CloudFerro is excited to announce the launch of the WAW4-1 cloud, a new addition to our services within the WAW4 region, deployed in October 2024. The WAW4-1 cloud represents a significant advancement in our commitment to providing state-of-the-art cloud solutions.
WAW4-1 Cloud Specifications
- Launch Date: October 2024
- Location: Orange Łazy Data Center, WAW4 Region
- Capacity: Doubling our previous capacity
- OpenStack Version: Caracal
- CEPH Version: Quincy
Available Virtual Machines
The WAW4-1 cloud offers a variety of VM flavors tailored to different requirements:
- eo1
- eo2a
- hmda
- hma
These VMs are optimized for applications ranging from Earth observation data parallel processing to high-performance computing tasks.
Access and Management
- Cloud Management Panel: Manage your resources seamlessly via horizon.cloudferro.com.
- S3 Storage Endpoint: Access scalable object storage at s3.waw4-1.cloudferro.com.
- EODATA Endpoint: The endpoint eodata.cloudferro.com is accessible both from VMs and over the internet, ensuring uninterrupted access to essential datasets.
Benefits of the WAW4-1 Cloud
- Advanced Technologies: Leveraging OpenStack Caracal and CEPH Quincy for improved cloud orchestration and storage solutions.
- Enhanced Performance: Greater processing power and reduced latency for efficient operations.
- Scalability: Flexibility to scale resources according to workload demands.
- Reliability: High availability ensured by the robust infrastructure of the Orange Łazy Data Center.
About the Orange Łazy Data Center
Hosting the WAW4-1 cloud, the Orange Łazy Data Center offers:
- High Security Standards: Advanced measures to protect your data.
- Robust Infrastructure: State-of-the-art facilities for reliable service delivery.
- Sustainable Operations: Energy-efficient practices aligning with environmental sustainability.
- Strategic Location: Proximity to major network hubs for optimal connectivity.
Looking Forward
During the first month of operation, WAW4-1 will undergo stress testing, with the possibility of brief interruptions in API availability as we fine-tune resources. In the coming months, we will add more VM families and GPU offerings to this cloud, making it the best in our public portfolio.
CloudFerro is excited to unveil the launch of its new public cloud region, WAW4. This strategic expansion aims to bolster our cloud infrastructure, providing users with increased capacity, improved performance, and enhanced reliability.
Strategic Location at Orange Łazy Data Center
The WAW4 region will be hosted at the Orange Łazy Data Center, a premier facility near Warsaw, Poland. This cutting-edge data center is renowned for its:
- Advanced Security Measures: Robust protocols to safeguard data integrity and privacy.
- Best-in-Class Physical Security: Orange Łazy Data Center offers the highest level of physical security in Poland.
- Reliable Connectivity: High-speed network infrastructure for consistent performance.
- Scalability: Designed to accommodate future growth and technological advancements.
- Energy Efficiency: Environmentally friendly operations aligning with sustainable practices.
Benefits of using the WAW4 Region
The introduction of the WAW4 region brings several advantages:
- Enhanced Capacity: it is CloudFerro’s third large public cloud region in Warsaw (fully independent from WAW3 and WAW2) that customers can leverage to build robust infrastructures.
- Increased Reliability: Improved redundancy and failover mechanisms ensure uninterrupted services, completely independent from other regions.
- Greater Flexibility: Access to advanced cloud resources supporting diverse applications.
- Proximity Advantage: Improved data access speeds for users in and around Poland.
We invite you to submit abstracts for oral or poster presentations for the following sessions organized by CloudFerro/CDSE (Copernicus Data Space Ecosystem) Service Team. All proposed sessions can be found here: proposed sessions. All submitted abstracts will be reviewed by the Scientific Committee, with final decisions made by the session convenors.
Submit your abstracts by 1 December 2024.
