As global ecosystems of applications, platforms, and systems evolve and connect through complex cloud-to-cloud integrations, an established and industry-recognized application securitization standard becomes evermore paramount to guarding consumer data and privacy.
Over the past decade there have been significant investments and improvements in securing cloud infrastructure, but significant challenges remain in the application layer. Particularly at risk are non-hardened applications exchanging data with secure cloud infrastructure through trusted data sharing integrations. Thus introducing; the Cloud Application Security Assessment (CASA).
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CASA has built upon the industry-recognized standards of the OWASP's Application Security Verification Standard (ASVS) to provide a consistent set of requirements to harden security for any application. Further, CASA provides a uniform way to perform trusted assurance assessments of these requirements when such assessments are required for applications with potential access to sensitive data.
We have a collective responsibility across the industry to provide users the transparency and control they expect when it comes to data security and privacy for the apps they use. Assessing the security of cloud applications and supporting infrastructure will greatly reduce common vulnerabilities, while increasing consumer confidence in the final products and services.
The primary mission of CASA is to increase the extensibility and inclusiveness of cloud-to-cloud integrations, and thus simultaneously increasing the security of consumer data. With this aspiration, the CASA assessment framework was built on the principles of:
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Cloud Application Manager, the powerful, best-of-breed hybrid cloud platform behind Managed Services Anywhere, orchestrates and automates the delivery of infrastructure, applications and services across physical servers, AWS, Google Cloud Platform, Lumen Cloud, Lumen Private Cloud on VMware Cloud Foundation, Microsoft Azure, and AWS Cloud instances, and other public cloud services.
Enable rapid innovation and reduce errors with standardized configuration and Application Lifecycle Management. Applications are modeled and shared for multi-deployment scenarios with auto-reconfiguration, upgrades and canary deployments. Automation capabilities are continuously evolving to mirror the new cloud execution venues for enterprise applications.
Cloud Application Manager orchestrates delivery of infrastructure, applications, and services across multiple clouds while providing support for consolidated billing, log and health monitoring, and security best practices. A Technical Account Manager is also available for technical governance and operational support.
Deploy in public, private, and hybrid cloud environments across AWS, Google Cloud Platform, Microsoft Azure, Lumen Private Cloud on VMware Cloud Foundation, and others. Use cloud-specific services and have a consistent managed service experience across any infrastructure or application stack.
It is recommended that you use release train BOM spring-cloud-dependencies This is a BOM-only version and it just contains dependency management and no plugin declarations or direct references to Spring or Spring Boot. You can Spring Boot parent POM, or use the BOM from Spring Boot (spring-boot-dependencies) to manage Spring Boot versions.
Just like Spring Boot, many Spring Cloud projects include starters that you can add as dependencies to add various cloud native features to your project. In many cases, many features are enabled purely by adding the starter to your classpath. The starter names are documented within the individual projects. Below is an example of how you would add a Spring Cloud Config Client and a Spring Cloud Netflix Eureka client to your application.
A cloud-native orchestration service for composable microservice applications on modern runtimes. Easy-to-use DSL, drag-and-drop GUI, and REST-APIs together simplifies the overall orchestration of microservice based data pipelines.
A lightweight event-driven microservices framework to quickly build applications that can connect to external systems. Simple declarative model to send and receive messages using Apache Kafka or RabbitMQ between Spring Boot apps.
Spring Cloud Stream Applications are out of the box Spring Boot applications providing integration with external middleware systems such as Apache Kafka, RabbitMQ etc. using the binder abstraction in Spring Cloud Stream.
A short-lived microservices framework to quickly build applications that perform finite amounts of data processing. Simple declarative for adding both functional and non-functional features to Spring Boot apps.
Cloud computing[1] is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user.[2] Large clouds often have functions distributed over multiple locations, each of which is a data center. Cloud computing relies on sharing of resources to achieve coherence and typically uses a pay-as-you-go model, which can help in reducing capital expenses but may also lead to unexpected operating expenses for users.[3]
Cloud computing has a rich history that extends back to the 1960s, with the initial concepts of time-sharing becoming popularized via remote job entry (RJE). The "data center" model, where users submitted jobs to operators to run on mainframes, was predominantly used during this era. This was a time of exploration and experimentation with ways to make large-scale computing power available to more users through time-sharing, optimizing the infrastructure, platform, and applications, and increasing efficiency for end users.[5]
The use of the "cloud" metaphor to denote virtualized services traces back to 1994, when it was used by General Magic to describe the universe of "places" that mobile agents in the Telescript environment could go. This metaphor is credited to David Hoffman, a General Magic communications employee, based on its long-standing use in networking and telecom.[6] The expression cloud computing became more widely known in 1996 when the Compaq Computer Corporation drew up a business plan for future computing and the Internet. The company's ambition was to supercharge sales with "cloud computing-enabled applications". The business plan foresaw that online consumer file storage would most likely be commercially successful. As a result, Compaq decided to sell server hardware to internet service providers.[7]
In the 2000s, the application of cloud computing began to take shape with the establishment of Amazon Web Services (AWS) in 2002, which allowed developers to build applications independently. In 2006 the beta version of Google Docs was released, Amazon Simple Storage Service, known as Amazon S3, and the Amazon Elastic Compute Cloud (EC2), in 2008 NASA's development of the first open-source software for deploying private and hybrid clouds.[8][9]
The following decade saw the launch of various cloud services. In 2010, Microsoft launched Microsoft Azure, and Rackspace Hosting and NASA initiated an open-source cloud-software project, OpenStack. IBM introduced the IBM SmartCloud framework in 2011, and Oracle announced the Oracle Cloud in 2012. In December 2019, Amazon launched AWS Outposts, a service that extends AWS infrastructure, services, APIs, and tools to customer data centers, co-location spaces, or on-premises facilities.[10][11]
Since the global pandemic of 2020, cloud technology has surged in popularity due to the level of data security it offers and the flexibility of working options it provides for all employees, notably remote workers.[12]
Advocates of public and hybrid clouds claim that cloud computing allows companies to avoid or minimize up-front IT infrastructure costs. Proponents also claim that cloud computing allows enterprises to get their applications up and running faster, with improved manageability and less maintenance, and that it enables IT teams to more rapidly adjust resources to meet fluctuating and unpredictable demand,[13][14][15] providing burst computing capability: high computing power at certain periods of peak demand.[16]
One of the main challenges of cloud computing, in comparison to more traditional on-premises computing, is data security and privacy. Cloud users entrust their sensitive data to third-party providers, who may not have adequate measures to protect it from unauthorized access, breaches, or leaks. Cloud users also face compliance risks if they have to adhere to certain regulations or standards regarding data protection, such as GDPR or HIPAA.[34]
Another challenge of cloud computing is reduced visibility and control. Cloud users may not have full insight into how their cloud resources are managed, configured, or optimized by their providers. They may also have limited ability to customize or modify their cloud services according to their specific needs or preferences.[34] Complete understanding of all technology may be impossible, especially given the scale, complexity, and deliberate opacity of contemporary systems; however, there is a need for understanding complex technologies and their interconnections to have power and agency within them.[35] The metaphor of the cloud can be seen as problematic as cloud computing retains the aura of something noumenal and numinous; it is something experienced without precisely understanding what it is or how it works.[36]
In addition, cloud migration is a significant issue. Cloud migration is the process of moving data, applications, or workloads from one cloud environment to another or from on-premises to the cloud. Cloud migration can be complex, time-consuming, and costly, especially if there are incompatibility issues between different cloud platforms or architectures. Cloud migration can also cause downtime, performance degradation, or data loss if not planned and executed properly.[37] ff782bc1db
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