BELLEVUE, WASH. — May 14, 2024 — Today, ScaleOut Software introduces Version 3 of its ScaleOut Digital Twins cloud service and on-premises hosting platform. The latest release introduces a cutting-edge user interface designed to streamline the deployment and management of digital twins. It also adds advanced capabilities for constructing large-scale simulations using digital twins and establishing connections with a wider array of messaging sources. Notably, Version 3 seamlessly integrates with Amazon Dynamo DB, offering enhanced persistence capabilities.

“With the unveiling of ScaleOut Digital Twins, Version 3, we’re thrilled to introduce significant enhancements to our digital twin development and hosting platform,” declared Dr. William Bain, CEO and founder of ScaleOut Software. “As we collaborate with our clients to explore novel applications for digital twins within large-scale systems, we continue to uncover new ways to harness the combined power of digital twins and in-memory computing.

Key Features and Benefits of ScaleOut Digital Twins, Version 3:

• Easily Deploy and Manage Digital Twin Models: The new user interface reorganizes information to make it easier than ever to manage application deployment and status tracking for digital twin models. A new navigation design makes it easier to find key functions and access system statistics.
• Seamlessly Aggregate Statistics and Query Digital Twins: UI features in this new version simplify the creation of aggregate statistics that track large populations of digital twins and visualize live results. New capabilities enable continuous tabular queries and provide automatic query storage.
• Create and Manage Message Recordings: Users can create recordings of incoming real-time messages for replay during digital twin simulations and persist them to SQL Server. This enables application designers to refine and then test their analytics for real-time monitoring. It also enables the use of device messages to drive simulations for predictive modeling.
• Connect to New Message Sources and Persistence Stores: With ScaleOut Digital Twins, Version 3 users can connect digital twin models to open-source Kafka running on-premises or Azure Kafka running in the cloud. Digital twins can now be persisted to AWS Dynamo DB in addition to SQL Server and Azure Digital Twins.

Application developers can take advantage of ScaleOut’s open-source APIs to construct digital twin models for real-time monitoring and simulation on the ScaleOut Digital Twins platform. Prior to deployment at scale with thousands of digital twins, they can test applications using an open-source workbench.

The ScaleOut Digital Twins platform uses highly scalable, in-memory computing technology to host thousands of digital twins for monitoring live data from IoT devices and other data sources, enabling real-time analytics that provide actionable results in seconds. The platform also runs large-scale simulations that aid in the design and operation of complex systems, such as transportation and logistics networks, smart cities, and more.

For more information, please visit www.scaleoutdigitaltwins.com and follow @ScaleOut_Inc on X.

Additional Resources:

• Reimagining the ScaleOut Digital Twins UI for Version 3 blog post
• ScaleOut Digital Twins Product Page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. The company is headquartered in Bellevue, Washington.

Media Contact

Kristin Peixotto

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com  
253-225-8029

The post ScaleOut Software Expands Digital Twins Potential with Version 3 Release appeared first on ScaleOut Software.

BELLEVUE, WASH. — December 12 — ScaleOut Software today announces the first open-source release of its digital twin APIs and development workbench for its ScaleOut Digital Twins hosting platform. Digital twin APIs allow developers to build powerful applications for real-time monitoring and simulating large systems. The workbench enables fast development and testing of digital twin applications before deployment. To help accelerate the development of digital twin applications, ScaleOut Software is releasing these components as open source under the Apache 2.0 license. 

Going beyond product lifecycle management (PLM), which focuses on improving product design, digital twins enable important new capabilities for real-time monitoring and simulating systems with thousands of components. For example, they allow applications to analyze streaming data in real time instead of requiring offline batch analytics. They can also simulate large complex systems to improve design choices and decision making. Digital twins offer key benefits to data analysts and managers in a wide range of industries, including transportation, logistics, security, healthcare, disaster recovery, and financial services. 

“We are excited to open source our digital twin APIs and new development workbench so that application developers can easily use digital twins to create a new generation of applications,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “These freely accessible software components should simplify and accelerate the development of digital twin applications and encourage community participation.” 

The ScaleOut Digital Twins platform uses highly scalable, in-memory computing technology to host thousands of digital twins for monitoring real-time data from IoT devices and other data sources, enabling real-time analytics that provides actionable results in seconds. The platform also runs large-scale simulations that aid in the design of complex systems, such as airline logistics and traffic control networks. 

Application developers use ScaleOut’s open-source APIs to build digital twin models for deployment on the ScaleOut Digital Twins platform. They can now use the open-source workbench to test application code built using these APIs and gain immediate feedback that shortens the design cycle. Once tested, developers can deploy applications on the platform to run at scale with thousands of digital twins. 

Key Features and Benefits for ScaleOut Software’s Digital Twin APIs and Workbench: 

• Easily Build Digital Twin Models: ScaleOut’s open-source APIs enable developers to build digital twin models in Java or C#. These models serve as templates for creating digital twins. The APIs employ standard, object-oriented design principles to simplify development and avoid the use of specialized or platform-specific techniques. 
• Easily Test Digital Twin Models: ScaleOut’s open-source workbench lets developers test their digital twin models for both real-time monitoring and simulation in the user’s native development and test environment. The workbench accelerates application development by avoiding the need to deploy models to the hosting platform during the development process. 
• Greater Ease of Access and Flexibility: Because ScaleOut’s digital twin APIs and workbench are freely available as open-source components, developers can download them at no cost and immediately start building digital twin applications. These APIs can also serve as the basis for creating digital twins that run on other platforms and provide cross-platform compatibility. 
• Enable High Performance: ScaleOut’s digital twin model simplifies hosting on scalable, in-memory computing platforms. In-memory hosting dramatically reduces latency when digital twins access state information or process messages for both real-time analytics and simulation. It also enables high processing rates that support the creation of thousands of digital twins. 

