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Connection Pool
In software engineering, a connection pool is a cache of reusable database connections managed by the client or middleware. It reduces the overhead of opening and closing connections, improving performance and scalability in database applications. SQL databases typically use stateful, binary protocols that maintain session-specific information, such as transaction states and prepared statements, necessitating optimized connection pooling to minimize the overhead of repeatedly establishing connections. Conversely, many mainstream NoSQL databases, like Azure Cosmos DB and Amazon DynamoDB, utilize stateless, HTTP-based protocols that handle each request independently. This architecture often reduces the need for traditional connection pooling, though reusing established connections can still offer performance benefits in high-throughput scenarios by avoiding the overhead of connection creation. Connection pooling efficiency Following factors can affect connection pooling efficiency ...
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Software Engineering
Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining Application software, software applications. It involves applying engineering design process, engineering principles and computer programming expertise to develop software systems that meet user needs. The terms ''programmer'' and ''coder'' overlap ''software engineer'', but they imply only the construction aspect of a typical software engineer workload. A software engineer applies a software development process, which involves defining, Implementation, implementing, Software testing, testing, Project management, managing, and Software maintenance, maintaining software systems, as well as developing the software development process itself. History Beginning in the 1960s, software engineering was recognized as a separate field of engineering. The development of software engineering was seen as a struggle. Problems included software that was over ...
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Transport Layer Security
Transport Layer Security (TLS) is a cryptographic protocol designed to provide communications security over a computer network, such as the Internet. The protocol is widely used in applications such as email, instant messaging, and voice over IP, but its use in securing HTTPS remains the most publicly visible. The TLS protocol aims primarily to provide security, including privacy (confidentiality), integrity, and authenticity through the use of cryptography, such as the use of certificates, between two or more communicating computer applications. It runs in the presentation layer and is itself composed of two layers: the TLS record and the TLS handshake protocols. The closely related Datagram Transport Layer Security (DTLS) is a communications protocol that provides security to datagram-based applications. In technical writing, references to "(D)TLS" are often seen when it applies to both versions. TLS is a proposed Internet Engineering Task Force (IETF) standard, fir ...
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Function As A Service
Function as a service is a "platform-level cloud capability" that enables its users "to build and manage microservices applications with low initial investment for scalability," according to ISO/IEC 22123-2. Function as a Service is a subset of the serverless computing ecosystem. Anti-patterns The "Grain of Sand Anti-pattern" refers to the creation of excessively small components (e.g., functions) within a system, often resulting in increased complexity, operational overhead, and performance inefficiencies. "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. These anti-patterns are associated with the formation of a distributed monolith. These anti-patterns are often addressed through the application of clear domain boundaries, which distinguish between public and ...
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AWS Lambda
AWS Lambda is an event-driven, serverless Function as a Service (FaaS) provided by Amazon as a part of Amazon Web Services. It is designed to enable developers to run code without provisioning or managing servers. It executes code in response to events and automatically manages the computing resources required by that code. It was introduced on November 13, 2014. Specification Each AWS Lambda instance runs within a lightweight, isolated environment powered by Firecracker microVMs. These microVMs are initialized with a runtime environment based on Amazon Linux (Amazon Linux AMI or Amazon Linux 2), a custom Linux distribution developed by AWS. Firecracker provides hardware-virtualization-based isolation, aiming to achieve near-bare-metal performance with minimal overhead. AWS claims that, unlike traditional virtual machines, these microVMs launch in milliseconds, enabling rapid and secure function execution with a minimal memory footprint. The Amazon Linux AMI is specifically ...
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Containerization (computing)
In software engineering, containerization is operating-system-level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called ''containers'' in any cloud or non-cloud environment, regardless of type or vendor. The term "container" is overloaded, and it is important to ensure that the intended definition aligns with the audience's understanding. Usage Each ''container'' is basically a fully functional and portable cloud or non-cloud computing environment surrounding the application and keeping it independent of other environments running in parallel. Individually, each container simulates a different software application and runs isolated processes by bundling related configuration files, libraries and dependencies. But, collectively, multiple containers share a common operating system kernel (OS). In recent times, containerization technology has been widely adopted by cloud computing ...
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Amazon Elastic Compute Cloud
Amazon Elastic Compute Cloud (EC2) is a part of Amazon's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications. EC2 encourages scalable deployment of applications by providing a web service through which a user can boot an Amazon Machine Image (AMI) to configure a virtual machine, which Amazon calls an "instance", containing any software desired. A user can create, launch, and terminate server-instances as needed, paying by the second for active servershence the term "elastic". EC2 provides users with control over the geographical location of instances that allows for latency optimization and high levels of redundancy. In November 2010, Amazon switched its own retail website platform to EC2 and AWS. History Amazon announced a limited public beta test of EC2 on August 25, 2006, offering access on a first-come, first-served basis. Amazon added two new instance types (Large and Extra-La ...
