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Amazon Route 53 is a highly available and scalable cloud Domain Name System (DNS) web service. It is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating names l
+ Traffic Flow
Easy-to-use and cost-effective global traffic management: route end users to the best endpoint for your application based on latency, health, and other considerations.

+ Latency Based Routing
Route end users to the AWS region that provides the lowest possible latency.

+Geo DNS
Route end users to a particular endpoint that you specify based on the end user’s geographic location.

+ Private DNS for Amazon VPC
Manage custom domain names for your internal AWS resources without exposing DNS data to the public Internet.

+ DNS Failover
Automatically route your website visitors to an alternate location to avoid site outages.

+ Health Checks and Monitoring
Amazon Route 53 can monitor the health and performance of your application as well as your web servers and other resources.

+ Domain Registration
Amazon Route 53 offers domain name registration services, where you can search for and register available domain names or transfer in existing domain names to be managed by Route 53.

+ CloudFront Zone Apex Support
When using Amazon CloudFront to deliver your website content, visitors to your website can now access your site at the zone apex (or "root domain"). For example, your site can be accessed as example.com instead of www.example.com.

+Management Console
Amazon Route 53 works with the AWS Management Console. This web-based, point-and-click, graphical user interface lets you manage Amazon Route 53 without writing any code at all.

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  • SUPPLIER
  • Amazon Web Services
    Amazon Web Services has developed the managed cloud platform AWS IoT to let connected devices easily and securely interact with cloud applications and other devices. AWS IoT can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
  • SNAPSHOT
  • Software as a Service
    Open website
    Open website
  • Application Industries
  • Equipment & Machinery
    Transportation
  • Application Functions
  • Logistics & Warehousing
    Maintenance
  • USE CASES
  • Predictive Maintenance
    Predictive maintenance is a technique that uses condition-monitoring sensors and machine learning or rules based algorithms to track the performance of equipment during normal operation and detect possible defects before they result in failure. Predictive maintenance enables the reduction of both schedule-based maintenance and unplanned reactive maintenance by triggering maintenance calls based on the actual status of the equipment. IoT relies on predictive maintenance sensors to capture information, make sense of it, and identify any areas that need attention. Some examples of using predictive maintenance and predictive maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.
    Process Control & Optimization
    Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of IoT systems that can reliably predict process deviations. Fundamentally, there are three parameters that can be adjusted to affect optimal performance. - Equipment optimization: The first step is to verify that the existing equipment is being used to its fullest advantage by examining operating data to identify equipment bottlenecks. - Operating procedures: Operating procedures may vary widely from person-to-person or from shift-to-shift. Automation of the plant can help significantly. But automation will be of no help if the operators take control and run the plant in manual. - Control optimization: In a typical processing plant, such as a chemical plant or oil refinery, there are hundreds or even thousands of control loops. Each control loop is responsible for controlling one part of the process, such as maintaining a temperature, level, or flow. If the control loop is not properly designed and tuned, the process runs below its optimum. The process will be more expensive to operate, and equipment will wear out prematurely. For each control loop to run optimally, identification of sensor, valve, and tuning problems is important. It has been well documented that over 35% of control loops typically have problems. The process of continuously monitoring and optimizing the entire plant is sometimes called performance supervision.
    Supply Chain Visibility
    Supply chain visibility solutions provide visibility into the movement of raw materials, components, and finished goods from suppliers to manufacturers to the final buyer. Solutions are typically built on a centralized cloud-based platform that integrates data from multiple systems, including those those of partners. Technologies such as smart sensors, RFID, and digital ledger protocols can enable additional functionality. For example, digital ledger technology can keep logs of all transactions occurring on the network in a secure way, while providing supply chain partners with access to specific data. Visibility solutions can enhance the efficiency and transparency of supply chains, record the quantity and transfer of products as they change hands between supply chain nodes, track change orders and buy orders, process shipment notifications, manage trade documents and receipts, link physical products to bar codes, and share information about processing or manufacturing processes with suppliers, logistics providers, and customers.
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