Kubernetes Exodus Explored: Challenges, Future, and Alternatives

Oleksandr Liubushyn
VP OF TECHNOLOGY
Alina Ampilogova
COMMUNICATIONS MANAGER

The shift from Kubernetes (K8s) has been quiet but far from unnoticeable. Several large organizations, like Gitpod, have been reported to move away from this container orchestration platform. Furthermore, such impactful enterprises as Netflix and Spotify are planning to abandon Kubernetes. Considering that Kubernetes has been a standard since going open source in 2014, this is a major shift. So, what is causing it? How real is the prospect of K8s’ dominance coming to an end?

This article explores the reasons and patterns behind the shift from Kubernetes, examines Kubernetes alternatives, and outlines the potential future of the platform.

What is Kubernetes?

Developed by Google, Kubernetes is management software for deploying and orchestrating containerized apps—applications that run within isolated code environments (“containers”). Kubernetes has been the leading container orchestration tool, with 96% of enterprises leveraging the platform in production. 

Kubernetes architecture

Control plane
  • API server: The front-end component that creates, configures, and transmits Kubernetes cluster data. The API server also receives, evaluates, and processes user requests.
  • K8s scheduler: Covers monitoring and management of new pods. Assigns new pods to a node.
  • Controller manager: Responds for monitoring cluster state, administering changes when necessary.
  • etcd: Distributed, key-value storage system for preserving and managing critical information.
Cluster
  • Pods: Consist of one or several containers that are placed in one node.  
  • NODE: A physical or virtual machine for container deployment. 

Why did Kubernetes become so popular? 

Technically, it was the first tool that significantly simplified developers’ work with containerized apps by introducing several game-changing features: 

  • Self-healing
    Kubernetes automates app health monitoring and failure recovery, relieving developers from the heavy workload of maintaining clusters. Configurable probes check various states of an application and restart pods when failures occur.

Kubernetes probe types

Probe
Function
Configuration type
Liveness

Assess the functionality and performance of an application

  • Commands 
  • HTTP  
  • TCP 
Readiness

Evaluates the app’s ability to respond to requests.  

  • Commands 
  • HTTP  
  • TCP 
Startup

Checks if the application initialized properly, which is particularly important for apps that take a long time to start up.  

  • Commands 
  • HTTP  
  • TCP 

  • Autoscaling
    Kubernetes streamlines cluster management and reduces manual workload through automation features for resource optimization and allocation. Different autoscaling levels—HPA, VPA, Cluster Autoscaler, and KEDA—offer cost optimization and efficiency. 
HPA (Horizonal Pod Autoscaler) 
  • Observes pod metrics through an external source or a Kubernetes server 
  • Scales pods according to the resource usage threshold  
  • Keeps apps able to work in fluctuating workloads  
  • Performs well with stateless apps 
  • Allows for dynamic resource optimization 
VPA (Vertical Pod Autoscaler) 
  • Manages pods resource allocation via historic pod resource usage analysis 
  • Makes it possible to adjust resources for individual pods 
  • Automatically updates pod resource limits if necessary 
  • Keeps CPU and memory resources available  
  • Eliminates the need for manual configuration 
Cluster Autoscaler
  • Checks on pods that got scheduled due to lack of needed resources 
  • Saves costs by removing nodes that aren’t in active use  
  • Equips pending pods with new nodes 
  • Synergizes well with VPA and HPA 
KEDA (Kubernetes Event-Driven Autoscaler) 
  • Aligns workloads with the event-driven metrics 
  • Preserve resources during quiet periods 
  • Enables dynamic, real-time scaling 
  • Works with a wide range of event sources 

  • Portability 
    Kubernetes provides flexibility and avoids vendor lock-in. Its compatibility with private and public cloud infrastructure simplifies cloud migration and enables faster movement of containerized apps between systems. 

These benefits explain Kubernetes’ dominance in the container orchestration market. As an open-source tool, it also benefits from a creative community and an ample ecosystem that keeps it innovative and relevant. 

However, if Kubernetes has been so successful, why are enterprises leaving it? And are they leaving it? 

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Kubernetes exodus: What’s going on?

Kubernetes made waves across the developer community 10 years ago, but technology evolves. With AI and ML emerging and new digital transformation demands, many organizations are reconsidering Kubernetes for cloud development environments. 

  • Gitpod (now Ona) has been a dedicated Kubernetes user for six years, announced its shift from the platform in 2024. The company explained its decision by stating Kubernetes' incompatibility with their process of building development environments.  
  • Amazon has been suspected to quietly move away not just from Kubernetes, but cloud in general. These suspicions are fueled by the slowing AWS growth, Amazon’s greater focus on AI and hybrid models.  
  • GEICO publicly declared its repatriation of workload from cloud to on-premise, which allowed it to save over $300 million annually.  

