Amazon Elastic Block Store (EBS) is an AWS-provided block storage service designed for use in conjunction with Amazon EC2 instances. EBS provides low-latency persistent block storage volumes that can be connected to an EC2 instance.

copebit frequently uses AWS EBS in the following use cases:

• Data persistence: You can use EBS to store persistent data that must be preserved even if the EC2 instance terminates or fails.
• Database storage: EBS volumes can be used to store database files for relational databases such as MySQL, PostgreSQL, and Oracle.
• Application hosting: You can use EBS to store application files and assets, including configuration files, logs, and other data required by your applications.
• High performance computing (HPC): EBS provides high-speed, low-latency storage that is well suited for HPC workloads.
• Disaster recovery: EBS volumes can be used to back up your data to ensure that you can recover quickly in the event of a disaster.
• Data warehousing: You can use EBS to store large amounts of data for data warehousing applications.
• Overall, EBS is a versatile and reliable storage solution that can be used for a wide range of use cases to provide low-latency persistent block storage volumes for EC2 instances.

AWS EFS (Elastic File System) is a fully managed, scalable, and highly available cloud-based file storage service provided by Amazon Web Services. It allows multiple EC2 instances to securely access a shared file system, enabling a wide range of use cases, including content repositories, data analytics, web servers, and home directories, among others. EFS is based on the NFSv4.1 protocol and is designed to provide high throughput and low-latency performance with automatic scaling to accommodate changing workloads. It is accessible through multiple availability zones, and the distributed file system principle enables it to provide high availability and longevity. EFS can be easily created and managed through the AWS Management Console or command line interface, and users are charged only for the storage they consume.

copebit frequently uses AWS EFS Storage in the following use cases:

• Shared file storage: EFS can be used to share files across multiple EC2 instances, allowing multiple applications to access and modify the same files simultaneously. This makes it ideal for applications that require a shared file system, such as content management systems, web servers, and databases.
• Big data analytics: EFS provides a high-performance and scalable file system for big data analytics workloads such as Hadoop or Spark. It can handle large data sets and scale up or down as needed, making it ideal for processing and storing massive amounts of data.
• Media processing and storage: EFS can be used to store and process media files such as videos, images, and audio. It provides fast and reliable access to these files and can easily scale to handle high traffic and demand.
• Containerized storage: EFS can be used as a storage backend for containerized applications, such as those running on Docker or Kubernetes. It enables data sharing across containers and can easily scale to meet the needs of a growing container-based environment.

Overall, AWS EFS is a highly flexible and scalable file storage service that can be used for a variety of use cases. It offers high levels of performance, reliability, and security, making it an ideal solution for many different types of applications.

AWS FSx for Lustre is a fully managed, high-performance file system designed for compute-intensive workloads that require fast access to large data sets. It is based on Lustre, an open source parallel file system used in many of the world’s largest high performance computing (HPC) clusters, and provides a distributed file system with latencies of less than one millisecond and throughputs of up to hundreds of gigabytes per second. FSx for Lustre is fully managed, which means AWS takes care of all infrastructure, maintenance and upgrades. This makes it easy to set up and use, without requiring any special knowledge of Lustre. In addition, FSx for Lustre provides data encryption at rest and in transit, making it a secure solution for sensitive workloads.

copebit uses Lustre for these specific use cases:

• High performance computing (HPC): FSx for Lustre can be used for HPC workloads such as weather forecasting, computational fluid dynamics, and seismic analysis. This allows you to store and process large data sets in parallel across many compute instances for faster results.
• Machine learning and artificial intelligence (AI): FSx for Lustre can be used for machine learning and AI workloads that require fast processing of large data sets. These include image and speech recognition, natural language processing, and deep learning.
• Media Processing: FSx for Lustre can be used for media processing workloads such as video transcoding, rendering and streaming. It provides high-speed access to large media files, reducing processing time and cost.

copebit relies on AWS S3 Glacier as a cloud-based storage service that provides long-term backup and archiving solutions for data that is rarely accessed. It is designed to provide a cost-effective storage solution for data that needs to be retained for years but is rarely accessed, such as legal documents, medical records, financial records, and media archives.

S3 Glacier offers three different retrieval options for data: Expedited, Standard, and Bulk. The expedited retrieval option allows you to retrieve data in 1-5 minutes, the standard retrieval option takes 3-5 hours, while the bulk retrieval option takes 5-12 hours. S3 Glacier also provides lifecycle policies that allow you to automatically move data from S3 to S3 Glacier based on the age of the data. You can also use S3 Glacier for compliance purposes as it supports a number of compliance standards such as HIPAA, FINRA, and SEC.

copebit uses AWS FSx as its Windows File Server which is a fully managed file storage service[1] [2]  that provides native Windows file shares supported by Amazon S3. It allows users to access file shares via the SMB protocol and can integrate with on-premises Microsoft Active Directory (AD) to simplify user authentication and group policy management. FSx for Windows File Server supports features such as data deduplication, file compression and user quotas. It is designed for enterprise workloads such as Microsoft SQL Server, SAP and Microsoft SharePoint, as well as file storage and collaboration scenarios. The service is highly available and is automatically replicated across multiple availability zones within a region to ensure high durability and availability.

copebit uses AWS FSx for Windows File Server for a variety of use cases:

• Microsoft SQL Server: Microsoft SQL Server requires a shared file system to store data and log files. FSx for Windows File Server can provide high-performance file storage for SQL Server, making it ideal for enterprise database workloads.
• Home directories and user profiles: FSx for Windows File Server can be used to create centralized user profiles and home directories for an organization. This can simplify user management and provide a consistent user experience across multiple Windows instances.
• Media and entertainment: FSx for Windows File Server can be used as high-performance shared storage for media and entertainment workloads such as video editing, animation, and rendering.
• Electronic design automation (EDA): EDA applications require high-performance shared storage to enable collaboration between designers. FSx for Windows File Server provides the performance and scalability needed to support EDA workloads.
• SharePoint: SharePoint requires a shared file system to store data files and configuration data. FSx for Windows File Server provides high-performance file storage for SharePoint, making it ideal for enterprise content management workloads.