For more information, please visit www.scaleoutdigitaltwins.com and follow @ScaleOut_Inc on Twitter.  

Additional Resources: 

• ScaleOut Open Source APIs and Workbench Blog Post 
• ScaleOut Digital Twins Product Page 
• GitHub Repositories for Java and C# Open-Source APIs 

About ScaleOut Software 

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.  

Media Contact 

Brendan Hughes  

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246 

The post ScaleOut Software Releases Open-Source APIs for Digital Twins and Development Workbench appeared first on ScaleOut Software.

Introducing the latest ScaleOut Software video release: Preventing Train Derailments with Real-Time Digital Twins. Modern society relies on complex transportation networks to keep things moving smoothly, but when issues arise, the consequences can be substantial. In 2022 alone, over 1,100 train derailments in the US led to damages exceeding $100 million. Costs from the East Palestine, Ohio train derailment in February 2023 reached a staggering $803 million.

Many costly train derailments could potentially be prevented using a combination of existing infrastructure and new real-time digital twin technology. In this video, you’ll learn how real-time digital twins can revolutionize accident prevention for railroads by monitoring live data and taking action before derailments occur. See how digital twins can analyze data from existing trackside detectors simultaneously and determine when wheel bearings are likely to fail. Watch a simulation that illustrates how ScaleOut’s digital twins can predict problems and intervene to prevent accidents.

• Learn more about ScaleOut’s Digital Twin Streaming Service
• Subscribe to ScaleOut’s Youtube channel for more videos

The post Video: Preventing Train Derailments with Real-Time Digital Twins appeared first on ScaleOut Software.

In this talk, Dr. Bain described a new vision for digital twins that takes them beyond traditional applications to address challenges faced by managers of large systems with thousands or even millions of data sources. Digital twins can implement streaming analytics that continuously monitor these complex systems for emerging issues and help managers boost their situational awareness.

Numerous applications can benefit from this new use of digital twins. Examples described in the talk include tracking vehicle fleets and logistics networks, improving the safety of transportation systems, and assisting in disaster recovery.

ScaleOut Software’s in-memory computing technology makes it possible to simultaneously host thousands of digital twins and run both streaming analytics and simulations. The talk explains how this technology adds real-time aggregate analytics while lowering response times and scaling performance.

Download The Presentation Slides

• Learn more about the ScaleOut Digital Twin Streaming Service.
• Watch Dr. Bain’s previous digital twin talk.

The post CEO William Bain Gives Talk for the Digital Twin Consortium appeared first on ScaleOut Software.

Watch the video below:

• Learn more about ScaleOut’s Digital Twin Streaming Service
• Watch Dr. Bain’s previous interview with Techstrong TV

The post Watch: Founder and CEO William Bain Talks Real-Time Digital Twins with Techstrong TV appeared first on ScaleOut Software.

BELLEVUE, WASH. — June 15, 2023 — ScaleOut Software today announced that its product suite now includes Google Cloud support. Applications running in Google Cloud can take advantage of ScaleOut’s industry leading distributed cache and in-memory computing platform to scale their performance and run fast, data-parallel analysis on dynamic business data. The ScaleOut Product Suite is a comprehensive collection of production-proven software products, including In-Memory Database, StateServer, GeoServer, Digital Twin Streaming Service, StreamServer and more. This integration complements ScaleOut’s existing Amazon EC2 and Microsoft Azure Cloud support to provide comprehensive multi-cloud capabilities.

“We are excited to add Google Cloud Platform support for hosting the ScaleOut Product Suite,” said Dr. William Bain, CEO of ScaleOut Software. “This support further broadens the public cloud options available to our customers for hosting our industry-leading distributed cache and in-memory analytics. Google’s impressive performance enables our distributed cache to deliver the full benefits of automatic throughput scaling to applications.”

Key benefits of ScaleOut’s support for the Google Cloud Platform include:

• Simplified Deployment and Management: Users can take advantage of the ScaleOut Management Console to deploy a distributed cache to Google Cloud using a step-by-step wizard and track its status.
• Automatic Clustering: Distributed caches comprising one or more virtual servers automatically create a single compute cluster to serve client requests with both scalability and high availability.
• Automatic Client Connectivity: Client applications running either within Google Cloud or from remote sites can automatically connect to all caching servers within a cluster just by specifying the cluster’s name.
• Elastic Performance: Using the management console, users can add or remove virtual servers from a distributed cache to meet the needs of application workloads. In addition, users can implement auto-scaling policies based on performance measures, such as memory usage.

