Features:

  • Auto-discovery

    Auto-discovery:

    Discovery of AWS related items as current exact deployment assets is done without any intervention required from the user. Similarly discovery of current bills, current usage report is done without any inputs required from the user.

     

  • Auto-discovery

    Auto AWS Assets Tracking:

    All the AWS asset’s current status is tracked. Ability to view details of any AWS asset using lantana tool. Unlike many other tools we do not track just EC2s, Assets that we track are: EC2, EBS, ELB, RDS, S3 buckets & objects, EIP, EBS Snapshots, AMIs, Alarms, IAM users, IAM groups, IAM policies.

    Any change in the AWS asset’s configuration is identified and recorded in that particular asset’s history. This acts as an audit trail for all the changes made to any AWS items. All these changes are also automatically created as incidents for manual review and approval.

     

  • Auto-discovery

    S3 Objects Tracking:

    Lantana provides the guidelines for having a capability to track the usage as well as access of each S3 object and based on that calculates the cost breakup for each S3 object.

     

  • Auto-discovery

    Cost Tracking:

    Lantana tool asks you to configure the programmatic billing access. Once configured, you can get Cost breakup of all AWS assets at the individual as well as group level. You can also view the Spend analysis based on types of services.

     

  • Auto-discovery

    Usage Tracking:

    See the Break-up of usage for each AWS Asset level as well as group level. Usage of EC2, RDS, ELB as well as all other service’s usage is tracked with the help of Lantana.

     

  • Auto-discovery

    Performance Tracking:

    Monitoring of the AWS assets based on the performance metrics provided by AWS well over 2 weeks. Performance tracking of the AWS assets based on custom metrics.

     

  • Auto-discovery

    Utilization Tracking:

    Lantana tool automatically identifies the Baseline and utilization thresholds for the purchased AWS assets. Utilization score is scaled between 0 to 100, higher score indicating heavy utilization (for scaling up) and lower score as low utilization (ideal for scaling the resource down). Lantana further tracks the performance of these assets against those baselines and thresholds. The thresholds are defined for each parameter like stopped, idle, running smoothly, loaded and stressed. Based on crossing of these thresholds Lantana registers an event. All such events indicates the change of level of utilization of each AWS asset.

     

  • Auto-discovery

    Benchmarking:

    Self-performance benchmark graphs. Comparative analysis graphs with other similar AWS assets. Self-learning algorithm to understand the boundaries and patterns of AWS assets performance.

     

  • Auto-discovery

    Elasticity Analysis :

    Analysis of high utilization time Vs. low utilization time of each AWS asset

     

  • Auto-discovery

    Custom Metrics:

    Lantana tool provides the set of shell scripts/ batch files that transparently shows the information being captured and sent over for customized parameters of the EC2 instances. All these custom metrics if available are directly visible in Lantana without user required to configure anything.

     

  • Auto-discovery

    Email Alerts:

    As the alerts related to thresholds are generated by AWS alerts, Lantana capture these alerts and provide the action that should be taken to resolve them.

     

  • Auto-discovery

    Email Notifications:

    All notification emails are provided whenever any aspect of AWS asset’s configuration changes.

     

  • Add custom alerts:

    Ability to customize the alerts for custom messages as well as ability to have the alerts on custom events.

    Auto-discovery

     

  • Auto-discovery

    Incident’s alerts:

    Any change of status of any incident/ helpdesk or change is notified to its relevant stakeholders.
  • Auto-discovery

    Track Requests:

    Helpdesk’s user’s requests generated from the email sent to a particular email ID. The request alternatively can be generated manually. The request can be assigned and tracked accordingly.

     

  • Auto-discovery

    Track Escalations:

    Auto-escalation of user request based on predefined thresholds of service level agreement.

     

  • Auto-discovery

    Manage workflow:

    State transition management based on the predefined steps.
  • Auto-discovery

    Create Incidents:

    Auto incident creation from the changes in configuration of any AWS asset. Auto incident creation if utilization parameters of any AWS asset changes abnormally. Ability to convert the user request into ticket for technical team to handle. Ability to manually create the tickets

     

  • Auto-discovery

    Incidents Tracking:

    Ticket’s workflow management with the resolution and user feedback as steps of the workflow.

     

  • Auto-discovery

    Track SLA:

    SLA threshold based ticket escalation. Service provider registration, Services’ identification

     

  • Auto-discovery

    Cost Saving Recommendations:

    Recommendations based on the AWS asset’s utilization pattern, to detect the areas, where cost can be reduced or the cost leakages that can be stopped.
  • Auto-discovery

    High Availability Recommendations:

    Recommendations which help you get better performance, better disaster recovery and business continuity
  • Auto-discovery

    Auto Scaling Recommendations:

    These recommendations provide you the list of assets where auto-scaling would benefit as well as the extent of auto-scaling.

  • Auto-discovery

    Assets Optimization Recommendations:

    These assets optimization recommendations helps you make a better use of your AWS assets.
  • Auto-discovery

    Recommendation changes workflow:

    The workflow of these recommended changes follows steps, so that all the stakeholders are in sync. Also ITIL standard of ITSM are followed.
  • Auto-discovery

    Multi-instance DB:

    Lantana uses multi-instance DB for the security and physical separation of your application’s performance data. We encourage and promote you to do this. You can purchase the MySql RDS instance and ask us to use your RDS for your APM data.

     

  • Auto-discovery

    Use DynamoDB for readings and log data management:

    You may change the storage of performance data archival on DynamoDB for the performance of operating on larger data.