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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?