Distributed caches, such as the ScaleOut Product Suite, allow applications to store fast-changing data, such as e-commerce shopping carts, stock prices, and streaming telemetry, in memory with low latency for rapid access and analysis. Built using a cluster of virtual or physical servers, these caches automatically scale access throughput and analytics to handle large workloads. In addition, they provide built-in high availability to ensure uninterrupted access if a server fails. They are ideal for hosting on cloud platforms, which offer highly elastic computing resources to their users without the need for capital investments.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• ScaleOut Google Cloud Platform blog post
• ScaleOut Product Suite information

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

Media Contact

Brendan Hughes

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

The post ScaleOut Software Adds Google Cloud Support Across Products appeared first on ScaleOut Software.

BELLEVUE, WASH. — February 21, 2023 — ScaleOut Software today announces new device modeling and simulation capabilities for its ScaleOut Digital Twin Streaming Service. These capabilities extend the service’s ability to perform real-time analytics at scale using digital twins to track devices and other real-world data sources. Users can now simulate the behavior of these data sources using digital twins prior to deployment as a tool to evaluate design choices and improve decision-making. This offers several benefits to data analysts and managers in a wide range of industries, including telematics, logistics, security, healthcare, crime prevention, and financial services.

Going beyond product lifecycle management (PLM), which focuses on improving product design, ScaleOut Software’s new simulation capabilities using digital twins also can assist in developing real-time analytics applications. The streaming service now enables digital twins to both generate and analyze telemetry. For example, developers can model a fleet of trucks with digital twins that send telemetry to additional digital twins which implement real-time analytics for tracking the fleet, identifying issues, and evaluating performance. The streaming service also can record telemetry from live devices and replay it in simulation to assist in performing offline analytics.

“We are excited to extend the capabilities of our streaming service to harness digital twins for both simulation and real-time analytics,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “By hosting digital twins using our highly scalable, in-memory computing technology, we enable our customers to simulate large systems with complex interactions and gain insights not previously possible.”

Managers can also use ScaleOut Software’s simulation capabilities to model thousands of interacting data sources and predict likely outcomes faster than real time. For example, they can model the effect of delays for an airline’s flight schedule within a multi-hour, forward-looking window to predict and mitigate impacts on passengers caused by weather and equipment issues. This predictive capability can assist in decision-making during real-time operations.

Key Features and Benefits for ScaleOut Software’s Digital Twin Simulations:

• Build Simulations at Scale: Now developers can construct simulations that model thousands of devices and other data sources. Fast, in-memory computing ensures high throughput and seamless scaling during simulations with built-in high availability.
• Model with Digital Twins: Developers can harness the popular digital twin model to describe various physical entities using a powerful but easy-to-use, object-oriented representation of each device or data source. The ScaleOut Digital Twin Builder Toolkit lets developers construct digital twin models in both Java and C#.
• Combine Modeling and Analytics: The ScaleOut Digital Twin Streaming Service now helps managers use digital twins to both analyze telemetry from real-world data sources and to model those data sources. This simplifies the creation of workload generators for evaluating real-time analytics. The platform also allows a single digital twin instance to both simulate a data source’s behavior and analyze its telemetry.
• Capture and Replay Live Telemetry: The streaming service can capture telemetry from live data sources and replay it in simulation. This capability streamlines workload generation for simulations and enables offline analysis of live scenarios.
• Make Predictions with Simulation: The streaming service can configure simulations to run faster than real-time. This aids decision-making for operational managers by enabling simulations to predict future events based on parameterizable scenarios.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• ScaleOut Digital Twin simulations blog post
• ScaleOut Digital Twin Streaming Service product page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

Media Contact

Brendan Hughes

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

The post ScaleOut Software Adds Simulation Capabilities to its Digital Twin Streaming Service appeared first on ScaleOut Software.

Check out the blog post and video from distinguished software architect and .NET guru Steve “ardalis” Smith on the challenges of scaling single-server Redis and how ScaleOut In-Memory Database tackles them with fully automated cluster technology to avoid complex manual configuration steps.

Steve Smith is a well-known entrepreneur and software developer. He is passionate about building quality software and spreading his knowledge through training workshops, speaking at developer conferences, and sharing his experience on his blog and podcast. Steve Smith has also been recognized as a Microsoft MVP for over ten consecutive years.

The post Steve Smith Review: Simplify Redis Clustering with ScaleOut IMDB appeared first on ScaleOut Software.

 BELLEVUE, WASH. — November 9, 2022 — ScaleOut Software today introduced a new Java client API for its distributed caching platform, ScaleOut StateServer, adding important new features and reliability improvements for developing modern, Java-based web applications. Designed with cloud-based deployments and flexibility in mind, the Java client API can be used within any web application and independent of any framework. This means that organizations can easily incorporate the ScaleOut client API within their existing application architectures.

The ScaleOut Java client API enables applications to store and retrieve POJOs (plain old java objects) from multiple ScaleOut in-memory data grids (IMDGs; also called distributed caches) and provides an easy to use, fast, cloud-ready caching API.

“We are pleased to offer developers our new Java client API for increased flexibility,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “By accessing ScaleOut StateServer with this API, organizations can build modern cloud applications in Java while improving connectivity and application performance.”

New features include:

• Simultaneous connections: Enables simultaneous connections from Java clients to multiple caches across availability zones to ensure data availability in cloud environments.
• Built-in support for connection strings: Simplifies connectivity to multiple distributed caches and incorporates DNS support.
• Asynchronous API access: Enhances flexibility in application design and assists in optimizing performance.

