Rootconf Delhi edition

On network engineering, infrastructure automation and DevOps

Meeseeks(Service-Graph)

Submitted by Gaurav Sharma (@gaurav75) on May 6, 2019

Section: Crisp talk Technical level: Intermediate Session type: Lecture Section: Crisp talk (20 mins) Category: Distributed systems Section: Full talk (40 mins) Category: Distributed systems Status: Confirmed & scheduled

Abstract

In Flipkart’s cloud environment thousands of developers keep adding new applications/features to the existing tech ecosystem which makes it ever evolving. In system like this how do you find answers for challenges like:
- How do you handle large-scale failures(disasters). - How does my service impacts our tech ecosystem. - What all applications a particular application is taking a dependency on. - Are a set of applications interacting are interacting with each other as expected.

We built Meeseeks as infrastructures-framework to solve above set of challenges and many more. Meeseeks provide core application graph data of the ecosystem and allows it to be enriched with different domain-specific data to solve for specific use cases like service orchestration in case of Business Continuity, RTO adherence for services, ensure data backups configured for all stateful deployments, impact radius of service outage to name a few.

Moreover, we will be talking about how Meeseeks provides a DAG of services which can help in service orchestration in disaster scenarios. How it provides visualization of the service dependencies and how it evolves over time. And how it can provide a notification/alerting system if an unknown/new set of services start taking a dependency on a particular service.

Outline

Large application ecosystem and challenges
Handling large scale failures (BCP)
Meeseeks
Applications of Meeseeks

Speaker bio

Gaurav Sharma
He is an engineer at Flipkart Cloud Platform.

Slides

https://speakerdeck.com/gaurav75/meeseeks-final-edit

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