Kubernetes is an container orchestration platform that allows developers to deploy applications across multiple cloud providers. It provides a consistent interface between containers and infrastructure, so your skilled developers can focus on writing code instead of worrying about managing infrastructure. Do you want to streamline your CI/CD process? With our advanced Kubernetes consulting services, it has never been easier.
Just imagine you can deploy an application on a new node in a couple of minutes. Luckily, our Kubernetes consulting services can turn this dream into a reality as this unique tool significantly facilitates the development, release, and deployment processes. While minimizing timeframes, Kubernetes also reduces the cost of deployment of new software, therefore, bringing even more value to your business.
From app setup to node scaling automation, Kubernetes allows automating a wide array of workloads and processes. By creating new containers, we can automate the deployment of your applications in a few clicks. What is more, these containers will ease the migration process with the ability to delete old resources per your request.
As your business grows and develops, your applications should also be transformed based on your demand, efficiency, and other needs. Thanks to such a powerful orchestration tool like Kubernetes, scalability is not a challenge but rather a 100% guarantee. Moreover, it enables the simultaneous deployment of multiple containers.
Sometimes reducing the degree of self-management can be truly pivotal to your business. In such cases, Kubernetes is a perfect option as it provides the migration from one cloud provider to another. The great thing is that there is no necessity to rewrite the code of your application from scratch.
While the system will automatically restart containers that fail, your IT department can focus on other critical tasks. In case of any wrong operation, Kubernetes will eliminate interruptions in your business by conducting a seamless rollback.
Being compatible with prominent platforms like AWS, Azure, and Google, Kubernetes provides migration of containerized apps into the production deployments on any cloud model convenient for you, including public, private, virtual private, community, or even hybrid cloud.
While the ability to run a continuous or delivery pipeline is considered to be one of the primary uses of Kubernetes, our experienced team will assist you with the implementation of the CI/CD pipeline to establish a full proof security posture before it is employed in production.
The support of your Kubernetes solution is an inseparable part of further success. For this reason, we put an emphasis on tracking and monitoring to detect any aberrations with the system. Such a precise approach to all processes enables us to fix the problems before they start impacting the performance.
With our client-centric and professional approach to each customer, you will definitely find out how to get the most out of Kubernetes technology. Whether you wonder how to get the Kubernetes adoption done in the right way or how to minimize cost, our proficient Kubernetes advisory consultants will give you answers to these and many more crucial questions.
Thoroughly reviewing your business processes, technology stacks, and workloads, we get to the core of your business in order to introduce an efficient plan for Kubernetes adoption. Then, our skilled DevOps engineers apply their deep knowledge to help you avoid all the possible bottlenecks during the Kubernetes adoption and ensure 100% success.
As a leading application containerization service provider, Matoffo can easily transform your legacy application into microservice-based architecture. Equipped with rich expertise in delivering container orchestration services to international companies of all sizes and specializations, we know how to make your applications work for the benefit of your business.
A managed container service to run and scale Kubernetes applications.
A package manager to define, install, and upgrade Kubernetes applications.
A tool for monitoring Kubernetes clusters/ metric analytics, monitoring, and visualization.
GitOps continuous delivery tool for Kubernetes responsible for monitoring all running applications.
An infrastructure as a code tool that helps to create, change, and improve infrastructure.
A log aggregation system designed to run as a horizontally-scalable distributed system.
A Kubernetes manifest to add, remove or update configuration options without forking.
A tool to control DNS records dynamically via Kubernetes resources.
A secrets management tool designed to provide secure access to tokens, passwords, etc.
Kubernetes Plans
Service Tier
Starter
Standard
Advanced
Network
Well-designed vpc architecture, route tables, subnets, secondary ranges, etc.
Well-designed vpc architecture, route tables, subnets, secondary ranges, etc.
Well-designed vpc architecture, route tables, subnets, secondary ranges, etc.
Kubernetes level
Amazon EKS managed cluster with autoscaling groups
Amazon EKS managed cluster with autoscaling groups
Amazon EKS managed cluster with autoscaling groups & node groups per applications needs
Infrastructure
Configurations of S3,RDS, etc. if needed
Configurations of S3,RDS, etc. if needed
Configurations of S3,RDS, etc. if needed
DNS automation
DNS records automatic provision for new services
DNS records automatic provision for new services
DNS records automatic provision for new services
Custom helm charts, kustomize
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GitOps approach
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HTTPS/SSL private hosted zones in Route53
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Monitoring (Grafana/Prometheus)
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Logging, Loki
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Cost-calculator/optimisation add-on
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Deep configuration in resources for services
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Being a powerful player in the wellness & fitness niche, Naring Health handles multiple diet-related services under one roof. On the one hand, they evaluate DNA, microbiome, and metabolic reaction to particular meals or dietary practices to define a sufficient eating program to prevent or treat disease.
As one of the most influential humanitarian organizations, Adra specializes in managing diversified services, each of which is intended to help individuals, communities, and society as a whole. Such a charity-oriented mission undeniably requires a robust technical foundation.
In the modern business ecosystem, it is essential to constantly improve your services in order to engage potential clients and keep pace with the competitors. Growing means consistently examining your current infrastructure for weak areas and considering whether what you have in place is not only meeting the basic needs of your company today but also setting you up for triumph in the increasingly cloud-focused future.
The client experienced the need to automate the deployment process of microservices and simplify the release process. One of the requirements was to migrate Docker containers to AWS ECS and move existing infrastructure to Terraform.
The client had a manual multi-environment infrastructure deployment аnd no continuous integration & continuous deployment automation. That significantly impacted the speed of product development, release, and delivery cadence of new application versions in general. Besides, it required a considerable part of the development team capacity to process it manually.
The client faced the need to automate multi-environment continuous integration and deployment process of microservices, move the front-end part to CDN as well as deploy multi-environment infrastructure as a code.
The client had high costs for development, deployment, and, most importantly, operation of the data platform including Data Lake, Ingestion, and ML Pipelines. The pipelines were mostly running in EC2 instances, which led to the increased cost of operations and required a significant amount of time to deploy and test the pipelines in lower environments.
The client came with a request to automate and unify the deployment process of serverless applications on AWS Lambda. Having manual deployments before, the customer was facing inconveniences and difficulties, including non-uniform environment setup (versions of Serverless, Python, Node, and so on were inconsistent) and inability to control the environment changes in one place.
The client needed to strengthen collaboration within the data scientists team by moving research capabilities into cloud workloads. Besides, they wanted to automate and unify the deployment process of AWS resources. That, in turn, would decrease the time and effort required for a team of data scientists to build and test their models.
Initially, the client’s development team performed continuous integration and continuous deployment processes manually. Consequently, it was time- and effort-consuming to build cross-platform mobile applications. Besides, they used the legacy tools stack – that doesn’t have built-in mobile-specific continuous integration and deployment capabilities.
We are cloud native company who visions cloud computing as the home for tech products. Our team of top-notch engineers specialize in Cloud solutions, we develop scalable cloud native applications, provide DevOps services which facilitate innovations and allow release products faster, build reliable and secure cloud infrastructure for our clients from the US and Europe.
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