Calling all DevOps, DevSecOps teams, SREs and Cloud Architects.
With the continued adoption of cloud technologies, the topic of observability has become central to discussions about how best to drive innovation in these complex, dynamic environments.
Modern operational intelligence provides real-time analytics to build, monitor, troubleshoot, and optimize applications and infrastructure running on AWS, at scale. Modern applications with distributed, on-premise and cloud architectures require advanced observability powered by AI/ML and utilize all types of data—logs, events, metrics, metadata, traces, and other telemetry generated by applications and systems. End users need to rapidly understand the root cause of poor performance in their application stack, such as a line of faulty code, an incorrect architecture setup, or a server capacity issue. The ability to quickly troubleshoot results in faster deployment of new code, significantly reduces downtime, and enhances customer experience.
In this session you will hear real life use cases that harness data driven technologies and deliver end to end AWS visibility to accelerate digital adoption.
1. Building and deploying modern applications with DevSecOps, at scale.
2. Centralization of operational and security intelligence, and benchmarking service.
3. Centralizing telemetry, anomaly exploration for modern pervasive, ephemeral Apps, containers, and microservices.
4. Providing real life use case demonstrations for observability innovation and value driven outcomes.