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Editor: Donald Hunter
Introduction
Innovation in the big data space is extremely rapid, but composing the multitude of technologies together into an end-to-end solution can be extremely complex and time-consuming. The vision of PNDA is to remove this complexity, and allow you to focus on your solution instead. PNDA is an integrated big data platform for the networking world, curated from the best of the Hadoop ecosystem. PNDA brings together a number of open source technologies to provide a simple, scalable, open big data analytics platform that is capable of storing and processing data from modern large-scale networks. It supports a range of applications for networks and services covering both the Operational Intelligence (OSS) and Business intelligence (BSS) domains. PNDA also
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includes components that aid in the operational management and application development for the platform itself.
The current focus of the PNDA project is to deliver a fully cloud native PNDA data platform on Kubernetes. Our focus this year has been migrating to a containerised and helm orchestrated set of components, which has simplified PNDA development and deployment as well as lowering our project maintenance cost. Our current goal with the Cloud-native PNDA project is to deliver the PNDA big data experience on Kubernetes in the first half of 2020.
PNDA provides the tools and capabilities to:
- Aggregate data like logs, metrics and network telemetry
- Scale up to consume millions of messages per second
- Efficiently distribute data with publish and subscribe model
- Process bulk data in batches, or streaming data in real-time
- Manage lifecycle of applications that process and analyze data
- Let you explore data using interactive notebooks
PNDA Architecture
PNDA Operational View
The PNDA dashboard provides an overview of the health of the PNDA components and all applications running on the PNDA platform. The health report includes active data path testing that verifies successful ingress, storage, query and batch consumption of live data.
3.7 SNAS
Editor: <TBD>
3.8 Tungsten Fabric
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