Cloud Native CI/CD with GitLab
From Commit to Production Ready
Updates and recent posts about DeepSeekMath-V2.. Course
@eon01 published a course, 2ย months ago
Founder, FAUN.dev
Course 
@eon01 published a course, 2ย 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, 2ย 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, 2ย months ago
Founder, FAUN.dev
Link
@anjali shared a link, 2ย 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.
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@devopslinks added a new tool Fleet , 2ย months ago.
ย Activity
@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 2ย months ago.
Course
@eon01 published a course, 2ย months ago
Founder, FAUN.dev
End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
The full journey from nothing to production
Story
@laura_garcia shared a post, 2ย months ago
Software Developer, RELIANOID
๐ฅ ๐๐น๐ฎ๐ฐ๐ธ ๐๐ฟ๐ถ๐ฑ๐ฎ๐ ๐ฎ๐ ๐ฅ๐๐๐๐๐ก๐ข๐๐: ๐๐ ๐ฐ๐น๐๐๐ถ๐๐ฒ ๐ฃ๐ฟ๐ผ๐บ๐ผ๐๐ถ๐ผ๐ป๐ ๐๐ฟ๐ฒ ๐๐ถ๐๐ฒ! ๐ฅ
This year, weโre taking Black Friday to the next level โ with ๐๐ฎ๐ถ๐น๐ผ๐ฟ๐ฒ๐ฑ ๐ฝ๐ฟ๐ผ๐บ๐ผ๐๐ถ๐ผ๐ป๐ designed specifically for our users, partners, and customers, who will receive their ๐ฒ๐ ๐ฐ๐น๐๐๐ถ๐๐ฒ ๐ผ๐ณ๐ณ๐ฒ๐ฟ ๐ฑ๐ถ๐ฟ๐ฒ๐ฐ๐๐น๐ tomorrow, perfectly matched to their environment โก๏ธ ๐ ๐๐๐๐๐ผ๐บ๐ถ๐๐ฒ๐ฑ ๐ข๐ณ๐ณ๐ฒ๐ฟ๐ ๐ณ๐ผ๐ฟ ๐๐๐ฒ๐ฟ๐ ๐ก๐ฒ๐ฒ๐ฑ. ๐ ๐๐ผ ๐๐ผ๐ ๐๐ฎ๐ป๐ ๐๐ผ ๐ธ๐ป๐ผ..
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@thiagoterzi shared a post, 2ย months ago
CEO, dgt27
Overcoming Data Duplication in CRM Systems
Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.
This approach enables rigorous, step-by-step reasoning suitable for theorem proving, scientific research, and domains requiring high-integrity logic. The model is trained through a generation-verification loop involving a dedicated LLM-based verifier and reinforcement learning optimized for proof correctness rather than answer matching.
DeepSeekMath-V2 achieves gold-level scores on IMO 2025 and CMO 2024, along with a groundbreaking 118/120 on the Putnam 2024 contest. Released under the Apache 2.0 license and hosted on Hugging Face, it is fully open source for research and commercial use.
