Case Study

Cyera: Enhancing DevOps Efficiency and Eliminating Waste with Wiv.ai

Cyera is at the forefront of data security, providing businesses with deep insights into their data, enabling cyber-resilience, and ensuring compliance through data-centric security solutions. With a mission to transform how companies secure their data, Cyera offers unmatched visibility and control across the data landscape. Supported by top investors like Accel and Sequoia, Cyera is pioneering a new approach to cloud data security, facilitating agile collaboration and unlocking new business opportunities through data.

Cyera Case Study: Enhancing DevOps Efficiency and Eliminating Waste with Wiv.ai
Cyera Case Study: Enhancing DevOps Efficiency and Eliminating Waste with Wiv.ai

Cyera is at the forefront of data security, providing businesses with deep insights into their data, enabling cyber-resilience, and ensuring compliance through data-centric security solutions. With a mission to transform how companies secure their data, Cyera offers unmatched visibility and control across the data landscape. Supported by top investors like Accel and Sequoia, Cyera is pioneering a new approach to cloud data security, facilitating agile collaboration and unlocking new business opportunities through data.

advanced machine learning capabilities automatically detect, classify, and understand data with high precision and speed across various cloud environments.

Executive Summary

Incorporating Wiv.ai into Cyera’s DevOps processes marked a significant leap towards achieving operational excellence and cost-efficiency in cloud resource management. As a hyper-growth company, Cyera faced challenges in scaling its engineering operations without compromising speed or innovation. The integration of Wiv.ai’s smart scheduling, instance management solutions, and waste detection capabilities empowered Cyera to automate resource optimization, eliminate waste, and maintain a balance between rapid growth and operational efficiency.

The Challenge

Cyera’s rapid expansion brought to light several critical needs for a comprehensive solution that could streamline cloud resource management, particularly for their Amazon RDS instances and other cloud resources in development environments. Key challenges included:

  • Resource Optimization: Ensuring efficient use of cloud resources without hindering the pace of development.
  • Automated Scheduling and Termination: The absence of an automated system for scheduling and terminating unused or unnecessary resources led to increased costs and resource wastage.
  • Workflow Approval and Visibility: Cyera required a system that provided visibility into resource usage and enabled controlled approvals for terminating instances, ensuring that critical resources remained unaffected.
  • Waste Identification and Elimination: Detecting and addressing inefficiencies, such as unattached EBS volumes or over-provisioned resources, that were leading to unnecessary costs.
  • False Positive Reduction: Minimizing false alerts in waste detection to focus on real cost-saving opportunities.
  • Root Cause Analysis: Understanding the underlying reasons for resource waste, such as bugs in automation processes.

Why Wiv?

Cyera Case Study: Enhancing DevOps Efficiency and Eliminating Waste with Wiv.ai

Cyera chose Wiv.ai for its comprehensive cloud management capabilities, particularly its advanced approval mechanisms, integration with GitHub Actions, and sophisticated waste detection features. Wiv.ai stood out for its:

  • Smart Scheduling: Automated scheduling features that allowed Cyera to optimize cloud resource usage efficiently.
  • Integrated Approval Workflows: The ability to implement approval workflows ensured that resource termination decisions were controlled and transparent.
  • GitHub Actions Integration: By integrating with GitHub, Wiv.ai minimized the need for extensive permissions, aligning with Cyera’s security-first approach.
  • Customizable Waste Detection: Wiv.ai’s ability to tailor waste detection algorithms to Cyera’s specific workflows and requirements.
  • Advanced Analytics: Providing deep insights into resource usage patterns and potential optimization opportunities.
Top Workflow Enhancements

Through Wiv.ai, Cyera achieved significant operational improvements:

  • Automated Resource Management: Automated scheduling and termination of RDS instances and other cloud resources in development environments, significantly reducing cloud costs.
  • Approval-Based Workflow System: The introduction of an approval-based workflow system provided a controlled environment for resource management, enhancing visibility and accountability.
  • GitHub Integration: Leveraging GitHub actions, Cyera maintained minimal permissions for Wiv.ai, ensuring security and compliance.
  • Waste Elimination: Implemented customized waste detection workflows that successfully identified and eliminated unnecessary resource usage, such as unattached EBS volumes.
  • False Positive Reduction: Fine-tuned waste detection algorithms to dramatically reduce false positives, allowing the team to focus on genuine cost-saving opportunities.
  • Root Cause Analysis: Utilized Wiv.ai’s insights to identify and fix underlying issues, such as a bug in automation that was generating a large number of unattached EBS volumes.
Measurable Outcomes

The implementation of Wiv.ai resulted in tangible benefits for Cyera:

  • Cost Savings: Achieved significant reduction in cloud spend, with savings in the range of tens of thousands of dollars per month.
  • Resource Efficiency: Improved the RDS utilization by over 60% in development environments.
  • Waste Reduction: Eliminated over 90% of identified waste, including unattached volumes and over-provisioned instances.
Wiv Support: A Game Changer

The support provided by Wiv.ai was pivotal in the seamless adoption of its solutions. With around-the-clock assistance, Cyera navigated the complexities of implementing Wiv.ai’s cloud management tools, resulting in minimal disruption and enhanced developer productivity. The Wiv.ai team’s responsiveness and expertise were crucial in customizing waste detection workflows to Cyera’s specific needs.

What's Next for Cyera and Wiv?

Cyera is keen on deepening its collaboration with Wiv.ai, exploring new avenues for optimizing cloud resource management and fostering a culture of efficiency and innovation within its development teams. Future plans include:

  1. Expanding waste detection to additional cloud services and environments.
  2. Implementing predictive analytics for proactive resource optimization.
  3. Further integrating Wiv.ai’s insights into Cyera’s CI/CD pipelines for real-time optimization.

Through this strategic partnership, Cyera has not only addressed its immediate operational challenges but has also set the stage for continuous improvement and efficiency in managing its cloud infrastructure. This reinforces Cyera’s position as a leader in data-centric security solutions while maintaining a lean and optimized cloud footprint.

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Cyera Case Study: Enhancing DevOps Efficiency and Eliminating Waste with Wiv.ai