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Home/Articles/#cloud-computing

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#cloud-computing

454 articles found

· about 21 hours ago· Dev.to

Designing Thread-Safe Java Apps with Java LLD and Strategy Pattern

Java LLD: Designing a Thread-Safe Parking Lot with Strategy Pattern Designing a parking lot is a staple of Java LLD and machine coding interviews, yet most candidates fail to write production-grade code. As an ex-FAANG interviewer, I've seen countless designs fall apart under concurrent traffic or w

#java#cloud-computing#design-patterns#thread-safety
Two survival systems, two empathy modes
· about 21 hours ago· Dev.to

Two survival systems, two empathy modes

Here are two scenes. They look unrelated. They're not. Two people at a café, talking about a restaurant they want to try. A stranger walking past stops: "That place closed six months ago. The one on the corner is better." A brief nod, and they walk on. The two people exchange a glance, taken aback.

#cloud-computing#empathy-in-tech#survival-systems#digital-interaction
Essential Upgrades in Angular's @switch You Need to Understand
· about 21 hours ago· Dev.to

Essential Upgrades in Angular's @switch You Need to Understand

Angular's @switch block has become a lot more useful recently. With exhaustive type checking, Angular can now catch missing template states when a TypeScript union or enum changes. And with grouped cases, we can remove duplicate markup when multiple states render the same UI. In this post, I'll show

#angular#cloud-computing#typescript#web-development
· about 22 hours ago· Dev.to

From Predictions to Power: India's AI Shift Towards Decision-Driven Cloud Solutions

Most software projects focus on producing outputs. Most AI projects focus on producing predictions. But real organizations don't operate on outputs or predictions alone. They operate on decisions. A decision has consequences. A decision creates risk. A decision consumes resources. A decision changes

#cloud-decision-systems#ai-decision-making#cloud-computing#ai-architecture#cloud-ai
Foxconn has immense confidence in growth momentum due to AI, chairman says
· about 22 hours ago· ET Tech

Foxconn has immense confidence in growth momentum due to AI, chairman says

Taiwan's Foxconn sees strong growth driven by AI demand. Chairman Young Liu is optimistic about the second half of the year. Cloud providers' massive AI investments are fueling this confidence. Foxconn, a key supplier for Nvidia and Apple, reported a profit rise. The company expects its capital expe

#ai#foxconn#growth-momentum#cloud-computing#taiwan
BugWhisperer: How I Finally Finished My Abandoned GitHub Issue Analyzer (8 Months Later) with GitHub Copilot
· about 23 hours ago· Dev.to

BugWhisperer: How I Finally Finished My Abandoned GitHub Issue Analyzer (8 Months Later) with GitHub Copilot

My Submission GitHub Repo: https://github.com/SimranShaikh20/BugWhisperer Live Demo: https://bugwhisperer.msusimran20.workers.dev Eight months ago I had a problem. Our dev team had 60+ open GitHub issues across 3 repos. Nobody knew what to fix first. Every sprint planning meeting turned into a 45-mi

#cloud-computing#github#developer-tools#ai-assistance
What is VPC? Explained for Beginners
· about 23 hours ago· Dev.to

What is VPC? Explained for Beginners

AWS VPC (Virtual Private Cloud) Introduction If you are starting your AWS and Cloud journey, one of the most important concepts you will come across is VPC (Virtual Private Cloud). When I first heard the term VPC, I was confused because AWS networking looked very complicated. Terms like: Subnets CID

#cloud-computing#aws#vpc#virtual-private-cloud
· about 23 hours ago· Dev.to

Why Objects Are Passed as Arguments in Java – Complete Guide for Beginners

In Java, objects are often passed as arguments to methods. This is an important concept in Object-Oriented Programming (OOP) because it helps methods work with real-world data efficiently. Before understanding why objects are passed as arguments, let us first understand what an object is. An object

#java-cloud#object-oriented-programming#oop-concepts#java-methods#cloud-computing
· about 23 hours ago· Dev.to

Unraveling the Silent Threats of Codex's Context Compression at Scale

You're six hours into debugging a production issue. The trace points to line 847 in order_processor.rs, but you need to see how the state flowed from the original request through three service hops. You drop the relevant files into Codex, paste the error, and ask for the root cause. It gives you a c

#cloud-computing#debugging#memory-leak#service-architecture
· 1 day ago· Dev.to

Building a random live webcam discovery site

I'm a 32-year-old Brit guy living in Quy Nhon, Vietnam. Travelled 60+ countries, worked as an anti-poaching ranger in Africa and an English teacher in Thailand. Noticed cameras are literally everywhere on Earth and thought - why isn't there one site that pulls them all together? So I Built EarthLive

#cloud-computing#webcam-discovery#live-streaming#cloud-based-applications#location-based-services
Comparing 5090 and 4090 for AI Tasks: Purchase, Lease, or Test in the Cloud?
· 1 day ago· Dev.to

Comparing 5090 and 4090 for AI Tasks: Purchase, Lease, or Test in the Cloud?

