Integrations

Connect Digital Tap AI to your data platforms, Kubernetes clusters, and team communication tools. 10+ platforms supported with more coming soon.

Supported Platforms

First-class optimization support with native platform adapters

Live
๐Ÿ”ฅ

Databricks

Full cluster lifecycle management โ€” idle detection, hibernation, right-sizing, and Spark optimization.

  • Cluster auto-hibernation
  • Spark config tuning
  • Job optimization
  • Cost attribution by workspace
Live
โ˜๏ธ

Amazon EMR

EMR cluster optimization with spot instance management and step-level cost tracking.

  • Spot/On-demand orchestration
  • Cluster pooling
  • Step-level cost tracking
  • Auto-termination policies
Live
๐ŸŸฆ

Azure Synapse

Synapse Analytics optimization โ€” SQL pool management, Spark pool scaling, and storage optimization.

  • SQL pool auto-pause
  • Spark pool right-sizing
  • Pipeline optimization
  • Storage tiering
Live
๐ŸŸข

Google Dataproc

Dataproc cluster optimization with preemptible VM management and autoscaling policy tuning.

  • Preemptible VM orchestration
  • Autoscaling policy tuning
  • Idle cluster detection
  • GCS storage optimization
Live
โŽˆ

Kubernetes

Vanilla Kubernetes optimization โ€” pod right-sizing, node optimization, bin packing, and namespace cost allocation.

  • Pod right-sizing & limits tuning
  • Node right-sizing & bin packing
  • Autoscale (HPA/VPA) tuning
  • Namespace cost allocation
  • Spot/preemptible node detection
Live
๐ŸŸ 

Amazon EKS

EKS-specific optimization with Karpenter integration, Fargate profiling, and AWS cost explorer data.

  • Karpenter provisioner tuning
  • Fargate vs EC2 recommendations
  • Spot instance management
  • Cost allocation by namespace
Live
๐Ÿ”ต

Google GKE

GKE optimization with Autopilot recommendations, node pool tuning, and GCP billing integration.

  • Autopilot vs Standard guidance
  • Node pool optimization
  • Preemptible spot management
  • GCP billing integration

Coming Soon

Expanding to cover your entire data stack

Coming Q2 2026
โ„๏ธ

Snowflake

Warehouse optimization โ€” auto-suspend, right-sizing, query profiling, and credit tracking.

Coming Q3 2026
๐Ÿ“Š

Apache Kafka

Broker right-sizing, partition optimization, consumer lag monitoring, and tiered storage.

Coming Q3 2026
๐ŸŒŠ

Apache Airflow

DAG optimization, worker scaling, task-level cost attribution, and SLA monitoring.

Coming Q4 2026
๐Ÿ”ด

Amazon Redshift

Cluster right-sizing, concurrency scaling, WLM tuning, and RA3 storage optimization.

Coming Q4 2026
โšก

Apache Flink

Job manager optimization, task manager right-sizing, and checkpointing tuning.

Coming Q4 2026
๐Ÿง 

Amazon SageMaker

Training instance optimization, endpoint auto-scaling, and notebook lifecycle management.

Notification Integrations

Get alerts where your team already works

Live
๐Ÿ’ฌ

Slack

Rich interactive notifications with buttons to hibernate, snooze, or investigate clusters โ€” right from Slack.

  • Autonomous idle cluster detection and auto-hibernate
  • Auto-hibernation notifications
  • Cost anomaly warnings
  • Daily & weekly savings summaries
  • Slash commands: /dtap status, savings, hibernate
Add to Slack
Coming Soon
๐ŸŸฃ

Microsoft Teams

Adaptive Cards with interactive actions for cluster management, cost alerts, and daily optimization reports.

  • Adaptive Card notifications
  • Interactive hibernate & snooze buttons
  • Channel-based alert routing
  • Daily summary posts
Coming Q2 2026
Coming Soon
๐Ÿ””

PagerDuty

Route critical cost anomalies and zombie cluster alerts to your on-call team via PagerDuty incidents.

  • Severity-mapped incident creation
  • Cost anomaly escalation
  • Budget overrun alerts
  • Auto-resolve on hibernation
Coming Q3 2026
Live
๐Ÿ“ง

Email

Receive optimization reports, cost alerts, and daily savings summaries directly in your inbox.

  • Daily & weekly optimization reports
  • Cost anomaly alerts
  • Budget overrun warnings
  • Compliance violation notices
  • Configurable recipients per alert type
Configure in Dashboard โ†’

What Slack Notifications Look Like

โš ๏ธ Cluster dev-analytics has been idle for 45 min, burning $2.10/hr
๐Ÿ’ฐ Monthly waste at this rate: $1,533 ยท ๐ŸŽฏ Confidence: 92%
๐Ÿ›‘ Hibernate Now โฐ Snooze 1hr ๐ŸŒ… Snooze Until Tomorrow ๐Ÿ”‡ Ignore
โœ… Auto-hibernated test-sandbox โ€” saving $4.20/hr
๐Ÿ’ค Idle for 2hr 15min ยท Confidence 94%
๐Ÿ”ด Spending anomaly: staging-ml is burning $18.40/hr (3.2x normal)
๐Ÿ“ˆ Investigate immediately to avoid budget overrun.
๐Ÿ” Investigate ๐Ÿ›‘ Hibernate
๐Ÿ“Š Daily Optimization Report
โ€ข Saved: $342 today
โ€ข Auto-hibernated: 7 clusters
โ€ข Still idle: 2 clusters ($6.30/hr waste)
โ€ข Water saved: 480 gallons
๐Ÿ“Š View Dashboard