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Amazon Aurora
Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014. Aurora is available as part of the Amazon Relational Database Service (RDS). History Aurora offered MySQL compatible service upon its release in 2014. It added PostgreSQL compatibility in October 2017. In August 2017, Aurora Fast Cloning (copy-on-write) feature was added allowing customers to create copies of their databases. In May 2018, Aurora Backtrack was added which allows developers to rewind database clusters without creating a new one. It became possible to stop and start Aurora Clusters in September 2018. In August 2018, Amazon began to offer a serverless version. In 2019 the developers of Aurora won the SIGMOD Systems Award for fundamentally redesigning relational database storage for cloud environments. Features Aurora automatically allocates database storage space in 10-gigabyte increments, as needed, up to a maximum of 128 terabytes. ...
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Amazon DynamoDB
Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It supports key-value and document data structures and is designed to handle a wide range of applications requiring scalability and performance. History Werner Vogels, CTO at Amazon.com, provided a motivation for the project in his 2012 announcement. Amazon began as a decentralized network of services. Originally, services had direct access to each other's databases. When this became a bottleneck on engineering operations, services moved away from this direct access pattern in favor of public-facing APIs. Still, third-party relational database management systems struggled to handle Amazon's client base. This culminated during the 2004 holiday season, when several technologies failed under high traffic. Traditional databases often split data into smaller pieces to save space, but combining those pieces during searches can make queries slower. Many of Amazon's services demanded mostly primar ...
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Statelessness
In international law, a stateless person is someone who is "not considered as a national by any state under the operation of its law". Some stateless people are also refugees. However, not all refugees are stateless, and many people who are stateless have never crossed an international border. At the end of 2022, the United Nations High Commissioner for Refugees published an estimation of 4.4 million people worldwide as either stateless or of undetermined nationality, 90,800 (+2%) more than at the end of 2021. However, the data itself is not complete because UNHCR does not have data from many countries, such as from at least 22 countries where mass statelessness exists. The data also does not include de facto stateless people who have no legal identification to prove their nationality or legal existence. According to the World Bank, at least 850 million fit that category. Given that the legal concept of nationality prevails in practice, completely undocumented people fit the ...
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NoSQL
NoSQL (originally meaning "Not only SQL" or "non-relational") refers to a type of database design that stores and retrieves data differently from the traditional table-based structure of relational databases. Unlike relational databases, which organize data into rows and columns like a spreadsheet, NoSQL databases use a single data structure—such as key–value pairs, wide columns, graphs, or documents—to hold information. Since this non-relational design does not require a fixed schema, it scales easily to manage large, often unstructured datasets. NoSQL systems are sometimes called ''"Not only SQL"'' because they can support SQL-like query languages or work alongside SQL databases in polyglot-persistent setups, where multiple database types are combined. Non-relational databases date back to the late 1960s, but the term "NoSQL" emerged in the early 2000s, spurred by the needs of Web 2.0 companies like social media platforms. NoSQL databases are popular in big data ...
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Java Database Connectivity
Java Database Connectivity (JDBC) is an application programming interface (API) for the Java programming language which defines how a client may access a database. It is a Java-based data access technology used for Java database connectivity. It is part of the Java Standard Edition platform, from Oracle Corporation. It provides methods to query and update data in a database, and is oriented toward relational databases. A JDBC-to-ODBC bridge enables connections to any ODBC-accessible data source in the Java virtual machine (JVM) host environment. History and implementation Sun Microsystems released JDBC as part of Java Development Kit (JDK) 1.1 on February 19, 1997. Since then it has been part of the Java Platform, Standard Edition (Java SE). The JDBC classes are contained in the Java package and . Starting with version 3.1, JDBC has been developed under the Java Community Process. JSR 54 specifies JDBC 3.0 (included in J2SE 1.4), JSR 114 specifies the JDBC Rowset additions, a ...
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Cosmos DB
Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. 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, which means it can handle unstructured, semi-structured, structured, and vector data types. Data model Internally, Cosmos DB stores "items" in "containers", with these two concepts being surfaced differently depending on the API used (these would be "documents" in "collections" when using the MongoDB-compatible API, for example). Containers are grouped in "databases", which are analogous to namespaces above containers. Containers are schema-agnostic, which means that no schema is enforced when adding items. By default, every field in each item is automatically indexed, generally providing good performance without tuning to specific query patte ...
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