Watch the best sessions from autocon/22, the autonomous cloud conference 🚀
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.
Serverless computing has many benefits for application development in the cloud. It’s not surprising that given its promise to lower costs, reduce operational complexity, and increase DevOps efficiencies, serverless adoption is gaining more momentum every year. Serverless is now seeing an estimated adoption rate in over 50% of all public cloud customers. However, one of the prevailing challenges for customers using serverless has been performance, specifically “cold starts.” Here, I want to explore all the popular remedies available to reduce cold starts, their benefits, and pitfalls, and finally, how a new autonomous concurrency solution from Sedai may be the answer to solving cold starts once and for all.
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.
Sedai enables Datadog customers to have an autonomous cloud engine to improve cost, performance and availability in as little as 10 minutes. Together with Sedai, cloud teams can maximizE cost savings and optimize application performance autonomously. Sedai streamlines cloud operations and increases efficiency by eliminating day-to-day toil while achieving guaranteed optimal results. Datadog provides performance metrics and deep insights of applications into Sedai through the integration with Datadog’s APM engine. In turn, Sedai uses its AI/ML algorithms to intelligently learn the seasonality of applications to uncover improvement opportunities and autonomously execute optimizations and remediate issues. Autonomous actions taken by Sedai are visible right inside the Datadog dashboard, enabling teams to continue using Datadog as the primary monitoring tool.
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.
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We’re incredibly excited to announce that Sedai has been included as one of Gartner’s Cool Vendors for 2022 in Observability and Monitoring.
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!
![[VIDEO] Join the Autonomous Movement](https://uploads-ssl.webflow.com/622926e1a85e0cb10d8f5d5d/622fba429d8bdf5d262aecde_Screen%20Shot%202022-03-14%20at%202.57.08%20PM.png)
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.
![[VIDEO] The Autonomous Cloud Platform Built for SREs](https://uploads-ssl.webflow.com/622926e1a85e0cb10d8f5d5d/622fb958c2fc987c684c2732_Screen%20Shot%202022-03-14%20at%202.52.50%20PM.png)
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.
![[WEBINAR] Smart Recommendations for a Serverless-first Strategy](https://uploads-ssl.webflow.com/622926e1a85e0cb10d8f5d5d/622ebb0060f8f5bdc7ecfe1b_Screen%20Shot%202022-03-13%20at%208.47.53%20PM.png)
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?
See how to optimize Kubernetes for cost and availability with Sedai's autonomous cloud management platform.
See how to optimize AWS Lambda for performance, cost and availability with Sedai's autonomous cloud management platform. This demo shows multiple features for AWS Lambda including Autonomous Optimization, Autonomous Concurrency, Autonomous Availability, Release Intelligence and Smart SLOs.
Bring powerful autonomous optimization capabilities to cut Kubernetes cost by up to 50% with significantly less effort than conventional automation. We cover why Kubernetes costs are a major driver for company success, the challenges of optimizing Kubernetes, and show how autonomous cloud management powered by AI/ML can achieve greater savings than can be achieved by moving away from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, Kubernetes users can achieve gains at the workload, node and purchase options levels.
Sedai is an autonomous cloud platform. This video gives a brief explanation of Sedai, followed by a demo of Sedai's autonomous availability capability, and a short interview with Sri Shivananda, SVPÂ &Â CTOÂ at PayPal about where autonomous systems fit into the pyramid of low, medium and high value work
Sedai is able to detect and address potential downtime threats autonomously. In this short video, Gremlin's chaos engineering solution is used to inject a potential availability problem. Sedai detects and addresses the issue
How can autonomous improve cost, availability and both dev and ops productivity? Experiences from RingCentral, Uber, Cato, fabric, Belcorp, Freshworks, and Norwest Ventures are brought together here in this panel discussion from autocon/22.
Is there a right path between Serverless or Kubernetes? Leaders with backgrounds at Paylocity, Inflection/GoodHire, Intuit, AWS, Tasq and Uncorrelated Ventures discuss modern architecture alternatives and their pros and cons in this panel discussion from autocon/22. They make the case that serverless is underutilized at many companies given its operational advantages.
Engineering leaders with backgrounds at Paypal, Topcoder, eBay, Ironclad and Sedai discuss how to optimize cloud costs and performance with Autonomous Cloud, including how Autonomous complements Kubernetes by taking care of choosing configuration, and enables teams to focus on applications not infrastructure.
Engineering & cloud infrastructure experts from Paylocity, Palo Alto Networks, fabric and Norwest Venture Partners discuss the drivers behind the growth of autonomous cloud management in this panel discussion from autocon/22. The participants are all looking to innovate faster and invest more in applications that drive customer outcomes and are using autonomous to help achieve those goals focusing on well defined use cases that free up their teams for higher value work.
