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Below are the key engineering considerations that led us evaluating best fit and moving towards to a self-hosted ELK stack.

Enhanced Governance and Compliance

Gaining greater control over data security, privacy, and regulatory compliance.
  • Meeting regulatory requirements (e.g., local UAE regulatory compliance) is primary may demand that data is stored within specific geographical locations or infrastructure under your control.
  • Data Ownership and Control

    Maintaining complete ownership of all observability data.
  • Should gives us ability to manage data, retention policies, and access and privacy. And implementation of end to end data life cycle.
  • Meeting Customer Expectations

    Addressing customer concerns regarding data privacy and security.
  • Should be able to achieve/address customer expectations and their concerns in keeping their data secure and maintaining data privacy.
  • Cost Optimization

    Shifting from an OPEX to a CAPEX model for observability infrastructure as the subscription based models costs high due to high with volume of logs,application data streams.
  • Unlike the subscription based models like datadog, A self-hosted ELK stack shifts the cost model from OPEX to CAPEX (capital expenditure) for infrastructure, offering potential long-term cost savings, especially with substantial data volumes. This decision implies an investment in internal expertise for managing the ELK stack.
  • Avoiding Vendor/data Lock-in

    Gaining flexibility in choosing observability tools and technologies.
  • It allows us with the freedom to own and manage out own data life cycle, customize the stack, integrate with other open-source tools, and switch vendors if needed.