Ensure Service Availability and Reliability with ZIF

1. Ensure Service Availability and Reliability with ZIF Enterprises have already started their journey of digital transformation. This has led to uncertainty in the way applications and services are managed and monitored to support other applications. The users are eventually unhappy because of the downtime in service availability. Zero Incident Framework (ZIF) has been architected to address the ITOps current and future issues. ZIF provides insights and resolve forecasted issues with the help of AI for application monitoring on telemetry data ingested in real-time. Business value delivered to customers by ZIF - Minimum of 40% reduction in capital expenses - Minimum 50% reduction in operational cost - 60% faster resolution (MTTR) - 99.99% Service availability - Increase in productivity by 80% minimum - Increased user experience Iceberg in ITOps: A lot of IT Operations are in an ICEBERG situation even till date. There are issues which are seen from the top and are known to the team. There are even issues that cannot be seen and remain uncovered. This is how ICEBERG’s are formed in ITOps. Observability using ZIF ZIF’s observability helps in visibility and also enables discovering deeper insights. Complete observability can be gained by externalizing the internal state of services, systems, and applications to the most. Monitoring Vs Observability - Monitoring checks and informs if the system is working or not whereas Observability answers questions like why the system is not working. - Observability diffuses information from the system while Monitoring collects metrics and logs about a system. 1

2. - Monitoring is failure-centric on the contrary Observability understands a system's behaviour irrespective of outage and failure. - Observability is all about achieving the goal on the other hand Monitoring is about trying to do the ‘how’ part. - Monitoring initiates monitoring on systems whereas, in case of observability, systems are made observable. Ensuring Service Reliability ZIF has mastered the art of: - Application and service failure - Predicting devices - Performance degradation These give service reliability of all applications services or systems to the IT engineers. Predicted issues can be resolved by ZIF’s auto-remediation bots. Service Availability Availability is measured as the percentage of time your service or system or application is available. By learning the usage of the system and application from the metrics that are collected from the environment, ZIF helps the IT engineers to achieve the agreed-upon availability of system or application. - The right availability can be achieved by collecting the right metrics. - Patterns are learnt with the help of unsupervised algorithms. - This helps in discovering when the application or system is required the most and then accordingly it predicts the potential downtime. - With above 95% accuracy in prediction, ZIF has the ability to achieve 99.99% availability for devices and applications which allows 52.56 minutes downtime a year. The above article has been taken from Zero Incident Framework (ZIF), who provides Application performance Management Solutions and AI operations Management Services. 2