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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
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Software Developer, RELIANOID

๐Ÿ”ฅ ๐—•๐—น๐—ฎ๐—ฐ๐—ธ ๐—™๐—ฟ๐—ถ๐—ฑ๐—ฎ๐˜† ๐—ฎ๐˜ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐——: ๐—˜๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐—ฟ๐—ฒ ๐—Ÿ๐—ถ๐˜ƒ๐—ฒ! ๐Ÿ”ฅ

This year, weโ€™re taking Black Friday to the next level โ€” with ๐˜๐—ฎ๐—ถ๐—น๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ designed specifically for our users, partners, and customers, who will receive their ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ผ๐—ณ๐—ณ๐—ฒ๐—ฟ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† tomorrow, perfectly matched to their environment โžก๏ธ ๐ŸŽ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—ข๐—ณ๐—ณ๐—ฒ๐—ฟ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—ก๐—ฒ๐—ฒ๐—ฑ. ๐Ÿš€ ๐——๐—ผ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—ธ๐—ป๐—ผ..

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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.

Overcoming Data Duplication in CRM Systems
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@laura_garcia shared a post, 4ย days, 23ย hours ago
Software Developer, RELIANOID

๐Ÿš€ New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform

We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. ๐Ÿ”ง Whatโ€™s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..

terraform_relianoid_enterprise_azure_img2
DeepSeekMath-V2 is a state-of-the-art mathematical reasoning model built on the DeepSeek-V3.2-Exp-Base architecture with 685 billion parameters. Unlike conventional math-focused language models that optimize only for correct final answers, DeepSeekMath-V2 introduces a self-verification framework where the model generates, inspects, and validates its own mathematical proofs.

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.