Additional Resources:

• Developer blog post on new ScaleOut Java Client API
• ScaleOut Java Client User Guide
• ScaleOut Java Client API Documentation
• Sample applications using ScaleOut Java API on GitHub

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

Media Contact

Brendan Hughes

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

The post ScaleOut Software Introduces New Java Client API for Improved Application Development Flexibility appeared first on ScaleOut Software.

play a vital role in many applications, but when it comes time to cluster Redis for scaling and high availability, you can face daunting challenges. Open-source Redis clusters need at least six servers for high availability, and system administrators need to learn how to manage arcane concepts like hash slots and shards. Check out our new video which explains how ScaleOut In-Memory Database (IMDB) automates Redis clustering so that you can add and remove servers with a single command — starting with just two servers. ScaleOut IMDB also ensures that the cluster implements strong consistency to keep stored data safe and IT costs low.

Subscribe to ScaleOut’s YouTube channel to see the latest explainer videos, interviews, tech talks and more!

The post New Video: Automated Clustering for Redis appeared first on ScaleOut Software.

Version 2 of the ScaleOut Digital Twin Streaming Service Adds Key Capabilities for Application Development in Real-World Use Cases

BELLEVUE, Wash – September 13, 2022 — ScaleOut Software today introduces Version 2 of the ScaleOut Digital Twin Streaming Service with powerful new features for building digital twin models that meet the needs of real-world applications. With this release, developers can now create digital twin models in C# using .NET 6 for deployment on both Windows and Linux systems. Digital twin models also include new capabilities, such as timers for detecting missing messages from IoT devices and automatic initialization of all digital twins from file-based data. This release also provides performance improvements in the Azure-based execution platform to harness the latest features in .NET 6.

The ScaleOut Digital Twin Streaming Service delivers innovative, industry-leading technology that uses the digital twin model to implement streaming analytics in live systems. This release builds on Version 1’s comprehensive feature set, which integrates machine learning into digital twins using Microsoft’s ML.NET library, provides intuitive business rules to build digital twin models, and integrates with Microsoft’s Azure Digital Twins.

“We are pleased to release the second major version of our digital twin streaming service with exciting new features for developers,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “Digital twins have the potential to significantly boost situational awareness for a wide range of mission-critical applications. We believe this release will further accelerate adoption of digital twins in applications that track live systems with many data sources.”

New Features and Benefits of the ScaleOut Digital Twin Streaming Service, Version 2

Version 2 introduces new capabilities for digital twins that address the requirements of real-world applications. Digital twins can now provide more comprehensive support for tracking data sources in a wide range of live, mission-critical use cases, including healthcare IT, physical security systems, logistics operations, disaster response, telematics, and more. New capabilities include:

• Enhanced Support for C#-Based Digital Twins: Using .NET 6, developers can now target both Windows and Linux operating systems for on-premises deployment of C# digital twin models. This extends previous support for building C# models using the .NET Framework on Windows only. The ScaleOut Digital Twin Streaming Service also lets developers build digital twin models in Java or JavaScript and by using a built-in rules engine.
• Integrated Timers to Improve Digital Twin Alerting: Developers can now create timers that trigger code execution. These timers enable digital twins to detect missing or delayed messages from data sources and signal alerts when needed. This capability is important in live applications that must identify failed or unreliable devices, such as smoke detectors and security sensors.
• Aggregate Initialization of Digital Twin Applications: Users of the ScaleOut Digital Twin Streaming Service can now create and initialize digital twins using file-based data. They can optionally supply a .csv file to the service’s UI when a model is deployed for this purpose. In Version 1, digital twins were automatically created when messages arrived from their data sources. This feature enables early detection of unresponsive data sources.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• Version 2 of ScaleOut Digital Twin Streaming Service Blog Post
• ScaleOut Digital Twin Streaming Service Product Page
• Azure Digital Twins Integration Blog Post

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

Media Contact

Brendan Hughes

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

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The post ScaleOut Software Announces Major Upgrade of its Digital Twin Service appeared first on ScaleOut Software.

In ScaleOut Software’s new animated video, IT workers Jack and Jill need to create a Redis®* cluster to handle their eCommerce company’s increasing traffic load. Just as the task becomes frustratingly complex and threatens to send them over budget, their wise yet mysterious colleague François steps in to show them a better way with ScaleOut In-Memory Database. But who is François really, and how does he know so much about ScaleOut? Watch this video and learn about the challenges of Redis clustering and the exciting advantages of ScaleOut In-Memory Database!

Subscribe to ScaleOut’s YouTube channel to see the latest explainer videos, interviews, tech talks and more!

The post Video: Jack and Jill Create a Redis®* Cluster – and ScaleOut Saves the Day! appeared first on ScaleOut Software.

In this video, Bill explains how digital twins can make use of object-oriented programming techniques and in-memory computing to implement real-time analytics at scale. These combined technologies can enable a wide range of live applications to track thousands of data sources, identify issues, and respond in the moment.  Target applications include IoT, telematics, logistics, disaster management, health-device tracking, energy management, cyber and physical security, and fraud detection.

ScaleOut Software offers an in-memory, digital twin platform designed to provide real-time analytics for applications with many data sources. The ScaleOut Digital Twin Streaming Service runs as an Azure-based cloud service and on-premises for developing and running object-oriented digital twin models written in C#, Java, and JavaScript. It includes a comprehensive UI for managing digital twins, aggregating and querying their dynamic state, and visualizing real-time trends.

