The hottest Scalability Substack posts right now

And their main takeaways
Category
Top Technology Topics

Vroom Goes Bust: A Cautionary Tale in the Fast Lane of Online Used-Car Sales

Gad’s Newsletter • 23 implied HN points • 29 Jan 24
💼 Business E-commerce Financial Analysis Scalability Future outlook
  1. Vroom, a once promising player in online used-car sales, faced financial struggles and announced ceasing e-commerce operations.
  2. Comparison between Carvana and Vroom reveals operational challenges like inventory turnover, highlighting Vroom's decline in efficiency.
  3. Online used-car platforms face hurdles like high inventory costs, aging inventory, and challenges in digital transformation.

The Future of ESG Reporting in Developing Economies: Blockchain-Powered Accountability

Concordium Monthly Updates • 117 implied HN points • 06 Sep 23
🕹 Technology Blockchain Data Privacy Scalability
  1. ESG reporting in developing economies faces challenges like lack of awareness, resources, and regulatory frameworks.
  2. Concordium's blockchain technology offers transparency, accountability, and efficiency for ESG reporting.
  3. Concordium's use of sharding, ZKP, inbuilt identity layer, and layer 1 structure enhances ESG reporting in developing economies.
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Enhancing DeFi: Using Concordium's feature-rich blockchain

Concordium Monthly Updates • 137 implied HN points • 24 May 23
🔮 Crypto Blockchain DeFi Scalability Security
  1. DeFi has the potential to revolutionize traditional finance by creating a more open and accessible financial ecosystem.
  2. To address security concerns, Concordium offers privacy-enhancing features to protect user identities.
  3. Concordium tackles scalability issues by implementing a unique architecture that ensures high throughput and efficiency.

A deep dive on Bitcoin's flaws and how to fix them

Senatus’s Newsletter • 78 implied HN points • 21 Jul 23
🔮 Crypto Security Decentralization Affordability Scalability
  1. A perfect cryptocurrency needs to have uncensorability, certainty of supply, and transferability as a store of value.
  2. Bitcoin faces challenges with decreasing security spend and centralization of hashrate, impacting its resilience to attacks.
  3. Issues in Bitcoin such as affordability, speed, and scalability make it less efficient as a medium of exchange, while alternative cryptocurrencies offer better solutions.

3 quick tips on how to build more scalable systems [System Design Sundays]

Technology Made Simple • 119 implied HN points • 17 Apr 23
🕹 Technology System Design Scalability Engineering Software Architecture
  1. Location matters: Place software close to clients for faster response times using CDNs, edge computing, or geo-replication.
  2. Cache wisely: Optimize speed by using in-memory caching, database caching, or web caching to avoid repeated actions.
  3. Async is key: Improve efficiency with asynchronous processing through message queues, event-driven architectures, or microservices.

Discomforts of Great Design Management

Product Composition • 117 implied HN points • 03 Mar 23
🪑 Design Management Trust Responsibility Scalability Authenticity
  1. Your work in design management is naturally unquantifiable, leading to anxiety and dissatisfaction in many managers.
  2. As a design manager, prioritize building trust with your team, even in challenging situations.
  3. Design managers need to be responsible for the output, not just facilitate, and balance scalable with unscalable practices.

System Design of Uber's CacheFront - Serving more than 40 million low-latency reads per second

Engineering At Scale • 4 HN points • 03 Mar 24
🕹 Technology System Design Caching Databases Scalability Integrations
  1. Uber developed CacheFront, an integrated caching solution to overcome problems like maintenance overhead, reduced developer productivity, and region failovers caused by using Redis for caching
  2. Docstore's architecture includes a Control plane, Query Engine, and Storage Engine, with relevant responsibilities for each layer like query execution, data persistence, transaction management, and more
  3. CacheFront's design addressed non-functional requirements like consistency guarantees, cache warming & region failovers, fault tolerance, hot partition issues, and performance & cost improvements

A Deep Dive into the Underlying Architecture of Groq's LPU

Confessions of a Code Addict • 4 HN points • 01 Mar 24
🕹 Technology Hardware Compiler Distributed Systems Scalability Reliability
  1. Groq's LPU showcases an innovative design departing from traditional architectures, focusing on deterministic execution for enhanced performance.
  2. The TSP architecture achieves determinism through a simplified hardware design, enabling precise scheduling by compilers for predictable performance.
  3. Groq's approach to creating a distributed multi-TSP system eliminates non-determinism typical in networked systems, with the compiler efficiently managing data movement.

