How efficient is your Kubernetes infrastructure?
The questions you should be asking, the answers you need, and how you can get started optimizing today.
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81% of businesses have adopted Kubernetes, but most reported challenges with optimizing their infrastructure.
%
As Kubernetes becomes more ubiquitous, so do its many challenges. Teams are taking steps to address cost, performance, and resource inefficiencies.
We surveyed organizations on their cloud infrastructure and automation processes.
What challenges do teams face in optimizing their Kubernetes infrastructure for cost efficiency?
Over-provisioning of resources
46%
Too many instance /
VM types to keep track of
45%
42%
Complex pricing models
Under-utilization of resources
42%
34%
Cost tracking is manual
1%
Other
We don’t face any challenges optimizing Kubernetes for cost efficiency
8%
Source: Optimizing in a Multi-Cloud World, Dimensional Research, sponsored by Spot by NetApp
Confronting the challenges of Kubernetes optimization
How do I navigate complex pricing models in the cloud?
Cloud providers offer so many pricing models and machine types. How can we leverage those to optimize our budget without risking performance?
The solution: Deploy the ideal blend of spot, on-demand, and existing commitments automatically
Look for a solution that continuously optimizes usage and cost of existing commitments, spot instance and on-demand as fallback, over different availability zones and machine types without sacrificing performance or availability. That solution should automatically provision the most efficient blend of purchase models – including existing commitments and spot instances – to meet the requirements of your application without sacrificing performance or availability.
How can I keep track of Kubernetes costs more effectively?
Most containers are significantly underutilized due to inaccurate and inflated resource requests, resulting in overspending on wasted resources.
The solution: Cost visibility, observability, and control
Look for a solution that provides detailed insights into cloud spending, enabling data-driven decisions and better management of cloud budget with complete and granular visual analysis of Kubernetes infrastructure costs.
How can I avoid wasting money on unutilized resources?
Underutilization of compute due to overprovisioning and inefficient scaling, among other factors, is perhaps the biggest source of cloud waste. Under-utilized resources lead to inefficiency and waste the cloud budget.
The solution: Bin-packing, scale down, headroom, rightsizing
Look for a solution that constantly assesses resource utilization, rapidly scales to respond to changing application needs, and eliminates idle resources to make sure you only consume what your application needs, when it needs it.
How do I keep track of so many different instance types?
Scaling Kubernetes operations in the cloud means operating a large quantity of machines, sometimes over multiple clouds and requires a deep understanding of Kubernetes internals. How can DevOps cover it all effectively?
The solution: Automated provisioning of instance types based on app needs
Choose a solution that covers multiple clouds and can scale with your operations. The ideal solution will relieve engineering teams from the complexity associated with managing cloud Kubernetes resources, allowing them to focus on more valuable activities rather than infrastructure management.
How do I avoid overprovisioning resources?
It is difficult to accurately track and manage costs, allocate shared resources to specific teams or products, or quickly identify and react to anomalies in real-time.
The solution: Automatic rightsizing & rightsizing recommendations
Choose a solution that continuously monitors and predicts utilization and either provides rightsizing recommendations or automatically adjusts resources while ensuring performance is maintained.
How do I avoid overprovisioning resources?
How do I keep track of so many different instance types?
How do I navigate complex pricing models in the cloud?
How can I avoid wasting money on unutilized resources?
How can I keep track of Kubernetes costs more effectively?
Solve the puzzle of Kubernetes challenges with Spot Ocean
Spot Ocean provides the most comprehensive enterprise-grade Kubernetes infrastructure optimization solution. Spot Ocean ensures your cloud-native infrastructure is always balanced for cost, availability, and performance across all major clouds.
Learn how to reduce idle resources in your Kubernetes environment
What you can do with Spot Ocean:
Modernize applications and migrate to Kubernetes
“Using Ocean really helped speed up our migration to Kubernetes and EKS. It saved us from having to configure the whole environment, not to mention how much we save by reliably running on spot instances.”
Lioz Nudel, DevOps Senior Team Lead, Fyber
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Evolve from reactive cloud management to proactive cost optimization and innovation
“Ocean helped improve our overall infrastructure management. It introduced application-driven autoscaling instead of chronic overprovisioning.”
Jijo T. Joy, Senior DevOps Engineer, Porter
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Enable lean DevOps and platform engineering teams through continuous, automated optimization
“One of the most valuable things about Ocean is how hands-off it is once you set it up. It just works automatically, and it reduces a significant amount of overhead for our engineering team. Once we set up a cluster using Spot, it really didn’t require much from us. The more we don’t think about it the better it is. As long as infrastructure is invisible, everyone is happy.”
Vikramaditya M., Architect, Cult.fit
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Increase business growth and advance your FinOps journey
“Ocean helped us implement optimization across the board. It provided us with seamless scaling of our main platform compute. We were able to migrate most of our workloads to spot instances and therefore save greatly on our OpEx. Bringing Ocean in, our rework of Kubernetes brought the costs down by about 70%. On top of that, it allowed us to engineer for failure, bringing more resiliency to our systems.”
Matthieu Antoine, staff systems development engineer, JUMO
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