The post New Video Interview by the Digital Twin Consortium appeared first on ScaleOut Software.

ScaleOut In-Memory Database Creates a Breakthrough in Scaling and Ease of Use for Redis Users

BELLEVUE, Wash – June 14, 2022 – ScaleOut Software today introduces ScaleOut In-Memory Database with support for Redis clients as a full production release. Redis clients can now connect to a cluster of ScaleOut servers to run Redis commands and dramatically improve their ease of use, scaling, and automated data recovery. Redis users can also simultaneously backup and restore all cluster nodes with a single command. Designed for use in enterprise deployments, these combined capabilities maximize cost savings and computing resources, and they eliminate key limitations of commercial Redis products.

ScaleOut In-Memory Database incorporates open-source Redis version 6.2.5 code to process Redis commands, and it offers the flexibility to run on either Linux or Windows servers. This full production release supports all popular Redis data structures (strings, sets, sorted sets, lists, hashes, geospatial, hyperloglog, and streams), as well as transactions, publish/subscribe commands, and blocking commands. Not supported in this release are LUA scripting, modules, and AOF persistence.

Unlike open-source Redis, ScaleOut In-Memory Database implements fully consistent updates to stored data. In addition, ScaleOut In-Memory Database’s native APIs run alongside Redis commands and include advanced features, such as data-parallel computing, streaming analytics, and coherent, wide-area data replication, which are not available on open-source Redis clusters.

Key capabilities include:

• Actual Redis Open-Source Code: ScaleOut In-Memory Database has integrated Redis version 6.2.5 into its software architecture to manage stored data as a single Redis database and to run all Redis commands. Results produced by Redis commands are identical to those from a Redis open-source server.
• Dramatically Simplified and Enhanced Cluster Management: ScaleOut In-Memory Database automatically manages all cluster operations, including hashslot creation, load-balancing, data replication, failure detection, and recovery. It distributes Redis hashslots across a server cluster and redistributes them as servers are added or removed. It also uses fully coherent cluster membership to detect server or network outages, rebalance workloads on surviving servers, and create additional replicas to maintain redundancy of stored data.
• Advanced Client Management: ScaleOut In-Memory Database simplifies client applications by always providing clients with accurate information about the location of hashslots. It automatically stalls client commands while hashslots are in motion to avoid client-side exceptions and ensure that clients always see a seamless cluster view.
• Multi-Threaded Architecture: ScaleOut In-Memory Database’s multi-threaded architecture automatically uses all processing cores to accelerate the execution of Redis commands. This eliminates the single-threaded bottleneck created by Redis’ event-loop architecture and avoids the complexity of deploying additional “shards” to boost throughput on each server.

“We are excited to deliver the full production version of our clustered server platform for Redis with ScaleOut In-Memory Database,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “Enterprise Redis users can now take advantage of ScaleOut In-Memory Database to dramatically simplify their cluster management, enable reliable data storage, and reduce their total cost of ownership.”

Benefits of ScaleOut In-Memory Database for Redis

ScaleOut In-Memory Database offers these key benefits for Redis users:

• Battle-Tested Software Architecture: Developed over more than 19 years and proven in hundreds of mission-critical deployments, ScaleOut In-Memory Database’s software technology was designed from the ground up for transparent throughput scaling with integrated high availability and maximum ease of use. In contrast, Redis was conceived as a single-server, data structure store and later enhanced to add clustering features.
• Full Data Consistency: Unlike Redis clusters, which employ an eventual consistency model for updating stored data, ScaleOut In-Memory Database implements full data consistency using a patented, quorum-based algorithm. This ensures that the caching cluster never serves stale data after a server fails and matches the needs of business-critical operations.
• Transparent Throughput Scaling: By employing a multi-threaded software architecture to execute Redis commands, ScaleOut In-Memory Database automatically scales its performance to take advantage of the processing cores on each server. By comparison, Redis uses a single-threaded event loop and requires that multiple “shards” be deployed on each server to increase processing throughput.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• Announcing ScaleOut In-Memory Database for Redis Users blog post
• ScaleOut Software Redis Support Product Page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

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Contact:
Brendan Hughes
RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

*Redis is a registered trademark of Redis Ltd. and the Redis box logo is a mark of Redis Ltd. Any rights therein are reserved to Redis Ltd. Any use by ScaleOut Software is for referential purposes only and does not indicate any sponsorship, endorsement or affiliation between Redis and ScaleOut Software.

The post ScaleOut Software Announces Production Release of Redis®* Integration appeared first on ScaleOut Software.

BELLEVUE, Wash – March 29, 2022 – ScaleOut Software today announces support for Redis clients in ScaleOut StateServer® Version 5.11 as a community preview. With this release, Redis users can harness the company’s flagship distributed caching product to connect to a cluster of ScaleOut servers and execute Redis commands. This integration of Redis open-source software with ScaleOut StateServer adds breakthrough capabilities for Redis users by dramatically simplifying cluster management, enabling seamless throughput scaling, and automating recovery from server and network outages. Targeted at enterprise users, ScaleOut StateServer now offers important new capabilities and the potential for substantial cost savings over competing commercial Redis products.

