Application Monitoring and Scaling

Monitoring Applications instances

  • Monitoring metrics are presented for each one of the application nodes

Application Elasticity

  • From the application instance list, the user must select the “Elasticity Policies” option for the deployed application, in order to configure how the application scales.

  • By selecting the appropriate function, user can to aggregate the monitoring results in various ways.

  • For the monitored parameter we select the metric and it’s dimension from appropriate lists.

  • An operand shall be added to the policy and the threshold that the policy shall confirm to.

  • The period field is used to set the size of the time window that the metric values are collected and aggregated for the policy enforcement.

  • On the scaling action we can select the component to scale in or scale out, and the number of workers to scale.
    • After a scaling action is performed, some time is needed for having the component workers deployed. For this reason we should ensure that for this period we don’t fire additional scaling actions.

    • This is done through the “Inertia” field that is used to define the time in minutes that after a scaling action is done,no further action is performed.

  • Multiple scaling actions can be added.

  • The policy can be saved and will be enforced to the application within few seconds.

  • In this example we had initially only one worker of the WordPress component.

  • But due to the scaling rule, an additional node has been created.
    • A load balancer had been already deployed from the initial deployment since we had defined that this component might need multiple workers.

    • The scaling action is visible to the user through the logs and the number on workers in the “WordPress” node in the graphs.

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Analytics