What is firstkube?
- Multiple IT systems are united in one web interface, regardless of deployment model
- Easy deployment, automation and multi-cloud orchestration from one tool
- Central interface for efficient management of complex edge architectures
- Centralised storage of required data and roll-out to all clusters
- Simplified first contact with Kubernetes through management tool with intuitive GUI
- Quick start thanks to simplified deployments with cluster templates
- Monitoring, control and operation in a central interface
- Predefined Kubernetes applications as click-to-deploy
- Central management, debugging, and updating of multiple Kubernetes infrastructures
- Fast setup of RBAC (role-based access control)
- Automatic backups and snapshots at the push of a button
- Make container orchestration controllable through in-depth automation
- Higher cost efficiency through time savings
- Avoid manual intervention in IT systems
- Accelerate application development in every phase (CI/CD)
- Possibility to outsource deployment and management for the best starting conditions
- Reduce setup time and shorten onboarding process
- Rapid deployment of plug-ins and clusters on demand via firstcolo managed services
- Customised managed services and flexibility in all service levels
firstkube by firstcolo
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For whom is firstkube a good fit?
firstkube is suitable for any software development team that already uses or would like to use a containerised deployment model for their application development in the future. This is particularly interesting for software-as-a-service providers who create cloud products that are made available internally or externally.
firstkube is ideally suited for users who rely on a modern and clustered MACH architecture (microservices, API-first, cloud-native, headless). This type of architecture is particularly relevant for innovative e-commerce companies.
Of course, we also support "container starters" – in other words those users who would like to start with containerisation as quickly as possible but have no expertise or capacity for the initial setup and maintenance of the underlying Kubernetes infrastructure.
- For the most part, our deployments only run manually
- For our customers, we must roll out our software solution both in the cloud and on-premises
- Our software development team cannot focus on development because managing the infrastructure takes up too much time
- An update of my shop leads to downtime and as a result to a loss of sales (opportunity costs)
- Many simultaneous visits lead to performance bottlenecks and worsen the user experience of my customers
- The development of new features and the update cycles take too long
- Our team has no capacity to set up and efficiently manage the infrastructure
- Our team has not yet been able to gain deep expertise with the network and storage classes
- We deploy our containerisation in a hybrid cloud and the deployment model becomes too complex
Our deployment types
Kubernetes is an open-source orchestration system. It enables the automated operation of containers and serves as a platform for the provision and operation of various applications in the containers.
As the name suggests, containers are also a type of box. In such a container an application can be stored in isolation, together with all its dependencies. The result is a so-called container image, which contains the application in its full scope with the smallest possible size. Now the containerised application can be transported very easily and rolled out at different locations. Containers also require fewer computing resources than classic virtual machines and ensure that applications are far more independent of the underlying environment.
Location independence
Since all dependencies of the application are also in the container, the container image can easily be rolled out anywhere. Local deployments are thus replaced, and containers enable a deployment in the cloud.
Efficiency
Different containers are always strictly separated from one another. A container image therefore never has access to the resources of other containers, which in turn improves the efficiency of the underlying computing resources.
Responsiveness
Because a container image is completely devoid of an operating system and its own kernel, it is far more dynamic than other virtual machines, making it even faster to transport and install.
Lightweight
If a container does not function properly or needs to be updated, it can be quickly torn down and, if necessary, rebuilt just as quickly. This feature is ideal for testing new functions.
Flexibility
A container image can serve as an architecture model for existing containers. Running applications can scale even better with the help of this.
Speed
Since each container runs autonomously and as an isolated process, the programme runtime is much lower. The time needed to start and stop applications is thus reduced to a minimum.
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