A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.
Updates and recent posts about Grafana Mimir.. Activity
@kala added a new tool DeepSeekMath-V2 , 3 weeks, 6 days ago.
Activity
@kala added a new tool INTELLECT-3 , 3 weeks, 6 days ago.
Activity
@devopslinks added a new tool Lustre , 3 weeks, 6 days ago.
Course
@eon01 published a course, 4 weeks ago
Founder, FAUN.dev
Course
@eon01 published a course, 1 month ago
Founder, FAUN.dev
Observability with Prometheus and Grafana
A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems
Course
@eon01 published a course, 1 month ago
Founder, FAUN.dev
Cloud-Native Microservices With Kubernetes - 2nd Edition
A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes
Course
@eon01 published a course, 1 month ago
Founder, FAUN.dev
Link
@anjali shared a link, 1 month ago
Customer Marketing Manager, Last9
Instrument Jenkins With OpenTelemetry
Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.
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.