Common iPaaS Challenges

The API Changelog • 3 implied HN points • 28 Feb 24
🕹 Technology Integration Customization Scalability
  1. Setting up the right iPaaS solution for your business comes with challenges due to integrating systems with different data formats and protocols.
  2. Customization is critical in iPaaS solutions to manipulate data, interpret errors, and adapt to changes in APIs for successful integrations.
  3. Scalability in iPaaS solutions is essential to handle increasing requests, queueing for load balancing, and prioritizing requests to prevent overload and ensure integration continuity.

Google's 3 Pillars for Building Resilient and Scalable Systems [Systems Design Sundays]

Technology Made Simple • 79 implied HN points • 12 Dec 22
🕹 Technology Systems Design Automation Scalability Resilience
  1. Scalability is crucial for systems to handle increased loads like more users without losing performance.
  2. Resilient systems can handle various challenges like constant user actions and security threats.
  3. Automation and loose coupling are key pillars for enhancing the scalability and resilience of systems.

The Evolution of iPaaS

The API Changelog • 3 implied HN points • 10 Jan 24
🕹 Technology Integration Scalability
  1. iPaaS evolved from manual, inefficient data exchange methods before the rise of EAI and SOA.
  2. Modern iPaaS is cloud-based, user-friendly, and supports real-time integration for businesses.
  3. Challenges in iPaaS evolution include security, data privacy, legacy system integration, and the emerging use of AI.

It's not the DevOps engineers’ fault that the ecosystem is broken

Condensing the Cloud • 19 implied HN points • 18 Apr 23
🕹 Technology Software Development DevOps Ecosystem Version Control Scalability
  1. Blaming DevOps engineers for a broken ecosystem is counterproductive; collaboration is key.
  2. Version control systems may not always control software versions effectively, requiring additional tools in the software supply chain.
  3. Implementing scalable technologies like Kubernetes may not always be the best decision and can lead to inefficiencies.

System Design Concepts: Dive deep into Database Sharding Strategies

Engineering At Scale • 2 HN points • 05 Aug 23
🕹 Technology System Design Scalability Performance Data security
  1. Range-Based Sharding divides data based on ranges like organizing books in bookshelves to make searches easier.
  2. Hash-Based Sharding evenly distributes data across different shards using a hash function, but may require data rebalancing when the number of shards changes.
  3. Consistent Hashing minimizes data movement when adding or removing shards, improving scalability while Geo-Based Sharding stores data close to users for better performance.

System Design Fundamentals: Understanding Scalability

Engineering At Scale • 0 implied HN points • 10 Jun 23
🕹 Technology System Design Scalability Cloud Computing Infrastructure Software Development
  1. Scalability is crucial for software systems to handle increasing demand and data.
  2. Building scalable systems can involve horizontal scaling (adding more machines) or vertical scaling (adding more resources to the same machine).
  3. Cloud technologies, like auto-scaling and managed databases, offer solutions for building scalable systems.

How to Design Software — Image Uploaders

Joseph Gefroh • 0 implied HN points • 19 Oct 19
🕹 Technology Software Design Image Processing Scalability Security
  1. When designing a system for image uploading, it's important to consider technical concerns such as displaying, authorizing, validating, processing, storing, and associating the images.
  2. Tradeoffs to think about include scaling to handle large uploads efficiently, ensuring security to prevent vulnerabilities, managing authorization based on business logic, and maintaining consistency in the image uploading workflow.
  3. A well-designed image uploading system should support creating and using various image variants, offloading processing to separate services, ensuring consistent growth across subsystems, and establishing clear architectural boundaries for scalability.

The Nextjs that runs on Vercel is not the same that runs on your infrastructure

Microfrontends, Architecture and Trade-offs • 0 implied HN points • 03 Jan 24
🕹 Technology Frameworks Serverless Containers Scalability Infrastructure
  1. When using modern frameworks like NextJS or Remix, running on serverless infrastructure is common and efficient.
  2. Deploying a NextJS app on Vercel leverages serverless/edge functions, leading to better scaling without nodejs event loop limitations.
  3. For more control and customization, consider options like deploying NextJS in a containerized, auto-scalable environment or creating a custom framework using vite-plugin-ssr.