Langfuse
LangSmith
Datumo Eval
Braintrust
Braintrust.dev
LangChain
Athina AI
PromptHub
Komodor
Devo
ALog ConVerter
Google StackDriver
Blumira
CHAOSSEARCH
IIS Inspector
VirtualMetric
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Langfuse KomodorKomodor is recommended for DevOps teams, site reliability engineers (SREs), and developers who work with Kubernetes and are looking for efficient ways to monitor, troubleshoot, and maintain their Kubernetes clusters.
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Based on our record, Langfuse should be more popular than Komodor. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse is another open-source platform for debugging, analyzing, and iterating on language model applications. It offers tracing, evaluation, and prompt management. While Langfuse offers many capabilities, some (like the Prompt Playground and automated evaluation) are only available in the paid tier for self-hosted users. - Source: dev.to / 29 days ago
It is reportedly used on websites like Langfuse and Million.dev. - Source: dev.to / 2 months ago
LangFuse is a monitoring and debugging platform for LLM-powered applications. It provides insights into token usage and costs. It can also analyze latency, and the performance of AI interactions. The platform allows debug prompts, and analyzes how they behave in production. - Source: dev.to / 3 months ago
You'll notice there's a lot of prompts in these examples. As you develop your prompts, you'll likely want to iterate and refine them over time. I recommend using tools like Langfuse or Langsmith for prompt management and metrics, making it easier to track performance and make improvements. - Source: dev.to / 4 months ago
Langfuse (https://langfuse.com). We started with observability and have branched out into more workflows over time (evals, prompt mgmt, playground, testing...). We have a bunch of traction and are looking for our fourth to sixth hire in scaling and building feature depth. We're hiring in person (4-5 days/week) in Berlin, Germany (salary ranges for each job 70k-130k, up to 0.35% equity). We value quality in... - Source: Hacker News / 4 months ago
Helm Dashboard is an open-source project by Komodor that offers a visual and user-friendly way to manage and visualize all the Helm charts installed in your clusters. Instead of using the terminal, you can leverage the Helm Dashboard's intuitive UI to perform a variety of tasks that make working with Helm a breeze. Here are some of its key features:. - Source: dev.to / over 1 year ago
Speaking of tools that I think I could talk an employer into buying, how about something to help with troubleshooting Kubernetes? Komodor is an observability tool that gives you insight into what’s happening with your clusters and workloads. As distributed applications have become more complex, they’ve become more difficult to troubleshoot, and Komodor gives you an integrated view of your Kubernetes resources. Not... - Source: dev.to / almost 3 years ago
Monitoring changes in the entire Kubernetes stack requires specialized skills particularly in the effective analysis of ripple effects and context-based approach in troubleshooting problems. A K8s-native troubleshooting solution like Komodor ensures that the troubleshooting process is undertaken in an independent and efficient manner. It institutes systematization to address the chaos that is usually present when... - Source: dev.to / over 3 years ago
You can find more info on https://komodor.com or DM me (full disclosure: I work for Komodor at the moment). Source: almost 4 years ago
For Troubleshooting: Komodor Komodor is a troubleshooting tool that has been gaining popularity in the Kubernetes dev community. What Komodor offers is the ability to gain a full view of all changes across the entire k8s stack - and their ripple effects - to streamline the usually laborious task of understanding what went wrong, when something goes wrong. - Source: dev.to / almost 4 years ago
LangSmith - Build and deploy LLM applications with confidence
Devo - Devo delivers real-time operational & business value from analytics on streaming and historical data to operations.
Datumo Eval - Discover Datumo Eval, the cutting-edge LLM evaluation platform from Datumo, designed to optimize AI model accuracy, reliability, and performance through advanced evaluation methodologies.
ALog ConVerter - Server access log solution for finance and manufacturing
Braintrust - Braintrust connects companies with top technical talent to complete strategic projects and drive innovation. Our AI Recruiter can 100x your recruiting power.
Google StackDriver - Stackdriver provides monitoring services for cloud-powered applications.
