Automated Kubernetes Optimization

Reduce Kubernetes costs by up to 80%, ensure SLAs and save precious DevOps time from repeated manual configurations

Automated Kubernetes Optimization

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  • Frees DevOps from repetitive configurations

    Eliminate repeated ongoing resource configurations cycles.

  • Pay Only for What You Save

    Reduce Kubernetes costs by up to 90% – instant return on investment

  • All-in-One Platform

    Single platform to optimize all Kubernetes containers and any resource kind.

Kubernetes Workload Optimization Process:

  • Elastic Pod Rightsizing

    The comprehensive approach to rightsize your pods. Get recommendations and include autonomous pod rightsizing by updating resources in-place to ensure that your resource requests and limits are optimized according to your needs.

  • Goal-Driven Horizontal Scaling

    Analyze, predict, and align scaling triggers with your business KPIs, enabling you to scale just-in-time. We proactively ensure that your custom goal metrics are achieved by aligning your KEDA and HPA triggers with them.

  • Node Headroom

    Our solution ensures that your Kubernetes cluster is always prepared for rapid scale-up events, preventing your pods from waiting for new nodes to be provisioned and improving your latency. Our node headroom optimization can be integrated with any of the cluster auto-scalers.

  • Container-Based Scaling Policies

    Set workload-based policies that are tailored to the specific needs and criticality of each workload. Get flexibility to define resource allocation behavior, set up auto-remediation, create scale-to-zero policies, and schedule periodical resource allocation according to your requirements.

Case Study: How IronScales Reduced K8 Costs by 21%

Case Study: How IronScales Reduced K8 Costs by 21%

Stay Cloud-to-Date

The world of cloud changes quickly.
Stay up-to-date with the latest trends & innovation, extensively explored in our resource library.

  • Automated Kubernetes Optimization
    How IronScales Reduced K8 Costs by 21% With Automatic Pod Rightsizing

    IronScales and GlobalDots collaboration cut K8s costs by 21% and minimized SLA breaches with automated optimization

  • Automated Kubernetes Optimization
    FinOps for Kubernetes: How to Reduce Costs in K8s Environments

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  • FinOps
    Cut Big Data Costs by 23%: 7 Key Practices

    In this webinar, we reveal a solution that cuts big data costs by 23% and enhances system efficiency – without changing a single line of code. We’ll also explore 7 key practices that will free your engineers to process and analyze data at the pace and scale they need – and ensure they never lose control of the process.

  • Cloud Cost Optimization
    Cloud Cost Optimization: The Definitive Guide to Reduce Cloud Spend

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    Project FOCUS: A New Age of FinOps Visibility

    It’s easy for managers and team leaders to get caught up in the cultural scrum of FinOps. Hobbling many FinOps projects, however, is a lack of on-the-ground support for the DevOps teams that are having to drive this widespread change – this is how all too many FinOps projects become abandoned on the meeting room […]

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    Optimize Your Cloud Spend with a FinOps Maturity Assessment

    Achieving FinOps is a tall order: it demands a degree of organizational self-awareness that some companies are constantly battling for. Consider the predicament that many teams find themselves in: while their cloud environments may contain a number of small things that could be optimized, there are no single glaring mistakes that are consuming massive quantities […]

  • Cloud Cost Optimization
    Efficient Cluster Management

    Developers and DevOps teams, it’s time to make Kubernetes simple, efficient, and easy to manage. Download our comprehensive guide to efficient cluster management to learn how to turn Kubernetes into a well-oiled machine. This guide offers: Save DevOps time, optimize costs, and finally unlock Kubernetes agility and efficiency. Download your free copy now and immediately upgrade […]

  • Cloud Block Storage
    How One AI-Driven Media Platform Cut EBS Costs for AWS ASGs by 48%

    Optimizing cloud costs through the strategic use of a multi-cloud auto-scaler

  • Cloud Cost Optimization
    3 IT Infrastructure Costs Increasing in 2024:

    As we navigate through the evolving landscape of IT infrastructure, a closer look at the cost trends for 2024 reveals significant shifts. From cloud expenses feeling the pressure of economic changes. With global cloud spending expected to hit over $1 trillion and various sectors facing unique challenges, staying informed is more crucial than ever.  Dive […]

  • Cloud Cost Optimization
    8 FinOps Best Practices for Cutting Cloud Costs

    The cloud used to be viewed as a place of significant cost savings: rather than purchasing and maintaining dozens of server stacks, organizations could outsource this and purchase compute power on an as-needed basis. In the ensuing rush to cloud architecture, however, many companies simply lifted-and-shifted their old financial bad habits. The sheer speed of […]

