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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...

Differences: Data Center Vs. Telecom Networking

Data Center Networking


Data Center (DC)-based services are emerging as a relevant source of network capacity demand for service providers and telecom operators. Cloud computing services, Content Distribution Networks (CDNs), and, generally, networked applications have a huge impact on the telecom operator infrastructure.

New trends

The Cloud computing paradigm provides a new model for service delivery where computing resources can be provided on-demand across the network. This elasticity permits the sharing of resources among users, thus reducing costs and maximizing utilization while posing a challenge towards an efficient cloud-aware network.

The computing resources can be provided on-demand depending on the user requests. Such resources can be allocated on distinct servers into a data center, or through data centers distributed in the network. Under this new model, the users access their assigned resources, as well as the applications and services using them, through telecom operator networks. 



Differences: Data Center Vs. Telecom Networking
Networking


Tradition telecom networks


Traditional telecom networks have been built on the concept of totally managed services, with an end-to-end approach, where the telco operator is in charge, not only, of providing the necessary connectivity to the end-user and the final service itself, but also of providing total control of the service provision, including tasks such as subscription management, billing, network operation and troubleshooting, quality of service guarantee, customer care, etc.

Such an approach mandates a tight control of the service path and a comprehensive understanding of the service and its implications. The telco operator offers those services to its customers, which merely consume them (even, in some cases, composing some of them) in a controlled manner, within the limits provided by the telco operator. 

New Trends


These services can be seen as building blocks, which at the same time are supported by network building blocks, both at transport and control level, monolithically. The telco services are typically provided by centralized nodes located deep in the network.

These service nodes are under the sole control of the network operator. Such a controlled environment tends to remain stable where the innovation in technology and services is gradual and modulated by the network operator.

However, during the last decades, the technology fundamentals of computer networking have been influencing the telecom networks, mainly due to the hegemony of the Internet Protocol (IP), which has been emerged as the technology substrate for every kind of service, also for the traditional services offered by telco operators.


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