Page 13 - Cloud Chronicles Fifth Issue
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ICT: Data center energy infrastructure is scalable assure accessibility in the event
efficiency is a growing enough to meet the growing of a breakdown, data redundancy
concern. What steps have demands of cloud-based entails storing data in numerous
you taken to optimize applications and services? locations. Data and system
restoration following calamities is
UNVEILIN G energy consumption and KP: We calculated the three- referred to as disaster recovery.
UNVEILING
reduce the environmental
year data processing needs and
Our strategy is for using all Nepali
impact of your company?
looked to meet expectations for
data centers, including those in
KISH O R P TH KP: Concerns are growing about the data center location while Kathmandu, to provide services
KISHOR PANTH
AN
adjusting capacity. Scalability is
based on the criticality of the
data centers’ increasing energy
being taken into account in the
data. Depending on customer
use. Despite attempts, rising
data processing and storage planning for a new data center requirements, we use Azure and
demand raises energy use. Due over a ten-year period. Two AWS, and before installation, we
to complications, improving data readily available data centers get the client’s approval.
efficiency remains a challenge. were used. The company wants ICT: Artificial Intelligence
Many businesses, including ours, to expand outside of Kathmandu
struggle to maximize energy use to the rest of Nepal within the and Machine Learning
due to practical challenges and next five years, offering on- are playing an increasing
high electricity costs. demand cloud computing for role in data center
efficient IT growth. management. How is your
ICT: Can you share data center leveraging these
any recent projects or ICT: Compliance and technologies to enhance
technologies your company regulatory requirements efficiency and performance?
has implemented to improve can vary across industries
cloud services? and regions. How does KP: That is accurate, yes.
your company ensure Machine learning (ML) and
KP: Customers have received compliance with relevant artificial intelligence (AI) are
help from us to make their apps standards and regulations playing an increasingly important
cloud-compatible. A financial in the cloud environment? role in data center management.
cloud is being created, with a With these technologies, it is
focus on cloud-based services. KP: Compliance requirements possible to automate operations,
Applications that are not cloud- vary by industry due to the boost efficacy, and improve
ready provide difficulties. Apps diverse laws and regulatory performance. We are not,
for customer assistance are frameworks in different places. however, currently utilizing any
part of our project, along with Our company adheres to kind of AI. These days, artificial
a framework for simple app international standards while intelligence is something that
migration. Complete cloud focusing on the local market to everyone wants to use in
banking integration is the make compliance easier. Local everything. Currently, we are
end goal. markets could have looser unaware of how to use artificial
regulations than other places, intelligence. It might be useful
ICT: As cloud which aids in managing to our company in ten to fifteen
usage increases, compliance. years, but not right now. Although
scalability becomes we are unable to discuss the
crucial. How do ICT: Data redundancy precise application at this time,
and disaster
you ensure that recovery are vital we do employ AI tools for some
your company’s aspects of our reporting and data
aspects of cloud collection.
infrastructure.
Could you ICT: Could you share an
explain the example of a challenging
redundancy situation where your
measures company played a crucial
you have in role in ensuring the success
place and how of a cloud-based project?
you handle KP: Our business had difficulties
potential data loss in helping customers switch
scenarios? from traditional software to
a cloud-based solution. We
KP: Important advised moving to the cloud in
components of cloud 2016 to make things simple.
infrastructure are Local services are still crucial,
data redundancy
and disaster but the pandemic improved
recovery. In order to comprehension of the cloud.
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