These are just a few, but the most visible examples of Kubernetes exodus are observed across the business landscape. What is noteworthy, all leaders who made the switch or a considering other options cite the same issues when explaining their choice: 

  • General complexity 
    Despite its numerous advantages and manual process reduction capabilities, Kubernetes is far from simple. Implementing Kubernetes requires the knowledge of all its infrastructure, APIs servers, policies, managers, schedulers, storage systems (etcd). This a difficult tasks all by itself, but it grows even more challenging when scaling and management come into play.  
     
    The abundance of open-source tools and solutions doesn’t offer any tangible relief – quite the opposite, it contributes to Kubernetes growing more customizable and complex. Additionally, the more complex an architecture is, the harder it is to adapt when building environments. For example, working with Kubernetes revealed several issues: 
CPU Spikes
  • Complications with sharing CPU power between environments 
  • Constant lags and delays due to the lack of CPU power 
Storage functionality
  • Slow and inefficient Persistent Volume Claims (PVC) 
  • Inability to make fast SSDs available beyond specifc nodes 
Memory management
  • Frequent OOM (out-of-memory) instances  
  • Process termination soon after memory runs out 
Slow stateful autoscaling
  • Incompatibility with stateful apps 
  • Low scaling speed 

Considering that modern development environments are very fast-paced and rely on functionality and high-quality performance, any sort of delay or memory hiccup impacts the entire development cycle.   

  • Underlying costs
    Aside from its complexity, Kubernetes is quite costly. In 2023, it was estimated that a standard Kubernetes cluster consumed billions worth of CPU and memory resources. In 2025, 88% of companies operating with K8 reported that the ownership price had increased in a mere year. There are also unforeseen expenses – such as waste of resources in case of a poorly tuned K8 infrastructure or having to hire specifically trained DevOps teams for proper fine-tuning. 
Let’s also not forget the time wasted on maintaining clusters and dealing with overprovisioning issues. Development teams often operate on a tight schedule – and whenever they need to take a step back to fix a problem instead of moving forward, this adds to unplanned budget spending.

  • Security vulnerabilities
    One might associate containerized apps with security – but this assumption would be wrong. The platform is prone to security risks: four major ones were recently outlined by Wiz for Kubernetes Ingress NGINX Controller. By using these exploits, malicious actors can run commands remotely and thus overtake Kubernetes clusters, accessing sensitive and private business data. According to Wiz calculations, at least 42% of cloud environments were at risk of such attacks unless they patch their controllers immediately. 

    These problems are the result of long-standing issues contributing to Kubernetes vulnerability: 
Broad attack surface 

Pods can communicate with each other and, therefore, one compromised pod can compromise the entire cluster. 

Permissive access controls 

Many different users can perform critical actions or make changes, which can lead to third-party access controls unnoticed.  

Poor visibility 

Lack of tools and mechanisms for monitoring, tracking, and managing user activity in the system. 

Frequent misconfigurations 

Performance issues that lead to private Kubernetes components getting exposed to public internet.  

Unnecessary pod privileges 

Some pods have unneeded root access that leaves the system open to manipulation or malware installation. 

Ultimately, the reason why companies abandon Kubernetes and look for Kubernetes alternatives boils down to simplicity. In the era where every second counts, where executives are encouraged to waste fewer resources and get more results, Kubernetes is too complex and too cumbersome to meet that demand.  

Moreover, it’s much harder to change and adapt – which is why some organizations prefer to explore other options. 

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 Kubernetes alternatives: What are enterprises switching to?

So, when Kubernetes can no longer provide what companies are looking for, what are the Kubernetes alternatives? 

Currently, the market provides a range of various solutions that serve as alternatives for Kubernetes. However, given that enterprises lacked flexibility and simplicity with K8, these options are more agile, so each option comes tailored for specific purpose and business objectives. Due to this, it makes sense to break these options down depending on the scenario.  

1) Kubernetes alternatives for simpler orchestration

Container orchestration remains a convenient and functional capability for many companies – but not everyone has the experts, tools, or time needed to work with the complicated K8 architecture. Modern alternatives to Kubernetes, such as Nomad (Hashicorp), Docker Swarm (Mirantis Support), and Cycle.io are designed to tackle this need by providing all the necessary containerization functionality minus the high learning curve and complexity.  

