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This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.
This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. ” it helps to understand the monolithic architectures that preceded them. Understanding monolithic architectures.
While not a new concept, the term “cloud” creates a lot of confusion because it means different things to different audiences. I’ve been speaking to customers over the last few months about our new cloudarchitecture for Synthetic testing locations and their confusion is clear. For us, cloud is not a cost savings play.
Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.
Architecture. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. Sending and receiving messages from other users. High Level Design. Streaming Data Model. References.
Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles. High costs of frequent data transmission to the cloud for backup. Introduce scalable microservices architectures to distribute computational loads efficiently.
When you’re running in the cloud your containers are in a shared space; in particular they share the CPU’s memory hierarchy of the host instance. Resource allocation problems can be efficiently solved through a branch of mathematics called combinatorial optimization, used for example for airline scheduling or logistics problems.
Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. Trends in software architecture, infrastructure, and operations.
Another example is for tracking inventory in a vast logistics system, where only a subset of its locations is relevant for a specific item. This requires a database that can quickly traverse the logistics history for a given item or order.
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.
Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.
We are faced with quickly building a nationwide logistics network and standing up well more than 50,000 vaccination centers. Conventional, enterprise data architectures take months to develop and are complex to change. Is there a simpler, faster way to wrangle this data for crisis managers? Summing Up.
This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. The post Developing Real-Time Digital Twins for Cloud Deployment appeared first on ScaleOut Software. Simplifying the Development Process with Mock Environments.
This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. Simplifying the Development Process with Mock Environments.
What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Field personnel with mobile devices can send these messages over the Internet to the cloud service.
What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Field personnel with mobile devices can send these messages over the Internet to the cloud service.
Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Hospitals distributed across the United States can send status updates to the cloud service regarding their shortfall of supplies such as ventilators and personal protective equipment.
Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Hospitals distributed across the United States can send status updates to the cloud service regarding their shortfall of supplies such as ventilators and personal protective equipment.
Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. This starts with integrated platforms that can manage all activities, from market research to production to logistics.
Serverless Architecture. It provides its worth in every trade with logistics, manufacturing, and food & beverages segments. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. Single Page Applications (SPAs). Progressive web applications (PWA).
Those adjusted schedules were often logistically flawed because the planes and crews matched at a specific place and time didn’t make sense in the real world. Southwest Airlines has made headlines in recent days for all the wrong reasons: bad weather impacted air travel, which required Southwest to adjust plane and crew schedules.
Consider these examples: A logistics company could leverage preventive observability to identify potential bottlenecks in supply chains and reroute shipments before delays occur. In healthcare , observability could predict system slowdowns during critical periods, ensuring seamless patient care.
The Pantheon in Rome — Extremely sustainable architecture — photo by Adrian I wrote a medium post after AWS re:Invent 2022 summarizing the (lack of) news and all the talks related to Sustainability. Google Cloud and Microsoft Azure released Scope 3 data in 2021.
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