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Google Cloud Build VS Apache Mesos

Compare Google Cloud Build VS Apache Mesos and see what are their differences

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Google Cloud Build logo Google Cloud Build

A fully managed continuous integration, delivery, & deployment platform that lets you build, test, and deploy in the cloud. Focus on coding by running fast, consistent, reliable automated builds.

Apache Mesos logo Apache Mesos

Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.
  • Google Cloud Build Landing page
    Landing page //
    2023-09-14
  • Apache Mesos Landing page
    Landing page //
    2018-09-30

Google Cloud Build features and specs

  • Scalability
    Google Cloud Build allows you to scale your build workloads seamlessly. It can handle a large number of concurrent builds without compromising performance, making it suitable for organizations with varying build demands.
  • Integration
    It integrates well with other Google Cloud services and third-party tools, facilitating a streamlined development workflow. This integration capabilities enhance productivity by allowing developers to leverage existing tools.
  • Security
    Google Cloud Build provides robust security features, including encrypted storage of build artifacts, ensuring that your build processes and outputs are secure.
  • Customization
    With support for custom build steps and triggers, users can tailor their CI/CD pipeline according to their specific needs, offering a high degree of flexibility.
  • Pricing
    The service offers a free tier which makes it accessible for small projects or startups, and the pay-as-you-go model ensures that you only pay for the resources you use.

Possible disadvantages of Google Cloud Build

  • Complex Onboarding
    New users may find the initial setup and learning curve steep, especially if they are not already familiar with Google Cloud Platform or CI/CD concepts.
  • Cost Management
    While it offers competitive pricing, managing costs can become complex as usage scales up, particularly if builds are not optimized for efficiency.
  • Limited Non-Google Integration
    Although integrations with Google Cloud services are robust, integration with non-Google tools and services might not be as seamless, potentially leading to compatibility issues.
  • Regional Availability
    Build execution locations might be limited to certain regions, which can impact build times and performance for globally distributed teams.
  • UI Complexity
    Some users report that the UI can be complex and not as intuitive as other CI/CD tools, which might impact the user experience especially for new users.

Apache Mesos features and specs

  • Scalability
    Apache Mesos is designed to scale to thousands of nodes, making it ideal for large-scale distributed systems.
  • Resource Isolation
    Mesos uses containerization techniques (like Docker and Mesos containers) to provide resource isolation, ensuring applications run in their own secure environments.
  • Fault Tolerance
    The framework is built with fault tolerance in mind. It continuously monitors the health of all nodes and can move tasks from failing nodes to healthy ones.
  • Multi-Framework Support
    Mesos can manage multiple types of workloads through different frameworks like Apache Spark, Apache Hadoop, and Kubernetes simultaneously on the same cluster.
  • Resource Efficient
    It provides fine-grained resource allocation, allowing multiple applications to share a single cluster, which leads to more efficient resource utilization.

Possible disadvantages of Apache Mesos

  • Steep Learning Curve
    Setting up and managing a Mesos cluster can be complex and requires a thorough understanding of the framework and its components.
  • Operational Complexity
    Mesos requires additional components like Marathon (for container orchestration) which adds to the operational overhead.
  • Maturity
    While Mesos is a robust system, it may not be as mature or feature-rich as some cloud-native solutions like Kubernetes, which have seen wider adoption.
  • Community Support
    As Mesos is somewhat overshadowed by Kubernetes, it has a smaller community and fewer third-party integrations compared to more popular orchestration tools.
  • Ecosystem Integration
    Many new-age DevOps tools and CI/CD pipelines are primarily designed with Kubernetes in mind, which might result in limited integration capabilities with Mesos.

Analysis of Apache Mesos

Overall verdict

  • Apache Mesos is a strong choice for organizations looking for a scalable and flexible resource management system, especially if they have diverse workloads that require efficient orchestration. However, its complexity might pose a challenge for smaller teams or use cases that do not require such extensive features.

