AI Tools that integrate with Kubernetes

TensorFlow

7.5 /10

Build and deploy scalable machine learning models with flexible tools

Logz.io

6.4 /10

Centralize logs, metrics, and traces for cloud-native data observability

Apache Airflow

7.3 /10

Orchestrate and monitor data workflows with Apache Airflow

Dagster

6.9 /10

Orchestrate data pipelines with confidence.

LakeFS

6.8 /10

Implement Git-like version control for your data lake

Metaflow

6.9 /10

Build and run reproducible ML workflows at scale

Splunk Observability Cloud

7.1 /10

Detect and troubleshoot API performance anomalies in real time

New Relic

6.9 /10

Monitor and analyze application performance with unified observability

Flyte

6.7 /10

Orchestrate scalable data and ML workflows seamlessly

Roboflow Universe

6.7 /10

Explore and deploy pre-trained computer vision models instantly

Kubeflow Pipelines

6.8 /10

Automate and track reproducible ML pipelines on Kubernetes.

Ray

7.1 /10

Scale and distribute Python workloads for ML training and data processing

Prefect

7.0 /10

Build, run, and monitor workflows without the orchestration headache.

Wallarm

6.8 /10

Detect anomalies in API traffic to enhance security and prevent attacks

Cortex

6.8 /10

Deploy and scale ML models on Kubernetes quickly

MLRun

7.0 /10

Automate ML pipelines and manage model lifecycle with scalable orchestration

Verta MLOps

6.3 /10

Manage, track, and deploy machine learning models with a unified platform