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Cloud Computing

The first phase of Digital Transformation.

It is not a matter of subject to following, IT is on the cloud now.

Cloud migration is complex, and the process must be customized to the individual organization’s needs. Will need a cloud migration strategy that ensures the least disruption to services and addresses your short-term and long-term organizational goals.


“It’s not an experiment if you know it’s going to work.”

Jeff Bezos

How?

We bring end-to-end Cloud Solutions on Amazon Web ServicesMicrosoft AzureGoogle CloudVMware Cloud, and Rackspace
– Lift and Shift to the Cloud (Transformation)
– Optimise Cloud (Cost Cutting)
– Scale Up / Scale Down (Pay what you need)
– SLA and Performance Management (Proactive Monitoring)
– Build Cloud Storage Area (S3, EBS, Azure Blob, EFS), Storage Gateways
– Backup to Cloud, Disaster Recovery, Avalibity Zones, FailOver Sites

Cloud architecture and design: Fundamental concepts and principles of cloud architecture and design, including the different types of cloud models (e.g. public, private, and hybrid) and the various components of a cloud system (e.g. compute, storage, networking).

Cloud services and technologies: The various cloud services and technologies that are commonly used in cloud computing, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Cloud security and compliance: The security and compliance challenges that are specific to cloud computing, and the strategies and technologies that can be used to address them.

Cloud management and administration: The tools and techniques that are used to manage and administer cloud environments, including monitoring, automation, and disaster recovery.

Cloud application development: The process of developing and deploying cloud-native applications, including the use of cloud-specific technologies and frameworks, such as containers and serverless computing.

Choosing Cloud Platform(s)

While identifying applications for migrating to the cloud, we also help consider the platform where it will be deployed. Security, compatibility, tooling, and cost model are valid players in this decision.

Moving to a public cloud, such as AWS, Azure, or GCP, is popular as it provides on-demand resources without purchasing hardware and software. In the public cloud, third-party providers own and operate resources that are often shared between tenants.

Single Cloud Strategy
– Uses a single provider to serve any or all applications or services
– Limited to the offerings of the chosen provider
– Just one set of cloud APIs to learn; relatively simple to manage
– Vendor lock-in issues

Multi-Cloud Strategy
– Run applications across cloud environments from multiple vendors
– Flexibility to choose providers according to workload requirements
– Complicated strategy that needs an adept IT team
– Easily shift from one provider to another

Site Reliability

A site reliability engineer (SRE) will spend up to 50% of their time doing “ops” related work such as issues, on-call, and manual intervention. Since an SRE’s software system is expected to be highly automatic and self-healing, the SRE should spend the other 50% of its time on development tasks such as new features, scaling, or automation. Our Site Reliability Engineers are making your infrastructure stable and optimized!
– Virtualization & Data Stores (Vmware ESX, Hyper-V, Xen, Ovirt)
– Best Practices Apply
– Network Designing
– Backup and Disaster Recovery Site Design
– Technology Transfer
– Infrastructure Deployment with Code
– Big Data and Machine Learning Deployments

We re ready for;

  • Designing, building, and operating systems that are scalable, reliable, and efficient. This involves choosing the right technologies and architecture for the system, and implementing best practices for system design and operations.
  • Monitoring and measuring system performance, and identifying and resolving issues that affect the reliability and availability of the system. This involves using a wide range of tools and techniques, such as monitoring and alerting systems, log analysis, and automated testing, to identify and diagnose problems.
  • Implementing automation and other tools to improve the reliability and efficiency of the system. This could include automating routine tasks, such as deployment and configuration, to reduce the time and effort required to maintain the system.
  • Collaborating with other teams, such as software engineering and operations, to ensure that the system is designed, built, and operated in a way that meets the needs of the business and its customers.

Let’s work together on your
next web project

Please Refer our Github Repo for technical depts and do not hesitate to Contact US