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.

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.

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.

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.

Walkthrough of Sedai's autonomous optimization for ECS showing ECS service optimization, instance optimization, and purchasing levers. An autonomous cloud-management platform designed to optimize performance, cost, and availability for your ECS (Elastic Container Service) clusters.

Hello everyone! In this article, we will discuss seven effective strategies to optimize costs for AWS ECS. This discussion is based on the joint webinar between Sedai and AWS, which you can watch 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.

In this article, we delve into the reintroduction of autonomous infrastructure within the realm of large-scale systems, shedding light on the transformative changes that have taken place in infrastructure development over the past few decades. The insights shared here are the result of a collaborative effort involving multiple speakers who engaged in a thought-provoking discussion, comparing the distinctions between traditional monolithic systems and emerging paradigms such as Kubernetes and serverless environments. The focus lies on highlighting the advantages offered by enhanced flexibility and access to a diverse range of tools. As the conversation unfolds, we shift our attention towards the crucial role that autonomous systems play in this dynamic landscape and why relying solely on automation falls short of our aspirations. By embracing autonomy, we open up new possibilities to transcend the previously inevitable trade-offs that accompanied investment decisions, business choices, and market strategies. We reflect on the age-old dilemma where one must choose between something being good, fast, or cheap, realizing that achieving all three simultaneously has long been an elusive goal. However, our speakers firmly believe that with advancements in technology and the successful implementation of autonomy, these trade-offs can be overcome.

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.

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

In the past few years, we have seen a huge increase in adoption for Kubernetes. Kubernetes is an excellent platform, which provides you with all the facilities to fine-tune your application and run it the way you need. We at Sedai, use Kubernetes for deploying our applications along with surveillance and some other managed services from AWS. One question we get a lot is “Is there a need for another system or an autonomous system to manage Kubernetes?” Kubernetes is in fact a declarative system, an excellent one at which you can specify the needs of running your application, and Kubernetes will take care of the rest.

In this article, we will explore the world of optimization, with a special focus on serverless functions, particularly those leveraging Lambda. We will dive into how Sedai, a cutting-edge solution, helps in optimizing serverless functions. Sedai offers invaluable insights and tools that enable businesses to identify and address niche areas where optimization can make a significant impact.

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.

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.

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.

Learn strategies for enhanced system performance and reliability. See how observability metrics lay the foundation for autonomous systems, and how Palo Alto Networks approaches production metrics. Explore the potential problems associated with an overwhelming influx of data and metrics and how ML-driven correlation analysis can identify truly predictive metrics in an environment with multiple monitoring providers, multiple resource types, real-time data stress and predictive analytics. See how Palo Alto Network uses a multi-stage approach that includes a notice filter, aggregation, analysis, auto-remediation and notifications.

A comprehensive overview of how Sedai addresses the challenge of cold starts through the implementation of autonomous concurrency. We explore the history of cold starts, their underlying causes, and their relationship with concurrency before showing how an AI based approach can resolve cold starts.

This article, based on the kickoff session from the autocon/22 conference, sets the stage for the event by outlining the significance of autonomous systems in cloud management. It explores how autonomous systems have revolutionized various industries and highlights their transformative potential.

We explore the key role of autoscaling in optimizing performance and cost within Kubernetes. Specifically, we delve into two critical autoscalers—Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA)—and shed light on their functionalities, benefits, and limitations.

It's been a fantastic year for Sedai, and we're proud to share our year-end accomplishments with you in five areas.

Sedai CEO Suresh Mathew shares eight predictions for 2023 and explains what they could mean for the adoption of autonomous cloud management.

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.

Sedai is a launch partner for AWS for their new Telemetry API for AWS Lambda. Sedai uses the telemetry API to improve availability for Lambda users of Sedai’s autonomous cloud management platform by providing additional insights and signals on Lambda functions on a cost-effective basis.

Sedai has been accepted into the AWS Independent Software Vendor (ISV) Accelerate Program.

Microservices architectures are rapidly becoming the new norm architects rely on when it comes to cloud computing. There has been a lot of debate whether it's best to shift left, or shift right. With Microservices, organizations must shift up, and manage their systems autonomously.

We are proud to sponsor the DevOps Institute 2022 State of SRE report.

We raised more than $15M in Series A funding led by Norwest Venture Partners. We are defining the future of SRE. Join us in the autonomous movement!

From ensuring the highest levels of uptime availability to optimizing your code releases and cloud costs, learn how Sedai's autonomous cloud platform can become a staple in your SRE tool kit.

Sedai automatically discovers resources, intelligently analyzes traffic and performance metrics and continuously manages your production environments — without manual thresholds or human intervention. Try the autonomous cloud platform for free at sedai.io

Announcing the availability of the Sedai Autonomous Cloud Management Platform. We welcome you to sign up for a free Sedai account and experience the future of site reliability engineering — autonomous.

Div Shekhar, AWS Solution Architect, shares how AWS customers Coca-Cola, Nielsen Marketing Cloud and Lego are driving agility, increasing performance and improving security with a serverless strategy. Suresh Mathew, founder of Sedai, also shares the benefits of continuous and autonomous management of Lambda environments.

Today we announced our Series A funding, and we are thrilled to announce we are opening a new product engineering division in Thiruvananthapuram to advance the autonomous movement.

Get all the benefits of serverless with provisioned concurrency when it’s intelligently managed for you. Sedai will adjust based on your seasonality, dependencies, traffic, and anything else it is seeing in the platform.

While the shift from monolith to microservices changed the game in regard to deployments and team velocity, it simultaneously introduced the monotony of daily repetitive work and manual tasks. SREs and DevOps now need to entirely rethink how teams manage their applications on a day-to-day basis.

In this post, we’ll take a look at another piece of the microservices puzzle — proactive actions and the role they can and should play in keeping your business operations running smoothly.

With so many microservices, how can DevOps teams effectively manage, measure, and take appropriate action on SLOs?

Managing and maintaining all of the microservices in your cloud environment can be costly, tedious, and time-consuming. But what if there were some way to simplify cloud management with always-learning, always-available technology?

How can DevOps teams continue to ensure release quality when releases are constantly occurring?