Designing an observability solution for public cloud and on-prem implementation
Blog post from Elastic
Designing an observability solution for both public cloud and on-premise implementations involves multiple considerations to ensure effective monitoring, troubleshooting, and analysis capabilities, particularly important with the rise of microservices architecture. Key components include determining the types of data to collect, such as metrics, logs, events, traces, synthetic testing, and user feedback, and establishing efficient data collection methods. Architects must also devise a storage and retention strategy that balances cost, compliance, and query-ability, while ensuring scalability to handle large data volumes. Effective alert generation and notification systems are crucial for timely issue resolution, and data security measures such as encryption and access controls are essential to protect sensitive information. The solution should comply with relevant regulations, offer intuitive data visualization for insightful analysis, and integrate seamlessly with existing tools to enhance workflow efficiency. Ultimately, a well-designed observability solution not only improves system visibility and health but also strengthens security across both cloud and on-premise environments.