Mobilise Cloud was one of the first companies in the UK to become Kubernetes Certified Managed Service Providers. That means that we have been personally vetted by the CNCF foundation and identified as a service provider who has deep experience in helping enterprises successfully adopt Kubernetes.
Agile application creation and deployment
Increase development velocity to get your application into production faster.
Monitoring
OS-level information and metrics as well as detailed application performance metrics
Loosely coupled, distributed, elastic, liberated micro-services
Applications are broken into smaller, independent pieces and can be deployed and managed dynamically.
Continuous development, integration, and deployment
Provides for reliable and frequent container image build and deployment with quick and easy rollbacks
Cloud and OS distribution portability
Kubernetes runs on a large number of operating systems allowing it to be ported across cloud providers.
Resource Management
Predictable application performance, high efficiency and density.
DevOps separation of concerns
Create application container images at build/release time rather than at deployment time.
Environmental consistency across development, testing and production
Runs the same on a laptop as it does in the cloud.
Roll out new versions of apps with zero downtime
Kubernetes automatically rolls out containers which can be easily rolled back.
Traditional Deployment
Kubernetes can be traditionally implemented using a set of purpose-built administration tools. This process involves setting the Kubernetes cluster upon a series of servers either on-premises or in a cloud provider of the customers choosing (AWS, Azure, GCP). This solution is highly customisable and offers the most flexibility in terms of integration with existing solutions.
Infrastructure As Code Deployment
Using a series of automation tools such as Terraform, Kubernetes can be deployed using infrastructure as code principle. This means that clusters can be quickly spun up and torn down to save on cloud infrastructure costs. It also means that deployments are easily repeatable so that new cluster environments can be quickly established. There is also the added benefit of having a backup of your Kubernetes configuration should anything go wrong with the cluster.
Cloud Provider Kubernetes Deployment
Customers can take advantage of Cloud Provider Kubernetes Services enabling them to quickly and easily setup clusters to manage their container applications. These services take care of managing the Kubernetes Control Plane so that administrators can concentrate on deployments rather than keeping the cluster healthy.
A selection of these services are also exposed to the cloud providers infrastructure as code offering, meaning deployments can be scripted offering fast, reliable and resilient platforms.
Continuous Integration & Delivery
As a Kubernetes Certified Managed Service Provider, Mobilise are uniquely placed to offer expert consultancy on a wide range of Kubernetes solutions; from building and migrating to your first cluster to integrating with existing DevOps pipelines and support models.
Customers can take advantage of our DevOps Service to enhance their solution by creating a seamless delivery pipeline including automated testing, agile tooling integration and one-click deployments. Our monitoring and alerting stack will provide granular detail of infrastructure and introduce flexible methods of notifying users of problems – including integrating with existing ITIL products.
Docker
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package.
Because of the container, the application will run on any machine regardless of any customised settings that machine might have that could differ from the machine used for writing and testing the code. The container approach also allows developers to run applications written in Docker on serverless platforms such as AWS Lambda.
Docker Containers
A container image is a lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings. Available for both Linux and Windows based apps, containerised software will always run the same, regardless of the environment.
Containers isolate software from its surroundings, for example differences between development and staging environments and help reduce conflicts between teams running different software on the same infrastructure.
Cluster management
Cluster management is essential for developers to monitor and manage all the clusters underneath their control successfully. Larger companies that use Kubernetes require multiple groups of programs at different stages. From the first point of research right up to the last moment of the distribution, a cluster is most likely for each step.
If the cluster at one end is mismanaged, then the rest of the process is severely delayed. Good cluster management will work to enhance how quickly an application can be developed. It will also eliminate unnecessary time wastage, and this offers the IT team more time to focus on any errors that come up.
Role-Based Access Control
Role-based control is an efficient programming technique that allows the user to develop and adjust access control. It is much more specific and works to outline the range of interactions that people with access can have. It works for every user that has access, including Google cloud users. It is championed by administrators who receive enterprise-grade security without having a heavy burden on their shoulders to manage. Time management is vital for programmers, and taking security out of the way is advantageous to productivity.
Nodes (Worker nodes)
Pods are the primary vehicle that drives nodes. This is where containers are placed, and it can be both in the cloud or on a hard drive. Whether it be virtual or physical, the decision is given to the user, specific to each cluster. In any given cluster, you will find a varied number of nodes depending on the resources available. Using this service will limit the number of times a node can become overloaded because of the security policies. These will work to prevent nodes from dying through specific balancing protocols.
Azure Active Directory
This feature has been designed by Microsoft and works to offer a business a secure and effective method to be strict and allow their users access to company information or resources. Private information is withheld from those without access through online IDs and passwords. The module also offers a secure route to the recovery of credentials when a user has forgotten a password. Without this service, the administrator would be required to replace the user’s forgotten credentials with new ones. This directory, therefore, is responsible for this entire process.
Hybrid environments
To be more successful in a growing global market, different companies are taking advantage of various cloud managing services’ hybrid environments. Kubernetes Is one of these and provides consumers with the choice on how much data to keep stored on a physical drive and how much to keep stored with Kubernetes. Figuring out this balance for a company provides safety and can free up capital tied up in hardware maintenance.
Load balancers
Load balances work to ensure that the network does not go down and data and information are always readily available. The containers that a company purchases or safely integrated into a pond allowing all data sent back and forth to loop. The advantage here is that you can access more than what your container can handle. Using this method provides consistent results as your hardware is never overloaded. It is a crucial intervention to safeguarding the flow of ideas during app development. At every stage in the production of an app, the user will not lose any data.
Application Workloads
If at any point a node becomes overloaded, then Kubernetes will immediately kill that note. This is regardless of whether the node later becomes balanced again. Kubernetes has, however, included a wide range of safety measures to prevent this from happening.
- Deployment and Replica Set
Open application has not yet taken form then it has a much lighter workload. This means it can be quickly deployed or removed as needed. To manage the workload, such applications are given priority to free up space when there is a potential overload.
- Stateful set.
This option works well to process several pods that are interlinked at the same time. It is useful for improving efficiency and balancing the workload.
- Daemon set.
When dealing with internal access to information, nodes can move faster than when they must travel to another cluster. If the information is available within the cluster, this module will retrieve it rather than seeking it from a separate container.
- Job and Cron job
This module is important because it sets time limits and follows up on completed tasks. This ensures that no unnecessary nodes are running in the background that may lead to an application overload.
Service mesh
Service mesh technology is a tried and tested service that predates Kubernetes Service. It is a significant grouping of various microservices that allow users to do many things without any delay. To achieve such a process, there must be an excellent network. The entire concept of a service mesh is based on how well network resources can handle the traffic passing through. The benefit here comes because this process is automated. For an IT team to manually do this work, there will likely be mistakes and delays. Using this method is more reliable than leaving it up to humans. It is also a very time-consuming process that can feel like a burden to employees, overly reducing job satisfaction.
Security Policies
The security policy for a pod is a resource that is maintained in each cluster. It contains the instructions for what information can be provided in a security sense. These are a specific and well-thought-out batch of conditions that must be met for the processor to distribute any information to a user. There will be administrators in the IT group that manages this cluster, and these people will be responsible for setting these protocols.