FCIs or Failed Customer Interactions offer an improved way to manage application availability for SREs, DevOps and other teams. In this video, Siddarth Ram (ex-CTO/SVP Engineering, Inflection/GoodHire(acquired by Checkr), Intuit, Qualcomm ) goes over the limitations of traditional availability methods and why FCIs provide a better measure of customer experience as well as a more actionable tool for internal teams to improve customer experience.
Prakash Muppirala, EVP Platform at fabric, explains how fabric achieved a 48% reduction in latency and a 6.7x gain in their customers/SRE ratio by implementing an autonomous cloud platform. Prakash explains the importance of latency in ecommerce, fabric's unique challenges, and their path to autonomous cloud management with Sedai.
Manu Thapar, CTO of Mastercard, explains Mastercard's ML-based fraud detection system and gives his POV on going 100% autonomous. Mastercard built a massive ML based system to detect and reduce fraud, running on AWS, using Kubernetes and serverless with EKS and Lambda. Manu explains the problem, Mastercard's solution and how it was deployed. Manu then gives his POV on Mastercard's goals for 100% autonomous operations and why autonomous systems are needed to meet the SLAs that global companies like Mastercard operate with.
Sedai CEO Suresh Mathew explains the difference between an autonomous and automated system, why autonomous systems are safer, why the industry should "shift up", and the four ages of IT operational management approaches leading to the "a8s-ops" age we are moving into.
Existing Datadog users can easily add autonomous management capabilities, improving the performance, cost and availability of their applications while avoiding the time & cost of using traditional automation.
Lambda extensions offer a way to easily integrate Lambda with your favorite monitoring, observability, security, and governance tools. Shridhar Pandey of AWS outlines why extensions were built, how they work, and how to get started with them in this video from autocon/22.
Cold starts are the #1 performance problem for Lambda users. Autonomous concurrency provides a solution with fewer cold starts than warmup strategies, and lower cost than provisioned concurrency. Sedai VP of ML, Nikhil Gopinath explains the underlying challenge of cold starts and presents the autonomous concurrency solution and compares it to traditional solutions.
Combining serverless with autonomous is a path to NoOps. From a developer's perspective serverless expert Sam Williams of Complete Coding outlines the history of operations, the impact of serverless and the benefits of autonomous in a serverless environment.
This video covers the evolution of systems from mechanized to automatic to autonomous, and the five advantages of autonomous systems in this kickoff to the technical track of autocon/22.
Observability is a building block for autonomous systems. This session covers the problem with too many metrics, how Palo Alto Networks solved this problem and Sedai's approach to metric prioritization.
Kubernetes utilization is typically poor with only 20-45% of requested resources used. Kubernetes optimizations must meet application demands and minimizing idle resources. This video covers the potential to optimize at the pods and node/cluster level. The capabilities and limitations of Kubernetes HPA, VPA and Cluster Autoscaler are covered here.
In this session AWS container hero Dijeesh Padinharethil covers autoscaling in Kubernetes, cluster autoscaling, scaling tools and event-driven autoscaling.
Managing Kubernetes with current automated approaches makes it almost impossible to achieve optimal cost, performance and availability. Autonomous offers a path out of this complexity. Autonomous optimization and availability are outlined, the architecture used by Sedai to provide this capability, and how safety is addressed.
Most serverless functions are unoptimized resulting in unnecessary latency and/or cost. Serverless functions can be optimized for performance, cost or a balanced strategy without human effort using autonomous systems.
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.
Serverless computing has many benefits for application development in the cloud. It’s not surprising that given its promise to lower costs, reduce operational complexity, and increase DevOps efficiencies, serverless adoption is gaining more momentum every year. Serverless is now seeing an estimated adoption rate in over 50% of all public cloud customers. However, one of the prevailing challenges for customers using serverless has been performance, specifically “cold starts.” Here, I want to explore all the popular remedies available to reduce cold starts, their benefits, and pitfalls, and finally, how a new autonomous concurrency solution from Sedai may be the answer to solving cold starts once and for all.
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.
Sedai enables Datadog customers to have an autonomous cloud engine to improve cost, performance and availability in as little as 10 minutes. Together with Sedai, cloud teams can maximizE cost savings and optimize application performance autonomously. Sedai streamlines cloud operations and increases efficiency by eliminating day-to-day toil while achieving guaranteed optimal results. Datadog provides performance metrics and deep insights of applications into Sedai through the integration with Datadog’s APM engine. In turn, Sedai uses its AI/ML algorithms to intelligently learn the seasonality of applications to uncover improvement opportunities and autonomously execute optimizations and remediate issues. Autonomous actions taken by Sedai are visible right inside the Datadog dashboard, enabling teams to continue using Datadog as the primary monitoring tool.
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’re incredibly excited to announce that Sedai has been included as one of Gartner’s Cool Vendors for 2022 in Observability and Monitoring.
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?
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![[WEBINAR] Why Automated Solutions Aren’t Enough When it Comes to Managing Microservices](https://uploads-ssl.webflow.com/622926e1a85e0cb10d8f5d5d/622fbf5a69cc21f4d54fdca9_skilup_shareables-01.jpg)