Mert
TDT'den Dijital Tarım Veri Platformu
Pentagon, UFO'lar hakkında yeni belgeler yayımladı
A ‘Golden Orb’ on the Ocean Floor Came From a Mysterious Animal
9500 dolara dev elektrikli sedan! Peki bu nasıl mümkün? Batarya abonelik sistemi mantıklı mı?
Bu videoda, Çin’de 9500 dolar başlangıç fiyatıyla satışa çıkan Arcfox S3 üzerinden batarya kiralama sisteminin mantıklı olup olmadığını değerlendirdik. Sizce bu sistem mantıklı mı?Samsung Galaxy Z Fold 8 ve Flip 8’in fiyatı ortaya çıktı
Samsung’un Galaxy Z Fold 8 ve Z Flip 8 modellerinde fiyat artışına gidebileceği konuşuluyor. Özellikle yüksek depolama seçenekleri daha pahalı olabilir. İşte detaylar…The 11 Major Cloud Service Providers in 2025
If the cloud were a city, each service provider would feel like a different district. One is built for speed, another for scale, another for innovation, and another for security and privacy.
Today, more than 90 percent of organisations rely on cloud infrastructure to run their operations. The question is no longer whether to use the cloud. The real question is which provider aligns best with your goals.
This guide explores the 11 leading cloud providers in 2025, what they offer, and what makes each one stand out.
Amazon Web Services (AWS)
Amazon Web Services remains the largest cloud provider with an estimated 30 percent market share in Q2 2025.
Key capabilities
Hundreds of services covering compute, storage, AI and machine learning, analytics, and serverless computing
Extensive global network with more than 100 Availability Zones
Strong cost management tools such as Cost Explorer and Savings Plans
Why it matters
AWS represents the highest standard of cloud scalability and reliability. It is often the first platform developers choose when building modern applications.
Microsoft Azure
Microsoft Azure holds about 20 percent of the global cloud market.
Key capabilities
Deep integration with Microsoft 365, Active Directory, and enterprise software
Comprehensive hybrid cloud tools such as Azure Arc and Azure Stack
Strong compliance support and global data sovereignty options
Why it matters
Azure is the preferred platform for enterprises modernising legacy systems within Microsoft environments.
- Google Cloud Platform (GCP)
Google Cloud has approximately 13 percent market share and is known for its data-driven innovation.
Key capabilities
BigQuery and Looker for industry-leading analytics
Advanced AI and machine learning tools including Vertex AI and TensorFlow
Long-standing commitment to sustainability with 100 percent carbon-neutral operations since 2017
Why it matters
GCP powers many of the world’s most data-intensive workloads with advanced analytics and AI capabilities.
- Alibaba Cloud
Alibaba Cloud holds around 4 percent global market share and leads the Asia-Pacific cloud market.
Key capabilities
Strong presence in e-commerce, logistics, and financial services
Data centres across more than 25 countries
Localised compliance and billing for APAC businesses
Why it matters
Alibaba Cloud is a strong choice for companies expanding throughout the Asia-Pacific region.
- Oracle Cloud Infrastructure (OCI)
Oracle Cloud has about 3 percent market share and is particularly strong among enterprises that rely on Oracle databases.
Key capabilities
High-performance computing for analytics and transactional workloads
Autonomous Database for automated management and patching
One of the lowest outbound data transfer costs available
Why it matters
OCI is built for performance, cost efficiency, and enterprise-grade database workloads.
- IBM Cloud
IBM Cloud focuses on hybrid cloud and regulated industries.
Key capabilities
Watson AI for improved automation and insights
Integration across mainframe, hybrid, and public cloud environments
Government-level encryption and compliance controls
Why it matters
IBM Cloud connects traditional enterprise systems with modern cloud agility.
- Salesforce Cloud
Salesforce is the global leader in SaaS and CRM solutions.
Key capabilities
End-to-end CRM, analytics, and marketing automation tools
AI-driven personalisation with Einstein GPT
A large AppExchange ecosystem with more than 7,000 integrations
Why it matters
Salesforce unifies customer data and interactions across the entire business ecosystem.
- VMware Cloud
VMware Cloud supports businesses migrating workloads without needing to re-architect them.
