Kubernetes Adoption 
and Audit

Manually launching and configuring heterogeneous applications on the same server (or in the same virtual machine) often leads to errors - with versions, paths, libraries.

The solution to the problem has long been known: containers. And the most popular containerized application management system is Kubernetes, an open source platform developed by Google.

You have a ready-made project that has “taken off” and wants to be sure that it will not “fall” due to the lack of dedicated specialists for the Kubernetes cluster.

Growing startup

Your project has already reached a plateau, and you need to know for sure that everything is set up correctly and there will be no disaster tomorrow.

A stable project

It is clear that there are problems, but it is not clear where exactly? We'll help you find the answers.

A project that is in trouble

1. Assessment and Planning

As a company implementing Kubernetes for a client, we will first assess their requirements and objectives. We will review their infrastructure, networking, storage, and security configurations to determine how Kubernetes can help them achieve their goals.

2. Proposal and Approval

After assessing the client's needs, we will propose a Kubernetes implementation plan that meets their requirements. We will work with the client to finalize the plan and obtain their approval before proceeding.

3. Installation and Configuration

With the client's approval, we will proceed with the installation of the Kubernetes software on their infrastructure. We will set up the Kubernetes cluster, configure the networking and storage, and set resource quotas and limits as needed.

4. Application Deployment

Once the Kubernetes cluster is installed and configured, we will proceed with deploying the client's applications on the cluster. This will involve creating Kubernetes objects such as pods, services, and deployments to define the application deployment and scaling policies.

5. Scaling and Optimization

To ensure that the client's applications can handle increased traffic and demand, we will configure the auto-scaling policies provided by Kubernetes. This will ensure that the applications can scale automatically based on demand.

6. Monitoring and Alerting

We will set up monitoring tools and dashboards to track the performance and health of the client's Kubernetes cluster and applications. This will help us identify issues and troubleshoot problems quickly.

7. Training and Handover

Once the Kubernetes implementation is complete, we will provide training to the client's IT team on how to manage and maintain the cluster. We will hand over all necessary documentation and provide ongoing support to ensure that the client can use Kubernetes effectively over time.

We will check the stability of Kubernetes clusters to insure you against accidents or evaluate the quality of work of infrastructure contractors

You can see that during operation, random restarts of applications in the cluster happen.

You have encountered problems or downtime in the process of deploying new versions of applications.

You want to add functionality and understand how to do it right.

You need to check the integration of the solution to be sure that the pipelines are correctly adapted and the interaction between the systems is normal.

You want to check the quality of outsourced cluster deployments before accepting them.

There is a need to make sure that the security policies in the cluster are configured correctly (and that they even exist).

There is a need to cut costs, but you don't know where to start.

Checking the installation according to the checklist with the conclusion that the cluster is ready for scaling and moving to a new stage of development.
Inspection of applications and conclusions about their working condition and ways to improve efficiency.

Checking the current installation

Verification of solution integration, including interaction between systems and load assessment.

Revision of security policies with ingress analysis and role-based access control.

A roadmap for expanding functionality (for introducing blue / green deployments, creating a geo-distributed failover cluster, switching to GitOps, etc.).

Analysis of monitoring (monitoring of nodes, applications, resource consumption, delays).

Search for weak points that hinder development

Analysis of the backup scheme with checking the method of backing up the state of the cluster and deploying the cluster.

Analysis of costs with optimization of costs for tariffs in the cloud and / or for physical servers.

Fault tolerance analysis with verification of installation, master configs, node substitution.

Pipeline analysis with workflow check.

Analysis of the storage system with a check of its fault tolerance and performance.

Scalability analysis.