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The Latest Deployment Topics

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Architecting Petabyte-Scale Hyperspectral Pipelines on AWS
Learn how to overcome serverless bottlenecks to process and route petabyte-scale hyperspectral agricultural data on AWS.
May 21, 2026
by Anil Bodepudi
· 3,610 Views
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Self-Hosted Inference Doesn’t Have to Be a Nightmare: How to Use GPUStack
GPUStack is an open-source tool that turns a bunch of scattered GPU machines into one managed cluster for deploying AI models behind an OpenAI-compatible API.
May 21, 2026
by Sandeep Sadarangani
· 3,895 Views · 1 Like
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Why SAP S/4HANA Landscape Design Impacts Cloud TCO More Than Compute Costs
SAP cloud TCO is driven more by landscape sprawl than by EC2 costs; optimize environments and use Terraform, S3, and EFS lifecycle policies to reduce costs.
May 20, 2026
by Deepika Paturu
· 2,752 Views
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Smart Deployment Strategies for Modern Applications
Docker packages applications to ensure consistent and portable deployments. Kubernetes manages them with scaling, reliability, and automation in production.
May 18, 2026
by Manju George
· 3,665 Views
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We Went Multi-Cloud and Almost Drowned: Lessons From Running Across AWS, GCP, and Azure
Multi-cloud sounds strategic, but usually happens by accident. Networking, IAM, and observability all break at boundaries. Only attempt it if you have no choice.
May 18, 2026
by Pruthvi Raj Seknametla
· 1,805 Views
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The Agent Protocol Stack: MCP vs. A2A vs. AG-UI
Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.
May 15, 2026
by Jubin Abhishek Soni DZone Core CORE
· 2,908 Views
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The "Zombie API" Attack: Why Your Old Integrations Are Your Biggest Security Risk
Zombie APIs are forgotten, outdated endpoints left active but unmonitored, creating easy backdoors for hackers to steal sensitive data.
May 14, 2026
by Tharun Reddy
· 2,271 Views · 1 Like
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Navigating the Complexities of AI-Driven Integration in Multi-Cloud Environments: A Veteran’s Insights
AI is transforming multi-cloud integration with real-time, decentralized, secure systems — improving compliance, APIs, and scalability across industries.
May 13, 2026
by Abhijit Roy
· 2,458 Views · 1 Like
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Spec-Driven Integration: Turning API Sprawl Into a Governed Capability Fleet for AI
Alpha release of a new integration approach that translates your existing data and APIs into standardized APIs, MCP, and agent skills for AI.
May 13, 2026
by Kin Lane
· 1,794 Views
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AWS Kiro: The Agentic IDE That Makes Specs the Unit of Work
You describe a feature, and Kiro generates structured requirements.md, design.md, and tasks.md files first, then implements against them.
May 13, 2026
by Jubin Abhishek Soni DZone Core CORE
· 3,049 Views · 2 Likes
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LLM Integration in Enterprise Applications: A Practical Guide
LLM integration boosts efficiency, automates workflows, and sharpens decisions — but success hinges on strategy, execution, and business alignment.
May 13, 2026
by Lilly Gracia
· 2,006 Views
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Solving the Mystery: Why Java RSS Grows in Docker on M1 Macs
Java apps running in x86-64 Docker containers on ARM64 M1 Macs experience mysterious RSS memory growth due to Rosetta 2 translation cache. The culprit? JIT compilation.
May 12, 2026
by Sumeet Sharma
· 3,779 Views · 1 Like
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AI-Driven Integration in Large-Scale Agile Environments
Learn how AI integrates with Agile at scale, improving velocity and insights while requiring human oversight, bias control, and continuous feedback.
May 11, 2026
by Abhijit Roy
· 2,745 Views · 1 Like
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The Serverless Illusion: When “Pay for What You Use” Becomes Expensive
Serverless isn’t inherently cheaper. Hidden costs add up, and at scale it’s often pricier than containers — best for sporadic, not steady workloads.
May 11, 2026
by David Iyanu Jonathan
· 2,434 Views · 1 Like
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How Reactive Scaling Drains Your Cloud Budget Without Warning
Reactive auto-scaling wastes cloud budgets on idle servers. Learn to replace it with a predictive C# and ML.NET engine that forecasts latency and scales proactively.
May 6, 2026
by Rodrigo Martinez Pinto
· 2,191 Views · 1 Like
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The Hidden Latency of Autoscaling
Autoscaling isn’t real elasticity — it’s slow, reactive, and can mislead. Use demand metrics, keep warm capacity, and pair with circuit breakers & observability.
May 5, 2026
by David Iyanu Jonathan
· 2,027 Views
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How We Diagnosed a Hidden Scheduler Failure in a Docker Swarm Cluster Serving 2 Million Users
A real production incident in a Docker Swarm cluster — how a routine service update triggered a silent scheduler failure, and how we uncovered it.
May 5, 2026
by Denis Tiumentsev
· 1,869 Views · 2 Likes
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Mastering Kubernetes to Maximize Your Cloud Potential
Understanding Kubernetes architecture through seven critical layers: storage, compute, networking, observability, security, dev tools, and CI/CD.
May 4, 2026
by Jaswinder Kumar
· 1,893 Views · 2 Likes
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Cost Is an SLI: Why Your System Is “Healthy” but Burning Cash
Runaway cloud spend hides in healthy systems — driven by poor cost visibility, idle resources, and scaling inefficiencies. Fix it with cost-per-request metrics.
May 4, 2026
by David Iyanu Jonathan
· 1,762 Views
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Securing the IT and OT Boundary in Geospatial Enterprise Systems
Enterprise GIS platforms blend IT & OT, offering vital operational insight. To protect critical systems, secure the boundary with zero-trust principles and segmentation.
May 4, 2026
by Emily Newton
· 1,812 Views
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