With a commitment to efficiency and simplicity, F33 embarked on a journey to craft a transformative tool, setting the stage for a seamless transition away from cumbersome dashboards and manual data analysis.
Here are the four key challenges that emerged:
Nobl9 envisioned a tool that would streamline and simplify the reliability-checking process, eliminating the need for arduous manual analysis of multiple indicators and cumbersome dashboards.
Central to their vision was the development of a Virtual Assistant capable of addressing various queries, spanning from data inquiries to machine learning nuances, necessitating meticulous planning and execution.
To bring their vision to fruition, Nobl9 recognized the imperative of creating and deploying a user-friendly website. This platform would serve as the gateway for users to seamlessly access and leverage the capabilities of the Virtual Assistant.
With user convenience at the forefront, Nobl9 also prioritized the implementation of robust authentication mechanisms. This safeguard ensures that customers can securely manage their keys and information, fostering trust and confidence in the platform.
Nobl9 helps software developers, DevOps practitioners, and reliability engineers deliver reliable features faster.
Through software-defined Service Level Objectives (SLOs) they can help link monitoring and other logging and tracing data to user happiness and business KPIs.
Utilizing Google’s App Engine and Google’s Vertex AI to develop a Virtual Assistant capable of addressing three main types of questions: queries related to customer data (e.g., identifying unreliable services), questions about Nobl9 (e.g., details about Nobl9), and general machine learning inquiries.
Assisting in the creation and deployment of a website that enables users to log in and utilize the virtual assistant, along with establishing an authentication mechanism using Google Cloud Key Management Service to ensure customers can securely add their keys.
Deploying all the components to make the tool accessible to the public, resulting in an openly available tool for anyone at https://live.slogpt.ai/, along with a corresponding blog post on the Google website.
At F33 our difference is defined not just by what we offer, but who we are and by how we approach problems and create solutions.
F33 played a crucial role in developing Nobl9’s AI interface, SLOgpt.ai. This interface allows users to upload a graph image, generating an SLO based on the presented line. It also supports inquiries about the resulting SLO, Error Budget, and recommended next steps.
Users can access wanted information quickly and easily, without a need to manually search through their dashboards. They can ask questions in natural language and get detailed, accurate answers about the state of their services and use the VA to filter and transform the information into something valuable.
Prior to this, users had to manually access their dashboards and review all indicators on their own. There was no convenient method for retrieving relevant information using natural language in a practical manner.
Experience the heartbeat of our project as we showcase the essential Google Cloud services driving our success. From infrastructure to AI, explore the powerful technologies shaping our innovation.
“What a team! Our friends at F33 crushed it building this #GenAI product! Highly recommend working with them!”
Kit Merker, Chief Growth Officer
F33 has successfully implemented and delivered a Proof of Concept for a chatbot based on LLM, effectively combining the strengths of Enterprise Search and PaLM 2. This accomplished solution caters to the customer’s specific needs by infusing intelligence into data through the utilization of Google Cloud Platform services. The implemented chatbot now stands as a testament to F33’s commitment to delivering innovative and efficient solutions, providing users with an enhanced experience in navigating and extracting valuable insights from their data.
The project’s success underscores a positive shift towards leveraging advanced technologies, highlighting the potential for continued innovation and positive outcomes in the customer’s data-driven endeavors.
Throughout the project, we gained valuable insights into the customer’s data quality and provided recommendations for maintaining high-quality data. This is essential for ensuring a seamless flow of information within the company.
Our efforts aimed to make the client aware of both the possibilities and limitations of technology, expanding their perspective on potential future avenues.
Ireneusz Wieczorek
Senior Backend Developer
Cloud Architect Certificate
Wit Jakuczun
PhD, Principal Data Scientist
ML Certificate
Adam Czyżewski
ML Engineer
ML Certificate
Maria Naklicka
ML Engineer
ML Certificate
Get A tailored 30-minute 1-on-1 consultation with an AI expert.
