Pages

Friday, October 14, 2022

Cloud Computing - Emerging Trends

 

According to Wikepedia website? 

Cloud computing is still a subject of research.[135] A driving factor in the evolution of cloud computing has been chief technology officers seeking to minimize risk of internal outages and mitigate the complexity of housing network and computing hardware in-house.[136] They are also looking to share information to workers located in diverse areas in near and real-time, to enable teams to work seamlessly, no matter where they are located. Since the global pandemic of 2020, cloud technology jumped ahead in popularity due to the level of security of data and the flexibility of working options for all employees, notably remote workers. For example, Zoom grew over 160% in 2020 alone. 

From <https://en.wikipedia.org/wiki/Cloud_computing>

 According to techtarget website? 

Future of cloud computing and emerging technologies

Over 30% of enterprise IT decision-makers identified public cloud as their top priority in 2019, according to the "RightScale 2019 State of the Cloud Report." Still, enterprise adoption of the public cloud, especially for mission-critical applications, hasn't been happening as quickly as many experts predicted.

Today, however, organizations are more likely to migrate mission-critical workloads to public clouds. One of the reasons for this shift is that business executives who want to ensure that their companies can compete in the new world of digital transformation are demanding the public cloud.

Business leaders are also looking to the public cloud to take advantage of its elasticity, modernize internal computer systems, and empower critical business units and their DevOps teams.

Additionally, cloud providers, such as IBM and VMware, are concentrating on meeting the needs of enterprise IT, in part by removing the barriers to public cloud adoption that caused IT decision-makers to shy away from fully embracing the public cloud previously.

Generally, when contemplating cloud adoption, many enterprises have been mainly focused on new cloud-native applications -- that is, designing and building applications specifically intended to use cloud services. They haven't been willing to move their most mission-critical apps into the public cloud. However, these enterprises are now beginning to realize that the cloud is ready for the enterprise if they select the right cloud platforms, i.e., those that have a history of serving the needs of the enterprise.

Cloud providers are locked in ongoing competition for cloud market share, so the public cloud continues to evolve, expand and diversify its range of services. This has led public IaaS providers to offer far more than common compute and storage instances.

For example, serverless, or event-driven, computing is a cloud service that executes specific functions, such as image processing and database updates. Traditional cloud deployments require users to establish a compute instance and load code into that instance. Then, the user decides how long to run -- and pay for -- that instance.

With serverless computing, developers simply create code, and the cloud provider loads and executes that code in response to real-world events so users don't have to worry about the server or instance aspect of the cloud deployment. Users only pay for the number of transactions that the function executes. AWS Lambda, Google Cloud Functions and Azure Functions are examples of serverless computing services.

Public cloud computing also lends itself well to big data processing, which demands enormous compute resources for relatively short durations. Cloud providers have responded with big data services, including Google BigQuery for large-scale data warehousing and Microsoft Azure Data Lake Analytics for processing huge data sets.

Another crop of emerging cloud technologies and services relates to AI and machine learning. These technologies provide a range of cloud-based, ready-to-use AI and machine learning services for client needs. Amazon Machine Learning, Amazon Lex, Amazon Polly, Google Cloud Machine Learning Engine and Google Cloud Speech API are examples of these services.

From <https://www.techtarget.com/searchcloudcomputing/definition/cloud-computing>


These many are the definitions and descriptions of Cloud Computing at your perusal from reputed websites. Choose any one/two or many definitions in your seminar topic article.

If you find any other related links, please add them in comment section. That will help other students to find the material easily.

…till next post, bye-bye & take-care.

No comments: