How to Provision a MongoDB Cluster in Kubernetes?
SPEAKER: Peter Szczepaniak
CO-SPEAKER: DIOGO RECHARTE
Abstract:
Deploying databases on Kubernetes introduces both opportunities and challenges. In this presentation, Peter and Diogo will cut through the complexity, offering insights into effective MongoDB strategies in a Kubernetes setting. Beginning with an introductory overview of database deployment on k8s, they will discuss a critical comparison between private and public DBaaS offerings, shedding light on how businesses can leverage these models to meet their specific needs.
They will then focus on open-source database platforms for private clouds, presenting viable options and their pros and cons. A highlight of this talk is a live demonstration of MongoDB on Kubernetes, showcasing how to deploy a MongoDB cluster, execute backups, and navigate various recovery options to ensure data resilience.
The presentation will also give a peek into the inner workings of open-source database platforms, offering attendees a deeper understanding of their operation.
Designed for developers, DevOps professionals, and IT strategists, this talk is a full guide to mastering database deployment, specifically MongoDB, on Kubernetes, combining theoretical knowledge with practical demo for a comprehensive learning experience.
Don't miss this opportunity to:
- ^Simplify database deployments on Kubernetes.
- ^Leverage the best DBaaS model for your business.
- ^Ensure data resilience with MongoDB on Kubernetes.
- ^Navigate the open-source database landscape with confidence.
The meetup has ended. The recording is available to watch on demand.
About the Speakers
Peter Szczepaniak
Sr. Product Manager at Percona
Peter Szczepaniak is a Senior Product Manager at Percona with a demonstrated history in the internet industry. He brings expertise in User Experience (UX), Coaching, E-commerce, and Agile Methodologies.
Diogo Recharte
Backend Software Engineer at Percona
Diogo Recharte is leading the engineering of an open-source Kubernetes-native Database as a Service (DBaaS) solution.
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