Authors :
Ashok L Pomnar; Dr. S.K. Sonkar
Volume/Issue :
Volume 7 - 2022, Issue 5 - May
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Hzncjf
DOI :
https://doi.org/10.5281/zenodo.6640228
Abstract :
A Today digital transformation era, traditional
web based systems and application architecture become
the bottleneck of scaling, high availability, portability,
and many more downtime and performance-related
challenges so the world is started adopting the cloud and
cloud-based services to get its benefits. Virtualization
technology played a very crucial role to migrate
applications from traditional physical systems to
virtualized systems but again because of limitations and
challenges associated with virtualized system scalability,
high availability, and application portability, the
Container technique is gaining increasing attention in
recent years and has become an alternative to traditional
virtual machines to run the application.
Few of the primary motivations for the enterprise to
adopt container technology include its convenience to
encapsulate and deploy applications, lightweight, as well
as efficiency and flexibility in resource sharing.
Considering current vertical and horizontal application
scaling challenges for the high traffic websites, in this
paper we explains the benefits of cloud technology,
virtualization, container and Kubernetes clustering
features. Also, discuss the algorithm for building dynamic
scaling large traffic platforms and applications, which
will be runtime, scaled up and down as per user request
and traffic demand.
Recent growth in e-business, online web application
and mobile user accessibility are exponentially grown
with the widespread of Internet of Things, Data
Processing and data analytic and many more online
portal. To improve better web application performance,
web application availability and scalability resource
utilization many service provider start design services
using micro services and deploy them on the container
using Kubernetes cluster. However, the exiting
approaches fail to address service availability, handling
high traffic load result to dissatisfaction to end users and
business impact. To address these issues, in proposed
work evaluate many interesting aspects of running high
traffic website applications on containerized dynamic
scaling and high availability cluster. Proposed Setup run
on the cloud again, such as how convenient the execution
environment can be set up, what are makes pans of
different workloads running in each setup, how efficient
the hardware resources, such as CPU and memory,
utilized, and how well each environment can scale. The
results show that compared with virtual machines,
containers are more easy-to-deploy and scalable
environment for high traffic workloads
Keywords :
Docker, Cloud Computing, Kubernetes Cluster, K8S, Micro service, Web Server, Haproxy Load Balancer, NFS Storag
A Today digital transformation era, traditional
web based systems and application architecture become
the bottleneck of scaling, high availability, portability,
and many more downtime and performance-related
challenges so the world is started adopting the cloud and
cloud-based services to get its benefits. Virtualization
technology played a very crucial role to migrate
applications from traditional physical systems to
virtualized systems but again because of limitations and
challenges associated with virtualized system scalability,
high availability, and application portability, the
Container technique is gaining increasing attention in
recent years and has become an alternative to traditional
virtual machines to run the application.
Few of the primary motivations for the enterprise to
adopt container technology include its convenience to
encapsulate and deploy applications, lightweight, as well
as efficiency and flexibility in resource sharing.
Considering current vertical and horizontal application
scaling challenges for the high traffic websites, in this
paper we explains the benefits of cloud technology,
virtualization, container and Kubernetes clustering
features. Also, discuss the algorithm for building dynamic
scaling large traffic platforms and applications, which
will be runtime, scaled up and down as per user request
and traffic demand.
Recent growth in e-business, online web application
and mobile user accessibility are exponentially grown
with the widespread of Internet of Things, Data
Processing and data analytic and many more online
portal. To improve better web application performance,
web application availability and scalability resource
utilization many service provider start design services
using micro services and deploy them on the container
using Kubernetes cluster. However, the exiting
approaches fail to address service availability, handling
high traffic load result to dissatisfaction to end users and
business impact. To address these issues, in proposed
work evaluate many interesting aspects of running high
traffic website applications on containerized dynamic
scaling and high availability cluster. Proposed Setup run
on the cloud again, such as how convenient the execution
environment can be set up, what are makes pans of
different workloads running in each setup, how efficient
the hardware resources, such as CPU and memory,
utilized, and how well each environment can scale. The
results show that compared with virtual machines,
containers are more easy-to-deploy and scalable
environment for high traffic workloads
Keywords :
Docker, Cloud Computing, Kubernetes Cluster, K8S, Micro service, Web Server, Haproxy Load Balancer, NFS Storag
