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Paying extra to cover potential traffic needs can lead to inefficiencies.
When infrastructure overloads, users can't access your service, resulting in traffic loss.
Keep your infrastructure transparent and manageable to prevent inefficiencies and errors.
We made our Kubernetes autoscaling tool using top-notch AI and k8s technologies:
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Thanks to the efforts of the Dysnix team, the company was able to attract the attention of the general public. The currency is stable while maintaining the necessary flexibility with the support of experts in the industry. The team has proven itself to be a reliable long-term partner.
In the first stage of their optimization plan alone, Dysnix managed to reduce infrastructure costs by 25%. They provide remarkable response times, which allows them to react to unforeseen situations. This makes them ideal for handling urgent tasks.Roman Cherednik, Velas
Dysnix contributed to the successful release of the company's product. They performed a custom auto-scaling solution to reduce the project's costs. The company now has the opportunity to earn a higher income and at the same time increase its likeability with speed and security as main offers.
Dysnix provided a team of Blockchain experts that was always available to assist the client. They finished a product that presented new features in the company's digital asset exchange. As a result, the company now considers their deep involvement as an extension of their own team.
Thanks to the efforts of the Dysnix team, the company was able to attract the attention of the general public. The currency is stable while maintaining the necessary flexibility with the support of experts in the industry. The team has proven itself to be a reliable long-term partner.
In the first stage of their optimization plan alone, Dysnix managed to reduce infrastructure costs by 25%. They provide remarkable response times, which allows them to react to unforeseen situations. This makes them ideal for handling urgent tasks.Roman Cherednik, Velas
Dysnix contributed to the successful release of the company's product. They performed a custom auto-scaling solution to reduce the project's costs. The company now has the opportunity to earn a higher income and at the same time increase its likeability with speed and security as main offers.
Dysnix provided a team of Blockchain experts that was always available to assist the client. They finished a product that presented new features in the company's crypto-asset exchange. As a result, the company now considers their deep involvement as an extension of their own team.
Kubernetes autoscaling automatically adjusts the number of pods, nodes, or resources in a K8s cluster based on real-time demand and metrics. It works to optimize resource utilization, ensure high availability, and reduce costs by scaling up during high demand and down during low usage periods.
PredictKube, an AI-based Kubernetes autoscaler, is an advanced tool that uses a trained AI model to dynamically predict and scale K8s clusters proactively, even before the demand, based on historical data and metrics. For blockchain nodes, the autoscaler can automatically adjust the number of nodes in response to fluctuating workloads, ensuring optimal performance and resource utilization, considering the time infrastructure needs to launch the needed set of nodes.
Unlike traditional autoscalers, which typically rely on predefined rules or reactive triggers (like CPU or memory thresholds), AI-based solutions like PredictKube anticipate traffic spikes and scale resources ahead of demand, reducing latency and preventing overprovisioning.
This predictive approach allows for more efficient resource utilization, minimizes costs, and enhances the resilience of applications by preemptively addressing potential load changes and failures.
The AI-based K8s Autoscaler is ideal for:
There are three primary autoscaling mechanisms in this context:
PredictKube supports a variety of blockchain networks by providing predictive scaling capabilities based on real-time data and traffic patterns. These networks include Polkadot, Avalanche, Cardano, Velas, Solana, Klaytn, Tron, Cronos, Fantom, and Optimism. The supported network list is expanding, so check the official website for more information.
First, ensure the autoscaler and its components, such as KEDA and Prometheus, are securely configured to prevent unauthorized access and potential data leaks.
The AI model used for predictive scaling may require access to sensitive performance metrics, so it's essential to protect this data in transit and at rest using encryption and secure API management.
Implementing robust authentication and authorization controls is crucial to restrict who can modify autoscaler configurations or access blockchain node metrics.
Additionally, regular auditing and monitoring of PredictKube’s actions can help detect any unusual behavior that might indicate a security breach or misconfiguration, thereby maintaining the integrity and availability of the blockchain network.
