Past Meetup

Kubernetes to the rescue! & Day 2 Data Ops for multi cluster Kubernetes

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Hi Kubernauts,

it's Meetup time again in Hamburg. Join us for our next Kubernetes and Cloud-Native Meetup @EOS on December 5th.

Agenda:

6:30 pm - Admission & Welcome
7:00 pm - Akmal Chaudhri
7:30 pm - Joe Gardiner
8:00 pm - Food & Drinks & Networking

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Akmal Chaudhri

"Distributed Database DevOps Dilemmas? Kubernetes to the rescue!"

Distributed databases can make so many things easier for a developer, but not always for DevOps. Kubernetes has come to the rescue with an easy application orchestration!
It is straightforward to do the orchestration leaning on relational databases as a data layer. However, it is more difficult to do the same when a distributed SQL database or other kind of distributed storage is used instead.
In this presentation, attendees will learn how Kubernetes can orchestrate a distributed database like Apache Ignite, in particular:
• Cluster Assembling - database nodes auto-discovery in Kubernetes.
• Database Resilience - automated horizontal scalability.
• Database Availability - what’s the role of Kubernetes and the database.
• Utilizing both RAM and disk - set up Apache Ignite in a way to get in-memory performance with the durability of disk.

A bit more about Ignite: Apache Ignite is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time, orders of magnitude faster than possible with traditional disk-based or flash technologies.

Ignite is a collection of independent, well-integrated, in-memory components geared to improve the performance and scalability of your application. Some of these components include: Advanced Clustering, Data Grid, SQL Grid, Streaming and CEP, Compute Grid, Service Grid, and the Ignite File System. Ignite also has integrations for accelerating data processing frameworks such as Hadoop and Spark.

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Joe Gardiner

Day 2 Data Ops for multi cluster Kubernetes

Joe Gardiner - Technical Lead at Portworx will discuss the challenges of handling data in Kubernetes, and some of the pitfalls over data management in multi-tenant or multi-cluster deployments. He’ll then introduce STORK (STorage ORchestration for Kubernetes) - an open-source project from Portworx - and demonstrate cluster to cluster app and data migration.

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If you have any questions, please feel free to ask in the comment section below.

See you there!