Blog

This blog discusses optimizing autoscaling in Azure Kubernetes Service (AKS) to enhance cost-effectiveness and performance. It emphasizes the Cluster Autoscaler’s role in managing node numbers and outlines best practices, including implementing availability zones, assigning CPU/memory requests, and tailoring configurations for mixed workloads. The blog also covers creating performance-focused and cost-focused autoscaler profiles, addressing common challenges like scale-up and scale-down failures, and utilizing monitoring tools like resource logs and custom metrics. By adopting these strategies, organizations can significantly improve their cloud infrastructure's efficiency and scalability.

This blog provides an in-depth look at the key components of AWS EKS pricing, including the control plane, worker nodes, data transfer, and storage costs. It breaks down how each element contributes to overall expenses and explores cost-effective strategies tailored for EKS environments. You’ll find insights on using various pricing models, including EC2, Fargate, and Outposts, and practical tips on leveraging Reserved and Spot Instances for savings. Additionally, the article discusses how businesses can adopt manual, automated, and autonomous approaches to cost management, with a special focus on optimizing resource allocation, auto-scaling, and workload management. Learn how intelligent, real-time solutions can help you streamline EKS operations and reduce costs without sacrificing performance.

Managing costs effectively in Azure Kubernetes Service (AKS) is crucial for optimizing performance and ensuring scalability without overspending. This blog delves into the key components of AKS pricing, including control plane, node pools, data transfer, and storage costs. It also explores actionable strategies for cost optimization, such as leveraging auto-scaling, Spot VMs, rightsizing resources, and utilizing cost management tags. You’ll also learn about various approaches to resource optimization—manual, automated, and autonomous—to help businesses achieve efficiency while keeping costs under control.

This blog explores the importance of selecting the correct instance types for rightsizing in Google Cloud Platform (GCP) Virtual Machines (VMs), emphasizing how businesses can optimize costs and performance. It covers various GCP instance categories, including general-purpose, compute-optimized, memory-optimized, and accelerator-optimized instances, and explains the key factors to consider when rightsizing. Additionally, the blog highlights the role of GCP’s built-in tools like GCE Rightsizing Reports and the benefits of using Sedai’s AI-driven platform to automate and optimize resource allocation in real-time, ensuring efficient and cost-effective cloud infrastructure management.

Explore the Cloud Optimization Autonomy Spectrum and its six levels, from manual operations to full AI-driven autonomy. Learn how each stage of cloud optimization can reduce costs, improve performance, and minimize manual effort on the path to autonomous cloud management

At autocon we held a panel to generate in-depth insights on the business case of AI, tackling some big questions about autonomy and AI: How are big organizations using autonomy? To what extent is autonomy helpful? How willing are companies to adopt autonomy? How does the staff react to automation?How to go about the cost of using automations?

Explore the critical role of error budgets in Site Reliability Engineering (SRE), detailing their definition, key components, and stakeholder involvement. It discusses various management approaches, the importance of maintenance windows, and how Sedai enhances error budget management through AI automation. Emphasizing continuous review reinforces balancing reliability and innovation for business success.

In today's digital landscape, service reliability is essential for building customer trust and ensuring smooth operations. This blog explores the critical components of service reliability, including availability, durability, and dependability, while providing actionable strategies for businesses to enhance their systems. We discuss the importance of running reliability tests, conducting post-incident analyses, and effective incident response processes. With tools like Sedai, organizations can streamline their efforts, ensuring they meet and exceed customer expectations. Discover how investing in service reliability can drive long-term success and satisfaction for your business.

Uncover key strategies for optimizing Kubernetes costs across Amazon EKS, Azure AKS, and Google GKE. This article provides an in-depth comparison of pricing models, hidden expenses, and operational overheads. Learn how to calculate total Kubernetes costs and make informed decisions based on workload size and cloud provider. Additionally, discover best practices for optimizing multi-cloud and hybrid cloud strategies to achieve cost-efficiency in managing Kubernetes clusters.

Understanding system availability is crucial for maintaining uptime in today's digital infrastructure. This article explores vital availability metrics, common causes of downtime, and how AI-driven platforms like Sedai can proactively enhance availability, reduce Failed Customer Interactions (FCIs), and optimize system performance for better efficiency.