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Introduction

DoiT Insights is a unified recommendation service that aggregates recommendations from multiple sources and enriches them with DoiT's deep cloud expertise. It helps you optimize your cloud infrastructure, enhance security and compliance, and adopt best practices from FinOps and the Well-Architected Framework. It also enables you to track progress over time, fostering accountability across your organization.

Insights types​

DoiT offers two types of insights: custom insights created by the DoiT expert team and automated insights generated by the system.

While automated insights excel in speed, scalability, and consistency, custom insights bring contextual understanding, empathy, and creativity, adapting to complex situations. Together, they form a balanced and effective DoiT recommendation system.

Insights categories​

DoiT Insights provides actionable recommendations in six categories:

  • FinOps: FinOps is a critical aspect of cloud operations. This category focuses on identifying cost optimization opportunities and helping organizations manage cloud costs.

  • Operational excellence: This category offers guidance on automation, monitoring, and governance to improve the operational health of cloud workloads and streamline processes and workflow.

  • Performance efficiency: This category focuses on efficiently using IT and computing resources and improving the speed and responsiveness of business-critical applications.

  • Reliability: This category focuses on enhancing system availability and fault tolerance, providing insights on workload distribution, load balancing, and resilient architectures.

  • Security: This category focuses on identifying security risks and recommending mitigation measures. It offers guidance on access control, encryption, identity management, and compliance with security standards.

  • Sustainability: This category promotes energy-efficient and sustainable resource usage to reduce waste and carbon footprint. It helps organizations run their workloads with energy efficiency.

Insights sources​

Automated insights leverage various sources, as listed below:

  • Data in the DoiT platform:

    • Cloud billing data: Insights generated using cloud billing data are typically based on cost and usage data collected over seven or more consecutive days, with the last day being three days prior to the current day to mitigate potential data latency issues. Such insights are refreshed daily.

    • BigQuery audit logs: Generates recommendations on BigQuery usage. As BigQuery's usage profile generally does not change as frequently as billing data, BigQuery Lens insights are refreshed weekly to minimize query costs while allowing pertinent recommendations.

  • Recommendations from cloud providers such as Amazon Web Services, Google Cloud, and Microsoft Azure:

    • AWS Trusted Advisor: Helps you optimize costs, increase performance, improve security and resilience, and operate at scale. DoiT platform interacts with AWS Trusted Advisor API to access Trusted Advisor checks.

    • AWS Cost Optimization Hub: Allows you to identify, filter, and consolidate AWS cost optimization recommendations. DoiT platform interacts with AWS Cost Optimization Hub API.

    • AWS Security Hub: Helps you assess your AWS environment against security industry standards and best practices. DoiT is currently working on the integration with AWS Security Hub.

    • Google Cloud Recommender: Provides usage recommendations for Google Cloud resources. DoiT platform queries the Google Cloud Recommender API at the billing account level for recommendations on resource-based committed use discounts, and relies on Google Cloud Recommender BigQuery export for others.

    • Azure Advisor: Helps you improve the cost effectiveness, performance, reliability, and security of your Azure resources. DoiT platform interacts with Azure Advisor REST API.

See also​

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