Name
Strengths
Weak points
Nomad
  • Fast and simple to deploy 
  • Works across regions 
  • Fits diverse workloads (container and non-container ones) 
  • Limited environment control 
  • Low component visibility 
  • Risk of vendor lock-in 
Docker Swarm 
  • Intuitive learning 
  • Good fit for small teams 
  • Streamlined networking 
  • Doesn’t fit sophisticated apps 
  • Read-only system file access 
Cycle.io
  • Supports on-prem and cloud environments 
  • Low operational complexity 
  • Compliant with data locality requirements t
  • Doesn’t fit high-traffic apps 
  • Limited access to infrastructure 
  • Challenging platform migration 

2) Kubernetes alternatives for dynamic workloads

Not all companies need potent compute resources all the time. When the demand for high workloads is periodical or even seasonal, organizations that use K8 end up overpaying for idle capacity, which is less than desirable in the “do less with more” world. For that reason, major cloud service vendors such as Microsoft Azure, AWS, and Google Cloud Platform stepped forward with new alternatives for Kubernetes. These alternatives operate on the function-as-a-service (FaaS) basis, enabling businesses to scale efficiently, paying only for the capacity they need right now.  

Microsoft Azure
AWS
Google Cloud Platform
Azure Container Instances
AWS Elastic Container Services
Google Cloud Run
Strengths
  • Fast and simple to deploy 
  • Works across regions 
  • Fits diverse workloads (container and non-container ones) 

Strengths

  • Advanced security 
  • Facilitated management 
  • In-depth AWS integration 

Strengths

  • Instant auto-scaling
  • Intuitive CI/CD integration
  • Easy deployment
Weak points
  • Fewer orchestration capabilities 
  • Azure-exclusive service 
  • Lack of auto-scaling 

Weak points

  • Limited to AWS environments only 
  • Risk of vendor lock-in 
  • Fewer cross-cloud functionality

Weak points

  • Exclusive to stateless workloads
  • GCP exclusive
  • Limited to HTTP(S) request

3) Kubernetes alternatives for optimal development velocity

To commit to the product fully, development teams need all the time available until the deadline. Therefore, every minute spent on managing clusters and fixing errors adds to the time taken away from the project that matters – not to mention that every tedious task chips at the teams’ mental resources. This is why AWS and Google offer platform-as-a-service (PaaS) alternatives to Kubernetes – AWS Elastic Beanstalk and Google App Engine. These and other Kubernetes dashboard alternatives like Heroku are designed to meet the needs of lean teams that need to prototype their product rapidly, without any setbacks. 

Name
Strengths
Weak points
AWS Elastic Beanstalk 
  • Fast and easy deployment 
  • Advanced autoscaling 
  • Automated patch management 
  • Limited environment control 
  • Low component visibility 
  • Risk of vendor lock-in 
Google App Engine 
  • Fast scaling 
  • No need for server management 
  • Customizable environment platform 
  • Doesn’t fit sophisticated apps 
  • Read-only system file access 
Heroku 
  • Focused on developer experiences 
  • Fast deployment 
  • Comes with a marketplace of services 
  • Doesn’t fit high-traffic apps 
  • Limited access to infrastructure 
  • Challenging platform migration 
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Future of Kubernetes: Sunset or rebirth?

If several long-term Kubernetes users are reconsidering their choices and refer to tangible setbacks, does it mean that the platform is approaching the end of its era?  

This question is more complicated than it seems. On the one hand, operational complexity and resource-intensiveness leave CTOs and technology executives uncertain about their continued use of the platform. On the other hand, Kubernetes alternatives haven’t challenged K8’s dominance on the market yet – which indicates they can’t replace Kubernetes entirely. At the same time, new tools and products continue to emerge, pursuing a single goal – cover the pain points K8 was unable to.  

The best way to characterize the current state of Kubernetes would be to say that it was the best available tool. However, it doesn’t mean it was the best fit for any need. Development teams weren’t satisfied with wasting time on cluster management. Enterprises weren’t happy with spending money on resources they didn’t need. Therefore, with alternatives emerging, K8 is transitioning from a dominant platform to a niche one.

So, when enterprises can choose from several Kubernetes alternatives, is there a point in making a switch? To define the right scenario, executives need to check with a decision-making framework.  

Moving from K8: How to make a smooth transition?

If enterprise executives make a decision to move from Kubernetes to Kubernetes alternatives, what should be their first steps? From a professional perspective, there are several important points to consider: 

  • Start with non-critical services
    Organizations should begin with their stateless apps and development environments by identifying them and moving them to any serverless platform. This action will reduce the operational burden for the teams. 


  • Migrate to managed services
    Moving to Google GKE, Azure AKS, or Amazon EKS will help organizations make the switch from self-management to a managed platform, which means that the teams won’t have to shift their focus to security and update management.  

  • Right-size infrastructure
    Adopting Kubernetes alternatives doesn’t imply leaving Kubernetes straight away. Organizations can use several platforms to split their workload. For example, complex services can be run on K8, and less complex alternatives for Kubernetes can handle business logic apps.

If you are rethinking your Kubernetes infrastructure or looking for alternatives that can optimize resources, let’s chat! Whether your goal is to improve your K8 experience or make the most of its alternatives, our vetted teams possess the right skill set for your goals. Starting with a consultation and ending with a detailed road map and realization journey, we will make sure your enterprise infrastructure is up for any task and challenge.  

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