Detailed Analysis of Application Deployment and Health

With 80% of organizations adopting cloud applications, deployment time is being shortened by nearly 40%. Modern applications scale in complexity therefore monitoring becomes crucial.?

Effective application deployment utilizes AIOps, ensuring faster go-to-market and better scalability. It optimizes operational health checks, streamlines CI/CD pipelines, predicts potential issues, and allocates resources in real time based on business needs. These advanced technologies might reduce the risk of deployment failures and enable seamless rollouts across applications.

Application health check - Best practices

• Application health goes beyond just uptime monitoring; it encompasses real-time performance tracking, response times, resource utilization, log analysis, error detection, and dependency mapping.
• Integrate AI algorithms in your application to detect anomalies, automate root cause analysis, and trigger self-healing actions.?
• Leverage advanced analytics and algorithms to identify deviations from normal patterns and trigger alerts for potential issues.?

Upcoming trends in application deployment

As IT continues to evolve, businesses can expect to see the increased adoption of:

• Automated canary development
• Intelligent rollback strategies
• Predictive maintenance
• Edge computing
• Container orchestration

In the coming days, we can anticipate even more innovative AIOps techniques to step in. If you’re considering AIOps for your business, contact us at [email protected].