Introducing the Shastra of Macrometa: Harnessing Real-Time Data with a Hyper Distributed Cloud
Are your customer experiences and profitability affected by the limitations of centralized cloud platforms? Do you want to leverage globally distributed applications with ultra-low-latency performance? Look no further than the Macrometa Global Data Network (GDN).
In the Shastra of Macrometa, written by CEO and Co-founder Chetan Venkatesh, you'll discover the core principles behind real-time data and how we're able to achieve low latency and data synchronization at scale. You'll also learn about the key features of Macrometa’s Global Data Network (GDN): Global Data Mesh, Edge Compute, and Data Protection.
Shastra is Sanskrit term that refers to a written text or treatise related to philosophy or principles. These texts are considered authoritative sources of knowledge and expertise in their respective fields.
Let’s run through the highlights and sections of the eBook to learn more about the value of real-time data, Macrometa principles, and GDN features. But first let’s talk about the benefits of a hyper-distributed cloud.
A hyper distributed cloud for scale, performance and reliability
A hyper distributed cloud is a network of interconnected nodes, data centers or Points of Presence (PoPs) distributed across multiple geographic locations. Rather than relying on a centralized data center (whether on-premises or cloud service provider), a hyper distributed cloud spreads workloads across multiple PoPs, enabling faster processing, lower latency, and improved reliability. It can be configured to comply with various data privacy regulations, allowing businesses to maintain compliance with ease. A hyper distributed cloud is an ideal choice for businesses that require high performance, low latency, and reliability across different regions and geographies. Now, let’s cover the key sections of the eBook.
The power of real-time data
Data is a fundamental unit of value creation and businesses need to leverage vast amounts of operational business insights to create innovative digital services. The Macrometa GDN is a modern, hyper-distributed cloud platform that enables the processing and analysis of data in real-time from anywhere in the world, reducing network transit costs and time complexity, enabling high resiliency with a consistent end-user experience, and overcoming data jurisdiction challenges. The GDN enables organizations to add real-time data capabilities to their existing cloud applications or create brand new ones to drive innovation and deliver value in a wide range of industries.
GDN - a converged, hyper distributed cloud platform
The Macrometa GDN is a distributed system that allows for the sharing of data and microservices across multiple regions or data centers around the world, creating a seamless movement of data across physical, logical, and geographical boundaries. The GDN converges a suite of NoSQL data stores, real-time search, complex event processing, data connectors, and edge computing capabilities to create a highly scalable, low latency, hyper distributed cloud platform for real-time applications and APIs.
Architectural principles of the Macrometa GDN
The GDN's data replication protocol uses Conflict-free Replicated Data Types (CRDTs) to enable extremely fast data replication between thousands of geographically separated data centers or PoPs without the need for a centralized arbitration layer. This eliminates the need for consensus algorithms and offers several advantages over more centralized approaches, such as greater scalability and fault tolerance, more flexible data replication topologies, and faster and more efficient replication.
Learn more about the architectural concepts that make the Macrometa GDN a highly scalable, low latency, hyper distributed cloud platform in the eBook.
Key features of the Global Data Mesh, Edge Compute, and Data Protection
Let’s go over the three main components of the Macrometa GDN. The Global Data Mesh offers several data stores, such as Key Value, JSON Document, Graph, and Search Stores, as well as support for Pub-Sub and Change Data Capture. Edge Compute enables low-latency microservices, WASM functions, and containers to be deployed close to the source of the data. Query Workers are responsible for executing queries, transformations, mutations, and Stream Workers process data streams in real-time and allow developers to build complex event processing applications, data enrichment pipelines, and real-time analytics. Finally, Data Protection includes GeoFabrics, Region-Based Secure Vaults, and Data Tokenization to ensure compliance, security, and privacy for sensitive and regulated data.
Download the Shastra of Macrometa to unlock data value
We are really excited to have you read this technical exploration of how a hyper distributed cloud platform works and the architectural principles and features of the Macrometa GDN. Whether you're a developer looking to create scalable applications or a CEO interested in harnessing the power of real-time operational data, this eBook is a must-read.
Download your copy today and learn more about enabling real-time data insights - anywhere in the world - with the power of the Macrometa GDN.