  • Cloud Cost Optimization
    How FinOps Capabilities Can Unlock Your Cloud Cost Goals

    Cloud computing has transformed more than individual app architectures: it’s granted both start-ups and market leaders an equal platform for innovation. New products are no longer dependent upon complex revenue-draining in-house server stacks. Instead, cloud-native disruptors such as Uber and Airbnb have been able to harness the once-unthinkable degrees of agility, scalability, and cost-efficiency that […]

  • Cloud Cost Optimization
    How to Choose a Third-Party FinOps Solution

    Cloud providers are becoming increasingly aware of their customers’ chronic overspending. To combat this, major industry players such as AWS and Azure are offering FinOps tools in the form of inbuilt cost dashboards and paying to become a member of the FinOps Foundation. While their native FinOps tools can offer an initial window into the […]

  • Cloud Cost Optimization
    Optimize Block Storage: Cut Costs by 46%

    Block Storage… Often an afterthought, yet crucial. Typically, we estimate our needs and triple them to avoid midnight ‘out-of-disk’ crises. But what if there’s a better, more economical approach? Join our webinar, hosted by Steven Puddephatt, Senior Solutions Engineer at Globaldots, with guest Nitin Bhadauria, Co-Founder at Lucidity to Explore a smarter way to cut […]

Kubernetes Resource Management Platform

We at GlobalDots, are always on the hunt for new innovative solutions. Our FinOps comprehensive offering is based only on high impact solutions by industry leaders and new cutting-edge startups, risk free- committed to cut your cloud costs while adding relevant solutions to your tech stack, paid only from your positive savings, while reducing complexity and operational resources.


  • What is Kubernetes optimization?

    Kubernetes optimization involves several strategies to enhance efficiency and reduce costs within Kubernetes clusters. This includes rightsizing pods to match resource requirements more accurately, rebalancing nodes to ensure optimal utilization, and leveraging spot instances for cost savings. By implementing these practices, organizations can maximize resource utilization, minimize wasted capacity, and achieve significant cost reductions in their Kubernetes environments.

  • How do I make Kubernetes faster?

    Optimizing Kubernetes pods involves several key strategies to ensure efficient resource usage and cost-effectiveness within the cluster. Firstly, organizations can utilize automation tools to analyze pod resource requirements and rightsize them accordingly, ensuring that each pod receives the appropriate amount of CPU and memory. Additionally, automation tools can monitor pod utilization and scale resources dynamically based on demand helps to prevent over-provisioning and optimize resource allocation. Nodes within the cluster can be rebalanced to distribute workloads evenly, maximizing node utilization and minimizing idle resources. Furthermore, leveraging spot instances through automation can significantly reduce costs by taking advantage of unused capacity while maintaining reliability and availability. Overall, a combination of rightsizing, dynamic scaling, node rebalancing, and spot instance utilization, facilitated by automation tools, enables organizations to optimize Kubernetes pods for efficiency and cost savings.

  • How do you optimize Kubernetes resources?

    Optimizing Kubernetes resources involves leveraging automation tools to analyze performance metrics and rightsize pod requests based on actual usage, ensuring efficient resource utilization. Pods are placed strategically across nodes to balance workloads effectively, maximizing node utilization and maintaining cluster health. Additionally, benchmarking different instance types helps identify the most cost-effective options for running Kubernetes workloads, further optimizing resource allocation and minimizing costs.

  • How do you optimize Kubernetes costs?

    Optimizing Kubernetes costs involves implementing a combination of strategies facilitated by automation tools. Firstly, rightsizing pods based on actual resource usage ensures efficient allocation and minimizes wasted capacity. Secondly, strategically placing pods across nodes balances workloads, maximizing node utilization and minimizing idle resources. Additionally, leveraging spot instances and benchmarking different instance types helps identify the most cost-effective options, further reducing overall Kubernetes expenses.

  • What architecture automatically optimizes for cost in Kubernetes?

    An architecture that automatically optimizes for cost in Kubernetes typically involves a combination of tools and practices. These may include:

    1. *Auto-scaling*: Automatically adjusting the number of pods based on workload demand to avoid over-provisioning and reduce costs during low-traffic periods.
    2. *Rightsizing*: Dynamically adjusting resource requests and limits for pods based on actual usage to avoid overallocation of resources and optimize cost.
    3. *Spot instances*: Leveraging spot instances or preemptible VMs for non-critical workloads, which can significantly reduce costs compared to on-demand instances.
    4. *Cost monitoring and optimization tools*: Implementing tools that continuously monitor resource usage and provide insights into cost optimization opportunities, helping organizations make informed decisions to minimize Kubernetes expenses.