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Continuous Risk Assessment

Software delivery speed has increased by many folds due to CI/CD pipelines. Risk assessment of software is performed manually by the SREs and Ops team. The manual process can be tedious, time-consuming and often impacts the lead time of software.

SSD helps enterprises to perform a continuous risk assessment of each software in seconds instead of hours and fastens the go/no-go decisions. SSD gathers a variety and volume of data in real-time and provides software risks from various dimensions such as security, performance, quality, and reliability.

Continuous Risk Assessment Capabilities

OpsMx ISD compliments Azure DevOps and co-exists with it to address some of the limitations around scalability and ease of use, and brings significant automation and intelligence to the deployments triggered by Azure DevOps. Some of these value additions include but are not restricted to the following.

Risk Assessment of Releases at Scale

SSD automatically collects logs and metrics and applies NLP and unsupervised machine learning to calculate the overall risk score of new deployments. SSD summarizes the risk assessment results as a set of easy-to-understand scores that you can use to guide the next steps in the release process or implementing deployment strategies such as canary.

Risk scores for quality, performance, reliability, and security

Security Risk

Get holistic information about each deployment’s security vulnerabilities at various delivery stages- source, build, artifact, & deploy. SSD provides an application risk score by analyzing the security risk of a service and its dependencies. The exact posture of application supply chain security helps the DevSecOps team formulate critical decisions for the software delivery process.

Performance Risk

SSD provides risk assessment wrt to performance-related metrics of a new deployment, such as CPU utilization, memory utilization, latency, throughput, etc. Apart from rollout decisions, metrics risk scores help the DevOps team plan deployments of applications with specific performance requirements.

performance score- metrics analysis

Quality Risk

Avoid any laborious task of going through the massive logs to identify the errors of a new deployment. SSD looks at error rates, such as 400 errors and customer application errors, at the application, service, and API level, detects unexpected errors in the logs, and provides a cumulative quality risk score of log analysis. SREs can share the quality risk scores as feedback to developer teams in seconds.

Reliability Risk

SSD looks at apparent application failures and degradation of system resources, such as memory and disk access, during application operation. It compares metrics such as new and baseline deployment pod response rates and provides reliability scores that SREs can use in their deployment planning.

Integration with DevOps toolchain

Get more than 70+ ready-to-use integrations with the DevOps toolchain. SSD provides predefined templates to integrate and aggregate data from monitoring & logging tools, service mesh software, and security scanners.

Delivery Orchestration with Automated Pipelines

Key Benefits


3X Less Change Failure Rates

Obtain 80% fewer production issues through frequent monitoring of security, performance, and quality vulnerabilities in applications at every phase of the software delivery process.

90% Reduction in MTTR

Analyze thousands of metrics and logs in a matter of seconds. Identify the root cause of an issue and provide feedback to developers.

Faster and Safer Deployment

Upto 70% Productivity Gain

Save tremendous amounts of SREs and DevOps time by manually gathering the data from multiple platforms and tools to identify the risk of an application. Fasten the decision-making process with continuous risk assessment reports.



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