Optimizing your CI/CD Pipeline with Shift-Left Enterprise Observability

Presented by

Tom Fisher

About this talk

Containers and microservices have increased the speed at which software is put into production. They have also increased scalability, especially for Cloud-native applications. Agile development and CI/CD practices have been instrumental in making these new application modernization methods effective. For production applications, i.e. once the application code and enhancements have been released through the CD process, Enterprise Observability (EO) and Machine Learning (ML) are extremely effective in detecting and isolating application issues for SRE, DevOps and Ops team in production. Enterprise Observability is the combination of Metrics, Events, Traces and Logs into a rich mosaic of rich contextual data. EO also provides precise information at 1 second intervals, with no sampling. Machine Learning learns from that rich contextual data to expose potential issues and enable alerts for those issues.
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Instana, an IBM company, provides an Enterprise Observability Platform with automated application monitoring capabilities to businesses operating complex, modern, cloud-native applications no matter where they reside – on-premises or in public and private clouds, including mobile devices or IBM Z. Control hybrid modern applications with Instana’s AI-powered discovery of deep contextual dependencies inside hybrid applications. Instana also gives visibility into development pipelines to help enable closed-loop DevOps automation. This provides actionable feedback needed for clients as they to optimize application performance, enable innovation and mitigate risk, helping Dev+Ops add value and efficiency to software delivery pipelines while meeting their service and business level objectives.