing with Kubernetes, its architectural frameworks, operational challenges, and state-of-the-art solutions.

July 7, 2025

by Venkatesan Thirumalai

· 3,370 Views · 4 Likes

The Evolution of Software Integration: How MCP Is Reshaping AI Development Beyond Traditional APIs

MCP adds a dynamic layer over traditional APIs, enabling AI agents to access tools, context, and real-time data for smarter, more adaptive behavior.

July 4, 2025

by Chetan Yeddula

· 4,580 Views · 8 Likes

Why Traditional CI/CD Falls Short for Cloud Infrastructure

CI/CD works great for stateless apps–but infra isn’t stateless. It’s live, interconnected, and hard to roll back when things go sideways.

July 3, 2025

by Aharon Twizer

· 4,735 Views · 2 Likes

Deploying LLMs Across Hybrid Cloud-Fog Topologies Using Progressive Model Pruning

Deploying LLMs at the edge is hard due to size and resource limits. This guide explores how progressive model pruning enables scalable hybrid cloud–fog inference.

July 2, 2025

by Sam Prakash Bheri

· 2,276 Views · 1 Like

Microservice Madness: Debunking Myths and Exposing Pitfalls

The belief that "microservices eliminate dependencies" has probably caused more harm to our industry than the 2008 financial crisis did to finance!

July 2, 2025

by Thomas Hansen

CORE

· 2,830 Views · 7 Likes

Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)

Explore how C# developers can use Docker Model Runner to run AI models locally, reduce setup time, and integrate OpenAI-compatible APIs into their apps.

July 2, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 5,306 Views · 3 Likes

Docker Model Runner: Running AI Models Locally Made Simple

Docker Model Runner: run AI models locally with zero setup. Pull from Docker Hub, chat via CLI or API. OpenAI-compatible. Beta.

July 1, 2025

by Suleiman Dibirov

CORE

· 4,135 Views · 2 Likes

DevOps Remediation Architecture for Azure CDN From Edgio

The article explains how organizations particularly implement the migration from the retiring Azure CDN from Edgio to Azure Front Door.

June 30, 2025

by Karthik Bojja

· 2,431 Views · 3 Likes

Maximizing Productivity: GitHub Copilot With Custom Instructions in VS Code

Integrate GitHub Copilot in VS Code to provide custom instructions for improving productivity in the software development process.

June 30, 2025

by Udaya Veeramreddygari

· 7,867 Views · 3 Likes

Transform Settlement Process Using AWS Data Pipeline

Modern AWS data pipelines automate ETL for settlement files using S3, Glue, Lambda, and Step Functions, transforming data from raw to curated with full orchestration.

June 30, 2025

by Prabhakar Mishra

· 1,879 Views · 2 Likes

Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerize your ML model with Docker and deploy it on AWS EKS using Kubernetes in this hands-on guide. Learn to build, serve, and scale your models with ease.

June 27, 2025

by Bhanu Sekhar Guttikonda

CORE

· 4,544 Views · 6 Likes

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