Organizations are now very much concerned about reliability. To improve reliability organizations must ensure resiliency in addition with other factors like functionality performance stability usability accessibility. Reliability is now one of the top priorities for the organization as it ensures superior end-user experience which in turn creates trust and confidence. As a result organizations can create their own brand identity and survive for longer period. Organizations are now conducting continuous chaos testing to ensure resilience and understand how the system handles failure for better reliability. Overall continuous chaos testing not only ensure resiliency but also assists to learn from the failures. Learning from failures also assist in reliability. In this blog I will talk about how continuous resiliency testing assists application/product owners in steady learning from the failures.
With digital transformations at scale there is a sheer increase in the adoption of cloud-native applications microservices and distributed hybrid deployments. The technical complexity to build & deliver a resilient and reliable IT system has increased multi-fold in the recent years. Although the new-age distributed architectures provide increased scalability and flexibility to release application features rapidly the ability to perform root cause analysis to isolate the faults and fix the issues have become extremely difficult. Early & continuous observability is the secret sauce for delivering & sustaining a fault-tolerant reliable and high available system. Observability is a property and key characteristic of a modern IT system to expose details on the internal state of the system by generating external data such as metrics logs events & traces. An Observability tool provides the ability to collect real-time data monitor correlate analyse and visualize the hotspots to enhance the end-to-end visibility of the entire IT landscape. An Observability tool forms a vital toolkit for performing early Performance engineering and Chaos engineering as part of the CI/CD pipeline. This helps in adopting ‘Fail-Fast’ delivery culture by facilitating early feedbacks to development team and comply with Non-Functional Requirements (NFRs) of the system. Continuous monitoring of the Service Level Objectives (SLO) Service Level Indicators (SLIs) and Error budget is essential to control the velocity of the releases against the system reliability. A robust observability solution helps with monitoring of system availability and provides the ability to drill down and troubleshoot the issues. This helps in reducing the Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR). Thereby observability solution becomes crucial to meet the high availability targets and enhancing the customer experience.