How Macrometa Works
How we're harnessing the power of real-time data with a hyper distributed cloud
Today’s cloud platforms and architectures are still heavily centralized and come with several drawbacks in terms of latency, cost, and resilience. But what if we could process and analyze this operational data in real-time from anywhere in the world?
Shastra is a 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.
The Shastra of Macrometa is a technical exploration of the Global Data Network (GDN) and our core principles behind real-time data. The GDN empowers developers to create scalable, low-latency, and globally distributed applications that can process and analyze data in real-time from anywhere. By leveraging the GDN's features, developers can build applications that overcome the limitations of centralized cloud platforms and deliver superior user experiences with ultra-low-latency
In our eBook, you'll learn:
- How a hyper distributed cloud platform works
- The architectural principles of the Macrometa GDN
- How we're able to achieve data replication and synchronization at scale
- The key features of the Macrometa converged platform: Global Data Mesh, Edge Compute, and Data Protection
This eBook, written by Macrometa CEO and co-founder Chetan Venkatesh, is a must-read for modern technologists that want to harness the power of real-time operational data.