NFV (Network Function Virtualization)

The term NFV comes from the telecom industry. It transforms solutions so they can run on any standard hardware.

NFV’s goal is to accelerate the development of hardware-independent services, reduce the cost of proprietarysolutions, and increase the usability of shared equipment.

The NFV architecture and standards are controlled and defined through ETSI. Over the past five years, it has been implemented in numerous telecom networks as a natural step towards 5G technologies.

NFV can be considered a methodology for implementing network and service functions and is divided into main components such as:

Cost optimization

A shared environment and the use of standard hardware ensures cost and investment optimization and allows multiple applications and services to run on the same platform.

Quicker time to market

Automation and virtualization allow evaluation, implementation, or replacement of solutions in a few weeks or days, instead of several months or even a year or more.

Innovation driver

Functions based on these solutions use the flexibility of a scalable system that automatically recovers from potential problems.

Flexibility

Applications and services can be separated from the platform, independently of each other, which simplifies the replacement and management of the application or platform.

Openstack

OpenStack is currently one of the largest OpenSource projects used in various industries, most often in privatecloud implementations.

OpenStack is Open Source and standard for building Cloud IaaS platforms.

Private IaaS is a perfect solution with all the benefits of virtualization. It allows multi-layer management of the system and system segments – for each user (tenant).

A tenant can set up services on the OpenStack platform himself, within the defined limits. One of the tenant responsibilities is to manage the assigned virtual infrastructure, in the same way as it is done in public cloudsolutions like AWS or Azure, completely independent of other users.

OpenStack is a flexible system. It can be upgraded and expanded with various components, as needed.

NFVI in most implementations uses OpenStack as an NFVI component.

Rapid development

OpenStack has support from large companies such as RedHat, Canonical, Cisco, etc. In this way, it’s constantly evolving, and the functionalities are continuously improved and enhanced.

Without Vendor-Locking

OpenStack has no vendor-lock-incomponent because it’s Open Source. That is true for both, commercial and Open Source distribution. The software core is identical.

Scalability

OpenStack as a platform can scale from the smallest “all-in-one” system for evaluation and testing to amulti-data-center solution with a thousand servers in onecluster. Extending OpenStack is simple and has no impact on existing services..

Configurability

Openstack can be customized in a variety of forms and uses, from a classic IaaS solution to a highly specialized system for a specific purpose.

DevOps

DevOps in IT reduces business costs, increases efficiency, and saves time due to the use of specialized methodologies and tools (automation, orchestration, CI / CD, versioning, and proactive documentation). Teams that embrace DevOps are more productive, satisfied, and easier to achieve goals.

Automation and orchestration

Orchestration optimizes the management of automated components and shortens implementation by reducing resource consumption ant time. The use of standard tools (Ansible, Puppet, etc.) results in better control and processes which are easy to reproduce. Also, the possibility of human error is much lower.

Continuous learning

By using DevOps tools and methodologies and constantly learning, teams are continuosly getting better. They increase their value and customer satisfaction.

Document and code compliance

The synergy of code and documentation has been achieved through the constant use of DevOps methodologies and tools.

Stability

By applying the DevOps principle (“Anything as a Code”), the level of system stability increases either by early warning of problems or by quickrecovery after.

Docker/Kubernetes/Openshift

A container is a software that combines executable code and all the necessary dependencies into one unit that executes quickly and efficiently on different platforms. Containerization is the next step in resource management.

Dockeris a container management software leaned directly on the operating system because it is more efficient.

Kubernetes is an open-source platform for managing containerized content and services. With proper configuration and automation, thousands of containers can be managed easily. That’s efficiency!

Openshift is a RedHat enterprise container management solution based on the Kubernetes platform .

Automatic scaling, availability tracking, and monitoring

Conducting an assessment. The platforms we use have built-in automatic scaling functionality, monitoring of individual components, and statistics and metrics.

Effortless upgrade without service interruption

Containerization and related tools enable platform and service upgrades without interruption.

Focusing on core business

By using containers you can reduce the need for infrastructure maintenance and return the focus to the core business – be it development or engineering, or something else.

Faster development and universal environment

You can deliver applications faster and with fewer errors because of containerized platforms that simulate different application environments.

Data monitoring solutions

Data is an unprocessed fact that has some meaning. The information is the result of data analysis that gives a new sense to the user. After interpretation, information becomes knowledge. Monitoring solutions are one of the key components in interpreting and translating data into information. By effectively converting data into information, the time required to make (critical) decisions, is minimized.

Solutions we use:

Accelerated decision-making

Speed of decision-making, both in critical moments and in daily operations, is crucial for business. Accurate and timely information is the basis for making a decision.

Reducing “data-chaos”

Data, no matter how much there it is, can be reduced to essential information by applying the processing methods in the platforms we use.

Precision

The data can be transformed and enriched through various filters until it becomes information that includes very precise parameters.

System predictability

Information gathered by data monitoring solutions helps predict system behavior and prevent problems. Or, define the actions needed to solve the problem.