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Explore the best FinOps tools of 2025 for engineering leaders, designed to automate cloud cost management and reduce operational overhead.

Explore the top 10 AWS cost optimization tools in 2025 that help engineering teams cut costs, boost efficiency, and optimize cloud resources effectively.

Discover the top 25 Azure cost optimization tools for 2025, helping engineering teams automate cloud cost management and reduce waste effectively.

Discover how rightsizing, FinOps, and sustainability practices work together in cloud optimization services to cut waste and increase ROI for engineering teams.

Explore the top multi-cloud management platforms for 2025, with insights on reducing complexity, improving performance, and boosting ROI through automation.

This blog breaks down Amazon RDS cost optimization into actionable strategies: estimating costs, identifying inefficiencies, using monitoring tools, and avoiding common mistakes. You’ll learn how automation, especially with Sedai, can help reduce RDS spend by eliminating waste and right-sizing resources in real time.

Discover how to use AWS Cost Explorer to track spending, view usage trends, and find savings. Get step-by-step insights to control cloud costs in 2026.

AWS EBS can be very helpful for your cloud, but it needs to be managed properly. Otherwise, it can cause volumes to bloat your bill, increase GP3 credits that vanish mid-query, and cause IO2 volumes to cost more than your dev team's coffee habit. This guide will help choosing the right volume type (without the trial-and-error), automating snapshot lifecycles before they bankrupt you, and fixing performance issues before users notice.

Learn Datadog pricing, key cost drivers, and ways to cut observability spend. See how Sedai automates cost control with real-time insights.

Most teams shouldn't waste time managing EMR clusters. Sedai automates rightsizing, scaling, and killing idle jobs, allowing engineers to focus on what matters, reduce EMR costs, and streamline operations.

For cloud migrations, Engineers need a fast, reliable, and automated solution. AWS Database Migration Service ensures seamless, secure transfers with minimal downtime while maintaining data integrity

Learn Azure Blob Storage basics, key concepts, containers, and how Hot, Cool, Cold, and Archive tiers organize and optimize your data.

Engineers shouldn’t have to spend hours optimizing the performance of each software application, and then constantly monitoring these applications to adjust for changes and fix issues. These engineers need to integrate performance optimization across the DevOps lifecycle, and then use AI tools to adapt to changes and fix issues, so they can focus on what matters.

Compare leading cloud storage providers like AWS S3, Azure Blob, and Google Cloud Storage in 2026 and learn how Sedai cuts cost and boosts performance.

Engineers can stop manually rotating credentials with AWS Secrets Manager, which securely stores and auto-rotates secrets. Sedai, the cloud's AI brain, optimizes settings, scales resources, and reduces costs automatically for faster apps and lower cloud expenses.

Engineers can explore Snowflake’s elastic compute, instant cloning, and multi-cloud support. Learn how to drop infrastructure burdens and focus on analytics.

Engineers shouldn’t have to invest countless hours configuring and managing infrastructure when starting with cloud databases. With Amazon RDS, they can integrate database management seamlessly into their workflow. RDS handles automation and reduces the need for manual adjustments, so engineers can stay.

Meet Sedai's new Chief Revenue Officer, Vaneet Bhaskar.

Discover essential steps to optimize Azure VM performance, from right-sizing and storage choices to networking enhancements. Learn how Sedai’s autonomous cloud optimization platform streamlines these tasks, delivering continuous, proactive optimization to ensure efficient, reliable VM performance without manual intervention.

Explore the critical aspects of high availability (HA) in cloud environments and discover strategies to minimize downtime and enhance performance. Learn how to implement redundancy, proactive monitoring, and failover mechanisms, while leveraging AI-driven solutions like Sedai to optimize resource allocation and ensure uninterrupted service.

Managing AWS EMR costs effectively is crucial for optimizing cloud expenses while maintaining performance. This article explores key strategies to reduce EMR cluster costs, including right-sizing instances, leveraging spot instances, enabling auto-scaling, and optimizing data storage. By implementing these best practices, businesses can significantly lower their cloud computing expenses while ensuring efficient big data processing.

Choosing the right cloud optimization tool is key to managing costs and performance. This guide covers cost vs. architectural optimization, TCO, automation, and security. It also highlights Sedai’s AI-powered automation for minimizing cloud waste and improving efficiency across AWS, Azure, and Google Cloud.

This guide compares AWS, Azure, and GCP savings options to help businesses optimize cloud costs. Discover the benefits of AWS's flexible plans, GCP's no-upfront savings, and Azure’s structured reservations, and learn how AI-driven tools like Sedai’s autonomous optimization ensure continuous, cost-effective cloud management.

Choosing the right virtual machine (VM) provider is crucial for businesses looking to optimize performance, scalability, and cost-effectiveness in the cloud. This article compares AWS EC2, Azure Virtual Machines, and Google Compute Engine (GCE), breaking down their features, pricing models, and use cases. We explore key aspects like instance types, performance, networking, security, and cost structures to help you determine which cloud provider best suits your needs.

Discover strategies to manage cloud computing costs across AWS, Azure, and Google Cloud in 2025. This article offers an in-depth comparison of pricing models, hidden fees, and key cost components such as computing, storage, and networking. Learn how to calculate total cloud expenses and make informed decisions based on your infrastructure needs and cloud provider. Additionally, uncover best practices for optimizing cloud resources through techniques like right-sizing, autoscaling, and leveraging discounts to achieve cost-efficiency across your cloud environments.