Originally published at https://blog.runc.ai/5090-vs-4090/. Key Takeaways RTX 5090 is the stronger flagship on paper, especially when your AI workflow benefits from 32 GB of VRAM and much higher memory bandwidth. RTX 4090 still makes strong practical sense when 24 GB is enough, and you do not want t

#cloud-computing#ai-workloads#gpu#rtx-5090#rtx-4090
· 1 day ago· Dev.to

AI Search Systems for Businesses: The Next Big Opportunity for Developers

Most businesses have a search problem. Not a Google-scale problem. An operational problem. Employees waste hours searching through: PDFs CRMs spreadsheets emails dashboards SOPs tickets maintenance logs contracts internal tools Traditional search fails because business data is: fragmented unstructur

#ai#cloud-computing#business-solutions#search-systems#developer-opportunities
· 1 day ago· Dev.to

Revolutionizing AI Image Gen: Why Async Is the Future Now

AI image generation can look like a simple request-response feature. A user enters a prompt, clicks generate, and waits for an image. For a prototype, that can work. For a production product, it usually becomes fragile. Image generation may take several seconds or minutes. A provider may return a jo

#ai-image-generation#cloud-computing#asynchronous-processing#user-experience#machine-learning
· 1 day ago· Dev.to

India's AI Infrastructure Struggles Exposed: A Silent Scalability Crisis Looms Large

The individual AI memory problem is solved. claude-mem has 1,840 commits and 109 contributors. MemPalace stores every conversation verbatim with semantic search. mem0 gives you cloud-hosted semantic memory with a clean API. Basic Memory keeps things in human-readable markdown. There are now dozens o

#ai-memory#cloud-computing#semantic-search#collaboration-tools
AWS unveils innovative RNG data center architecture for enhanced performance and dependability
· 1 day ago· SiliconANGLE

AWS unveils innovative RNG data center architecture for enhanced performance and dependability

Amazon Web Services Inc. has started using a new data center network design that significantly improves the throughput and reliability of connections. The cloud giant today detailed the architecture, which it calls Random Network Graph, or RNG. It’s powered by a fiber-optic cable management system t

#aws#data-centers#cloud-computing#network-architecture#startup-innovation
Analysis temporarily unavailable. Please try again in a moment.
· 1 day ago· Dev.to

Analysis temporarily unavailable. Please try again in a moment.

Everyone can build it. Almost no one can afford to run it at scale. And the companies selling the picks and shovels are about to get undercut by the same forces they unleashed. by VEKTOR Memory — 20 min read How This Article Started: 20 Forums, 40 Headlines, and a Growing Sense That Everyone Was Con

#cloud-computing#software-development#scalability#democratization#technology-trends
Analysis temporarily unavailable. Please try again in a moment.
· 1 day ago· Dev.to

Analysis temporarily unavailable. Please try again in a moment.

I've been working on a project to audit distributed hardware infrastructure — devices I was testing the agent against a scenario where a device had failed a firmware check at Here's the reframe that changed how I thought about this. server that exposes it as tools the agent can call: One thing I'd p

#cloud-computing#infrastructure-auditing#firmware#distributed-systems
· 1 day ago· Dev.to

Analysis temporarily unavailable. Please try again in a moment.

There is a moment, when you decide to open your SaaS to AI agents over MCP, where the ground shifts under two of your oldest assumptions at once. The first assumption is that your data stays inside your walls. With MCP, the result of any tool call passes once through the user's chat screen — which m

#cloud-computing#saas#ai-agents#mcp#data-security
Analysis temporarily unavailable. Please try again in a moment.
· 1 day ago· Dev.to

Analysis temporarily unavailable. Please try again in a moment.

I do a lot of research. Legal documents, technical specs, academic papers, regulatory filings. For a while I thought using an LLM would cut my fact-checking time in half. It made it three times worse. Not because the models were obviously wrong. The dangerous part is how convincingly right they soun

#ai-hallucinations#cloud-computing#llm#fact-checking#artificial-intelligence
India's Top AI Coding Tools: Performance Benchmarked and Ranked
· 1 day ago· Dev.to

India's Top AI Coding Tools: Performance Benchmarked and Ranked

Most AI coding comparisons test "Hello World" apps and call it a day. I ran every major tool through the same three-stage gauntlet: a simple build, a complex full-stack application, and multiple rounds of revisions. The best AI for code should hold up under all three. Most do not. Here is what I fou

#ai-for-code#cloud-computing#artificial-intelligence#machine-learning-tools#devops
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