Key capabilities
Native integration with AWS, Azure, and Google Cloud
Consistent operations across on-premise and public environments
Built-in tools for performance monitoring and cost optimisation
Why it matters
VMware Cloud provides one of the easiest paths to hybrid and multi-cloud adoption.
- DigitalOcean
DigitalOcean is designed for simplicity and developer friendliness.
Key capabilities
Fast provisioning for compute, databases, and Kubernetes
Predictable flat pricing without hidden fees
Strong developer community and API-driven workflows
Why it matters
DigitalOcean delivers reliable cloud services with straightforward pricing suited for startups and small businesses.
- Tencent Cloud
Tencent Cloud is a major provider in Asia with increasing global influence.
Key capabilities
Expertise in gaming, live streaming, and media workloads
Advanced edge computing and real-time data delivery
Expanding data centre presence in North America and Europe
Why it matters
Tencent Cloud supports some of the largest gaming and media platforms worldwide.
- Huawei Cloud
Huawei Cloud has expanded significantly across Asia, the Middle East, and Africa.
Key capabilities
Strong support for AI, IoT, and 5G-integrated infrastructure
Competitive pricing for compute and data services
More than 85 Availability Zones across 30 regions
Why it matters
Huawei Cloud increases cloud accessibility in emerging markets through affordability and regional reach.
Comparison summary of the top 11 cloud providers
Below is a clean and concise comparison in point form, replacing the table:
AWS
Strength: Largest service catalog and global reliability
Best for: Enterprises and startups
Unique advantage: Leading scalability and ecosystem depth
Microsoft Azure
Strength: Enterprise and hybrid cloud integration
Best for: Organisations using the Microsoft stack
Unique advantage: Seamless Microsoft environment
Google Cloud
Strength: AI and analytics
Best for: Data-focused businesses
Unique advantage: BigQuery and Vertex AI
IBM Cloud
Strength: Hybrid cloud and compliance
Best for: Regulated industries
Unique advantage: Watson AI and enterprise-grade security
Oracle Cloud
Strength: Database and analytics performance
Best for: Enterprise database workloads
Unique advantage: Autonomous Database technology
Alibaba Cloud
Strength: APAC presence and cost efficiency
Best for: Businesses expanding into Asia
Unique advantage: Regional market dominance
Salesforce Cloud
Strength: CRM and SaaS capabilities
Best for: Sales and marketing teams
Unique advantage: Unified customer experience platform
VMware Cloud
Strength: Virtualisation and hybrid operations
Best for: Enterprises migrating existing workloads
Unique advantage: Smooth on-premise to cloud transition
DigitalOcean
Strength: Simplicity and affordability
Best for: Startups and small businesses
Unique advantage: Developer-friendly experience
Tencent Cloud
Strength: Gaming and media optimisation
Best for: Real-time entertainment workloads
Unique advantage: High-performance delivery
Huawei Cloud
Strength: Global hybrid cloud and affordability
Best for: Emerging markets
Unique advantage: Cost-effective global scaling
Conclusion
Every cloud provider serves a different purpose. Some are built for scale, others for flexibility, performance, or cost efficiency. AWS offers the widest range of services, Google Cloud leads in data intelligence, and DigitalOcean stands out for simplicity. The best cloud platform is the one that aligns with your business model, technical needs, and long-term strategy.
Whether you are building an AI-driven application or scaling a growing SaaS product, understanding these providers will help you make informed decisions that support both performance and growth.
Visualizing Database Design: From Interactive Canvas to Drizzle, Prisma, and SQL in Real-time
Every full-stack developer has been there: you are planning a new
feature, sketching out database tables, and spending half your time
looking up ORM syntax for many-to-many relationships or writing join
tables by hand.
I wanted a tool where I could visually draw my relational tables,
connect the columns, and immediately get clean, copy-pasteable code for
the three targets I use most: PostgreSQL SQL, Prisma ORM, and
Drizzle ORM.
So, I built SchemaDraw(https://schemadraw.netlify.app).
—
### The Architecture: Designing for ₹0 Scale
As an indie hacker, I wanted to launch a tool that could support
thousands of developers without leaving me with a heavy server bill.
