DBaaS + Kubernetes: The key to multi-cloud developer productivity? [WEBINAR ANNOUNCEMENT]

This page summarizes the projects mentioned and recommended in the original post on /r/k8s
aiven aiven-cloud Apache Kafka pyton fake-data-generator

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • python-fake-data-producer-for-apache-kafka

    The Python fake data producer for Apache Kafka® is a complete demo app allowing you to quickly produce JSON fake streaming datasets and push it to an Apache Kafka topic.

    • Onboarding an engineering team to Kubernetes itself is stressful enough. The result is that DevOps teams primarily think about how to design workflows around this technology. But not everything an application depends on run inside Kubernetes. File-storage, DNS and databases are something you have to deal with as well. And this is where the developer experience usually breaks. This "break" leads to an increase in manual tasks for the ops team.In this webinar we are organizing with DBaaS provider Aiven we will cover:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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