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OBSERVABILITY FOR
SPARK-HEAVY
DATA ENGINEERING

Proactively prevent bad data and quickly root cause issues, automatically.
On-prem or cloud.

Book a demoSee how it works



WHEN YOUR DATA OPERATION IS…





INSIDE-OUT DATA PIPELINES OBSERVABILITY DESIGNED FOR SPARK-HEAVY TEAMS.

Shift observability to post-production and let data developers focus on business
value




STOP GUESSING WHAT’S GOING ON

Holistic Monitoring

Establish full visibility
→ maintain data platform health


Out-of-the-box granular metrics collection & monitoring
Data quality, pipeline runs, infra performance



STOP CHASING COVERAGE, WRITING TESTS MANUALLY

Automated coverage

Reduce manual effort
→ increase data developers velocity


Auto-generated tests in post-production, with no manual coding
Dynamic anomaly detection evolving with data & behavior


STOP PULLING TEETH WHEN YOU ROOT-CAUSE

CONTEXTUALIZED RCA

Root-cause issues quickly
→ minimize downstream impact


Rich execution context, with runs, code, schema, & env tracking
Deep column-level data lineage, automatically built
Pinpointed actionable alerts



STOP CATCHING BAD DATA TOO LATE

Proactive protection

Detect issues in real-time
→ prevent issue propagation


Real-time testing, in-line with the pipeline runs
Automatic runs preemption, with no code changes


STOP WASTED RUNS & RESOURCES

Intelligent savings

Optimize infra performance
→ save costs


Monitoring infra resources, CPU, and pipeline SLAs
Smart auto-recommendations



SINGLE-POINT ONE-TIME INSTALLATION.
NO CODE CHANGES. ZERO-CONFIG.
IMMEDIATE INSIGHTS.


SINGLE-POINT ONE-TIME INSTALLATION.
NO CODE CHANGES.
ZERO-CONFIG.
IMMEDIATE INSIGHTS.

Book a demo
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