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best for spark application monitor
What do you like best about the product?
easy to navigate for all metrics related to spark job, capture all yarn-related metrics. we can search by application id easily. multiple realm is also useful for EMR spark
What do you dislike about the product?
while setting up pepper data autoscaling first time without pepper data support was made EMR autoscaling aggressive because we have to found working autoscaling config for our clusters
What problems is the product solving and how is that benefiting you?
Pepperdata provides optimization suggestion on spark application, and also provide bottlenecks why jobs have not performed well. easy to find yarn level error on application
Recommendations to others considering the product:
none
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Big data insights using PD
What do you like best about the product?
Amount of metrics provided by PD along with recommendations to tune the job
What do you dislike about the product?
The recommendations tab should also include ways to implement the suggestions ex. spark submit command
What problems is the product solving and how is that benefiting you?
Performance optimization of EMR clusters to reduce the uptime
PD exp with AWS EMR
What do you like best about the product?
Dynamic capacity optimizer. Ability to intercept aws scaling requests
What do you dislike about the product?
Complicated installation process wherein static components are involved
What problems is the product solving and how is that benefiting you?
cost optimization
awesome monitoring tool
What do you like best about the product?
Spark logs on the screen, small files alerts and recoomendations about the job.
What do you dislike about the product?
Nothing dislike, we liked all the features in pepper data.
What problems is the product solving and how is that benefiting you?
Spark application problems mostly.
Pepperdata - great for cluster optimization, decent for app level monitoring
What do you like best about the product?
Pepperdata's Capacity optimizer is very effective in packing containers onto nodes, thereby reducing the cost of the underlying compute.
What do you dislike about the product?
It's not easy to calculate the value that you gain form having Pepperdata, which makes it tough to justify the cost of Pepperdata to upper management
What problems is the product solving and how is that benefiting you?
Our main problem was troubleshooting and tuning Spark jobs which we previously had very little visibility on. With Pepperdata, we certainly do get a much better picture of the cluster, nodes and individual jobs. Pepperdata alarms have helped us get alerted to issues related to capacity allocations for jobs or clusters
Good Monitoring tool for Biga Data
What do you like best about the product?
Capacity optimizer is the best service we have used in Pepper Data.
What do you dislike about the product?
Integration with monitoring tools like Service Now, Slack etc is not yet fully implemented.
What problems is the product solving and how is that benefiting you?
Cost and optimization
PROMPT SERVICE & CUSTOMER FOCUS
What do you like best about the product?
Ease of root cause identification of cluster issue, responsive & knowledgeable support, ability to tune spark workloads.
What do you dislike about the product?
Missing MapR specific metrics & feedback being vague.
What problems is the product solving and how is that benefiting you?
Super easy and self managed ability to monitor production load in spark jobs effectively. Another advantage is the ability to regulate job scheduling parameters to optimize resources
Very helpful application to monitor the cost and usage of Hadoop resources
What do you like best about the product?
usage report
cost summary
user interface
cost summary
user interface
What do you dislike about the product?
once the cost was inflated but it was an error that was fixed later
What problems is the product solving and how is that benefiting you?
monitor my usage regularly
Pepperdata - Complete Spark Cluster performance monitoring
What do you like best about the product?
Pepperdata provides insightful details and helpful metrics to monitor cluster performance. The user-friendly interface helps to navigate several details like CPU, Memory, Storage usage, I/O etc.
Pepperdata also helps to optimize the cluster settings to ensure enhanced resource management.
App spotlight feature helps to figure out slow jobs or any data skew scenarios
Pepperdata also helps to optimize the cluster settings to ensure enhanced resource management.
App spotlight feature helps to figure out slow jobs or any data skew scenarios
What do you dislike about the product?
Pepperdata can integrate automated alerting in case of any cluster parameter shows alarming behavior. It can also provide features like AI-based detection of resource containment and alert accordingly.
It will be good if Pepperdata can integrate workflow managers like Oozie in the monitored services and map Oozie coordinator/Job Ids to spark Application ids. This will help in easy mapping between interfaces and will result in quicker root cause analysis of issues.
It will be good if Pepperdata can integrate workflow managers like Oozie in the monitored services and map Oozie coordinator/Job Ids to spark Application ids. This will help in easy mapping between interfaces and will result in quicker root cause analysis of issues.
What problems is the product solving and how is that benefiting you?
1) Automated Spark cluster optimization
2) Root cause analysis of any issues with Spark jobs
3) Detecting data skew scenarios
2) Root cause analysis of any issues with Spark jobs
3) Detecting data skew scenarios
Recommendations to others considering the product:
Pepperdata is a helpful spark cluster monitoring tool, which provides all relevant metrics of a cluster in a centralized portal.
Very good for hadoop cluster analysis
What do you like best about the product?
Pepper Data provides quite detailed analysis about your cluster health. It provides visualization of CPU Resources, memory utilization, Storage, RAM and other important details. For each visualization you can see more details for a specific range of time and for a specific user. You can switch between chart and table display modes. In addition to this it provides detailed information about Queues and Application Status. Apart from the cluster overall details, you can see the Resource Usage of a Spark App as well by using the yarn application id, which is very useful for improving performance and scaling the processes.
What do you dislike about the product?
I wish that they provided more info, when hovered on column names, in tabular format/mode, so that it is more easily readable and understandable.
What problems is the product solving and how is that benefiting you?
We are using it to monitor our hadoop clusters in all our environments that is Dev, UAT and Prod. We use it to view and analyze our Spark Application by using the yarn application id. which is very useful for improving performance and scaling the processes.
Recommendations to others considering the product:
Very good tool if you are into Hadoop or Spark and are going to use it extensively for Performance monitoring.
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