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@kala shared an update, 3 weeks, 2 days ago
FAUN.dev()

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight

Ansible Slurm Lustre INTELLECT-3

INTELLECT-3, a 100B+ parameter model, sets new benchmarks in AI, with open-sourced training components to foster research in reinforcement learning.

A New Challenger: INTELLECT-3's 100B Parameters Punch Above Their Weight
 Activity
@kala added a new tool INTELLECT-3 , 3 weeks, 2 days ago.
 Activity
@devopslinks added a new tool Lustre , 3 weeks, 2 days ago.
 Activity
@varbear added a new tool Slurm , 3 weeks, 2 days ago.
Course
@eon01 published a course, 3 weeks, 3 days ago
Founder, FAUN.dev

Cloud Native CI/CD with GitLab

GitLab GitLab CI/CD Helm Prometheus Docker GNU/Linux Kubernetes

From Commit to Production Ready

Cloud Native CI/CD with GitLab
Course
@eon01 published a course, 3 weeks, 5 days ago
Founder, FAUN.dev

Observability with Prometheus and Grafana

Prometheus Docker k3s Grafana GNU/Linux Kubernetes

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

Observability with Prometheus and Grafana
Course
@eon01 published a course, 3 weeks, 5 days ago
Founder, FAUN.dev

Cloud-Native Microservices With Kubernetes - 2nd Edition

Helm Jaeger OpenTelemetry Prometheus Docker Grafana Loki Grafana Kubernetes Kubectl

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

Cloud-Native Microservices With Kubernetes - 2nd Edition
Course
@eon01 published a course, 3 weeks, 5 days ago
Founder, FAUN.dev

Building with GitHub Copilot

GitHub Copilot Go Python

From Autocomplete to Autonomous Agents

Building with GitHub Copilot
Link
@anjali shared a link, 3 weeks, 5 days 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.

Otel_injector
 Activity
@devopslinks added a new tool Fleet , 3 weeks, 6 days ago.
At its core, Argo CD treats Git as the single source of truth for application definitions. You declare the desired state of your Kubernetes applications in Git (manifests, Helm charts, Kustomize overlays), and Argo CD continuously compares that desired state with what is actually running in the cluster. When drift is detected, it can alert you or automatically reconcile the cluster back to the Git-defined state.

Argo CD runs inside Kubernetes and provides:

- Declarative application management
- Automated or manual sync from Git to cluster
- Continuous drift detection and health assessment
- Rollbacks by reverting Git commits
- Fine-grained RBAC and multi-cluster support

It integrates natively with common Kubernetes configuration formats:

- Plain YAML
- Helm
- Kustomize
- Jsonnet

Operationally, Argo CD exposes both a web UI and CLI, making it easy to visualize application state, deployment history, diffs, and sync status. It is commonly used in platform engineering and SRE teams to standardize deployments, reduce configuration drift, and enforce auditability.

Argo CD is part of the Argo Project, which is hosted by the Cloud Native Computing Foundation (CNCF), and is widely adopted in production Kubernetes environments ranging from startups to large enterprises.