The Sentinel-6 was developed by European Space Agency (ESA) in the context of the European Copernicus Programme led by the European Commission, the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), NASA, and the National Oceanic and Atmospheric Administration (NOAA), with funding support from the European Commission and technical support from France's National Centre for Space Studies ( CNES, Centre national d'études spatiales). The two satellites, Sentinel-6 Michael Freilich and Sentinel-6B, will extend this legacy through to at least 2030, which will provide a nearly forty-year record of sea level rise as well as changes in ocean currents. Since the launch of TOPEX/Poseidon on 10 August 1992, high-precision satellite altimeters have been essential to monitor how the ocean stores and redistributes heat, water, and carbon in the climate system. It follows the most recent U.S.-European sea level observation satellite, Jason-3, which launched in 2016, and is currently providing high-precision and timely observations of the topography of the global ocean. įormerly called Sentinel-6A and Jason-CS A ( Jason Continuity of Service-A), it was renamed in honor of the former director of NASA Earth Science Division, Michael Freilich, who was instrumental in advancing space-based ocean measurements. These satellites will measure sea level change from space, which have been measured without interruption since 1992. The Sentinel-6 program includes two identical satellites, to be launched five years apart, Sentinel-6 Michael Freilich, which launched on 21 November 2020, and Sentinel-6B, which will launch in 2025. Bugs and Feedbackįor bug report, questions and discussions please submit GitHub Issues.Ĭontributions are always welcomed! Please see CONTRIBUTING for detailed guidelines.Inside SpaceX's Payload Processing Facility at Vandenberg Air Force Base in California, the U.S.-European Sentinel-6 Michael Freilich ocean-monitoring satellite is being encapsulated in the SpaceX Falcon 9 payload fairing on 3 November 2020. All the information can be found in logs.
Sentinel will generate logs for troubleshooting. Sentinel also provides a simple dashboard application, on which you can monitor the clients and configure the rules in real time.įor details please refer to Dashboard. Samples can be found in the sentinel-demo module. The working principles of Sentinel can be found in How it works section.
#Sentinel source how to#
More examples and information can be found in the How To Use section. This shows that the demo can print "hello world" 20 times per second. P stands for incoming request, block for intercepted by rules, success for success handled, e for exception, rt for average response time (ms)
#Sentinel source code#
If your application is build in maven, just add the following code in pom.xml.
It also shows how to monitor this demo using the dashboard. If you are using Sentinel, please leave a comment here to tell us your use scenario to make Sentinel better :-) Quick Startīelow is a simple demo that guides new users to use Sentinel in just 3 steps.
#Sentinel source full#
See the Wiki for full documentation, examples, operational details and other information. Sentinel provides easy-to-use extension points that allow you to quickly customize your logic, for example, custom rule management, adapting data sources, and so on. You can see the runtime information of a single machine in real-time, and the summary runtime info of a cluster with less than 500 nodes. Sentinel also provides real-time monitoring function. Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double-11 Shopping Festivals in the past 10 years, such as “Second Kill” which needs to limit burst flow traffic to meet the system capacity, message peak clipping and valley fills, degrading unreliable downstream applications, etc. Sentinel takes "flow" as breakthrough point, and works on multiple fields including flow control, concurrency, circuit breaking and load protection, to protect service stability. As distributed systems become increasingly popular, the stability between services is becoming more important than ever before.
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