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StackBooster is App and Node automation that ensures the peak performance with 80% cost reduction.
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As the first Node and Pod autoscaler, Stackbooster actively adds and removes right-sized workers to optimize cluster efficiency, going beyond simply addressing pending pods.
Pods are right-sized in real-time, ensuring they receive resources precisely when needed, which prevents over-provisioning and conserves resources.
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By choosing the best price-driven workers instead of just the smallest, Stackbooster enhances cost efficiency.
Achieve a fully operational Kubernetes cluster with just a few clicks, requiring no ongoing maintenance.
Our AI algorithm offers zero-downtime technology for spot instances, ensuring high availability and resilience, minimizing disruptions
By choosing the best price-driven workers instead of just the smallest, Stackbooster enhances cost efficiency.
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Automatically scales AWS workloads by precisely navigating and adjusting resources based on application needs and load behavior, ensuring optimal resource allocation.
Implements intelligent decision-making to select the most appropriate cloud provider instance types during scale-ups, enhancing system dependability.
Operates independently to rightsize AWS workloads, preventing under-utilization and over-provisioning without human intervention.
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Utilizes advanced ML-driven predictions to foresee spot instance terminations, proactively migrating workloads to maintain seamless operations.
Ensures that migrations happen smoothly with zero service interruptions, maintaining high availability and business continuity.
Optimizes cloud spending by leveraging spot instances safely and effectively, reducing overall infrastructure costs.
Enables Kubernetes cluster setups in just two clicks, simplifying the deployment process dramatically.
From start to finish, setting up a fully operational Kubernetes cluster takes mere minutes, drastically reducing setup times.
Designed with all skill levels in mind, requiring no prior Kubernetes experience to deploy a cluster
Continuously analyzes and optimizes the placement of workloads to ensure the best infrastructure performance and resource utilization.
Adjusts cluster configurations in real-time as pods are scaled up or down, maintaining optimal operation.
Balances cost savings with performance gains, achieving an ideal cost-to-performance ratio.
Places intercommunicating pods physically closer within the cluster, significantly reducing network latency.
Improves overall cluster performance by minimizing network overhead through intelligent pod placement strategies.
Maximizes the effectiveness of existing hardware, reducing the need for additional resources and lowering costs.
Dynamically adjusts pod sizes based on real-time needs, ensuring efficient use of resources without over-provisioning.
Maintains high performance by matching resource allocation to workload demands, especially during peak hours.
Reduces waste and lowers expenses by preventing unnecessary resource allocation, enhancing overall financial efficiency.
Uses machine learning to guide pod placement decisions, ensuring the most effective utilization of workloads across nodes.
Reduces idle times and maximizes node usage, streamlining operations and cutting costs.
Automatically adjusts resource allocation in response to changing loads, maintaining optimal system performance and availability.
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Enjoy faster deployments with automated scaling and management, ensuring that resources are precisely aligned with demand.
Focus on building features, not managing infrastructure, with self-service capabilities that empower innovation.
Always have the right resources at the right time without manual intervention.
Reduce cloud expenses with intelligent selection of cost-effective resources.
Minimize operational overhead with automated node and pod management.
Maintain high availability with proactive handling of spot instance interruptions.
Dramatically cut costs with AI-driven right-sizing and spot instance management.
Accelerate time to market with efficient resource allocation and reduced downtime.
Scale effortlessly, ensuring that your infrastructure grows with your business needs without compromising performance.
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Stackbooster ensures your applications always have the right resources by intelligently scaling up or down based on real-time demand.
Reduce waste and enhance performance with AI-driven resource allocation.
Our technology anticipates needs and adjusts resources proactively, ensuring your infrastructure never skips a beat.
Maintain high availability with smart handling of Kubernetes operations, even under variable loads.
Minimize costs without compromising on performance by using only the resources you need, when you need them.
Drastically cut down on overhead with automated processes that eliminate the need for extensive manual management.
From setup to scaling, Stackbooster automates every step, turning complex processes into straightforward tasks.
Automation tools and self-service capabilities empower developers to deploy faster and more effectively, boosting productivity and reducing manual overhead.
Security and compliance are integrated into every layer of Stackbooster, ensuring that your operations are protected around the clock.
Smart algorithms adjust resources in real-time, ensuring optimal performance at up to 50% lower costs.
StackBooster is Pod and Node automation that ensures the best performance with 60% cost reduction.
