Best Container Orchestration Software for Kubernetes - Page 2

Transform your Kubernetes autoscaling from a reactive approach to a proactive one with PredictKube, enabling you to initiate autoscaling processes ahead of anticipated load increases through our advanced AI predictions. By leveraging data over a two-week period, our AI model generates accurate forecasts that facilitate timely autoscaling decisions. The innovative predictive KEDA scaler, known as PredictKube, streamlines the autoscaling process, reducing the need for tedious manual configurations and enhancing overall performance. Crafted using cutting-edge Kubernetes and AI technologies, our KEDA scaler allows you to input data for more than a week and achieve proactive autoscaling with a forward-looking capacity of up to six hours based on AI-derived insights. The optimal scaling moments are identified by our trained AI, which meticulously examines your historical data and can incorporate various custom and public business metrics that influence traffic fluctuations. Furthermore, we offer free API access, ensuring that all users can utilize essential features for effective autoscaling. This combination of predictive capabilities and ease of use is designed to empower your Kubernetes management and enhance system efficiency.

No expertise required! Our Kubernetes Management platform allows you to create clusters in minutes. Every feature of our platform has been designed to automate DevOps. We ensure that every component is tightly interconnected by building everything from scratch. This allows us to achieve the best performance and reduce complexity. Syself Autopilot supports declarative configurations. This is an approach where configuration files are used to define the desired states of your infrastructure and application. Instead of issuing commands that change the current state, the system will automatically make the necessary adjustments in order to achieve the desired state.

Enhanced operators for enterprise applications feature a comprehensive application graph and declarative integration that caters to both Kubernetes environments and legacy systems. Through Juju operator integration, we can simplify each operator, enabling their composition to form intricate application graph topologies that handle complex scenarios while providing a user-friendly experience with significantly reduced YAML requirements. The UNIX principle of ‘doing one thing well’ is equally applicable in the realm of large-scale operational code, yielding similar advantages in clarity and reusability. The charm of small-scale design is evident here: Juju empowers organizations to implement the operator pattern across their entire infrastructure, including older applications. Model-driven operations lead to substantial savings in maintenance and operational expenses for traditional workloads, all without necessitating a shift to Kubernetes. Once integrated with Juju, legacy applications also gain the ability to operate across multiple cloud environments. Furthermore, the Juju Operator Lifecycle Manager (OLM) uniquely accommodates both containerized and machine-based applications, ensuring smooth interoperability between the two. This innovative approach allows for a more cohesive and efficient management of diverse application ecosystems.

You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications.

The need to choose between the ease of a graphical user interface and the robustness of infrastructure as code is now a thing of the past. With Kubestack, you can effortlessly create your Kubernetes platform using an intuitive graphical user interface and subsequently export your tailored stack into Terraform code, ensuring dependable provisioning and ongoing operational sustainability. Platforms built with Kubestack Cloud are transitioned into a Terraform root module grounded in the Kubestack framework. All components of this framework are open-source, significantly reducing long-term maintenance burdens while facilitating continuous enhancements. You can implement a proven pull-request and peer-review workflow to streamline change management within your team. By minimizing the amount of custom infrastructure code required, you can effectively lessen the long-term maintenance workload, allowing your team to focus on innovation and growth. This approach ultimately leads to increased efficiency and collaboration among team members, fostering a more productive development environment.