Redis clients can connect to a ScaleOut StateServer cluster in the same way that they connect to a Redis cluster and by using the same RESP protocol. This version implements all Redis data structures (strings, sets, sorted sets, lists, and hashes), as well as transactions, publish/subscribe commands, and utility commands. This release does not include support for streams, modules, LUA scripting, and AOF persistence. Redis support incorporates open source Redis version 6.2.5 code to process Redis commands, and it offers the flexibility to run on either Linux or Windows servers.

Unlike open-source Redis, ScaleOut StateServer implements fully consistent updates to stored data. In addition, ScaleOut StateServer’s native APIs run alongside Redis commands and incorporate advanced features, such as data-parallel computing, streaming analytics, and coherent, wide-area data replication that are not available on open source Redis clusters.

Key capabilities include:

• Actual Redis Open-Source Code: ScaleOut StateServer has integrated Redis version 6.2.5 into its software architecture to manage stored data as a single Redis database and to execute all Redis commands. Results produced by Redis commands are identical to those from a Redis open-source server.
• Dramatically Simplified and Enhanced Cluster Management: ScaleOut StateServer automatically manages all cluster operations, including hashslot creation, load-balancing, data replication, failure detection, and recovery. It distributes Redis hashslots across a server cluster and redistributes them as servers are added or removed. It also uses fully coherent cluster membership to detect server or network outages, rebalance workloads on surviving servers, and create additional replicas to maintain redundancy of stored data.
• Advanced Client Management: ScaleOut StateServer simplifies client applications by always providing clients with accurate information about the location of hashslots. It automatically stalls client commands while hashslots are in motion to avoid client-side exceptions and ensure that clients always see a seamless cluster view.
• Multi-Threaded Architecture: ScaleOut StateServer’s multi-threaded architecture automatically uses all processing cores to accelerate the execution of Redis commands. This eliminates the single-threaded bottleneck created by Redis’ event-loop architecture and avoids the complexity of deploying additional “shards” to boost throughput on each server.

“We are excited to provide a new execution platform for Redis clients with ScaleOut StateServer to meet the needs of enterprise users,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “By incorporating this technology, Redis users can take advantage of ScaleOut StateServer’s industry-leading features for cluster management to both reduce their operating costs and gain full consistency for stored data.”

Benefits of Redis Support on ScaleOut StateServer

Incorporating Redis into ScaleOut StateServer’s offers these key benefits:

• Battle-Tested Software Architecture: Developed over more than 19 years and proven in hundreds of mission-critical deployments, ScaleOut StateServer’s software technology was designed from the ground up for transparent throughput scaling with integrated high availability and maximum ease of use. In contrast, Redis was conceived as a single-server, data structure store and later enhanced to add clustering features.
• Full Data Consistency: Unlike Redis clusters, which employ an eventual consistency model for updating stored data, ScaleOut StateServer implements full data consistency using a patented, quorum-based algorithm. This ensures that the caching cluster never serves stale data after a server fails and matches the needs of business-critical operations.
• Transparent Throughput Scaling: By employing a multi-threaded software architecture to execute Redis commands, ScaleOut StateServer automatically scales its performance to take advantage of the processing cores on each server. In contrast, Redis uses a single-threaded event loop and requires that multiple “shards” be deployed on each server to increase processing throughput.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• New Execution Platform for Redis Clients Blog Post
• ScaleOut Software Redis Support Product Page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

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Contact:

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

*Redis is a registered trademark of Redis Ltd. and the Redis box logo is a mark of Redis Ltd. Any rights therein are reserved to Redis Ltd. Any use by ScaleOut Software is for referential purposes only and does not indicate any sponsorship, endorsement or affiliation between Redis and ScaleOut Software.

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BELLEVUE, Wash., Jan. 13, 2022 – ScaleOut Software today announced that its Digital Twin Streaming Service has been selected as the winner of the “IoT Analytics Innovation Award” in the 6^th annual IoT Breakthrough Awards program conducted by IoT Breakthrough, a leading market intelligence organization that recognizes the top companies, technologies and products in the global Internet-of-Things (IoT) market today.

ScaleOut Software’s Digital Twin Streaming Service is a cloud service that simultaneously tracks telemetry from millions of data sources enabling immediate, thorough introspection with state-tracking and highly targeted, real-time feedback for thousands of devices. The service enables the next generation in stream processing and is ideal for a wide range of applications, including IoT, real-time intelligent monitoring, logistics and financial services.

The solution merges concepts from digital twins and in-memory computing to create a novel software construct called a “real-time digital twin” for every data source/IoT device that is being tracked. This real-time digital twin holds dynamic state information about the data source and runs the application’s message-processing code within 1-2 milliseconds whenever an incoming event is received.

“While there is an essential role for query and offline analytics to optimize IoT services, the need for highly granular, real-time analytics continues to grow across industries and uses,” said Dr. William Bain, CEO and founder of ScaleOut Software. “Our ‘breakthrough’ Digital Twin Streaming Service squarely meets this need with an innovative analytics toolset and a powerful execution platform. We are incredibly grateful to receive this industry recognition in the 2022 IoT Breakthrough Awards program.”

The mission of the IoT Breakthrough Awards program is to recognize the innovators, leaders and visionaries from around the globe in a range of IoT categories, including Industrial and Enterprise IoT, Smart City technology, Connected Home and Home Automation, Connected Car, and many more. This year’s program attracted more than 3,850 nominations from companies all over the world.

