Machine learning and cloud

The cloud technology is continuously updating with newer technologies, better security measures, storage options and much more. With the rise of Artificial Intelligence (AI) that have led to further enhancements in the cloud computing industries. One such enhancement is the Machine learning, which allows a system to “learn” from a given set of data models […]

Azure vs GCP vs AWS Part – II

The last blog explained about Amazon Web Services was and how it changed the direction of the cloud technologies. It was the leading platform in cloud computing until it was rivalled by Microsoft with its cloud platform introduction in 2011. Azure Azure is the cloud service platform developed by Microsoft. Even though it was launched […]

Alibaba Cloud

When it comes to selecting a cloud computing platform for an organisation, the wise choice must be made. The leading cloud service providers are AWS, Microsoft Azure and Google Cloud Platform. The irony of these companies is that all of them are American multinational organisations. Another popular cloud computing platform is Alibaba Cloud. Alibaba Cloud, […]

Why Do You Need Istio? Part 2

In the previous blog, we saw how Istio has helped developers to streamline the security protocols associated with DevOps microservices. This has removed many bottlenecks related to deployment and integration process. Microservices has developers to automate many DevOps operations, but each of those Microservices come with security protocols which may clash with other Microservices. Too […]

Why Do You Need Istio? Part 1

Growing complexity As deployments, integrations and developments get complex, tools come to the rescue of developers. From version control tools such as Github and git to monitoring tools such as Datadog and Scout. After technologies like containerization has gained traction among developers, microservices like kubernetes has only added to the complexities. While it could be […]

Reasons To Choose Google Cloud Platform – Part 2

  Containers   Nothing helps developers to speed up their deployment and scaling apps like container applications. They are also quite useful in PAAS scenarios as well. For DevOps, Google Cloud Platform comes with their own container orchestration tool called Kubernetes. For DevOps engineers Google Cloud Platform is more like a Container-as-a-Service solution, providing the […]

Quality As A Team Effort  With DevOps part 2

In continuing from the previous blog, we saw how and why DevOps lead to better results which also strengthen the culture of the organization in the process. In this, we further see how DevOps fundamentally change the cultures and workflow, not by its own strict instead by shifting what the end goals are and what […]

DevOps constructed Part 3 – Continuous Delivery – Demands And Expectations

Continuous delivery is the operational extension of continuous integration. This technique focuses on automating the software delivery process so that operations team can easily and assuredly deploy their updated code to production at any time. By making sure that the codebase is always in a real-time deployable standby status, releasing and adding software updates becomes […]

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