kaniko vs Kubernetes

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kaniko

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Kubernetes

49.8K
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kaniko vs Kubernetes: What are the differences?

kaniko: Build container images in Kubernetes. A tool to build container images from a Dockerfile, inside a container or Kubernetes cluster kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.; Kubernetes: Manage a cluster of Linux containers as a single system to accelerate Dev and simplify Ops. Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

kaniko and Kubernetes belong to "Container Tools" category of the tech stack.

kaniko and Kubernetes are both open source tools. Kubernetes with 55K GitHub stars and 19.1K forks on GitHub appears to be more popular than kaniko with 3.96K GitHub stars and 311 GitHub forks.

Advice on kaniko and Kubernetes

Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?

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Replies (1)
Mortie Torabi
Recommends
Docker SwarmDocker Swarm

If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.

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Decisions about kaniko and Kubernetes
Michael Roberts

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

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Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 29 upvotes · 4.9M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
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Pros of kaniko
Pros of Kubernetes
  • 3
    No need for docker demon
  • 1
    Automation using jules
  • 162
    Leading docker container management solution
  • 126
    Simple and powerful
  • 104
    Open source
  • 75
    Backed by google
  • 56
    The right abstractions
  • 24
    Scale services
  • 19
    Replication controller
  • 10
    Permission managment
  • 7
    Simple
  • 7
    Cheap
  • 7
    Supports autoscaling
  • 4
    Reliable
  • 4
    Self-healing
  • 4
    No cloud platform lock-in
  • 3
    Quick cloud setup
  • 3
    Open, powerful, stable
  • 3
    Scalable
  • 3
    Promotes modern/good infrascture practice
  • 2
    Captain of Container Ship
  • 2
    A self healing environment with rich metadata
  • 2
    Cloud Agnostic
  • 2
    Runs on azure
  • 2
    Backed by Red Hat
  • 2
    Custom and extensibility
  • 1
    Golang
  • 1
    Expandable
  • 1
    Gke
  • 1
    Easy setup
  • 1
    Sfg
  • 1
    Everything of CaaS

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Cons of kaniko
Cons of Kubernetes
  • 1
    Slow compared to docker
  • 15
    Poor workflow for development
  • 15
    Steep learning curve
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
  • 1
    Additional vendor lock-in (Docker)
  • 1
    More moving parts to secure
  • 1
    Additional Technology Overhead

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- No public GitHub repository available -

What is kaniko?

A tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.

What is Kubernetes?

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

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Jobs that mention kaniko and Kubernetes as a desired skillset
CBRE
United States of America Texas Richardson
CBRE
United States of America Texas Richardson
Pinterest
San Francisco, CA, US; Atlanta, GA, US; New York, NY, US
CBRE
United States of America Texas Dallas
CBRE
United States of America Texas Dallas
What companies use kaniko?
What companies use Kubernetes?
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What tools integrate with kaniko?
What tools integrate with Kubernetes?

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What are some alternatives to kaniko and Kubernetes?
Docker
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
Jib
Jib builds Docker and OCI images for your Java applications and is available as plugins for Maven and Gradle.
Makisu
Uber's core infrastructure team developed a pipeline that quickly and reliably generates Dockerfiles and builds application code into Docker images for Apache Mesos and Kubernetes-based container ecosystems. Giving back to the growing stack of microservice technologies, we open sourced its core component, Makisu, to enable other organizations to leverage the same benefits for their own architectures (more here: https://eng.uber.com/makisu/).
Skaffold
Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.
Docker Compose
With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.
See all alternatives