“The use of intelligent IoT devices is exploding and generating more telemetry than ever before. However, extracting value from these devices requires streaming analytics that can quickly make sense of the torrents of incoming data and intelligently react to handle emerging issues or capture new opportunities in the moment,” said James Johnson, managing director at IoT Breakthrough. “Congratulations to ScaleOut Software for winning the ‘IoT Analytics Innovation Award.’ Their Digital Twin Streaming Service creates a powerful new way to address these challenges with continuous, real-time introspection on the dynamic state of IoT devices to better predict and immediately react to significant changes.“

Additionally, ScaleOut’s streaming service handles all the details of message delivery, data management, code orchestration, and scalable execution. It employs in-memory computing techniques to immediately detect issues while also providing built-in data aggregation, visualization, and query on data managed by the digital twins that give managers immediate, actionable insights.

With ScaleOut Software’s Digital Twin Streaming Service, application developers can use popular languages like Java, create business rules, or deploy a machine learning algorithm with no code required. The streaming service also provides an intuitive UI to deploy digital twin models and connect to cloud services, such as message hubs. This powerful UI simplifies deployment and displays aggregate analytics in real time to maximize situational awareness.

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About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

About IoT Breakthrough
Part of the Tech Breakthrough, a leading market intelligence and recognition platform for global technology innovation and leadership, the IoT Breakthrough Awards program is devoted to honoring excellence in Internet-of-Things technologies, services, companies and products. The IoT Breakthrough Awards program provides a forum for public recognition around the achievements of IoT companies and products in categories including Connected Home and Home Automation, Connected Car, Industrial IoT (IIoT) and Smart City, Consumer IoT and more. For more information visit IoTBreakthrough.com.

The post ScaleOut Recognized for IoT Analytics Award in 2022 IoT Breakthrough Awards Program appeared first on ScaleOut Software.

BELLEVUE, Wash – November 9, 2021 – ScaleOut Software today announced major extensions to the ScaleOut Digital Twin Streaming Service that integrate its Azure-based in-memory computing platform with Microsoft’s Azure Digital Twins cloud service. This integration adds key new capabilities for real-time analytics to Azure Digital Twins and unlocks important new use cases in a variety of applications, such as predictive maintenance, logistics, telematics, disaster recovery, cyber and physical security, health-device tracking, IoT, smart cities, financial services, and ecommerce.

The new ScaleOut Azure Digital Twins Integration is a set of extensions to the ScaleOut Digital Twin Streaming Service which adds a real-time component to Azure digital twin models. With this integration, ScaleOut Software’s real-time components can perform low-latency message ingestion and processing with immediate access to their corresponding Azure digital twin’s properties instead of requiring Azure serverless functions to perform these functions. In addition, the ScaleOut Digital Twin Streaming Service provides real-time data aggregation, continuous query, and real-time visualization for Azure digital twin properties.

The ScaleOut Azure Digital Twins Integration enables application developers to create and run a real-time component within an Azure digital twin. This component hosts message-processing code and state properties that are used to track and analyze telemetry from a single data source on behalf of its corresponding Azure digital twin instance. Message-processing code can be written in C#, Java, JavaScript, or using an intuitive rules-based language. It can also incorporate machine learning algorithms implemented using Microsoft’s ML.NET library that require no code development and continuously examine incoming telemetry for anomalies.

Key capabilities include:

• Fast, In-Memory Processing and State Storage: Integrating ScaleOut’s real-time components enables Azure digital twins to leverage in-memory computing and perform message processing with lower latency and faster access to state information than serverless functions. In-memory computing also boosts scalability to handle thousands or even millions of data sources.
• Integrated Connectivity to Azure IoT Hub: The ScaleOut Digital Twin Streaming Service connects directly with Azure IoT Hub (and other message hubs) using a scalable software architecture for message ingestion and replies.
• APIs for Accessing Azure Digital Twin Properties: ScaleOut’s real-time components incorporate APIs that can read and update state properties in Azure digital twin instances. They also make it possible for Azure digital twins to store complex data structures, such as event lists.
• New Real-Time Visualization Tools. The ScaleOut Azure Digital Twins Integration also enables continuous data aggregation and charting of state properties held in Azure Digital Twin instances. Users can now also perform continuous queries with geospatial visualization.

“We are excited to combine our in-memory computing technology with the popular Azure Digital Twins platform to deliver fast, scalable insights that help address real-time challenges across industries,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “By incorporating this technology, ScaleOut Software is enabling a new wave of applications for Azure Digital Twins, and we look forward to helping our customers take full advantage of this integration to meet their real-time monitoring and streaming analytics capabilities.”

