Tag: Monitoring & Observability

Organizations rely heavily on cloud-based data processing and analytics platforms in today’s data-driven world to unlock valuable insights and make informed decisions. Databricks, a unified analytics platform, has emerged as a popular choice due to its seamless integration with Apache Spark, and its ability to efficiently handle large-scale data processing tasks. Many customers have implemented […]

This post is co-authored by Grzegorz Kaczor from Hapag-Lloyd AG and Michael Graumann and Daniel Moser from AWS. Introduction Establishing observability over the state, performance, health, and security posture of applications is key to successfully operating multi-account workloads in the cloud. As the number and size of workloads increases, finding and correlating all available information […]

AWS best practices guide customers to deploy their applications across multiple AWS accounts to establish security and billing boundary between teams and to reduce the impact of operational events. As enterprises grow and scale with tons of resources, customers often need a unified observability experience to help them search, visualize, and analyze their cross-account telemetry […]

Organizations seeking to deliver meaningful technology services at a higher velocity to their customers have incorporated application performance monitoring (APM) into their DevOps operating models. Software development and IT operations teams that have traditionally worked in their own silos now strive to work in concert to increase organizational agility. The transformation path is unique for […]