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🚀 Day 2: Learning Snowflake ❄️ 🔍 Understanding Shared Disk vs. Shared Nothing Architectures 🔍 When building scalable systems, two popular architectures often come into play: Shared Disk and Shared Nothing. Let’s break them down simply: 💾 Shared Disk Architecture: All nodes 🖥️ in the system share the same storage, making it easier for centralized data management. However, when multiple nodes try to access data at once, it can slow down due to network congestion 🚦. Great for systems needing reliable shared data like databases 📊. 💡 Shared Nothing Architecture: Here, each node is completely independent, with its own CPU, memory, and storage. It’s perfect for scaling horizontally 🚀 since nodes don’t share resources, resulting in faster performance ⚡. Commonly used in distributed databases and big data platforms 🌐. Understanding the difference can help you choose the right approach based on your data needs and performance goals! 💼 Ankit Bansal Shashank Mishra 🇮🇳 #SharedDiskArchitecture #SharedNothingArchitecture #Scalability #DataArchitecture #TechInsights #DistributedSystems

InfluxData dropped their latest 3.0 architecture update. It's interesting how they're leveraging Apache Arrow for in-memory processing and Parquet files for storage now. Whats interesting is their new approach to handling real-time data - they've got this smart ingester that makes data queryable before it even hits disk storage. However, I'm skeptical about how their custom partitioning will perform in high-pressure environments, especially when dealing with time-sensitive workloads (I been here before, have you?). Still, the multi-tenancy support looks promising for enterprise implementations and eager to give this drive. Anyone had a play yet? #observability #timeseriesDB #dataanalysis #influxdb

The Architect’s Guide to Elasticity webinar with Jonas Bonér, Founder and CTO of Lightbend. Jonas, a leading expert in distributed systems, challenges architects and developers to rethink what true elasticity means by exploring its technical and business benefits while addressing key challenges. Learn the pros and cons of common approaches like database replication, and how to make the right architecture choices to build resilient, elastic systems. Watch the full recording using the link below and let us know your thoughts! https://bit.ly/47YwBhh #ScalableArchitecture #DistributedSystems #ApplicationDevelopment #SoftwareArchitect #Scalability #EventDrivenArchitecture #Akka #Concurrency

It's been great to learn about the SingleStoredb in the live demo. SingleStoreDB is a high-performance, cloud-native database that supports both transactional (OLTP) and analytical (OLAP) workloads. It uses a distributed, in-memory architecture to handle large-scale data with low latency. SingleStoredb intregated with Prisma and Vercel.

📈 Unlock the full potential of your database with a multi-tenant architecture! Dive into our latest blog to discover how TiDB enhances scalability and performance for modern applications. Learn how you can efficiently manage multiple tenants, optimize resources, and drive innovation. Check it out now! 👇 https://lnkd.in/g9KJrAJX #DatabaseManagement #MultiTenant #DistributedSQL #TiDB

An event-driven architecture is a design paradigm that triggers actions based on events in real-time, making it highly suitable for dynamic and data-intensive applications like real-time vector databases. When applied to updating and querying vector databases, event-driven architecture plays a critical role in ensuring the timely ingestion, transformation, and retrieval of fresh data. #VectorDatabase #Redis #Kafka #EventDrivenArchitecture #RealTimeData #MessageBroker

When we built PowerSync using #Postgres logical replication, we ran into some challenges related to making the PowerSync architecture compatible with logical replication assumptions. Conrad Hofmeyr explores some of those challenges and how we solved them.

💻 Data caching occurs at multiple points, from the front-end to the back-end. This diagram depicts the various layers where data is cached within a typical system architecture. There are multiple layers along the data flow path.⚒️ Learn from Alex Xu - Author of 3 best selling books! 📚 #datachaching

The new InfoWorld article names TiDB as a prime example of an intrinsically scalable and reliable distributed SQL database architecture. 🌐 Dive into this insightful article discussing design fundamentals, distributed transactions, disaster recovery (DR), and scalability & reliability in #TiDB. 🚀 Check out the #InfoWorld article to learn more. #DistributedSQL #DatabaseArchitecture

Understanding different NoSql stores and their architecture is critical 🚀 Some things we should definitely understand about the different databases.. 1. Exact Type 2. Replication Techniques 3. Consistency Protocol 4. Node discovery Mechanism 5. Partitioning Strategy Here is an amazing comparison and details of multiple popular databases 👇 Follow Arpit Adlakha for more !