Benefits of ScaleOut Software’s Azure Digital Twins Integration

Adding real-time components to Azure digital twin models offers these key benefits:

• New Use Cases for Azure Digital Twins: This integration widens the spectrum of use cases for Azure Digital Twins. Countless applications, from telematics to cyber security, must track thousands of data sources with low latency and react quickly to emerging issues. They can now use ScaleOut’s real-time components to accomplish this with their Azure Digital Twins models.
• Enhanced Situational Awareness: Real-time data aggregation and visualization provided by ScaleOut’s real-time components provides a continuous view of the dynamic state of Azure digital twin instances. This maximizes situational awareness and enables managers to quickly identify and address emerging issues.
• Integrated Data View: The ScaleOut Azure Digital Twins integration seamlessly combines state properties for real-time components with other properties tracked by Azure digital twins, giving users a unified view of all data when using the Azure Digital Twins Explorer GUI tool.
• Simplified Application Development: The use of ScaleOut’s real-time components simplifies application development for message processing and accessing an Azure digital twin’s state. It also consolidates the code required by multiple serverless functions and avoids the need for application-specific code for message ingestion from Azure IoT Hub.
• Automatic Persistence: By integrating with Azure Digital Twins, ScaleOut’s real-time components automatically persist their state to Azure Digital Twins for offline storage. This enables them to run at fast, in-memory speed while saving and restoring their state across deployments on start up.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• Azure Digital Twins Integration Blog Post
• ScaleOut Digital Twin Streaming Service Product Page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

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Contact:

RH Strategic for ScaleOut Software
ScaleOutPR@rhstrategic.com
206-264-0246

The post ScaleOut Software Announces Azure Digital Twins Integration for its ScaleOut Digital Twin Streaming Service™ appeared first on ScaleOut Software.

BELLEVUE, Wash – October 5, 2021 – ScaleOut Software today announced major extensions to its ScaleOut Digital Twin Streaming Service that enable real-time digital twin software to implement and host machine learning and statistical analysis algorithms that immediately identify unexpected behaviors exhibited by incoming telemetry. Real-time digital twins can now make extensive use of Microsoft’s ML.NET machine learning library to implement these groundbreaking capabilities for virtually any IoT device or source object.

Integration of machine learning with real-time digital twins offers powerful new options for real-time monitoring across a wide variety of applications. For example, cloud-based real-time digital twins can track a fleet of trucks to identify subtle changes in key engine parameters with predictive analytics that avoid costly failures. Security monitors tracking perimeter entrances and sound sensors can use machine learning techniques to automatically identify unexpected behaviors and generate alerts.

By harnessing the no-code ScaleOut Model Development Tool, a real-time digital twin can easily be enhanced to automatically analyze incoming telemetry messages using machine learning techniques. Machine learning provides important real-time insights that enhance situational awareness and enable fast, effective responses. The tool provides three configuration options for analyzing numeric parameters contained within incoming messages to spot issues as they arise:

• Spike Detection: Tracks a single parameter from a data source to identify a spike in its values over time using an adaptive kernel density estimation algorithm implemented by ML.NET.
• Trend Detection: Also tracks a single parameter to identify a trend change, such as an unexpected increase over time for a parameter that is normally stable, using a linear regression algorithm that detects inflection points.
• Multi-Variable Anomaly Detection: Tracks a set of related parameters in aggregate to identify anomalies using a user-selected machine-learning algorithm implemented by ML.NET that performs binary classification with supervised learning.

Once configured through the ScaleOut Model Development Tool, the ML algorithms run automatically and independently for each data source within their corresponding real-time digital twins as incoming messages are received. Each real-time digital twin can automatically capture anomalous events for follow-up analysis and generate alerts to popular alerting providers, such as Splunk, Slack, and Pager Duty, to support remediation by service or security teams.

“We are excited to offer powerful machine learning capabilities for real-time digital twins that will make it even easier to immediately spot issues or identify opportunities across a large population of data sources,” said Dr. William Bain, ScaleOut Software’s CEO and founder. “ScaleOut Software has built the next step in the evolution of the Microsoft Azure IoT and ML.NET ecosystem, and we look forward to helping our customers harness these technologies to enhance their real-time monitoring and streaming analytics.”

Benefits of ScaleOut’s Real-Time Digital Twins with Machine Learning

Integrating machine learning into ScaleOut’s real-time digital twins offers these key benefits:

• Powerful New Capabilities for Tracking Data Sources: The use of machine learning dramatically enhances the ability of streaming analytics running in real-time digital twins to automatically predict and identify emerging issues, thereby boosting their effectiveness.
• Simultaneous Tracking for Thousands of Data Sources: The integration of machine learning with real-time digital twins using in-memory computing techniques enables thousands of data streams to be independently analyzed in real-time with fast, scalable performance.
• Fast, Easy Application Deployment: With the ScaleOut Model Development Tool, these new machine learning capabilities can be configured in minutes using an intuitive GUI. No code development or library integration is required. Applications can optionally take advantage of a fully integrated rules engine to enhance their real-time analytics.
• Seamless Use of Microsoft’s Powerful Machine Learning Library: Users can automatically take advantage of Microsoft’s industry-leading technology for machine learning (ML.NET) to enhance their real-time device tracking and streaming analytics.
• Virtually Unlimited Application: These new capabilities are useful across a wide variety of applications that track numeric telemetry, with use cases including telematics, logistics, security, healthcare, retail, financial services, and many others.

For more information, please visit www.scaleoutsoftware.com and follow @ScaleOut_Inc on Twitter.

Additional Resources:

• Machine Learning Supercharges Real-Time Digital Twins Blog Post
• ScaleOut Digital Twin Streaming Service Product Page

About ScaleOut Software

Founded in 2003, ScaleOut Software develops leading-edge software that delivers scalable, highly available, in-memory computing and streaming analytics technologies to a wide range of industries. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost. It has offices in Bellevue, Washington and Beaverton, Oregon.

###

Contact:

RH Strategic for ScaleOut Software

ScaleOutPR@rhstrategic.com

206-264-0246

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