Initial Setup: Connectingclusters to Opster’s AutoOps platform.
Functional Testing: Reviewingsharding strategy, node configuration, and potentialbottlenecks.
Performance andBenchmark Testing: Running teststo tune and optimizeperformance.
Capacity Planning: Planning forlong-term capacityand implementinga scaling strategy.
Custom dashboards and reporting tools.
Integration with third-party applications.
Tailored alerting and monitoring settings.
Setup Fees: Accordingto TrustRadius, thereis no setup feefor Opster.
Onboarding sessions for new users.
Comprehensive user manuals and documentation.
Encryption: Using industry-accepted encryption standards to protect data at rest and in transit.
Access Control: Implementing AAA (Authentication, Authorization, and Accounting) to restrict access to network devices.
Incident Response: Having a plan in place to identify, respond to, and mitigate potential security incidents.
Opster releases updates regularly, and these updates can be managed through the Opster Management Console. The updates include unspecified updates, service patches, or releases that enhance or improve existing features, and are generally made available at no additional cost. The release and timing of any features or functionality are at Elastic's sole discretion, especially following the acquisition of Opster by Elastic.
Opster's policy on data ownership is clear: all customer proprietary data processed and/or analyzed by the solution remains the property of the customer at all times. Opster is authorized to access, process, and use customer data solely for providing the services as outlined in the agreement. Additionally, Opster has the right to use depersonalized, anonymous, or statistical data derived from the customer's use of the services for its research, development, and internal uses.
Capacity Planning:
Data Volume and Storage Capacity: Opster assists in planning for data volume and storage capacity based on the specific use case, data size and rate, retention requirements, search, and indexing SLA. This helps determine the amount of data that needs to be stored and the optimal disk sizes for data nodes.
Memory Requirements: The memory requirements are calculated based on the data size and the specific use case, ensuring that the system can handle the workload efficiently.
Number of Data Nodes: The correct number of data nodes is determined based on the data size, rate, and retention requirements. This ensures that the cluster can scale efficiently without over-provisioning or under-provisioning resources.
Number of Indices and Shards: Opster reviews the data requirements, including how much data is added daily and the retention policy. This helps in planning the number of indices the cluster would hold and how they would be sharded to ensure balanced storage.
Scaling Considerations:
Current and Future Scale Considerations: Opster covers both current and future scale considerations to ensure that the cluster can scale in an optimal and cost-effective manner. This includes planning for hardware capacity and data considerations.
Best Practices: Opster provides best practices for scaling, including role-based access, node-to-node encryption, and other security measures to ensure that the system remains secure and efficient as it scales.
Professional Services:
Renewal: Contracts may include auto-renewal clauses or require notice before the end of the term to renew.
GDPR compliance for data protection.
SOC 2 Type II for security and privacy.
