Self-Serve Observability Platform
What do you like best about the product?
WhyLabs is the second observability platform I have ever used, and I can say the core features I like about the platform is that it is easy to set up and implement the features, the checks and metrics were already pre-loaded so I did not need to do much in configuring the application, and monitoring was not difficult to get started with. It also integrates well with the serving and data libraries we used for the production tutorial setup.
What do you dislike about the product?
Nothing so far, I only experienced a stability issues once (sometime in 2022), but support was able to help me quickly fix it.
What problems is the product solving and how is that benefiting you?
Since 2022, I have sparesely used WhyLabs to monitor the quality of datasets for one client and 2 customers (because it was not their core requirment but a nice piece of their stack to have).
whylogs seemed like the perfect choice for a consultant that clients did not want to entirely release their data to; I found that it only captures the profile and stats info instead of the raw data here.
Rcently, I started testing out LLM security features with LangKit and I cannot believe how quick it is to use. I followed a workshop few months ago that showed me how to detect jailbreak attempts and toxicity in LLM inputs and outputs using LangKit. Took that learning and now with a client's project, we have tested out logging the telemetary data from the evaluation to WhyLabs. Looks good so far, so once I upgrade the pricing limit for this client, we plan to scale our usage here. Excited about this one.
whylogs seemed like the perfect choice for a consultant that clients did not want to entirely release their data to; I found that it only captures the profile and stats info instead of the raw data here.
Rcently, I started testing out LLM security features with LangKit and I cannot believe how quick it is to use. I followed a workshop few months ago that showed me how to detect jailbreak attempts and toxicity in LLM inputs and outputs using LangKit. Took that learning and now with a client's project, we have tested out logging the telemetary data from the evaluation to WhyLabs. Looks good so far, so once I upgrade the pricing limit for this client, we plan to scale our usage here. Excited about this one.
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