Tutorials

Amazon Elastic File System (EFS) delivers fully managed, elastic NFS file storage designed for seamless scaling across multiple EC2 instances. Unlike Amazon EBS, which provides single-instance block storage optimized for low latency, EFS supports shared access with automatic scaling and multi-AZ availability. This blog explains EFS features, use cases, cost benefits, and when to choose it over EBS, helping CTOs, SREs, and DevOps teams optimize storage for performance and budget.

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.

This easy-to-follow guide walks you through AWS Cost Explorer, showing how to get a clear picture of your cloud expenses and spot where you can save. You'll learn how to track spending trends, set budgets, and use AWS tools to keep costs under control. Also, get practical tips for monitoring and optimizing your AWS bills so you're never caught off guard. It’s perfect for cloud architects, finance teams, and IT leaders who want to manage AWS costs smartly while growing their cloud infrastructure.

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.

Sedai works alongside Datadog, using AI to automate cost savings without any manual setup. By learning your unique environment, Sedai takes smart actions autonomously, keeping your observability lean and efficient.

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

Cloud storage should be simple and affordable. Azure Blob Storage gives engineers secure, reliable storage that scales with every project. Sedai’s AI automation keeps costs low and performance high. Together, they help you to take control of your data efficiently and confidently.

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.

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.

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.

Discover key strategies to optimize Amazon EKS costs, from resource right-sizing and autoscaling to efficient instance selection. Understand how Sedai’s autonomous platform drives cost-effective management by continuously monitoring and adjusting workloads in real time, reducing the need for manual intervention. Learn how proactive optimization through tools like Sedai can help you control expenses across EKS components—like EC2 instances, storage, data transfer, and load balancing—ensuring a scalable, high-performing Kubernetes environment on AWS that aligns with your budget.

This article explores the critical roles of Service Level Agreements (SLAs), Service Level Objectives (SLOs), and Service Level Indicators (SLIs) in enhancing business performance and customer satisfaction. It emphasizes best practices for implementation and highlights how Sedai's innovative solutions optimize service level management through automation and real-time adjustments.

Explore the significance of Service Level Objectives (SLOs) in enhancing service reliability and user satisfaction. It details methodologies for setting effective SLOs, the importance of error budgets, and best practices. It also highlights how Sedai’s AI-driven platform optimizes SLO management, empowering teams to focus on innovation while ensuring continuous service stability.