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Sedai Recognized as Leader and Outperformer in 2025 GigaOm Radar for Kubernetes Resource Management

Sedai Recognized as Leader and Outperformer in 2025 GigaOm Radar for Kubernetes Resource Management
Sedai has been recognized as both a Leader and Outperformer in the 2025 GigaOm Radar for Kubernetes Resource Management. Discover how our AI-powered platform delivers 15-50% cloud cost reduction while improving application performance by up to 30% for enterprises like Palo Alto Networks, Experian, and HP.
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Published on
March 29, 2025
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Using Spot Instances on Azure Kubernetes Service (AKS)

Using Spot Instances on Azure Kubernetes Service (AKS)
This blog explores how to use Spot Instances in Azure Kubernetes Service (AKS) to scale workloads while maximizing cost savings. It covers adding Spot Node Pools, best practices for managing evictions, and optimizing Kubernetes costs using Spot VMs. You’ll learn how tools like Cluster Autoscaler and Sedai’s autonomous optimization can help maintain high availability even with potential interruptions. By blending Spot and On-Demand instances, you can strike the perfect balance between resilience and efficiency, achieving a scalable, cost-effective AKS environment with minimal manual intervention.
Published on
March 24, 2025
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Understanding the Difference between SLAs, SLOs, and SLIs

Understanding the Difference between SLAs, SLOs, and SLIs
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.
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Published on
March 21, 2025
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Rightsizing for Azure Virtual Machines

Rightsizing for Azure Virtual Machines
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.
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Published on
March 21, 2025
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Strategies for AWS Lambda Cost Optimization

Strategies for AWS Lambda Cost Optimization
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.
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Published on
March 21, 2025
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How to Use Scheduled Shutdowns in Amazon EKS to Lower Costs

How to Use Scheduled Shutdowns in Amazon EKS to Lower Costs
This blog explores how scheduled shutdowns in Amazon EKS (Elastic Kubernetes Service) can significantly reduce infrastructure costs by automating resource management. It covers the benefits of scaling down non-critical resources during off-peak hours, the challenges involved in effective scheduling, and tools like KEDA for event-driven autoscaling. The article also provides a practical example of implementing scheduled scaling with KEDA, emphasizing how businesses can optimize resource usage and cut costs without sacrificing performance. Sedai’s AI-powered platform is highlighted as a solution to further streamline these processes.
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Published on
March 21, 2025
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Understanding AWS Auto Scaling and its Features

Understanding AWS Auto Scaling and its Features
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.
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Published on
March 21, 2025
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Comparing AWS Lambda, EKS, ECS and EC2: Factors to Consider in System Design and Cost Management

Comparing AWS Lambda, EKS, ECS and EC2: Factors to Consider in System Design and Cost Management
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.
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Published on
March 21, 2025
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Detecting Unused and Orphaned Resources in Kubernetes Cluster

Detecting Unused and Orphaned Resources in Kubernetes Cluster
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.
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Published on
March 21, 2025
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Optimizing Workload Rightsizing in Amazon EKS for Efficient Resource Utilization

Optimizing Workload Rightsizing in Amazon EKS for Efficient Resource Utilization
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.
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Published on
March 21, 2025
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Bin Packing and Cost Savings in Kubernetes Clusters on AWS

Bin Packing and Cost Savings in Kubernetes Clusters on AWS
Efficient bin packing in Kubernetes optimizes resource usage, reducing AWS EC2 costs. This guide explores strategies like NodeResourcesFit and custom schedulers for better performance. Sedai's autonomous solution leverages application awareness to enhance node utilization, providing significant cost savings and efficiency.
Published on
March 18, 2025
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Understanding and Configuring AWS Lambda Concurrency

Understanding and Configuring AWS Lambda Concurrency
This article explores the importance of optimizing AWS Lambda concurrency for handling high-demand scenarios. It highlights key concurrency controls, monitoring methods, and the benefits of using Sedai for autonomous optimization to reduce costs and ensure efficient, scalable performance.
Published on
March 18, 2025
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Optimizing Azure Kubernetes Service (AKS) Costs

Optimizing Azure Kubernetes Service (AKS) Costs
This blog dives into effective strategies for optimizing Azure Kubernetes Service (AKS) costs, focusing on resource right-sizing, autoscaling, and leveraging cost-saving pricing models like Spot VMs and Reserved Instances. It highlights best practices such as regular resource audits, tagging for cost tracking, and training teams on cost-efficient Kubernetes practices. The blog also introduces Sedai’s autonomous optimization platform, which automates resource adjustments and scaling to minimize costs while maintaining performance. Practical insights and actionable tips empower teams to manage AKS clusters efficiently, balance cost with reliability, and thrive in a cloud-driven environment.
Published on
March 10, 2025
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Best Practices for Reducing AWS EC2 Costs

Best Practices for Reducing AWS EC2 Costs
Reducing AWS EC2 costs is essential for businesses aiming to manage cloud budgets effectively while maintaining performance and scalability. By employing strategies like selecting the right instance types, leveraging Reserved and Spot Instances, and implementing auto-scaling, organizations can significantly cut down on cloud expenses. Sedai’s autonomous optimization platform enhances these efforts by continuously analyzing workloads, right-sizing instances, and automating cost-saving actions in real time. From leveraging AWS-native tools like Cost Explorer and Trusted Advisor to integrating advanced AI-driven optimizations, Sedai empowers businesses to achieve sustainable, scalable, and cost-efficient cloud operations.
Published on
March 10, 2025
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Strategies for Cost Optimization on Azure

Strategies for Cost Optimization on Azure
This blog covers effective strategies for optimizing costs on Microsoft Azure, including using Azure’s native tools like Cost Management and Billing, Azure Advisor, and the Pricing Calculator for tracking and estimating expenses. It highlights the importance of right-sizing resources, utilizing Azure Reservations and Spot VMs, and setting up autoscaling to match demand. The post also emphasizes financial strategies like the Azure Hybrid Benefit and introduces Sedai’s AI-driven platform for continuous, autonomous cost optimization, ensuring businesses can maintain cost efficiency while maximizing performance.
Published on
March 10, 2025
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Running Kubernetes Clusters on Spot Instances

Running Kubernetes Clusters on Spot Instances
This blog explores the strategy of running Kubernetes clusters on spot instances, a cost-saving approach that taps into unused cloud capacity. It covers key benefits of using spot instances in Kubernetes, best practices for autoscaling, and methods for managing instance interruptions to maintain workload stability. Additionally, it introduces Sedai's autonomous optimization platform, which enhances spot instance management through real-time adjustments and predictive analytics, minimizing manual intervention. Practical steps for node group configuration, pod scheduling, and balancing reliability with cost-efficiency are also included to help teams optimize Kubernetes clusters for cost-effective, resilient operations.
Published on
March 10, 2025
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