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Industry-wide, technical teams are under pressure to be more innovative and nimble in order to keep up with shifting client demands. They want greater flexibility, scalability and automation from their infrastructure. But most of the time, traditional data centers are doing a good job for these companies. To achieve these goals, organizations are modernizing their IT operations by embracing technologies such as DevOps, cloud computing and containers. Organizations are turning to Kubernetes to help them build more secure, robust software that can scale with their business needs.

The leading platform for orchestrating containers and Cloud computing is Kubernetes, developed initially at Google and now maintained as an open-source project with contributions from engineers at Google, Red Hat, Intel and hundreds of other software firms. It is currently the de facto standard in cloud-native computing. This means that there is no other platform that can compete with the technical specs of Kubernetes when it comes to containers orchestration.

What does this mean?

It means that Kubernetes provides cluster management, deployment scheduling and resource allocation tools that let DevOps teams easily automate application deployment on in-house hardware or on public clouds such as AWS or Azure.

It also works with several other technologies like Mesos, Marathon etc., which simplifies the process of running containers across multiple hosts within your infrastructure.

Kubernetes is a critical component of the cloud-native application development landscape, and it’s not just for DevOps anymore. However, there are some important considerations you should take into account before implementing Kubernetes in your organization:

How does Kubernetes work?

Kubernetes is an open-source platform for automating the deployment, scaling and management of containerized applications. It’s designed to run anywhere: on-premises, in the public cloud or even on your own server infrastructure. Some keywords related to Kubernetes include:

  • Containers: Kubernetes is designed to manage containerized applications, which are lightweight, portable, and self-sufficient.
  • Orchestration: Kubernetes is a tool for orchestrating the deployment, scaling, and management of containerized applications.
  • Clusters: A Kubernetes cluster is a set of machines (physical or virtual) that run containerized applications.
  • Pods: Pods are the smallest and simplest unit in the Kubernetes object model, representing a single instance of a running process in a cluster.
  • Services: Services provide a stable endpoint for pods, allowing them to communicate with each other and with external systems.
  • Replication Controllers: Replication Controllers ensure that a specified number of replicas of a pod are running at all times.
  • Deployments: Deployments provide declarative updates for pods and Replication Controllers.
  • ConfigMaps and Secrets: ConfigMaps and Secrets allow you to manage configuration data and sensitive information separately from your application code.
  • Volumes and Persistent Volumes: Volumes and Persistent Volumes provide a way to store data in a containerized application.
  • Namespaces: Namespaces provide a way to divide a cluster into multiple virtual clusters.
  • Kubernetes API: The Kubernetes API is the primary way to interact with a Kubernetes cluster, allowing you to create, update, and delete objects.
  • Kubernetes ecosystem: Kubernetes ecosystem includes tools and services that integrate with Kubernetes, such as Helm, Istio, and Prometheus.
  • Kubernetes community: Kubernetes has a large and active community of developers and users who contribute to the project and provide support.

How to implement Kubernetes in your business?

To have a Kubernetes implementation in your organization, you need to set up the infrastructure. The first step is to ensure that your data center has the required hardware and software. You can use commercial cloud providers like AWS or Google Cloud Platform (GCP) but they will charge for their services. For example, if you want to use GCP for Kubernetes deployment then it will cost some amount in per month per instance or server depending on how many instances are running at any given time.

The second step involves creating a secure environment for Kubernetes containers so that no unauthorized person can access them or even see them running on your cloud server(s). This means ensuring that all sensitive information such as passwords and keys are kept away from prying eyes by encrypting them before sending them over networks such as WAN links where there could be hackers who could steal valuable data from unprotected systems

Set up the infrastructure

This is where you install and configure the Kubernetes cluster, master and nodes to run your application infrastructure (e.g., a database). You also need to configure your Kubernetes environment so that it can be used by other teams in your organization or department of business units within an organization.

Create a secure environment for Kubernetes

Kubernetes is a powerful tool, but it can also be dangerous. It is a platform for running containerized applications in production and can be used to run any kind of application. It has many benefits, including the ability to scale out quickly and efficiently because you only pay for resources when they are actually needed by your application. But this also means that if something goes wrong with Kubernetes or your cluster (and it will), then you might lose data or even worse: users’ data may get corrupted due to an unexpected error during deployment process.

Create a secure network for containers

  • Create a secure network for containers.
  • Use a network overlay, such as [Open vSwitch], to create an overlay network that extends the physical host’s physical switches to connect them together. This allows you to create virtual networks on top of your hosts and add third-party networking solutions like OpenStack or Kubernetes Service Catalog (K8S).
  • Use a virtual private cloud (VPC) with Elastic Load Balancing (ELB) or application-level load balancing as well as multi-tenant container networks so that each tenant can have their own dedicated network without affecting other tenants’ performance or security. These features allow you to separate users from each other in order to limit access rights so they don’t see each other’s data in real time while also ensuring security concerns are addressed by enforcing policies such as TLS/SSL configuration through either an external service provider such as AWS ELB or internal policy controllers deployed within the VPC itself

Choose the best container runtime for your needs

Kubernetes supports multiple container runtimes, including Docker and rkt.

Docker is the most popular runtime for Kubernetes by a wide margin—it has more than 50% of the market share in this category.

Set up RBAC (role-based access control)

RBAC (role-based access control) is a mechanism that allows users to be assigned specific roles and permissions. You can use this feature to set up roles and permissions on Kubernetes, which is necessary for Fintech companies in order to secure their data.

How do I set up RBAC?

To begin, you’ll need a cluster with at least one node running Kubernetes 1.6 or later:

$ kubectl create clusterrolebinding default-role -n \ –user=${KUBERNETES_USER} –namespace=kube-system

Implement the logging and monitoring of your cluster and workloads

You’ll need to know how your applications are performing and who is accessing them. Monitoring tools like Prometheus, Grafana and Elasticsearch can help you with this.

Monitoring is also essential when it comes to troubleshooting issues, such as performance issues or security breaches. If your application crashes due to a security breach in its code base, you’ll want to know about it immediately so that you can take action before any damage is done!

The implementation of the Kubernetes platform isn’t always trivial, but it’s worth it when done right as it can strengthen and future proof your business, adding value to your team and overall security to your clients and customers.

Kubernetes is a powerful tool that can be used to build and deploy applications. It’s a platform for automating deployment, scaling and management of containerized applications. Kubernetes uses Docker containers as building blocks for application deployment.

In addition to the benefits of using an open-source project like Kubernetes with its own community support in terms of documentation, there are some specific benefits you might want to consider when choosing between using Open-Source vs Paid Software:

  • In some cases, it may make sense to pay more upfront costs upfront costs rather than incur ongoing monthly fees over time.
  • You’ll need help from experts who know what works best for your company/team if you’re new at this kind of thing.
  • This will allow them access so they can work remotely wherever needed (rather than having them travel around constantly).


Kubernetes is a powerful tool and the best way to get started with it is by taking advantage of all that it has to offer. By following our recommendations, you can successfully implement Kubernetes for your business in no time!