Solutions · SparkView · Spark observability
Deep observability into every Spark application.
SparkView connects to your Spark History Server and turns overwhelming logs into clear insight on resource use, performance and optimisation opportunities — so you fix the costly jobs first.
The challenge
100s of pipelines. 1000s of Spark jobs. Every day.
Without deep observability it is hard to find slow jobs, link cluster cost to pipelines, or decide what to optimise.
Overwhelming logs
Spark generates vast logs that are hard to sift in time.
Siloed data
Logs scattered across nodes and servers, with no holistic view.
Lack of context
Raw logs do not explain the root cause of performance issues.
Inefficient monitoring
Traditional tools lack granular insight for Spark workloads.
How it works
Connect once, see everything.
01
Authenticate
Secure connection to Spark's History Server.
02
Retrieve
Job logs and application details pulled automatically.
03
Analyse
Historical performance metrics processed into insights.
04
Visualise
Interactive Grafana dashboards for every level.
For data engineers, by data engineers
Find what to fix, and why.
Identify costly jobs
Focus debugging and optimisation where the impact is greatest.
Resource monitoring
Spot over-provisioned or under-utilised applications.
Peak-time analysis
Schedule heavy jobs off-peak and right-size allocation.
Drill-down
Stages, tasks and executors analysed to pinpoint bottlenecks.
Key metrics
Beyond the basics.
Resource utilisation
RAM, CPU and overall resource usage.
Task efficiency
Total task efficiency and performance bottlenecks.
Shuffle metrics
Read/write volume, throughput and latency, with partition and caching recommendations.
Memory utilisation
Overall and stage-wise memory usage.
Executor metrics
Time, GC time and memory per executor.
Faster
identification of applications to optimise
Lower
infrastructure cost from tuned Spark jobs
Less
alert fatigue, with clear root causes
SparkView is one of the accelerators behind our DataOps observability offering.
See where your Spark spend goes. Connect SparkView.
We connect to your History Server and show the costliest applications and the fixes that matter.