Key ROI Drivers for Autonomous Optimization
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Explore the key value drivers of autonomous cloud management, guided by the framework in the diagram below which focuses on four main drivers: Cloud Cost Reduction, Performance Gains, Availability Gains and Operational Time Saved.
Declaration of Independence from Toil
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When in the course of technological evolution, it becomes necessary for engineers to break free from repetitive tasks and embrace innovation, a new approach is required. We hold these truths to be self-evident that all engineers deserve the right to meaningful, creative, and innovative work, free from the burdens of toil. Join the movement towards efficiency and freedom from toil.
Autonomous FinOps: The Future of Cloud Cost Management

In a recent survey conducted by McKinsey with IT directors and IT organizations, one of the key takeaways was that FinOps is one of the most important and emerging practices that they have been adopting throughout their IT and technology organizations in the last couple of years.
Why Choose a Reservation Plan Over a Savings Plan? A Common but Crucial Question
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Discover why many organizations choose Reservation Plans over Savings Plans in cloud financial optimization. Explore the benefits of cost predictability, higher discounts, enterprise agreements, and accounting advantages, even with minimal additional costs. Learn how Reservation Plans can impact your financial strategy and cloud usage effectively.
The Amazon ECS Optimization Journey: From Manual to Autonomous

While each organization’s approach is different let’s consider a journey through four stages of maturity from high-touch, manual processes to sophisticated, intelligent systems that enhance performance and cost-efficiency with minimal human intervention.
The Future is Autonomous: the AI-Driven Revolution in Cloud Management

Traditional manual and rule-based automated systems struggle to keep up with the complexity of managing cloud environments leads to persistent issues with cost control and performance optimization. It's time to take the next step in cloud management—AI-driven autonomous cloud management platforms are solving the complexity challenge in modern cloud environments.
Using Amazon S3 Intelligent Tiering

Amazon Simple Storage Service (Amazon S3) is a widely-used object storage service that offers industry-leading scalability, data availability, security, and performance. S3 has a variety of storage classes.
Using Amazon ECS Spot, Savings Plan and Reserved Instances to Optimize Costs

Discover AWS pricing models for ECS in this guide, covering On-Demand, Reserved Instances, Savings Plans, and Spot Instances. Learn how On-Demand instances offer a flexible pay-as-you-go model for fluctuating workloads, and explore the long-term discounts available with Reserved Instances and Savings Plans for predictable usage. Delve into Spot Instances, which provide steep discounts for fault-tolerant or stateless applications. This article also explains how to optimize costs and ensure availability by mixing On-Demand and Spot capacities, with a focus on ECS’s capabilities in automating Spot Instance lifecycle management and integrating with AWS Auto Scaling Groups. Perfect for optimizing your AWS spending strategy.
Amazon ECS Optimization Challenges

Successful ECS optimization impacts financial performance including both cost savings through reduced overprovisioning and discount management, and revenue gains from application performance and latency gains. While ECS offers a range of controls and strategies, including rightsizing and utilizing spot instances, implementation is complex when managed with manual methods.
Understanding Amazon ECS

In this post we'll take a look at ECS vs other Amazon Compute models and some key concepts in Amazon ECS.
Introducing AI-Powered Rightsizing for AWS EC2 VMs

In environments where applications are not suitable for microservices architectures, rightsizing and in particular vertical scaling becomes a critical strategy to achieve cost-effective operations while meeting performance requirements.
Introducing AI-Powered Automated Rightsizing for Azure VMs

In environments where applications are not suitable for microservices architectures, rightsizing and in particular vertical scaling becomes a critical strategy to achieve cost-effective operations while meeting performance requirements.
Rightsizing Kubernetes Dev/Test Environments: Saving $500K/yr in 60 Days

A technology company achieved a 25% cost saving across 1,400 Kubernetes services with Sedai's autonomous optimization technology by rightsizing Dev/Test environments. AI-powered autonomous optimization optimized Kubernetes requests and limits in Kubernetes workloads and optimized instance count and type. An AI driven approach was more effective than manual optimization, especially given the small spend on each individual service. Optimization is one key capability of Sedai's autonomous cloud management platform.
FCIs Are the New Availability
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Failed Customer Interactions (FCIs) are a valuable metric measuring customer experience that accounts for the declining usefulness of time based measures such as uptime in microservice based architectures. It provides valuable insights into system availability from a customer-centric standpoint.
Kubernetes Cluster Scaling Challenges
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In this article we will explore the reasons behind our adoption of Kubernetes, delve into the concept of autoscaling within Kubernetes, and specifically focus on cluster autoscaling. Throughout this article, we will examine the various tools that enable cluster autoscaling configuration
Using Scheduled Shutdowns to Optimize Amazon ECS Development Costs

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.
Five Capabilities of Autonomous Cloud Management Systems

Learn about five key differences between autonomous and traditional automated systems. These include 1. Intelligent Decision-Making, 2. Dynamic Adaptability and Context-Awareness, 3. Self-Correcting Capability, 4. Complexity and 5. Scalability and Limited Human Oversight.
Autonomous Optimization of Amazon ECS at KnowBe4

KnowBe4's autonomous journey has led to 98% of their Amazon. ECS and Lambda services running autonomously, with a 27% cost reduction and over 1,100 autonomous actions in the past 3 months. KnowBe4 fhad aced an optimization challenge with their Amazon Elastic Container Service (ECS) services, leading them to adopt Sedai's autonomous optimization to reduce toil for engineers and improve efficiency. KnowBe4 implemented a three-part approach (Crawl, Walk, Run) to gradually adopt autonomous optimization, resulting in significant cost savings and performance gains.
Three Major Levers to Optimize ECS Costs

To optimize AWS ECS costs, focus on workload optimization by right-sizing resources, configuring efficient infrastructure with the appropriate instance types and mix, and making strategic purchasing decisions such as leveraging Savings Plans or Reserved Instances.
What is an Autonomous System?
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Is Tesla known for building the safest car on earth? They made an interesting discovery regarding task division. By examining all operations, they identified two distinct segments: One that can be effectively performed by machines and another that is better suited for humans. When the first segment is completely handled by machines without any human intervention, it is referred to as an autonomous system. This means that the system operates autonomously.
Understanding Lambda Extensions
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In this article, we'll be exploring an important topic: Lambda Extensions. These extensions are a powerful feature that was introduced last year. So, let's jump straight into it and understand the details of this valuable addition.