Aby Jacob

Master Amazon S3 bucket storage and functions. Discover smart cost-saving tips and how Sedai’s AI-driven automation keeps your storage efficient and secure.

Master AWS Elasticsearch basics, learn to troubleshoot shard issues, prevent downtime, and optimize queries. See how Sedai’s AI reduces manual work and cuts costs.

Learn key cloud data warehouse features and benefits. See how Sedai’s AI automation cuts cloud costs and boosts performance for your data workloads.

Understand AWS Graviton processor benefits, pricing, and ideal use cases. Learn how Sedai helps optimize it automatically.

Master AWS S3 pricing. Break down storage classes, uncover hidden costs, and explore how Sedai helps reduce S3 cost autonomously.

Get started with Amazon S3 Express One Zone. Learn how it delivers ultra-fast storage and how Sedai ensures cost-effective, AI-driven optimization.

Explore best practices for AWS GPU instances. Learn how to optimize performance and reduce costs with Sedai’s AI.

Learn how to optimize Google Cloud SQL for performance and cost. Explore best tools and strategies plus Sedai’s AI-driven savings.

Understand Google Dataflow costs, pricing components, and cost-saving strategies. Learn how Sedai automates Dataflow optimization safely.

Tune and optimizing Google Dataflow for maximum availability and performance.

ECS vs EKS (K8s flavor): A 2025 guide to cost, complexity, Fargate trade-offs, migration playbooks, and when to pick each AWS container platform.

Compare Amazon RDS vs Azure SQL across performance, scaling, cost, architecture, and migration paths. Learn which platform fits your workload and engineering roadmap.

Compare AWS Lambda, GCP Cloud Functions, and GCP VMs for performance, cost, and scalability. Learn when serverless or VMs fit your workload best.

Learn how to integrate Amazon EC2 with Amazon VPC. Explore setup, best practices, and architecture tips for secure, scalable AWS deployments.

Explore Azure VM sizes, pricing models, and cost strategies. See how engineering teams balance performance and spend through continuous optimization.

Discover the benefits of auto remediation in cybersecurity and IT operations. Learn how platforms like Sedai use automation to improve efficiency, reduce manual workloads, and enhance team productivity.

Discover how Amazon S3 Intelligent-Tiering automatically moves data between storage tiers to cut cloud storage costs and simplify data management.

Compare Amazon RDS vs S3 to find the best AWS storage for your workload. Learn cost, performance, and scalability trade-offs for engineering teams.

Master Amazon Elastic Compute Cloud (EC2), choose the right instances, cut cloud costs, enhance performance, and automate reliability at scale.

Get the most out of Azure API Management in 2025. This guide covers setup, security, integrations, and AI-driven optimization to streamline your APIs.

Learn how AWS Fargate works, its key features, pricing models, cost comparisons, and optimization tips to enhance your cloud infrastructure efficiency.

Understand AWS WorkSpaces cost structures from hourly and monthly billing to advanced options. Discover pricing drivers and cost-saving strategies. Optimize your AWS WorkSpaces cost now!

Get a clear breakdown of AWS EFS pricing, from storage tiers to throughput costs, and see how engineering teams can manage and cut file-system spend.

Explore how Amazon EKS works in 2026. Learn key features, pricing, and best practices for building and scaling production-ready Kubernetes on AWS.

Learn 2025 Kubernetes management strategies, tools, and autonomous optimization to balance cost, performance, and reliability effectively.

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.

Learn about Kubernetes autoscaling best practices, tools, and optimization strategies to reduce costs and improve performance in 2025.

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

Explore cloud automation in 2025 and why autonomous systems are critical for engineering leaders to manage modern cloud environments safely.

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.

This article explores the importance of rightsizing Azure Virtual Machines (VMs) to optimize both cost-efficiency and performance. It covers various Azure VM instance types and provides best practices for determining the right size based on specific workloads. Key tools like Azure Advisor and Azure Monitor are highlighted for continuous monitoring and optimization, while Sedai's AI-driven platform is recommended for autonomous VM rightsizing. The blog also discusses common challenges in manual rightsizing, the benefits of vertical and horizontal scaling, and the need for continuous optimization to meet evolving business demands.

This article delves into effective strategies for optimizing AWS Lambda costs, focusing on memory allocation, request management, and leveraging ARM-based architectures. It outlines cost-saving techniques, including the benefits of provisioned concurrency and batching requests, to reduce invocation frequency. Additionally, the article highlights the role of Sedai’s autonomous optimization platform, which adjusts configurations in real-time to align Lambda functions with both performance targets and budgetary constraints, ensuring efficient cost management in serverless operations.

AWS Auto Scaling automatically adjusts cloud resources to optimize performance and costs. Integrated with Sedai, businesses benefit from AI-powered resource management, automated scaling, and real-time cost optimization. This combination helps reduce over-provisioning and ensures peak cloud infrastructure performance.

Optimizing cloud costs and performance is a challenge for many enterprises, with AWS services like Lambda, EKS, ECS, and EC2 offering different capabilities. This guide compares these services based on scalability, cost, ease of management, and performance to help you choose the right fit for your cloud applications. Whether you need a serverless solution, container orchestration, or full infrastructure control, understanding the trade-offs can streamline operations.

Optimize your Kubernetes clusters with Sedai! Discover how our autonomous platform detects orphaned resources, improves performance, and reduces costs. Sedai fine-tunes workload configurations, manages resources efficiently, and ensures scalability.

This post explores the importance of workload rightsizing in Amazon Elastic Kubernetes Service (EKS) for enhancing cost efficiency and application performance. It covers strategies for configuring CPU and memory requests, utilizing autoscalers like Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA), and leveraging observability tools for continuous monitoring. The role of Sedai's AI-driven platform is emphasized as a key solution for automating rightsizing processes, ultimately helping organizations optimize resource utilization and adapt to changing workload demands effectively.

Discover the best strategies and tools for Azure cost optimization. Learn how engineering leaders can reduce cloud spend and improve efficiency in 2025.

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.

Keeping Amazon ECS development & testing environments workloads running when they're not actively used can lead to considerable expenses for teams.Implementing scheduled shutdowns of Amazon ECS cloud resources when not in use can lead to cloud cost savings with relatively little implementation effort.Four ways to achieve shutdowns for Amazon ECS include (1) manual shutdowns, (2) Lambda functions, (3) Cloudwatch templates and (4) schedules inside a platform such as Sedai.