LakeSentry — Databricks Cost Optimization on Autopilot
Get started in minutes • No credit card required<br>See exactly where your Databricks spend goes.<br>LakeSentry is a Databricks cost intelligence platform. Catch cost anomalies before they spiral, surface optimizations, and safely tune your environment — without risking production stability.<br>Start Free Book cost teardown<br>Read-only works. Write access only needed to execute actions.
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Overview Cost intelligence dashboard<br>Last 30 days Last 24 hours Last 7 days Last 30 days Last 90 days Last year<br>Month to date Year to date
All Workspaces
Total Cost
$47,832 +12.4%<br>Last 30 days
Cost of Failure
$3,241<br>Failed runs & retries
30-Day Forecast
$51k–$58k<br>72% confidence
Active Jobs
847<br>Across 4 workspaces
Insights
23<br>4 critical
Attribution
94%<br>Quality score
Cost Trend Day Week Month
Jan 1<br>$2,850
Jan 2<br>$3,120
Jan 3<br>$2,940
Jan 4<br>$1,860
Jan 5<br>$1,620
Jan 6<br>$3,210
Jan 7<br>$3,450
Jan 8<br>$3,180
Jan 9<br>$3,340
Jan 10<br>$6,780
10
Jan 11<br>$4,120
11
Jan 12<br>$3,560
12
Jan 13<br>$1,940
13
Jan 14<br>$3,410
14
W1<br>$9,870
W1
W2<br>$11,230
W2
W3<br>$13,450
W3
W4<br>$23,400
W4
Oct<br>$38,200
Oct
Nov<br>$41,500
Nov
Dec<br>$44,100
Dec
Jan<br>$47,832
Jan
Jobs & Pipelines<br>$20,089<br>+18% 142 resources<br>SQL Warehouse<br>$13,393<br>+5% 12 resources<br>Interactive<br>$8,610<br>-4% 34 resources<br>Serving<br>$3,827<br>+22% 8 resources<br>Platform<br>$1,913<br>-1% 24 resources
Top Cost Drivers 15 resources<br>Resource Type Cost Activity
etl_daily_ingest
Job<br>$8,420<br>341 runs<br>successRate 94.2%<br>avgDuration 47 min<br>costBreakdown $6,210 DBU + $2,210 Cloud<br>trend +18% vs prior period
ml_feature_pipeline
Job<br>$6,180<br>124 runs
analytics_warehouse
SQL Warehouse<br>$5,940<br>1820 runs
streaming_bronze
Pipeline<br>$4,310<br>48 runs
Cost Explorer | $47,832 Total $34,601 DBU $13,231 Cloud
Breakdown Compute Types Principals Matrix<br>Cost by Category Day Week Month
42% Jobs · $20,089<br>DBU$14,862 Cloud$5,227
28% SQL Warehouses · $13,393<br>DBU$10,178 Cloud$3,215
18% Interactive · $8,610<br>DBU$6,200 Cloud$2,410
Serving · $3,827<br>DBU$3,061 Cloud$766
Other · $1,913<br>DBU$1,378 Cloud$535
Jobs
SQL Warehouses
Interactive
Serving
Other
Category Total DBU Cloud %
Jobs<br>$20,089 $14,862 $5,227 42%
SQL Warehouses<br>$13,393 $10,178 $3,215 28%
Interactive<br>$8,610 $6,200 $2,410 18%
Serving<br>$3,827 $3,061 $766 8%
Other<br>$1,913 $1,378 $535 4%
Budgets | 4 Active 1 At Risk 1 Exceeded<br>+ New Budget
Production Pipeline<br>Warning
89%<br>$22,140 of $25,000 Monthly
Analytics Team<br>On Track
75%<br>$11,280 of $15,000 Monthly
ML Training<br>Over Budget
107%<br>$21,400 of $20,000 Monthly
Dev Sandbox<br>On Track
47%<br>$2,340 of $5,000 Monthly
Commitments | 3 Active 72,000 Committed DBU 1 Expiring Soon
Total Committed<br>72,000 DBU<br>+ $12,000/yr support
Utilization<br>85%<br>On track
Savings vs PAYG<br>$8,240<br>22% discount
Enterprise DBU Expires Mar 2026 Healthy
84%<br>42,180 DBU / 50,000 DBU
Premium Support Expires Dec 2026 Healthy
67%<br>$8,000 / $12,000/yr
Serverless SQL Expires Feb 2026 Critical
96%<br>9,620 DBU / 10,000 DBU
Insights | 23 Active $12,450/mo Savings 4 Critical
All Anomalies Waste Optimization<br>All Severities
CRIT anomaly Cost spike detected $2,100/mo<br>etl_daily_ingest · 2 hours ago
HIGH waste Idle SQL warehouse $4,200/mo<br>analytics_warehouse · 1 day ago Approve
MED optimization Autoscaling opportunity $3,800/mo<br>ml_feature_pipeline · 3 days ago
HIGH waste Orphaned cluster running $2,350/mo<br>dev-sandbox-02 · 5 days ago
Why did ETL costs spike this week?
The etl_daily_ingest job saw a 3.2x cost increase on Jan 10th. Root cause analysis:<br>1. Cluster autoscaled from 4 to 12 workers due to data volume spike (2.8TB vs avg 900GB)<br>2. 3 retries triggered by upstream schema change in events_bronze table<br>3. Estimated waste: $2,100/mo if pattern continues. Recommend adding schema validation.
Cost Multiplier3.2x<br>Z-Score4.1<br>Baseline$1,240<br>Current$3,968
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All Workloads | 180 Resources $47,832 Total +12%
Jobs<br>142<br>$20,089
Pipelines<br>18<br>$4,310
SQL WH<br>12<br>$13,393
Serving<br>$3,827
Workload Type Cost Trend Success Impact<br>etl_daily_ingest Job $8,420 +18% 94.2% high<br>ml_feature_pipeline Job $6,180 +8% 98.1% medium<br>analytics_warehouse SQL $5,940 -2% 99.9% low<br>streaming_bronze Pipeline $4,310 +12% 97.4% medium<br>feature_serving_v2 Serving $3,827 +22% 99.8% high
Showing 5 of 180 resources
Compute | 5 Clusters 3 Running Avg CPU 62% $3,412
Overview Optimization<br>Cluster Type Workers CPU Idle (hrs) Cost<br>prod-etl-01<br>cluster-prod-etl
job 8
72%<br>— $142<br>ml-training-gpu<br>cluster-ml-train
job 4
94%<br>— $218<br>analytics-pool<br>cluster-analytic
all_purpose 6
45%<br>2.1h $96<br>dev-sandbox-02<br>cluster-dev-sand
all_purpose 2 —<br>18h $12<br>staging-etl<br>cluster-staging-
job 4 —<br>6h $34
SQL Analytics | 24.8K Queries Error 1.2% Avg 3.4s $13,393
Overview Optimization Queries<br>Warehouse Queries Cost Error % Avg RT P95 RT Queue<br>analytics_warehouse<br>Large
1,820 $5,940 0.3% 1.2s 8.4s 0.8s<br>bi_reporting<br>Medium
940 $2,180 0.1%...