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Sedai자동화된 구름 관리는 지속적으로 비용, 성능 및 가용성을 최적화합니다.

4.8 (5)
Daniel Nikulshyn리뷰어 Daniel Nikulshyn·업데이트됨 2026년 7월

개요

세ダイ(Sedai)는 AWS, Azure, 구글 클라우드와 같은 클라우드 공급 업체의 클라우드 인프라를 자동으로 관리하는 AI 드라이븐 플랫폼이다. 이 플랫폼은 작업 부하 패턴을 분석하고 매사에 인지 동의를 필요로 하지않고 리소스 크기, 스케일링 및 구성에 대한 실시간 결정을 내리는 머신 러닝 알고리즘을 사용한다. Sedai는 SRE, DevOps 및 플랫폼 엔지니어링 팀을 위해 설계되어 tradisional monitoring 도구들이 only alert로 surface하는 signal들에 대해 작용하는 것을 목표로, cloud 비용 단축 및 성능 인시던트를 낮추기 위해 있습니다.compute, containers, serverless, 및 data 서비스를 지원하며 기존 관찰성 스택과통합하여 production telemetry에 기반한 결정으로 ground합니다.

주요 기능

  • 자율화된 크기조정과 확장
  • 계속되는 비용 최적화
  • 성능과 가용성 모니터링
  • 컴퓨트, 쿠버네티스 및 서버없는 환경을 지원
  • Datadog, Prometheus 및 CloudWatch와의 통합
  • 정책기반의 규제대과 승인

가격

모델
Freemium
평점
4.8 / 5 (5)

사용 사례

자동 비용절감에 의한 구름 비용 절감

AWS, Azure, 및 GCP 에서 Compute, 컨테이너 및 서버리스 워크로드를 지속적으로 올바르게 사이즈할 수 있습니다. SRE 또는 DevOps 팀의 수동 조정이 없이 구름 비용을 단축하세요.

대안성 비용 최적화

Datadog, Prometheus 및 CloudWatch 에서 생성됩니다. 비용 증가를 방지하기 위해 성능 문제를 인지하여 수동 조정이 없이 예방합니다.

Kubernetes 스케일링 자동화

정책 기반으로 하는 보호와 롤백의 안전을 보장하는 리소스 요청, 제한 및 스케일링 구성 설정 자동화입니다.

다중 구름 가용성 관리

다중 구름 공급자와 서비스에 걸쳐 일관된 가용성 SLA를 유지하세요. Sedai 는 로드의 패턴에 근거하여 폐쇄 루프 구성 결정을 내립니다.

장단점

장점

  • 폐쇄 루프 자동화는 수동 보정 튜닝의 시간과 노력을 절약합니다.
  • 구름과 서비스의 다중 지원
  • 비용과 성능을 동시에 최적화
  • 공통 관찰성 도구와도 통합
  • 안전한 가드레일 및 롤백 옵션

단점

  • 엔터프라이즈 가격은 소규모 팀에 적합하지 않을 수 있습니다.
  • 자동화된 액션은 신뢰성과 온보딩 시간이 필요합니다.
  • 최적의 가치는 작업로드 규모 및 변동성에 따라 달라집니다

리뷰

4.8

5개 평가의 평균.

5
4
4
1
3
0
2
0
1
0

리뷰를 작성하려면 로그인하세요.

MB

Marcus Bell

Apr 11, 2026

Solid for our team

We rolled this out across the team last quarter and integrates with common observability tools. Continuous cost optimization fits neatly into how we already work, and support for compute, Kubernetes, and serverless removed a step we used to do by hand. Best value depends on workload scale and variability, which is the main caveat, but it has held up under daily use.

Rina Desai

Rina Desai

Nov 5, 2025

Does the job

Pretty happy overall. Autonomous rightsizing and scaling just works and integrates with common observability tools. but no dealbreakers — I'd recommend it to a friend without hesitating.

DW

Devin Walker

Oct 17, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: policy-based guardrails and approvals and closed-loop automation reduces manual tuning. On balance the feature set — especially integrations with Datadog, Prometheus, and CloudWatch — justifies the 5 stars for our use case.

BC

Beatriz Costa

Jul 25, 2025

Solid for our team

We rolled this out across the team last quarter and closed-loop automation reduces manual tuning. Autonomous rightsizing and scaling fits neatly into how we already work, and autonomous rightsizing and scaling removed a step we used to do by hand. Best value depends on workload scale and variability, which is the main caveat, but it has held up under daily use.

Naomi Suzuki

Naomi Suzuki

Jun 11, 2025

Solid for our team

We rolled this out across the team last quarter and closed-loop automation reduces manual tuning. Performance and availability monitoring fits neatly into how we already work, and performance and availability monitoring removed a step we used to do by hand. but it has held up under daily use.

Q&A

How much does Sedai cost? How does pricing work?

Sedai uses a simple, volume-based pricing model, designed to ensure our customers achieve a positive ROI. For example, we charge 1 Sedai Billing Unit (SBU) for each vCPU that our platform manages. There are no overage penalties — if you exceed your monthly commitment, you simply pay the same rate for the extra usage. You can also adjust your commitment, as your needs change over time. Please book a demo to discuss our specific pricing options & discounts.

Asked by Noelia Campos · Mar 3, 2026

How does Sedai make sure that optimizations never cause availability issues or degrade performance?

Safe optimization is our secret sauce. When Sedai identifies a potential cost or performance improvement, our platform makes that optimization in gradual steps, while continuously validating the impact of the change on your environment. For example, if Sedai determines it can lower the memory limit of a container without impacting performance, it won’t make a big change all at once, from say 12 to 4 GB. Instead, Sedai will gradually lower the memory to achieve maximum cost savings, until the exact point where performance is impacted.

Asked by Otto Berg · Feb 9, 2026

Which cloud providers does Sedai support? And what specific services can Sedai optimize?

Sedai supports the widest range of cloud services & on-prem workloads in our industry. This includes all the major cloud providers: AWS, Microsoft Azure, Google Cloud Platform, & Oracle Cloud Infrastructure. We’re the experts at optimizing Kubernetes — think EKS, AKS, & GKE, as well as on-prem, self-managed clusters. But our platform is unique in going way beyond K8s. Sedai also optimizes storage, data platforms, and AI/ML workloads. Check out our integrations page for the full list.

Asked by Ethan Brooks · Jan 14, 2026

What makes Sedai different from competitors? Why choose Sedai?

Only Sedai deeply understands how your applications behave, which is why our platform can optimize safely without causing performance or availability issues. Most tools either stop at recommendations or make risky changes based on surface-level metrics like CPU and memory utilization. Sedai goes deeper. Our patented ML models learn what your applications actually need by analyzing traffic patterns, dependencies, and golden signals like latency, errors, traffic, and saturation. That application-aware approach is what makes Sedai safe in production. To date, Sedai has performed more than 25 million optimizations with zero incidents.

Asked by Oscar Lindqvist · Jan 3, 2026

Will I be able to control Sedai’s actions? What if we want to roll back a change?

Sedai offers three operating modes that give you full control. In Datapilot mode, Sedai provides read-only recommendations, for you to implement. In Copilot mode, Sedai lets your team approve optimizations with one click, which Sedai then safely executes. Once you trust the platform, you can turn on Autopilot mode for resources or environments that you select, which enables Sedai to make optimizations autonomously. Across the board, Sedai enables your team to instantly roll back a change, schedule maintenance windows, & pause optimizations for any reason.

Asked by Hasan Demir · Dec 3, 2025

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