Announcing ScaleOut Digital Twins™ V3, featuring a reimagined UI for building & managing
#DigitalTwin
apps. Also adds integration with AWS Dynamo DB for persistence and Kafka for messaging. Use for real-time monitoring and simulation of large systems.
👉
ScaleOut announces a preview of its cloud service for streaming analytics using a breakthrough new approach: the real-time digital twin model. The ScaleOut DigitalTwin Streaming Service™ is now available for a limited number of users. Learn more here:
Check out our latest blog () that describes how
#DigitalTwin
models can use
#ObjectOriented
programming techniques to easily build applications for stateful
#StreamProcessing
and run them on in-memory data grids.
The
#digitalTwin
model for stateful
#streamProcessing
makes the transition to
#EdgeComputing
seamless, saving development time and increasing flexibility. Read about this important advantage for digital twins in our new blog at .
Read about how our ScaleOut Digital Twin Builder(tm) software toolkit enables the creation of powerful, real-time, streaming analytics using object-oriented
#DigitalTwin
models with deep introspection, msec. latency, at scale. . From
@ScaleOut_Inc
ScaleOut announces the integration of
#RealTime
analytics & machine learning with into
#Azure
#DigitalTwins
using its in-memory computing platform. This unlocks new use cases, enhances situational awareness & simplifies development.
While original Redis was a single-server, data-structure store which now has clustering & other features added, ScaleOut StateServer was conceived as an integrated, mission-critical, distributed cache & IMDG. This makes it rock-solid & much easier to use.
Unlike Redis, ScaleOut's fully integrated client/server architecture for distributed caching automatically places both master and replica shards for transparent load-balancing with high availability, using automatic server discovery & recovery. Learn more:
ScaleOut's integrated client for distributed caching dramatically simplifies deployment and configuration vs. Redis, which uses third-party clients. It automatically tracks shards, maintains a strongly consistent client cache, and ensures hi av. More at
Streaming analytics can extract limited information from aggregated data streams & must defer most work to batch processing. Real-time
#digitaltwins
maintain dynamic state info about 1000s of data sources & enable real-time aggregate analytics. Learn more:
ScaleOut announces the release of a breakthrough cloud service for streaming analytics using real-time
#digitaltwins
. Simul. track 100K+ data sources with instant aggregate analytics. Uses: logistics, health monitoring, security, IoT, fraud, ecommerce ...
Real-time
#DigitalTwins
avoid the awkward SQL queries used in conventional streaming analytics pipelines and enable contextual analysis & fine-grained responses to individual data sources while performing aggregate analytics in real time. Learn more at .
Imagine an enterprise
#Redis
cluster with automatic management (load-balancing, replication, and recovery) of hashslots, fully (not eventually) consistent updates to data, and multi-threaded execution that eliminates costly shards. Preview the future now:
Cloud-based
#ServerlessFunctions
are great for simple apps but create design and performance issues for complex workflows. The answer is to move your code to the data. See our blog post comparing them to ScaleOut Digital Twins.
#CloudComputing
#CloudData
Our digital twin service can run
#simulations
with 1000s of
#digitaltwins
faster than real time to enable predictive analysis. See more in the
@dbtrends
article: "Enhancements to ScaleOut Software’s Digital Twin Streaming Service Yield Predictive Insights"
Senior engineer Aaron Burke describes ScaleOut Software’s in-memory computing and stateful stream-processing platform at the In-Memory Computing Summit Europe in London today.
@imcsummit
Check out our new video describing how digital twins can revolutionize accident prevention for railroads by monitoring live data and acting before derailments occur. Watch a simulation that illustrates how digital twins can predict problems and intervene.
Come hear Bill Bain's talk on real-time
#DigitalTwins
at the
@imcsummit
on Nov 13-14 at the Hyatt Regency SFO. Learn how in-memory computing enables real-time digital twins to perform streaming analytics for 1M data sources and boost situational awareness:
Excited to exhibit today at Microsoft Azure
#IoTinActionMS
conference in NYC. COO David Brinker explains how the ScaleOut Digital Twin Streaming Service simultaneously processes telemetry from 20k data sources to maximize situational awareness. Learn more:
Spring developers can now use ScaleOut StateServer® to serve HTTP sessions for
@springcentral
applications. Available on GitHub (), the open source API transparently stores sessions in
@ScaleOut_Inc
's highly available, battle tested in-memory data grid.
@ScaleOut_Inc
's new software toolkit, ScaleOut Digital Twin Builder(tm), lets developers build object-oriented
#digitaltwin
models in Java or C# for real-time streaming analytics on ScaleOut StreamServer(tm). Define, deploy, connect to data sources...then run. It's that easy!
Check out our new animated video! IT workers Jack and Jill need to create a Redis cluster. Just as the task becomes frustratingly complex, see how wise yet mysterious colleague François steps in to show them a better way with ScaleOut In-Memory Database.
Real-time
#digitaltwin
models will transform
#streamProcessing
. Why?They change analytics code from "event-centric" to "state-centric" by tracking the dynamic state of data sources -- enabling deeper introspection & better feedback/alerting. Learn more:
Check out our new eBook "Redis Clustering for the Enterprise with ScaleOut In-Memory Database" which explains how our new product automates
#Redis
clustering to simplify management, lower TCO, provide strong consistency, and deliver multi-core processing.
Jane Lansing
@EMR_Automation
described ideal use cases for the
#digitaltwin
model in streaming analytics, for ex, safety monitoring of workers based on their training, auth, and location on a dynamic work site. Digital twins make it easy to customize for each worker.
Jane Lansing VP, Marketing – Emerson Automation Solutions presented to an audience of about 3000 IT professionals today at Microsoft’s
#IoTinActionMS
highlighting Emerson solution and digital transformation efforts.
#IIoT