CONTINUOUS IMPROVEMENT OF IT SOFTWARE DEPLOYMENT
Consider a software application that has many small services for various functions involves intricate communication between the services, and maintenance of these services to meet the target SLO. To meet the target SLO of achieving 99.9999% reliability for the application applies this reliability requirement to each service within the application. Reliability of an application refers to its ability to perform its required functions under stated conditions for a specified period without failure.
Essentially, it measures the application’s robustness, consistency, and availability. High reliability ensures that users can depend on the application to work as expected whenever they need it.
The current approach, using scripts or playbooks to enhance reliability proactively and respond to real-time conditions, can be challenging, potentially leading to errors and reduced efficiency.
Key Aspects of Application Reliability are:
- Availability: The proportion of time the application is operational and accessible.
- Performance: The application’s response times and throughput under various conditions.
- Error Rates: The frequency and severity of errors and failures experienced by users.
- Durability: Ability to handle and recover from unexpected conditions like hardware failures, software bugs, and network issues.
- Resilience: Capacity to adapt to changes and recover swiftly from disruptions
To improve application reliability, enterprises should implement best practices during software development and operational procedures. The operational procedures like redundancy for services, fault tolerance, data replication, and distributed tracing can pinpoint bottlenecks.
For an application, target reliability of 99.9999% implies that the SLO for the different metrics that comprise reliability should be all targeted to achieve 99.9999%. AIMSLO models are trained to take actions to improve availability, durability, resilience and reduce error rates allowing developers to concentrate on code design and delivery improvements. The efficiency and productivity cycles for applications will improve by upwards of 70%.
AIMSLO continuously targets the SLOs of the Software Deployment by monitoring the Services of the application deployment and it takes actions, if necessary, to improve the SLO.