Sold by: UCit
Deployed on AWS
Analyze-IT allows for easy HPC usage exploration. Through 100s of KPIs and the support all major HPC job schedulers, you will be able to fully understand how your HPC clusters are used, and detect ways to optimize it.
Overview
UCit have packaged its HPC and machine learning expertise in a software tool which assists HPC system administrators to be even more effective. Analyze-IT provides an extensible platform that presents the state of your HPC infrastructure through simple and comprehensible dashboards.Whether you need high level KPIs to report the cluster usage, or low level information to track down the origin of an issue; Analyze-IT gives you the right level of details. Analyze-IT provides hundreds of KPIs and supports all major job schedulers. Analyze-IT Standard Edition contains the following features: Job Status (Number of jobs and core-hours consumed per job status),Load (Allocated cores through time, and number of jobs allocated per node), Throughput (Submission frequency, slowdown, interarrival), Resources (Number of cores & core-hours, memory and nodes consumed by the jobs), Consumers (Grouping of jobs per Group, User, JobName, Queue/Partition, QoS, Parallel Environment. For each, details about number of cores & core-hours, execution & waiting time, slowdown), Concurrent users (Active users per period), Congestion/Contention (provides a day-to-day update of the cluster status (Optimal, Acceptable, Contention, Congestion) based on resources needs and delivered computing power, and jobs life cycle for each day. It helps to identify if the cluster is correctly sized and configured, or if upgrades should be performed or if additional/external resources could be beneficial)
Highlights
- Improve Cluster Quality of Service: How long do your jobs spend in queue compared to their actual runtime. Do you have a high proportion of failed/ cancelled/timeout jobs.
- Limit waste of Compute Resources: How many of your jobs do not require high-speed network and could run on cheaper nodes. What resources are left unused, while requested by your users.
- Plan future resource needs: When do you have peak capacity needs. How do you dimension your future cluster's size.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2
Deployed on AWS
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Pricing
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- Monthly subscription
- $250.00/month
Dimension | Cost/hour |
|---|---|
c5.2xlarge Recommended | $60.00 |
r5.12xlarge | $60.00 |
m5.2xlarge | $60.00 |
c6i.metal | $60.00 |
r5.xlarge | $60.00 |
r6i.4xlarge | $60.00 |
m5.16xlarge | $60.00 |
r6i.2xlarge | $60.00 |
r6i.xlarge | $60.00 |
r5.4xlarge | $60.00 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance you run this software on. Each dimension maps to a specific instance type, so pricing scales with the compute size you choose. The options span four instance families: c5 and c6i (compute-optimized), m5 (general-purpose), and r5, r5b, and r6i (memory-optimized). Within each family, sizes range from large through metal (bare-metal) configurations. Larger sizes carry higher hourly rates because they provide more CPU and memory. You select the instance that fits your HPC analysis workload and pay only for the hours you use.
Top-of-mind questions for buyers
The hourly rate covers the software licence for this HPC analytics platform, metered per running instance-hour. It runs on top of the AWS EC2 instance you launch. You pay both the software charge shown here and the underlying AWS infrastructure cost for that instance type.
The software charge meters running instance-hours only. When you stop the instance, the hourly software charge stops accruing. Note that stopped instances may still incur underlying AWS storage fees for attached volumes, but those are separate from this listing's software licence.
Match the instance family to your analysis needs. Compute-optimized c5 and c6i suit CPU-heavy processing. General-purpose m5 balances CPU and memory. Memory-optimized r5, r5b, and r6i suit large datasets. Within each family, larger sizes provide more CPU and memory at a higher hourly rate.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
See https://doc.oka.how/releases/release_content.html for the latest release. Or see the same page on https:///doc/releases/release_content.html for the exact version present on your AMI.
Additional details
Usage instructions
Instructions on how to start an instance and access Analyze-IT are provided on https://doc.oka.how/admin_guide/installation/oka_on_aws.html
Support
Vendor support
Support is available through our helpdesk website
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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