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 Git..
Activity
@kala added a new tool INTELLECT-3 , 4 months, 3 weeks ago.
Activity
@devopslinks added a new tool Lustre , 4 months, 3 weeks ago.
Course
@eon01 published a course, 4 months, 4 weeks ago
Founder, FAUN.dev
Course
@eon01 published a course, 5 months 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, 5 months 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, 5 months ago
Founder, FAUN.dev
Link
@anjali shared a link, 5 months 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.
Activity
@devopslinks added a new tool Fleet , 5 months ago.
Git is distributed by design. Every clone contains the full repository history, which allows developers and automation systems to work offline, create branches freely, and synchronize changes without relying on a central server for every operation.
In modern cloud-native workflows, Git acts as the source of truth. Desired state is declared in Git, reviewed through pull requests, and promoted across environments by merging changes rather than applying ad-hoc commands. This is the foundation of GitOps.
Git does not deploy anything by itself. Its role is to capture intent, history, and collaboration, while other tools turn that intent into running systems.
