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@anjali shared a link, 2 weeks, 3 days ago
Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Proposes Changes to Stability, Releases, and Semantic Conventions

OpenTelemetry proposes stability changes: stable-by-default distributions, decoupled instrumentation, and epoch releases for production deployments.

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@laura_garcia shared a post, 2 weeks, 4 days ago
Software Developer, RELIANOID

deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform

🚀 New Technical Guide Available! You can now deploy the RELIANOID Load Balancer Community Edition v7 on Azure using Terraform in just a few minutes: ✔️ Install prerequisites (Terraform, Azure CLI, SSH keys) ✔️ Use the official Terraform module from the Registry ✔️ Automatically provision all Azure r..

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@pixel_og started using tool Thanos , 2 weeks, 4 days ago.
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@pixel_og started using tool Terraform , 2 weeks, 4 days ago.
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@pixel_og started using tool Talos Linux , 2 weeks, 4 days ago.
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@pixel_og started using tool Python , 2 weeks, 4 days ago.
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@pixel_og started using tool Prometheus , 2 weeks, 4 days ago.
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@pixel_og started using tool OpenTofu , 2 weeks, 4 days ago.
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@pixel_og started using tool NixOs , 2 weeks, 4 days ago.
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@pixel_og started using tool Nginx , 2 weeks, 4 days ago.
Grafana Mimir is an open-source distributed time-series database developed by Grafana Labs, designed to store and query Prometheus metrics at massive scale. It provides a horizontally scalable, multi-tenant, and highly available backend that enables organizations to run Prometheus monitoring with virtually unlimited retention and capacity.

Mimir is built for modern observability stacks, offering features like query sharding, data compaction, object storage integration (S3, GCS, Azure Blob), and efficient deduplication for high cardinality workloads. It’s compatible with the Prometheus remote_write and remote_read APIs, making it easy to integrate into existing Prometheus ecosystems.

As part of the Grafana open observability suite, Mimir can be deployed independently or alongside Loki (for logs) and Tempo (for traces) to build a complete, scalable observability platform.