Articles from ScaleOut Software

Today, ScaleOut Software introduces Version 6 of its ScaleOut Product Suite, industry-leading distributed caching and in-memory data grid software. This release introduces breakthrough capabilities not found in today’s distributed caching software products. At its core is ScaleOut Active Caching, a new technology that boosts performance by running application code directly within the distributed cache. It enables faster, more scalable applications across on-premises and cloud environments, benefitting industries from e-commerce and financial services to transportation, gaming, and beyond.

Today, ScaleOut Software introduces generative AI and machine-learning (ML) powered enhancements to its ScaleOut Digital Twins™ cloud service and on-premises hosting platform with the release of Version 4. This latest release introduces generative AI integration through OpenAI’s large language model, significantly expanding the ability of digital twins to analyze data, detect anomalies and provide real-time insights when monitoring complex live systems. By leveraging these capabilities, operations managers can quickly pinpoint and address emerging issues while reducing their workload. Version 4 also adds automatic retraining for ML algorithms running within digital twins, continuously improving their monitoring capabilities as they process new telemetry data.

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.

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.

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.

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.

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 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.

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.

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.

ScaleOut Software today released new visualization capabilities for its Azure hosted ScaleOut Digital Twin Streaming Service™ and companion, on-premises streaming analytics platform. This innovative streaming analytics approach enables organizations to separately process and analyze incoming streaming data from thousands of data sources and to gain immediate insights that previously required offline batch processing to uncover. With the addition of geospatial mapping for real-time continuous queries, users can now visualize key analytics results with richer contextual information and boost their situational awareness of complex, dynamic systems.