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Discover the top 18 cloud cost management tools for 2024. Learn how to optimize your cloud spend, reduce waste, and align costs with business goals using AI-driven platforms across AWS, Azure, and Google Cloud.

Explore the top 13 cloud management platforms for 2024. Learn about key features, emerging trends, and how to choose the right solution for your organization's multi-cloud strategy and optimization needs.

Discover how AI is transforming FinOps with autonomous optimization, predictive forecasting, and intelligent cost management. Learn 10 key ways AI revolutionizes cloud financial operations and prepares your organization for the future of FinOps.

Best practices for cloud cost management and optimization include cost visibility, automating infrastructure rightsizing, and building cost-awareness culture within teams.

Optimize Kubernetes performance and cost with Karpenter and Sedai. Learn how AI-driven insights enhance node provisioning, predictive scaling, and instance selection.

Discover how cloud optimization goes beyond cost-cutting to boost revenue. Learn about FCI, latency, and availability losses, and how to minimize them for maximum profitability.

Explore the key value drivers of autonomous cloud management, guided by the framework in the diagram below which focuses on four main drivers: Cloud Cost Reduction, Performance Gains, Availability Gains and Operational Time Saved.

When in the course of technological evolution, it becomes necessary for engineers to break free from repetitive tasks and embrace innovation, a new approach is required. We hold these truths to be self-evident that all engineers deserve the right to meaningful, creative, and innovative work, free from the burdens of toil. Join the movement towards efficiency and freedom from toil.

In a recent survey conducted by McKinsey with IT directors and IT organizations, one of the key takeaways was that FinOps is one of the most important and emerging practices that they have been adopting throughout their IT and technology organizations in the last couple of years.

Discover why many organizations choose Reservation Plans over Savings Plans in cloud financial optimization. Explore the benefits of cost predictability, higher discounts, enterprise agreements, and accounting advantages, even with minimal additional costs. Learn how Reservation Plans can impact your financial strategy and cloud usage effectively.

Performance & latency matter for B2B SaaS Applications, impacting user experience and ultimately retention and revenue.

The development of autonomous vehicles as a solution to vehicle accidents provides parallels for the development of autonomous cloud management as a path to incident reduction. Explore key lessons on reducing human error, leveraging AI, incremental progress, phased rollouts, and building user trust to enhance system reliability and safety.

While each organization’s approach is different let’s consider a journey through four stages of maturity from high-touch, manual processes to sophisticated, intelligent systems that enhance performance and cost-efficiency with minimal human intervention.

Traditional manual and rule-based automated systems struggle to keep up with the complexity of managing cloud environments leads to persistent issues with cost control and performance optimization. It's time to take the next step in cloud management—AI-driven autonomous cloud management platforms are solving the complexity challenge in modern cloud environments.

Amazon Simple Storage Service (Amazon S3) is a widely-used object storage service that offers industry-leading scalability, data availability, security, and performance. S3 has a variety of storage classes.

Discover AWS pricing models for ECS in this guide, covering On-Demand, Reserved Instances, Savings Plans, and Spot Instances. Learn how On-Demand instances offer a flexible pay-as-you-go model for fluctuating workloads, and explore the long-term discounts available with Reserved Instances and Savings Plans for predictable usage. Delve into Spot Instances, which provide steep discounts for fault-tolerant or stateless applications. This article also explains how to optimize costs and ensure availability by mixing On-Demand and Spot capacities, with a focus on ECS’s capabilities in automating Spot Instance lifecycle management and integrating with AWS Auto Scaling Groups. Perfect for optimizing your AWS spending strategy.

Successful ECS optimization impacts financial performance including both cost savings through reduced overprovisioning and discount management, and revenue gains from application performance and latency gains. While ECS offers a range of controls and strategies, including rightsizing and utilizing spot instances, implementation is complex when managed with manual methods.

In this post we'll take a look at ECS vs other Amazon Compute models and some key concepts in Amazon ECS.

In environments where applications are not suitable for microservices architectures, rightsizing and in particular vertical scaling becomes a critical strategy to achieve cost-effective operations while meeting performance requirements.

In environments where applications are not suitable for microservices architectures, rightsizing and in particular vertical scaling becomes a critical strategy to achieve cost-effective operations while meeting performance requirements.

A technology company achieved a 25% cost saving across 1,400 Kubernetes services with Sedai's autonomous optimization technology by rightsizing Dev/Test environments. AI-powered autonomous optimization optimized Kubernetes requests and limits in Kubernetes workloads and optimized instance count and type. An AI driven approach was more effective than manual optimization, especially given the small spend on each individual service. Optimization is one key capability of Sedai's autonomous cloud management platform.

Failed Customer Interactions (FCIs) are a valuable metric measuring customer experience that accounts for the declining usefulness of time based measures such as uptime in microservice based architectures. It provides valuable insights into system availability from a customer-centric standpoint.