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Turning log data into real time insights. Real-time log aggregation and analysis to any S3 compatible object-store| Eliminate Cost Per GB | www.logiq.ai

If you’ve been looking for an inexpensive way to run your own observability stack while maintaining complete control over your data and its security, look no further. The LOGIQ PaaS Community Edition is officially live!

  • Self-host your observability stack on a cloud provider of your choice — public or private
  • Ingest up to 50GB of log data per day with unlimited data retention
  • Store your log data on any S3-compatible cloud provider via the built-in Minio S3 service
  • Ingest logs from Syslog, RSyslog, Logstash, Fluent, AWS Firelens, JSON, and plenty more
  • Run up to 4 ingest worker processes





We’re huge fans of Helm Charts and the simplicity they bring to complex application deployments on Kubernetes and MicroK8s. We showed you how you could use Helm Charts to deploy LOGIQ on MicroK8s in a previous post. As a follow-up to that article, we’d like to show you how Helm Charts are equally helpful in deploying complex applications on other certified Kubernetes distributions such as K3s. In this article, you’ll learn how we use Helm Charts to deploy the LOGIQ observability platform on K3s. If you’ve never used K3s or Helm Charts before, you can use this article to get acquainted with both.

What is K3s?






Cloudformation vs. Terraform: Which is better?

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