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Cloud Computing

The first phase of Digital Transformation.

It is not a matter of subject IT on the cloud. Cloud migration is complex, and the process must be customized to the 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 Lösungen on Amazon Web Dienstleistungen, Microsoft Azure, Google Cloud, VMware 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 Überwachung)
- Build Cloud Storage Area (S3, EBS, Azure Blob, EFS), Storage Gateways
- Zurückup 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 challenge specific to cloud computing and the strategies and technologies that can be used to address them.

Cloud management and administration

The tools and techniques used to manage and administer cloud environments, including monitoring, automation, and disaster recovery.

Cloud application development

The development and deployment of cloud-native applications, including using 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-Strategie

- 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-Strategie

- 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 Zuverlässigkeit

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 50% of its time on development tasks such as new features, scaling, or automation. Our Site Zuverlässigkeit Engineers are making your infrastructure stable and optimized!
- Virtualization & Data Stores (Vmware ESX, Hyper-V, Xen, Ovirt)
- Best Practices Apply
- Network Designing
- Zurückup and Disaster Recovery Site Design
- Technology Transfer
- Infrastructure Deployment with Code
- Big Data and Machine Learning Deployments
We’re ready for;
  • Entwerfen, Aufbauen und Betreiben von skalierbaren, zuverlässigen und effizienten Systemen. Dies umfasst die Auswahl der richtigen Technologien und Architektur für das System und die Implementierung von Best Practices für Systemdesign und -betrieb.
  • Überwachung and measuring system performance and identifying and resolving issues affecting the system’s reliability and availability. This involves using various 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 to meet the business’s and its customers’ needs.