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ContentUpdates and recent posts about Grafana Mimir..
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@kaptain added a new tool pgEdge , 1 day, 3 hours ago.
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@devopslinks shared an update, 1 day, 3 hours ago
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IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs

IncusOS

IncusOS, an immutable operating system for running Incus, debuts with atomic updates and boot security, based on a minimal Debian 13, managed via the Incus API.

IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs
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@devopslinks added a new tool IncusOS , 1 day, 3 hours ago.
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@hanaou started using tool R2Devops , 1 day, 4 hours ago.
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@hanaou started using tool Kubernetes - The Easier Way , 1 day, 4 hours ago.
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@hanaou started using tool Azure Pipelines , 1 day, 4 hours ago.
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@hanaou started using tool Agile Stacks DevOps Automation Platform , 1 day, 4 hours ago.
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@laura_garcia shared a post, 1 day, 4 hours ago
Software Developer, RELIANOID

The Next Paradigm in High Availability System Design

🌟 We’re proud to share the latest article from our CEO, whose vision and deep technical insight continue to drive innovation at RELIANOID. In her new article — “From Single Processors to the Post-Quantum Era and Autonomous Resilience: The Next Paradigm in High Availability System Design” — she expl..

laura garcia medium article
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@kala shared an update, 1 day, 4 hours ago
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Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context

Grok 4, a multimodal AI model, significantly enhances reasoning and non-reasoning task accuracy with a 2 million token context window, offering versatile applications and cost-effective API pricing.

Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context
News FAUN.dev() Team
@kaptain shared an update, 1 day, 6 hours ago
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ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality

ZEDEDA just released Edge Kubernetes App Flows, a full-stack, AI-friendly edge solution that simplifies deploying and managing Kubernetes apps at scale - even across thousands of edge clusters.

ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality
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.