AI Notes

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Tag: Platform

  • Competition Between NVIDIA and Broadcom Offerings

    NVIDIA vs. Broadcom: Competition (April 2025) Historical Differentiation NVIDIA: Pioneered & dominates the general-purpose GPU market, with a strong foothold in AI, gaming, & professional visualization. Their CUDA platform is a significant barrier to entry. Broadcom: Traditionally a leader in custom ASICs for networking & communication infrastructure. Their entry into custom AI silicon leverages their… Read more

  • Top 10 Autonomous Workflow Platforms

    Top 10 Autonomous Workflow Platforms (2025) While the term “autonomous workflow platform” is still evolving and often overlaps with “AI-powered workflow automation” or “intelligent automation,” here’s a list of 10 platforms that are leading the way in incorporating AI and autonomous capabilities into their workflow automation offerings in 2025: Lindy AI: This platform focuses on… Read more

  • Cloud Computing Market Share: AWS vs. Azure vs. GCP

    Cloud Computing Market Share: AWS vs. Azure vs. GCP (April 2025) Cloud Computing Market Share: AWS vs. Azure vs. GCP (April 2025) As of April 26, 2025, the cloud computing landscape continues to be dominated by a few key players. While the market is dynamic, here’s a snapshot of the current standing of AWS, Azure,… Read more

  • Top 10 Kafka Monitoring Tools

    Monitoring your Apache Kafka cluster is essential for maintaining its health, performance, and reliability. The right tools provide crucial insights into brokers, topics, partitions, consumer groups, and overall system behavior. Here are 10 top Kafka monitoring tools to consider for your deployment: 1. Prometheus with Grafana Description: Prometheus, an open-source monitoring system, excels at collecting… Read more

  • Monitoring Apache Kafka infrastructure using New Relic

    One can effectively monitor Apache Kafka infrastructure using New Relic through several methods: 1. Kafka On-Host Integration (Recommended for most self-managed Kafka deployments): 2. Java Agent (for monitoring Java-based Producers and Consumers): 3. OpenTelemetry (for a vendor-agnostic approach): 4. Kafka Connect New Relic Connector (for sending data from Kafka Connect to New Relic): Choosing the… Read more

  • Data Lake vs. Data Lakehouse: Understanding Modern Data Architectures

    Organizations today grapple with ever-increasing volumes and varieties of data. To effectively store, manage, and analyze this data, different architectural approaches have emerged. Two prominent concepts in this landscape are the data lake and the data lakehouse. While both aim to provide a centralized data repository, they differ significantly in their design principles and capabilities.… Read more

  • Kafka CPU Tuning Guide

    Optimizing CPU usage in your Kafka cluster is essential for achieving high throughput, low latency, and overall stability. Here’s a comprehensive guide to help you effectively tune Kafka for CPU efficiency: 1. Understanding Kafka’s CPU Consumption 2. Monitoring CPU Usage 3. Tuning Strategies 4. Best Practices By following these guidelines, you can effectively tune your… Read more

  • gRPC vs HTTP

    gRPC (gRPC Remote Procedure Calls) and HTTP (Hypertext Transfer Protocol) are both fundamental protocols used for communication between applications, but they differ significantly in their design, features, and typical use cases. Here’s a comprehensive comparison: gRPC HTTP Key Differences Summarized: Feature gRPC HTTP Protocol RPC framework over HTTP/2 Application protocol (various versions) Data Format Primarily… Read more