- Consulting services
Ensono Mainframe Application Latency Risk Assessment to accelerate dependent systems migration to Azure
An assessment to avoid application performance issues & enable low-risk system migration, in order to understand the dependencies between mainframe & other systems across a Customers estate.
This assessment enables clients to identify systems that are dependent on the mainframe that can be rapidly migrated to Azure which otherwise may not be migrated due to latency migration risks.
To avoid application performance issues and enable low-risk system migration, organizations need to identify and understand the dependencies between their mainframe and other systems across their estate. Ensono's Mainframe Application Latency Risk Assessment helps clients plan their migration with confidence and deliver a clear path to digital acceleration and better business outcomes.
Step 1: How the assessment works: To kick off Ensono’s Mainframe Application Latency Risk Assessment, our experts will conduct an initial scoping meeting with the client’s team members. After this initial meeting, we will present a fixed-price proposal and statement of work based on the client’s scope, which typically includes all the production LPARs at the organisation. The assessment timeline from start to finish will vary depending on the number of applications and resources that are discovered during the assessment, but averages about three months.
Step 2: Our expert mainframe consultants will execute a patent-pending assessment by examining and measuring traffic profiles, interaction among specific mainframe services, volume, frequency, and comms classification. The initial allocation is based on remote IP location, high-level traffic profiles, and mainframe services being consumed.
Step 3: A comprehensive dataset and visualization of all client systems communicating with the mainframe over TCP/IP and interaction between MF LPARs will be prepared from the findings. Then, in collaboration with internal staff, we will map applications to systems and latency risk. The mapping includes a rules-based allocation agreed-upon with the client. Ensono will create a report showing the applications with the highest latency impact if moved further away from the mainframe, as well as the applications with negligible latency risk that can migrate quickly to Azure.
Step 4: Conduct a joint review of the findings and insights in the Executive Report, during which Ensono and the client will drill down to the insights discovered in the assessment.