Why this product is good

  • Apache Mesos is known for its ability to abstract the entire data center into a single pool of resources, thus simplifying resource management and allocation for distributed systems. It allows for efficient sharing of resources across different applications and offers strong support for container orchestration, microservices, and big data applications. Mesos is highly adaptable and can work with a variety of different workload types, making it suitable for diverse environments.

Recommended for

  • Large organizations with complex infrastructure needs.
  • Teams that require high scalability and flexibility.
  • Projects that involve big data frameworks like Apache Spark or Hadoop.
  • Development environments necessitating custom resource scheduling.

Google Cloud Build videos

+ Add

[Full Workshop] Build a Multi-Step Google Cloud Build Pipeline from Scratch!

Apache Mesos videos

+ Add

Reactive Stream Processing Using Apache Mesos

Category Popularity

0-100% (relative to Google Cloud Build and Apache Mesos)

Google Cloud Build

Apache Mesos

Continuous Integration
100 100%
Continuous Integration
0% 0
Developer Tools
21 21%
Developer Tools
79% 79
DevOps Tools
29 29%
DevOps Tools
71% 71
Containers As A Service
0 0%
Containers As A Service
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Build and Apache Mesos

Google Cloud Build Reviews

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Apache Mesos Reviews

Docker Alternatives
Another Docker alternative is Apache Mesos. This tool is designed to leverage the features of modern kernels in order to carry out functions like resource isolation, prioritization, limiting & accounting. These functions are generally carried out by groups in the Linux or zones in the Solaris. What Mesos does is, it provides isolation for the Memory, I/O devices, file...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Google Cloud Build should be more popular than Apache Mesos. It has been mentiond 17 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Cloud Build mentions (17)

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Apache Mesos mentions (11)

  • Erlang's not about lightweight processes and message passing
    Erlang, OTP, and the BEAM offer much more than just behaviours. The VM is similar to a virtual kernel with supervisor, isolated processes, and distributed mode that treats multiple (physical or virtual) machines as a single pool of resources. OTP provides numerous useful modes, such as Mnesia (database) and atomic counters/ETS tables (for caching), among others. The runtime also supports bytecode hot-reloading, a... - Source: Hacker News / about 2 months ago
  • Kubernetes Simplified: A Comprehensive Introduction for Beginners
    Apache Mesos, a robust cluster manager, excels at handling diverse workloads beyond just containers, offering flexibility for organizations with varying needs. - Source: dev.to / 10 months ago
  • Containers Orchestration and Kubernetes
    Even though this article will be focused on Kubernetes I want to mention that there are multiple container orchestration platforms such as Mesos, Docker Swarm, OpenShift, Rancher, Hashicorp Nomad, etc. - Source: dev.to / 12 months ago
  • eBPF, sidecars, and the future of the service mesh
    I worked at several Bay Area startups, mainly in NLP and machine learning roles. I was part of a company called PowerSet, which was building a natural language processing engine and was acquired by Microsoft. I then joined Twitter in its early days, around 2010, when it had about 200 employees. I started on the AI side but transitioned to infrastructure because I found it more satisfying and challenging. We were... - Source: dev.to / 12 months ago
  • Upgrading Hundreds of Kubernetes Clusters
    When we adopted Kubernetes at Criteo, we encountered initial hurdles. In 2018, Kubernetes operators were still new, and there was internal competition from Mesos. We addressed these challenges by validating Kubernetes performance for our specific needs and building custom Chef recipes, StatefulSet hooks, and startup scripts. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Google Cloud Build and Apache Mesos, you can also consider the following products

AWS CodePipeline - Continuous delivery service for fast and reliable application updates

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

Charity Engine - Charity Engine takes enormous, expensive computing jobs and chops them into 1000s of small pieces...

Data Fabric - Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments.

BOINC - BOINC is an open-source software platform for computing using volunteered resources

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

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