FinOps

Unravel Data was Mentioned in the Gartner® Hype Cycle for Container Technology, 2024

Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been included as a Sample Vendor in the Gartner® Hype Cycle™ […]

  • 2 min read

Unravel Data, the first AI-enabled data actionability and FinOps platform built to address the speed and scale of modern data platforms, today announced it has been included as a Sample Vendor in the Gartner® Hype Cycle™ for Container Technology, 2024 in the Augmented FinOps category.

Unravel’s Perspective

How Augmented FinOps Helps

Augmented FinOps empowers organizations by automating and enhancing financial operations through AI and automation. This innovative approach provides real-time insights into cloud spending, identifies cost-saving opportunities, and ensures budget adherence. By leveraging domain-specific knowledge and intelligent automation, Augmented FinOps reduces manual workload, improves financial accuracy, and optimizes resource allocation. Ultimately, it drives efficiency, enabling businesses to focus on strategic growth while ensuring financial health and governance.

Introducing Unravel’s New AI Agents

Unravel recently announced the three groundbreaking new AI agents: the Unravel FinOps AI Agent, the Unravel DataOps AI Agent, and the Unravel Data Engineering AI Agent. These AI agents are designed to transform how data teams manage and optimize their operations. The Unravel FinOps AI Agent helps automate financial governance, providing near real-time insights into cloud expenditures with showback and chargeback reports, identifying cost-saving opportunities and enabling action. The Unravel DataOps AI Agent streamlines data pipeline monitoring and anomaly detection, and troubleshooting, freeing up human experts for more strategic tasks. Meanwhile, the Unravel Data Engineering AI Agent enhances productivity by automating routine tasks, allowing data engineers to focus on high-value problem-solving. Together, these AI agents empower organizations to achieve greater efficiency, accuracy, and innovation in their data operations, driving transformative business outcomes.

Three Keys to Optimizing Containers for Your Modern Data Stack

In today’s fast-paced digital landscape, optimizing containers is crucial for the efficiency and scalability of your modern data stack. Here are three key strategies to ensure your containerized environments are performing at their best:

1. Implement FinOps for Containers:

FinOps principles like monitoring, optimization, automation, and cost allocation can be applied to container workloads to enhance their efficiency, scalability, and cost-effectiveness. Advanced observability tools, integrated with AI-driven insights, can proactively identify potential problems and suggest optimizations, keeping your data stack running efficiently.

2. Right-Size Your Containers:

Properly sizing your containers is essential to prevent resource wastage and ensure optimal performance. Over-provisioning can lead to unnecessary costs, while under-provisioning can cause performance bottlenecks. Utilize AI-powered tools and automation that provide real-time monitoring and analytics to understand your workloads’ demands and adjust resources accordingly. This dynamic approach helps maintain a balance between cost and performance, ensuring your applications run smoothly without incurring excessive expenses.

3. Automate Management and Scaling:

Automation is a game-changer in container management, allowing for seamless scaling and resource allocation based on real-time demands. Employ automation tools that can handle tasks such as load balancing, resource provisioning, and fault tolerance. Kubernetes, for example, offers powerful automation capabilities that can dynamically manage container orchestration, ensuring your data stack can scale efficiently as your workloads grow. By automating these processes, you reduce the risk of human error, increase operational efficiency, and ensure that your infrastructure can adapt to changing demands without manual intervention.

Optimizing containers using a FinOps approach enables teams to right-size, automate, and scale not only enhances performance and cost-efficiency but also ensures your modern data stack is resilient, scalable, and ready to meet the demands of today’s data-driven world.

Next Steps

Ready to optimize your data operations? Discover the transformative impact of Unravel’s new AI agents. Request a free health check to see how your organization can improve performance, efficiency, and cost management. Start your journey towards smarter, more actionable data insights today.

 

Gartner, Hype Cycle for Container Technology, By Dennis Smith, 20 June 2024
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.