Sold by: ScaleOut Software
Deployed on AWS
ScaleOut StreamServe(TM) provides a unified, in-memory software platform for both stateful stream-processing and data-parallel analytics in a wide range of applications. Applications can perform event analysis with in-memory state tracking for deep introspection and precise real-time feedback.
Overview
ScaleOut StreamServer combines a scalable, stream-processing compute engine with an integrated, in-memory data grid (IMDG) to create a powerful, unified software platform for both stateful stream-processing and data-parallel analytics in a wide range of applications, such as the Internet of Things (IoT), logistics, financial services, and much more. Applications can perform fast event analysis with in-memory state tracking using the digital twin model for deep introspection and precise real-time feedback. Data-parallel APIs, including MapReduce, enable real-time analytics of live data to detect and respond to aggregate trends.
Using ScaleOut StreamServer combined with the ScaleOut Digital Twin Builder(TM) software toolkit, developers can construct Java-based digital twin models of data sources for real-time streaming analytics. Digital twin models track the dynamic state of each individual data source to enable deeper introspection on incoming event messages, which results in better real-time feedback and alerting. Developers can easily implement object-oriented digital twin models, deploy them to the IMDG, and connect them to data sources using Kafka or REST. ScaleOut StreamServer cleanly separates application logic from the platform's orchestration mechanisms. The IMDG automatically scales its event-handling throughput to keep response times fast for large workloads. AWS instances include Standard Support. Premium support packages are available directly from ScaleOut Software.
Highlights
- Digital Twin Modeling: Applications can easily implement and deploy Java-based digital twin models of data sources to track their dynamic state and enhance introspection of incoming events for better real-time feedback and alerting.
- Integration with Kafka and REST: Easily connects to Kafka or REST to receive event messages from data sources. Automatically scales throughput across multiple Kafka brokers. Also provides Reactive Extensions APIs for posting messages.
- Fast Performance with Ease of Use: Automatically scales event-handling throughput and data-parallel analytics when virtual servers are added to keep response times fast for large workloads. Separates application logic from platform orchestration.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Standard Cluster Deployment
Latest version
Operating system
AmazonLinux 2.0.20240109.0
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $0.40 |
m5.4xlarge | $2.67 |
m4.4xlarge | $2.67 |
r5.24xlarge | $16.00 |
r5.large | $0.40 |
x1e.2xlarge | $1.33 |
t2.xlarge | $0.80 |
t3.xlarge | $0.80 |
x1e.4xlarge | $2.67 |
r4.16xlarge | $10.67 |
Dimensions summary
You pay by the hour for ScaleOut StreamServer, billed by the AWS EC2 instance type you run it on. Each dimension maps to a specific instance size across families like general purpose (m4, m5, t2, t3), compute optimized (c4, c5), memory optimized (r4, r5), and high-memory (x1, x1e). Larger instances offer more compute and memory, so the hourly rate scales with the size you choose. Pick the instance that fits your workload; no upfront commitment applies. You run the software on your own EC2 capacity for stateful stream processing.
Top-of-mind questions for buyers
Hourly software charges apply only while the instance runs. A stopped instance does not accrue software charges. You may still pay AWS for attached storage on a stopped instance, but the StreamServer hourly rate meters running time only. You pay for what you actively run.
Each unit is one hour of the software running on a single EC2 instance of the listed type. The instance family and size set the compute and memory available. You add servers to scale throughput, and each running instance meters its own hourly rate.
StreamServer scales across a cluster of EC2 instances. Each added instance meters its own hourly rate, so your total cost grows with the number of running instances and their sizes. There is no upfront commitment; you can scale the cluster up or down as demand shifts.
www.scaleoutsoftware.com
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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 http://www.scaleoutsoftware.com/support/release-history/ for full release notes.
Additional details
Usage instructions
To administer this product after deployment, if the Web Management Console was enabled, please visit http://<server>:4000/console/ (port 4000 is configurable during deployment). Alternatively, ScaleOut Software, Inc. provides ScaleOut Management Console on Windows, which can be installed separately and used for both deployment and management.
To acquire these tools on your management workstation, download and install the latest ScaleOut StateServer Remote Client installer for Linux operating systems or the ScaleOut StateServer installer for Windows systems from our Support Downloads page: http://www.scaleoutsoftware.com/support/support-downloads/ . On Windows operating systems, select the Remote Client/Cloud Mgt. setup type.
Once installed, please see the ScaleOut StateServer User Guide for step-by-step instructions to manage ScaleOut StateServer on Amazon Web Services. This help file can be found in the product installation directory on your local system, or online at http://www.scaleoutsoftware.com/support/product-documentation/ . On Windows systems, this help file is also available in the Start menu. Once opened, please review the sections under Deploying SOSS in the Cloud, including both the Overview and Deploying in Amazon Web Services sections.
Client applications running as a single instance or as multiple instances can connect to and make use of a deployed in-memory data grid using APIs provided by the ScaleOut StateServer Remote Client libraries. Client applications can run either within Amazon Web Services or on remote client systems. Please install the ScaleOut Remote Client libraries on all instances or servers that need to access a deployed in-memory data grid. Follow the instructions in the Product Documentation to enable a client application to dynamically connect to a named data grid within Amazon Web Services. These instructions explain how to configure the client configuration file, soss_client_params.txt, which the user stages in the ScaleOut StateServer installation folder on each client instance or remote client system prior to starting the client application.
The following packages are downloaded on deployment: Boto Python package
Resources
Vendor resources
Support
Vendor support
Standard Support & Maintenance plan included in pricing. Gold and Platinum Support available through ScaleOut Software directly. See http://www.scaleoutsoftware.com/scaleout-support for more details.
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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