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Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]
AWS launches AWS Lambda, its Functions as a Service (FaaS) tool. With Lambda, AWS customers can define and upload functions with specific triggers and execution code. AWS takes care of executing the function on the trigger occurring, and the AWS customer does not have to provision or manage the compute resources.
AWS Lambda layer is a ZIP archive containing libraries, frameworks or custom code that can be added to AWS Lambda functions. [9] As of December 2024, AWS Lambda layers have significant limitations: [10] [11] No semantic versioning support. Incompatibility with major security scanning tools. Contribution to Lambda's 250MB size limit. Impeded ...
It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. [2]
Azure Data Explorer is a distributed database running on a cluster of compute nodes in Microsoft Azure. It is based on relational database management systems (RDBMS) , supporting entities such as databases, tables , functions, and columns.
The base data and the dimension tables are stored as relational tables and new tables are created to hold the aggregated information. It depends on a specialized schema design. This methodology relies on manipulating the data stored in the relational database to give the appearance of traditional OLAP's slicing and dicing functionality.
Amazon does not charge for the bandwidth for communications between EC2 instances and S3 storage "in the same region." Accessing S3 data stored in a different region (for example, data stored in Europe from a US East Coast EC2 instance) will be billed at Amazon's normal rates. S3-based storage is priced per gigabyte per month.