* **Data architecture evolution:** Data is no longer confined to a single database. It’s distributed across multiple systems, cloud platforms, and even on-premises servers.
This selection was a significant achievement for Odigos, as Y Combinator is known for its rigorous selection process and its ability to launch successful startups. Y Combinator’s selection process is known for its intense scrutiny and high bar for success. The selection process for Y Combinator is a multi-stage process that involves a rigorous application review, a series of interviews, and a final pitch to a panel of investors. The selection process is designed to identify and support promising startups with high growth potential.
eBPF is a technology that allows for dynamic, low-level access to the kernel, enabling developers to create custom tracing tools. Odigos’ solution is a combination of eBPF and a user-friendly interface. This interface allows users to easily configure and manage their tracing tools, making it accessible to even the least tech-savvy users.
This is a common trend in the platform-as-a-service (PaaS) space. Many PaaS providers offer open source components, but their enterprise offerings often include additional features and support. For example, consider a company like Heroku, which offers a free tier with open source components like Node.js and Python. However, their enterprise offerings include features like automated scaling, load balancing, and managed databases. Similarly, Google Cloud Platform (GCP) offers a free tier with open source components like TensorFlow and Kubernetes. However, their enterprise offerings include features like managed databases, security monitoring, and advanced analytics.
