By WalkingTree   September 18, 2020

3 ways to tackle the operations complexity of DevOps

DevOps requires a platform that is both SaaS and managed environments. Is there a platform that connects applications and systems while supporting enterprises as  they move towards digital transformation? If done the traditional way, it will result in an operations nightmare. Let’s take a look at the three ways to tackle the operations complexity of DevOps. 

Cloud-Native Architecture

Kubernetes is an open-source system for automating deployment. A well-designed application based on microservices and running on containers can benefit from technology such as Kubernetes in many ways, such as Resilience & fault tolerance, Multizone cluster, and Millisecond recovery. 

Deployment as Code

GitOps is a way of implementing continuous deployment for cloud-native applications. It focuses on a developer-centric experience when operating, and uses tools developers are already familiar with. The idea is to follow regular Git Flow methodology and have automated operators apply changes to a Kubernetes cluster. 

Normalize Hybrid Environments

Kubernetes is powerful and it is challenging to maintain different versions and distributions, especially when using different cloud providers and on-premises environments. Due to this, developers are moving towards technology that would abstract the complexity away. Google Anthos is a good option for this, which is a full Kubernetes distribution based on Google Kubernetes Engine and is available to Google Cloud Platform customers. 

Read on to know more about the operations complexity of DevOps.

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