As applications grow in complexity and scale, organizations must decide whether to build or buy an observability solution, a decision influenced by factors such as cost, infrastructure complexity, scale, and the need for customization. Off-the-shelf solutions may offer quick deployment but could incur hidden costs and lack scalability for large data volumes, while building an in-house platform may reduce costs and better handle complex architectures. Apache Druid is highlighted as a robust choice for companies opting to build their own observability platform, offering fast data retrieval, compatibility with streaming technologies, and scalability to manage massive data ingestion efficiently. Salesforce's transition to Druid exemplifies the benefits of this approach, including significant storage savings and enhanced data exploration capabilities, which enable real-time insights and improved operational efficiency. Ultimately, the decision to build or buy hinges on an organization's specific needs, lifecycle stage, and long-term goals.