What emerging technologies are essential for NOC technicians to learn?

Emerging technologies that NOC (Network Operations Center) technicians should consider learning include: 1. Software-Defined Networking (SDN) 2. Network Functions Virtualization (NFV) 3. Network Automation and Scripting 4. Cloud Technologies (AWS, Azure, GCP) 5. Edge Computing 6. Internet of Things (IoT) 7. 5G Networks 8. Network Security (Threat detection, intrusion prevention) 9. Artificial Intelligence (AI) and Machine Learning (ML) 10. IPv6 11. Containerization and Microservices (Docker, Kubernetes) Familiarity with these technologies will help NOC technicians adapt to the evolving networking landscape and perform their roles effectively.

Software-Defined Networking (SDN): SDN allows for centralized network management, making it more agile and adaptable. NOC technicians should understand SDN principles and how to work with SDN controllers. Network Automation: Knowledge of automation tools like Ansible, Puppet, or Chef is crucial for streamlining network configuration, provisioning, and management tasks. Cloud Technologies: Familiarity with cloud platforms like AWS, Azure, and Google Cloud is essential, as many organizations are moving their services and infrastructure to the cloud.

Software Define Network (SDN) Network Function Virtualization (NFV) 5G Technology Edge Computing Cloud Computing and Cyber Security implementation in progress

To ensure proficiency in a NOC role, I'd prioritize the following skills: -Fundamentals of routing. -Fundamentals of switching. -Basics of the TCP/IP protocol. -Fundamental Linux knowledge. -Basics of cloud computing (with a preference for AWS). -Proficiency in Bash and Python scripting is highly valuable. Given that a NOC typically serves as an entry to middle networking level, I would focus on these foundational skills. Exploring further into emerging technologies can be delegated to engineers and architecture areas, allowing the NOC to remain a solid operational foundation.

As I've worked as NOC before, i think these are important to learn :- - CCNA/CCNP - SDN - Troubleshooting and how to isolate the issue. - Cloud computing

Two of the biggest jobs at risk of automation since AI/LLMs have started to become integrated within NOCs have been Helpdesk and NOC Technician roles. For common troubleshooting tasks, ChatGPT tends to be better at answering and troubleshooting end user issues, because the data it has been trained on gives AI a more complete picture of IT architecture (and what seems like all human knowledge since GPT 4). It's hard to compete with that when you're first developing a fundamental understanding of Networking technologies and are already being bombarded with so much information. In order to combat this, technicians have to learn faster than all those before them, and quickly get to a point where they're able to provide more than A.I.

In the field of Network Operations Center (NOC) management, staying updated on vital technologies is crucial. These are the key tools and systems that ensure networks run smoothly. Here are essential technologies for NOC technicians: 1. Cloud Computing (Azure, AWS, Google Cloud). 2. Automation (Ansible, Chef, Puppet). 3. Software-Defined Networking (SDN). 4. JSON (Automation). 5. Cybersecurity Awareness. 6. Virtualization (VMware, Docker). 7. IPv6 Transition: Adapting to IPv6 addressing and routing. These technologies are essential for NOC technicians to ensure network efficiency and reliability.

NOC technicians should learn about automation tools and orchestration frameworks. These technologies improve overall network management efficiency by streamlining repetitive activities and lowering manual errors.

Robustness and redundancy of the network plays a major role. Therefore use of AI for this is also vital. ML plays a different role in optimisation of the network . That has different learning all together.

AI is being useful to automate and simplify some processes in the daily basis. It facilitates complex situations where it's critical on NOCs side

Learning and utilisation of protocols and there clash with IP address is a main cause of concern. Therefore it is essential that what protocol is to be used so that latency decreases on iot devices and reliability enhances.

The IoT perspective revolves around the interconnectedness of devices, the wealth of data generated, its diverse applications across industries, and the ongoing evolution of the technological ecosystem that supports it.

Networking programmability, Python, and well-known libraries and frameworks, to name a few, can be used to develop the necessary functions and integrations to drive the orchestration, provisioning, and automation of all tasks related to fault, performance, security, and configuration management across large sets of multivendor networking devices. To achieve high availability with drastically reduced risks of customer impact, as well as to ensure business agility through provisioning and deployability services, engineers must not perform any manual tasks on network devices. That's the goal! Therefore, network engineers must learn to manage the infrastructure through code and have well-defined coding practices, systems, and pipelines.

Cloud computing is a transformative paradigm in the field of networking that has revolutionized the way businesses and individuals manage & access computing resources. In a networking environment, cloud computing refers to the delivery of computing services, including storage, processing power, and applications, over the internet, Key features of cloud computing in a networking environment include: 1. **Scalability 2. **Resource Pooling 3. **On-Demand Self-Service 4. **Broad Network Access 5. **Measured Service 6. **Reliability and Availability 7. **Security

Let's go step forward work on 6G throughout the world is in progress. In times to come we will have a 6G network including handsets. But main challenge is spectrum availability/ interference issues and availability of support systems. Utilisation of common infrastructure is a key issue. Development cannot take place unless we do complete study on these aspects. None the less EMI/EMC issues also.

Network Security Traditionally, network and security have been distinct, with separate infrastructure and tools to manage each capability. But that is now shifting with the emergence of security models like Secure Access Service Edge (SASE). Integrated NOC and Security Operations Centre (SOC) is the new normal. With remote work and a growing number of apps connecting to the network, standard perimeter security is no longer enough. AI-driven analytics and automation examines real time network traffic to prevent, detect and mitigate threats. As organizations continue to contend with data sprawl, services that can help companies leverage and facilitate solutions to secure access to data and applications for the right users at the right time.