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Announcement
November 09, 2023

GreptimeAI - Observability solution for LLM Apps

We announced our new product, GreptimeAI, a tailor-made observability solution for monitoring and managing generative Large Language Model (LLM) applications. It provides comprehensive insights into cost, performance, traffic and security.

Preface

With the maturity of generative LLM, the rise of LLM based application has created a broad ecosystem across various domains, and the need for robust monitoring and management tools tailored for LLM based apps has climbed too. Given the resource-intensive nature of LLMs, it's crucial to monitor their latency, throughput, and computational needs in real-time. However, performance optimization for LLM based applications is rather complicated, often leading to inefficiencies and a compromised user experience. Furthermore, the absence of specialized monitoring tools intensifies the "black box" nature of LLMs, hindering transparency and accountability in business decision-making processes, not to mention the ability for application modules to scale up and down elastically.

To address the above issues, today, Greptime announced the launch of GreptimeAI, an observability solution for LLM applications. With GreptimeAI, application developers can gain in-depth and comprehensive insights into the cost, performance, traffic, and security of their apps. The out-of-box solutions are built on Greptime's pioneer open-source time-series database, GreptimeDB, which provides efficient data storage and query ability for cost reduction and performance boost. Our self-developed database offers users extensive and flexible customization options.

GreptimeAI

GreptimeAI offers a range of tracking and analytical capabilities, empowering users with a holistic understanding of their apps status.

Below are some highlighted features:

  • Analytics on cost & usage

Efficiently manage expenses with in-depth analytics on cost breakdowns and facilitate resource allocation based on usage patterns.

cost

  • Application performance

Monitor the time consumption of each module of the application workflows to quickly identify performance bottlenecks.

generation

  • User insights

Analyze individual user behavior and collect user feedback to tailor experiences and improve engagement.

user insights

  • Traces

Utilize comprehensive trace information to quickly identify and address root causes, enabling efficient problem-solving and maintaining the high reliability of AI applications.

We cordially invite you to view our GreptimeAI demonstration below:

GreptimeAI Demo Video

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