Benefits of docker and kubernetes code#

AВ Swarm clusterВ consists ofВ Docker EngineВ deployedВ SwarmВ manager nodesВ (whichВ orchestrateВ and manage the cluster) andВ worker nodesВ (which are directed to execute tasks by the manager nodes). Swarm -or more accurately, swarm modeВ - is DockerвЂ™s native support for orchestrating clusters of DockerВ engines. Often need additional tools (e.g.,В kubectlВ CLI), services,В continuous integration/continuous deploymentВ (CI/CD) workflows and otherВ DevOpsВ practices to fully manage access, identity, governance and securityДocker SwarmВ is anotherВ open-sourceВ containerВ orchestrationВ platformВ that has been around for a while.Too heavyweight for individual developers to set up for simplistic apps and infrequent deployments.

Updates fromВ open sourceВ community are frequent and require careful patching in order to avoid disrupting workloads.Management of theВ KubernetesВ master takes specialized knowledge.Unified set ofВ APIsВ and strong guarantees about theВ cluster state.KeyВ functionalitiesВ includeВ service discovery, ingressВ and load balancing,В self-healing, storage orchestration, horizontalВ scalability, automated rollouts andВ rollbacks, and batch execution.BroadВ KubernetesВ support from anВ ecosystemВ of cloud tool vendors, such as Sysdig, LogDNA, and Portworx (among many others).Available on the public cloud or for on-premises - managed or non-managed offerings from all the bigВ cloud providersВ (IBM Cloud,В AWS, MicrosoftВ Azure, Google Cloud Platform, etc.).Battle-tested by big players like Google and our own IBM workloads and runs on mostВ operating systems.Fast-growing KubeCon conferences throughout the year that are more than doubling attendance numbers.

Benefits of docker and kubernetes code#

Open-sourceВ communityВ that is very active in developing the code base.

A node can be aВ virtual machineВ or physical, bare metal machine. TheseВ worker nodesВ are managed by aВ KubernetesВ master that controls and monitors all resources in the cluster.

A KubernetesВ clusterВ is made up of compute hosts that are calledВ worker nodes. WithВ Kubernetes, developers andВ DevOpsВ teams can schedule, deploy, manage, and discover highly available apps by using the flexibility of clusters. KubernetesВ is anВ open sourceВ container-managementВ tool for those important containers and their complex production workloads. IBM, as a founding member ofВ CNCF, actively contributes toВ CNCFвЂ™s cloud-nativeВ projects, along with other companies like Google, Red Hat, Microsoft, andВ Amazon. With the advent of theВ Cloud Native Computing FoundationВ (CNCF) in partnership with theВ LinuxВ Foundation, the community adopted Open Governance forВ Kubernetes.

In the early days ofВ Kubernetes, the community contributors leveraged their knowledge of creating and running internal tools, such as Borg and Omega. KubernetesВ is developed by the community with the intent of addressing containerВ scalabilityВ and management needs. Of course, to be able to use your containers most effectively, you'll need to orchestrateВ your containerizedВ applications, which is whereВ KubernetesВ andВ Docker SwarmВ come in. By packaging an appвЂ™s code, dependencies, and configurations into one easy-to-use building block, containers let you take important steps toward shortening deployment time and improving application reliability. In a nutshell, containersВ are a standard way to package apps and all their dependencies so that you can seamlessly move the apps betweenВ runtimeВ environments.

LetвЂ™s take a moment, however, to explore the similarities and differences betweenВ Docker SwarmВ andВ KubernetesВ - the two preeminent container orchestratorsВ - and see how they fit into the cloud deployment and management world. When considering the debate ofВ Docker SwarmВ vs.В Kubernetes, it might seem like a foregone conclusion to many thatВ KubernetesВ is the right choice for workload orchestration. Kubernetes: Which of these container orchestration tools is right for you?