The provision of IT infrastructure and platform services to create an adaptable, scalable, and on-demand IT environment is referred to as cloud computing. It may only refer to IT infrastructure, such as a remotely hosted server (or bare metal), at the simplest level of abstraction; however, at the highest level of abstraction, it can also refer to a remotely hosted Application development and management market and all of the computing components required to provide that software.
GlobalData has identified the most important technology trends that will have an effect on cloud computing environments.
Optimization of hybrid IT management strategies Businesses have adopted infrastructure and operating models that are increasingly virtualized. Using third-party cloud and hosting services to support some application workloads while maintaining control of other aspects, either on their own premises or in a co-location facility, is becoming easier for businesses as a result of this evolution. The need for technology and best practices to ensure that organizations design, deploy, and optimize the management of these hybrid environments is being driven by this combined approach.
The DevOps model New developments in cloud technology help digital transformation projects save money, work more efficiently, create agile applications, and make deployment easier. They use serverless architectures and modern microservices, which simplify infrastructure configuration. Cloud management technologies that adhere to important open source software applications make those largely possible. The DevOps model will be strengthened further by infrastructure integration, such as security, as OpenStack players enter the market, facilitating autonomy and automation.
Infrastructure providers are moving up the cloud stack away from private or hybrid models and toward technologies that use application lifecycle management (ALM) capabilities to support a DevOps model that orchestrates the entire application and platform ecosystem of technology throughout the lifecycle. ALM solutions, also known as application and platforms lifecycle management (APLM), rely heavily on security and application performance monitoring (APM) technologies.
Microservices New tools and frameworks have sparked interest among infrastructure and cloud service providers to incorporate service mesh technologies into their management solutions after significant delays in the adoption of a microservices architecture due to configuration difficulties. A serverless computing architecture that supports platforms and pricing that scale with application demand and scale down to zero when not in use, leaving server management to the cloud provider, will be in high demand following this.
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Because of its community culture, shared technology, agility, and interoperability, open source software (OSS) is extremely relevant to cloud computing. Its momentum has made it possible for the cloud to develop advanced technology in a way that no vendor or service provider could have done on their own. OpenStack, which became the de facto standard for private cloud deployments in 2010 and Cloud Foundry, which became the de facto standard for public cloud deployments in 2013, was the focus of important initiatives. Kubernetes' widespread acceptance in the industry has largely contributed to the success of containerization and orchestration since then.
Kubernetes played a significant role in the trend toward containerization-based orchestration and management of modernized application deployment. Traditional data center vendors have begun forming partnerships with cloud providers to assist in abstracting complex configuration requirements, which has led to an increase in the movement to simplify operational management and automation over the past year. Through automatic software updates and ALM in a variety of cloud environments, the goal is to make it easier for businesses to put modern apps into production and keep up with large-scale digital transformations.
To support applications that require high levels of performance and low latency, as well as to manage and process data associated with IoT initiatives, enterprises are deploying data center resources like compute, storage, and data management and analytics software at the edge of their operational footprints. Edge computing will complement the utilization of cloud-based IT and conventional data centers. To gain access to edge IT resources, businesses will frequently rely on cloud consumption models.
The rapid development of multi-cloud environments, in which an organization supports a single application or applications by utilizing the on-demand infrastructures of multiple providers, is hindered by a number of issues. As a way to avoid cloud lock-in and ensure redundancy, businesses were drawn to this model. Organizations may also be required to use multiple cloud providers if regulations mandate that data be stored in particular countries or regions. Managing these diverse environments as though they were all built on the same architecture presents a challenge. To simplify the management of workloads across multiple cloud service provider platforms, some vendors and service providers offer solutions.
Despite the fact that compliance is not synonymous with security, it can serve as a framework for developing best practices. Organizations are being forced to rethink their controls and the technologies they use to protect crucial information, such as encryption, as a result of new privacy regulations. However, effective cloud security and consistent compliance between audits remain challenges for businesses.
