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As chatbots are being used more often as an effective marketing tool, organisations have started taking a look at how they can take their marketing, branding and customer interactions to the next level using WhatsApp.
In a previous article we introduced the open source container management orchestration tool Kubernetes. We looked at where Kubernetes can be used, how it works and the benefits of using such a tool to manage your containerised applications. As more organisations start using serverless architectures to deploy their applications, Kubernetes has become increasingly popular. Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) have all introduced Kubernetes into their service offerings to ensure that their users are able to manage, upgrade and deploy their Kubernetes-based architectures straight from the cloud. We are going to deep dive into the strengths and drawbacks of each cloud platform’s Kubernetes offering and how each can be beneficial to your organisation’s containerised applications.
DevOps is a field of engineering that focuses on the tools and practices required to deliver software applications or services to organizations quickly and continuously. DevOps requires the manual configuration of software requirements, such as virtual machines, storage and servers, to deploy software solutions appropriately. This is all done in a release pipeline. Different teams are consulted to carry out this process such as security teams, network teams and the development team. Since many teams are involved there is an increased possibility of human error occurring during the configuration process which can result in increased maintenance costs. Therefore, a goal in DevOps is to try to make the deployment of software as automated and efficient as possible.
There are an extensive number of programming languages that are currently available for web development. We are going to take a look at a few of the most popular languages for developing mobile and web applications, including Javascript, Python and PHP.
Now that we’ve looked at the GCP-based solution architecture for the mentioned case study. Let’s take a look at the AWS-based and Azure-based solution architectures.
Out of the big 3 cloud platform providers, Amazon Web Services (AWS) was the first to render cloud services, with the Google Cloud Platform (GCP) and Microsoft Azure following thereafter. Overtime, each of the three cloud platforms have become well-established and continue to introduce new and innovative services to help organizations achieve their business goals. As each platform becomes more popular, we need to better understand which platform offers the most competitive pricing. We are going to take a look at how each platform ranks in terms of their costing for a simple solution, to determine which cloud provider is the most cost-effective.


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