John Jamie

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

Discover essential strategies for maximizing cloud efficiency while minimizing costs. This article delves into optimizing cloud resources, managing cloud infrastructure effectively, and avoiding common pitfalls like over-provisioning and underutilization. Explore the financial, performance, and environmental impacts of cloud inefficiency, and uncover best practices for rightsizing, automated resource scaling, and sustainable operations. Learn how to leverage advanced tools to drive efficiency across AWS, Azure, and Google Cloud platforms.

This blog highlights the top tools for Amazon ECS cost optimization, focusing on AI-driven platforms like Sedai and CloudHealth. It covers features such as task rightsizing, auto-scaling, and instance optimization, helping businesses reduce cloud costs and enhance ECS performance.

Explore data-driven cloud infrastructure decisions with insights from Siddharth Ram. Learn about usage-based vs. time-based pricing models and optimize your cloud costs effectively.

Explore 18 essential FinOps platforms and tools for 2024, designed to optimize cloud costs, improve financial management, and drive efficiency in cloud operations. Find the best solutions to enhance your FinOps strategy and maximize cloud investments.

Learn how to optimize Kubernetes capacity with resource management, autoscaling, and cost control strategies. Explore tools like Sedai, Keda, and Karpenter for efficient Kubernetes environments.

Discover the top Kubernetes cost management tools for 2024 to optimize resources, performance, and cloud spending.

Discover the top 18 cloud cost management tools for 2024. Learn how to optimize your cloud spend, reduce waste, and align costs with business goals using AI-driven platforms across AWS, Azure, and Google Cloud.

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.

Sedai recognized in Gartner's first Platform Engineering Hype Cycle for Autonomous Workload Optimization and AI Augmented Software Engineering. Learn about key themes and Sedai's role in shaping effective software delivery

Discover how cloud optimization goes beyond cost-cutting to boost revenue. Learn about FCI, latency, and availability losses, and how to minimize them for maximum profitability.

Best practices for cloud cost management and optimization include cost visibility, automating infrastructure rightsizing, and building cost-awareness culture within teams.

Discover how AI is transforming FinOps with autonomous optimization, predictive forecasting, and intelligent cost management. Learn 10 key ways AI revolutionizes cloud financial operations and prepares your organization for the future of FinOps.

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.

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.

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 development of autonomous vehicles as a solution to vehicle accidents provides parallels for the development of autonomous cloud management as a path to incident reduction. Explore key lessons on reducing human error, leveraging AI, incremental progress, phased rollouts, and building user trust to enhance system reliability and safety.

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.

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.

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.

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.

Cloud cost and time savings drive the "above the surface" benefits of autonomous cloud management, but "below the surface" benefits including customer experience gains, release quality, employee retention and adaptability contribute to the overall value realized from autonomous cloud management.

Your autonomous business case should consider cloud cost savings, performance gains, availability improvements and time savings. Operations teams looking to adopt autonomous optimization need to show business value to get buy-in from leadership.

fabric is a modular and headless platform tailored for modern eCommerce applications, with a primary focus on Software-as-a-Service (SaaS) solutions. fabric's mission is to empower retailers to streamline their commerce operations across various channels by creating custom functions through interconnected components. Gone are the days of relying solely on prepackaged systems; they embrace a more flexible and adaptable approach to meet the evolving needs of their clients.

Manu Thapar, CTO of Mastercard discusses the application of AI/ML to credit card fraud detection systems and how moving from a rules based system to a system that can self-learn and operate autonomously was key to successfully keeping up with constantly changing credit card fraud risks. Manu spoke at autocon, Sedai's annual conference focused on autonomous cloud management.

In today's fast-paced and demanding IT world, professionals and individuals face increasing pressure to do more with less time for evaluation and beta testing. The focus on delivering value to customers is often overshadowed by flashy marketing gimmicks. However, customer satisfaction is crucial for business success. The realm of artificial intelligence (AI) and machine learning (ML) has shifted towards practical applications and collaborative autonomy, where autonomous systems work together with humans. This article delves into the practical aspects of autonomy, discussing the challenges and benefits of implementing autonomous cloud management in various industries. It highlights insights from industry experts on the transition to autonomy, practical approaches, building trust, and managing expectations. The article showcases real-world examples of organizations such as Palo Alto Networks, Paylocity, and Fabric that have successfully implemented autonomous systems to enhance productivity, efficiency, and customer satisfaction.

This article is my summary of an insightful panel discussion on the topic of Serverless versus Kubernetes. We will delve into the valuable perspectives shared by esteemed industry professionals during the panel. The discussion aims to shed light on the relationship between serverless architectures and Kubernetes, focusing on the logic behind utilizing Kubernetes for stateless applications. Through an exploration of different viewpoints, we aim to gain a better understanding of the merits and considerations surrounding these two approaches. You can watch the full video here.

In this article which serves as a summary of a collaborative panel discussion on monitoring and optimization strategies for cloud-based systems, we delve into the exciting advancements in this rapidly evolving landscape. We focus on crucial aspects such as cost management, performance optimization, and the emergence of autonomous solutions. Join us as we explore insights from the panelists and gain valuable perspectives on these topics. You can watch the full video here.

Today, we're going to explore the concept of running a software company without the need for an operations team or an SRE team. We'll discuss the evolving landscape of operations and its implications for developers. This discussion will be presented from a developer's perspective.

Our Datadog Dash 2022 survey found cost is the #1 challenge for Datadog users, that autonomous systems are on average expected to provide a 48% gain on these challenges, and that Datadog users are well down the path of running modern apps with 77% using containers and 36% using serverless.

Performance & latency matter for B2B SaaS Applications, impacting user experience and ultimately retention and revenue.