To achieve this, SchemaDraw is built as a **100% client-side Single
Page Application (SPA)** using React and Vite:
1. **Client-side Compilation:** The engines that transform your
visual nodes into SQL or TypeScript are entirely written in JavaScript,
running in the user’s browser.
2. Local Storage Persistence: Your work auto-saves locally so
refreshing the tab won’t lose your schema.
3. LZ-Compressed URL Sharing: Instead of saving diagrams to a
server database, SchemaDraw compresses the entire canvas layout and
schema structure into a URL hash component. You can copy the share link
and send it to a teammate—the app reads the hash and redraws the exact
layout with zero server storage costs.
—
### Key Features Built for Developers
* **Protruding Target Handles:** Most ERD tools place connection dots
inside nodes, leading to click collisions. SchemaDraw places handles - outside the borders, lighting up green on valid targets to make
5px
drawing links effortless.
* Interactive Presentation Lock: Toggle read-only mode to safely
present or inspect diagrams without making accidental changes.
* Grid Auto-Layout: Got a messy canvas? One click aligns all your
tables into a clean, alphabetical column-row grid.
* Cohesive Theme Engine: A single click swaps between a clean
Light Slate and a cohesive Pitch-Black interface.
---
### Check it out!
SchemaDraw is open, free, and requires no accounts or signups.
👉 **Try it here:**
I’d love to hear your thoughts! What features, databases, or ORM
compilers would make this a permanent part of your bootstrapping
toolkit? Let me know in the comments below!
A tool to make your GitHub README impossible to ignore 🚀
Your GitHub profile is your developer resume. It’s the first thing recruiters, open-source maintainers and other developers see when they click on your name.
But let’s be honest… most READMEs look exactly the same.
I wanted to add something dynamic, eye-catching and personalized to my profile. I loved the idea of a “typing text” effect, but existing tools felt limited. You couldn’t add modern design trends like neon glows, linear gradients, or glassmorphic macOS windows.
So, I decided to build my own.
Enter ScribeSVG: An ultra-fast, highly customizable typing animation generator for your GitHub README.
✨ What makes ScribeSVG different?
I didn’t just want to build another standard text generator. I wanted this to feel like a premium design tool for developers. Here is what I added:
🎨 14+ Developer Fonts: From Fira Code to Space Mono and Press Start 2P.
🌈 Linear Gradients & Neon Glows: Add cyber-punk glows or sleek Tokyo Night gradients to your text.
🪟 Custom Layouts: Choose between Raw Text, a macOS Terminal Frame, or a Glassmorphic Card.
⚡ Next.js Edge Runtime: It renders in milliseconds globally so your README never lags.
🛠️ The Technical Challenge: Bypassing GitHub’s Sandbox
Building this wasn’t as simple as just returning an SVG. If you’ve ever tried to embed external assets in a GitHub README, you know that GitHub’s camo image proxy is ruthless.
GitHub strips out external stylesheets, blocks <script> tags, and prevents standard web font imports via @import or <link>.
So, how did I get custom fonts like Fira Code to work inside an <img> tag on GitHub?
I had to build a custom renderer that fetches the font file directly from Google Fonts at runtime, converts the .woff2 font into a Base64 Data URI, and dynamically injects it directly into the <style> block of the SVG payload.
Combine that with CSS-only @keyframes animations, and everything is bundled into a single, self-contained SVG response that GitHub’s proxy has no choice but to render perfectly! 🎯
🚀 How to use it in your README
You don’t need to write any code to use it. I built a visual builder that lets you customize everything and generates the Markdown for you.
- Go to scribesvg.vercel.app
- Type your text lines, pick your colors, and tweak the speed.
- Click the Markdown tab under “Get The Code”.
- Paste it into your
README.md!
It looks like this:
[](https://github.com/DhanushNehru/ScribeSVG)
Checkout my github readme to see how things are rendered.
Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery
At the Apache Iceberg Summit last month, Google announced new interoperability features for Apache Iceberg in BigQuery. The preview of the serverless Iceberg REST catalog lets teams create, update, and query the same Apache Iceberg tables in BigQuery and in engines like Spark, Flink, and Trino without duplicating data.
By Renato Losio
