DevOps / SRE

Learn how to seamlessly integrate Infrastructure as Code (IaC) with autonomous systems for cloud cost & resource optimization. This guide explores strategies for maintaining DevOps best practices while leveraging AI-driven optimization in CI/CD pipelines, ensuring your IaC remains accurate and your cloud costs are minimized. Ci/CD tools mentioned include Jenkins, Argo CD, Circle CI and GitLab CD. IaC tools mentioned include Terraform, Ansible, AWS Cloud Development Kit (CDK), Puppet and Helm. A case study showing how Gitlab IaC is integrated with Sedai's autonomous optimization capability at KnowBe4, a leading cybersecurity platform is included.

Discover how Sedai brought AI-driven autonomous cloud management to SREcon23 Americas. Learn about our platform demos, magician entertainment, and special offers for conference attendees. Explore how Sedai can help SREs optimize resources, reduce costs, and prevent downtime

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 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.

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.

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.

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

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.

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.

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

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?

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.