Unravel "Optimize" Webinar Series | Accelerate Performance for Spark
Are you looking for a radically simple way to monitor, troubleshoot, and optimize Spark performance and reliability for Apache Spark? If so, then this webinar is for you. Join Mike Wong, Solutions Engineer at Unravel Data as he offers tricks and tips invaluable to getting the most from your Sparks environment – on-premises or in the cloud. Learn how Unravel Data’s built-in AI engine provides insights, recommendations, and auto-tuning for Spark applications and pipelines. You’ll benefit from:
- Automated root cause analysis (RCA) for failures and delays, with detailed explanations telling you what happened and why.
- Recommendations and tweaks to get your Spark jobs running at optimal levels.
- Auto-tuning and fixes to speed up jobs, get rid of errors, and guarantee SLAs are met.
- Using Unravel to screen jobs before putting them into production, so your job is optimized, efficient, and reliable from Day 1.
- Insights into misconfiguration, parallelism, partitioning, garbage collection, RDD caching, resource contention, container resource utilization, and more.
Register today for this informative and actionable webinar, the first of the series.