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3:57
Make your observability practices more efficient by automating tasks with New Relic One through NerdGraph, our GraphQL API. Steve Ng, Principal DevRel Engineer, demonstrates how to use API calls in Python to automate auditing your instrumented services. https://bit.ly/3IneymA | New Relic
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Mar 21, 2022
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1:32
🎉 Introducing New Relic AI Monitoring (AIM), the industry’s first APM for AI. With AIM, engineers gain unprecedented visibility and insights across the AI stack, making it easier to troubleshoot and optimize their AI apps for performance, quality, cost, and responsible use of AI. Key features and use cases include: 🔎 Visibility across the entire AI app stack 👓 Deep trace insights for every LLM response 💰 Compare performance and costs across models 🤖 Enable responsible use of AI 💻 Instantly
69 views
Nov 14, 2023
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New Relic
1:43
With over 50 integrations spanning LLMs, ML libraries, and beyond, New Relic AI monitoring (AIM) offers the largest set of integrations for the AI ecosystem to give you instant visibility into your AI applications' performance and health. Basically, we've got you covered. Get early access to New Relic AIM: https://newrelic.com/platform/ai-monitoring?utm_source=facebook&utm_medium=community&utm_campaign=global-fy24-q4-ai-monitoring | New Relic
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🆕 We’re changing the old approach to development. Every engineer should be connected to observability data to get an overview of their application performance at the service and system levels all the way down to methods in their code. With New Relic CodeStream, developers can now access: - Code-level metrics: helps you identify which function in your codebase is causing issues in your code. - Service-level telemetry: gives you access to telemetry data for the services associated with the repo y
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