Proposed sessions - CloudFerro
D. Digital Innovation and Green Solutions
Subtheme: 05 Copernicus Operations Framework and Long-term Perspectives
Title: D.05.03 Leveraging the Copernicus Data Space Ecosystem to develop and upscale novel Earth Observation applications
Description: The Copernicus Data Space Ecosystem (CDSE) has revolutionized access to the Copernicus and complementary data and has fostered the Earth Observation (EO) analytical capabilities build on top of this abundant resource. Near-real time publication of the Sentinel satellite imagery helps in time-critical applications while the instantaneous online availability of the entire EODATA archive fosters the long-term environmental monitoring including climate change. The Ecosystem has gathered already more than 200 000 users and the main objective of this Session is to give them an opportunity to present their studies, developed applications and to share best practices among each other. During the Session the emphasis will be put on novelty of the presented work especially on the applications/functionalities which would not be possible to implement without the CDSE. Ultimately, it is foreseen to cast a vote among the CDSE users for the best study/application leveraging the CDSE and the top 3 winners will be awarded by the Consortium with additional resources available through the CREODIAS platform.
Convenors:
D. Digital Innovation and Green Solutions
Subtheme: 02 Artificial Intelligence, Data fusion and Big Data Analytics for EO
Title: D.02.14 EO Data Platforms for AI Application Development
Description: Earth Observation data platforms are changing how we use information for various applications. These platforms offer access to a vast amount of data, including satellite images, weather information, and ground measurements. By combining these different data sources, organizations can create advanced artificial intelligence (AI) models. To make the most of EO data platforms for AI modeling, it’s important to have a well-organized framework. This framework should include several key components: the types of data available, the tools needed for processing and analysis, and the methods for training AI models effectively. The amount of data required can vary depending on the complexity of the task. More complex models, like deep learning systems, usually need larger datasets to recognize intricate patterns. Choosing the right tools is also crucial. These tools help clean and transform raw data into a usable format, while machine learning frameworks assist in developing the models. This session aims to provide a clear understanding of how improved EO data platforms enable organizations to use AI for innovative solutions across various fields.
Convenors:
D. Digital Innovation and Green Solutions
Subtheme: 04 Enabling Solutions through Cloud-based EO Ecosystems
Title: D.04.06 Advancements in cloud-native formats and APIs for efficient management and processing of Earth Observation data
Description: Earth Observation (EO) data continues to grow in volume and complexity as the next generation satellite instruments are being developed. Furthermore, novel advanced simulation models such as the Digital Twins (DTs) deployed in the scope of the Destination Earth (DestinE) project generate immense amount of multidimensional data (few PB/day in total) thanks to the High Performance Computing (HPC) technology. Cataloguing, processing and disseminating such broad variety of data sets is a huge challenge that has to be tackled in order to unleash the full potential of EO. Storage and analytics of vast volumes of data have been moved from the on-premise IT infrastructure to large cloud computing environments such as Copernicus Data Space Ecosystem (CDSE), DestinE Core Service Platform (DESP), Google Earth Engine or Microsoft Planetary Computer. In this respect, robust multidimensional data access interfaces leveraging the latest cloud-native data formats (e.g. COG, ZARR, Geoparquet, vector tiles) and compression algorithms (e.g. ZSTD) are indispensable to enable advanced cloud-native APIs (e.g. openEO, Sentinel Hub) and data streaming (e.g. EarthStreamer). Moreover, metadata models have to be standardized and unified (e.g. STAC catalogue specification) among different data archives to allow interoperability and fast federation of various data sources. This session aims at presenting the latest advancement in data formats, data compression algorithms, data cataloguing and novel APIs to foster EO analytics in cloud computing environments.
Convenors:
If you want satellite-based information, but not at the frequency of satellite observations, imagery mosaics are an ideal data source for you. These data collections are created by integration of data from several satellite observations, providing seamless coverage across wide areas, without the noise affecting individual images.
Sentinel-2 mosaics are created every three months based on the cloud-free pixels of all images in the observation period, using the first quartile value to avoid the effect of eventually remaining cloud pixels. Sentinel-1 mosaics are built monthly, using a weighted average of each pixel value, where the weighting is based on the local resolution. This way, the artefacts created by slopes facing towards or away from the sensor are avoided.
The results are spectacular for both collections: swath edges are barely visible, the pixel values truly correspond to the properties of the surface, so image interpretation is a lot easier. This is particularly useful for Sentinel-1 data. In addition to visual evaluation, these mosaics also serve as benchmarks for evaluating change, e.g. in a disaster setting where a clear map of the original situation has to be obtained quickly. Also, these datasets are suitable without further processing as input data for machine learning based products, directly from the API request.
We trust that by further standardizing the pre-processing of earth observation data, we have created products that are particularly useful for operational analysis.
By András Zlinszky, Community Evangelist at Sinergise Solutions
