ML Observability with Aporia on AWS

Aporia’s ML Observability platform is fully integrated into the AWS ecosystem, including Sagemaker, Redshift, S3, Athena, and Glue.

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Aporia’s partnership with Amazon Web Services (AWS) provides easy and reliable ML observability to AWS customers. By deploying Aporia’s architecture in their AWS environment, customers can monitor all of their models in production in minutes, whether on SageMaker, Kubernetes or another platform.

Deploy Aporia to your
AWS account

Integrate your models by
connecting to any data source

Start using
Aporia!

Connect to
Any Data Source

Aporia connects directly to your models’ training and inference data in S3, Athena, Glue, and Redshift. Storing your inference data is crucial not only for model monitoring, but also for model retraining, auditing, and incident investigation purposes.

You can then easily visualize your models with customizable dashboards for ML-specific metrics (e.g AUC ROC widget), advanced alerts on data drift and model performance degradation, and analysis of different data segments.

Integrates natively with
Sagemaker

Aporia has native integration with SageMaker. When this capability is enabled, SageMaker will automatically store the model's features and predictions in an S3 bucket, which Aporia natively connects to.

With the Aporia - SageMaker integration, ML teams can streamline and scale their ML processes with an end-to-end solution for tracking and managing the entire ML lifecycle - from training to production, and beyond.

Start Monitoring Your Models in Minutes

Try It Out Get a Demo

More than just a Monitoring platform

Monitor, Visualize, & Improve Your Models in Production

Visibility

Centralized, real-time view of model health & performance

Live Alerts

Detect drifts, bias and data integrity issues

Investigation

Get to the root cause and improve models with production data

Explainability

Know the why behind your models predictions

Why Aporia on AWS?

ML Dashboards

Visualize & Share models performance

Get a unified view of all your models under a single hub. Keep an eye on model activity, inference trends, data behavior, model performance (f1 score, Precision, RMSE, etc).

Learn more

Live Alerts

Detect drift, bias & data integrity issues

Get live alerts to Slack / MS Teams on any drift, bias, performance, or data integrity issues.

Learn more

Explainability

Explain model predictions

Discover which features impact your predictions the most, and easily communicate model results to key stakeholders

Learn more

Reah Miyara

Apr 17, 2023

NewsProduct Updates

Aporia & AWS Join Forces to Bring Model Monitoring to the Marketplace

We are excited to announce that Aporia is now available on the AWS Marketplace. Through this strategic partnership, it’s now easier than ever before for you to leverage advanced ML observability to improve...

Learn More 3 min read

NewsProduct Updates

Integrations

Aporia naturally fits into your workflow

Data Sources

Amazon S3

Glue

Snowflake

BigQuery

Databricks

Azure Blob Storage

Redshift

PostgreSQL

Delta Lake

Spark

Ray

DevOps Infrastructure Monitoring

New Relic

Grafana

Prometheus

DataDog

Cloud Providers

Azure ML

Vertex AI

AWS Sagemaker

ML Frameworks

TensorFlow

LightGBM

Hugging Face

Scikit Learn

PyTorch

dmlc XGBoost

CatBoost

Spark MLib

Alerting

Slack

Microsoft Teams

Jira

PagerDuty

Opsgenie

Email

Webhook

MLOps - Complementary MLOps Tools

MLFlow

Kubeflow

KServe

DVC

Feast

Weights & Biases

ClearML

Start using Aporia now

Try It Out Get a Demo

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ML Observability with Aporia on AWS

7 minutes and you’re up!

Deploy Aporia to your AWS account

Integrate your models by connecting to any data source

Start using Aporia!

Connect to Any Data Source

Integrates natively with Sagemaker

Start Monitoring Your Models in Minutes

More than just a Monitoring platform

Visibility

Live Alerts

Investigation

Explainability

Why Aporia on AWS?

ML Dashboards

Visualize & Share models performance

Live Alerts

Detect drift, bias & data integrity issues

Explainability

Explain model predictions

Aporia & AWS Join Forces to Bring Model Monitoring to the Marketplace

Integrations

Data Sources

Amazon S3

Glue

Snowflake

BigQuery

Databricks

Azure Blob Storage

Redshift

PostgreSQL

PostgreSQL

Delta Lake

Spark

Ray

DevOps Infrastructure Monitoring

New Relic

Grafana

Prometheus

DataDog

Cloud Providers

Azure ML

Vertex AI

AWS Sagemaker

ML Frameworks

TensorFlow

LightGBM

Hugging Face

Scikit Learn

PyTorch

dmlc XGBoost

CatBoost

Spark MLib

Alerting

Slack

Microsoft Teams

Jira

PagerDuty

Opsgenie

Email

Webhook

MLOps - Complementary MLOps Tools

MLFlow

Kubeflow

KServe

DVC

Feast

Weights & Biases

ClearML

Start using Aporia now

Deploy Aporia to your
AWS account

Integrate your models by
connecting to any data source

Start using
Aporia!

Connect to
Any Data Source

Integrates natively with
Sagemaker