Pepperdata.com Website Review

Your big data platform, your apps, and your time at scale Which app is blowing up the Hadoop cluster? Application Teams How can I make my Hadoop and Spark apps go faster, be more efficient, and run more apps? Is there something wrong with my job or the big data platform? How do I maintain my apps over time? How do I improve Big Data application performance? What’s the best way to monitor and manage mixed workloads from frameworks such as Spark, How do I size my big data queues? Why does YARN say it’s full when we see plenty of physical capacity? How do I debug my Spark application? Managing multi-tenant big data clusters is complex. Pepperdata partners with you to deliver predictable performance, empowered users,. PEPPERDATA DELIVERS PROVEN BIG DATA APM PRODUCTS, OPERATIONAL EXPERIENCE, AND DE*P EXPERTISE. > “Before Pepperdata, we experimented with various approaches to > solve our big data performance issues, but we couldn’t see de*p > enough into our Hadoop cluster. Platform Spotlight shined a bright > light into our Hadoop cluster and provided detailed data that helped > “At Rubicon Project, having the appropriate visibility and insight > into our big data applications is extremely important when > delivering detailed reports to our clients and meeting our SLA. We > challenged Pepperdata to find a solution to profile our applications > before going to production that would help us maintain our SLA to > our customers as we introduce new applications. Pepperdata listened > to us and quickly understood the problem we were trying to > address.” > “Chartboost is the world’s largest mobile games-only advertising > platform, reaching one billion active players around the world every > month. Chartboost utilizes Apache Spark on large Amazon EC2 Hadoop > clusters for machine learning and ETL workflows. Understanding Spark