What’s new in Kubernetes 1.20

The most recent variation of Kubernetes, one.20, introduces the adhering to key alterations:
  • The Docker runtime is remaining deprecated. However, this doesn’t imply Docker pictures or Dockerfiles do not operate in Kubernetes any longer. It just suggests Kubernetes will now use its own Container Runtime Interface (CRI) products to execute containers as an alternative of the Docker runtime. For most end users this will have no substantial impact—e.g., any current Docker pictures will operate wonderful. But some concerns may possibly consequence when dealing with runtime useful resource boundaries, logging configurations, or how GPUs and other exclusive components interact with the runtime (a thing to note for those working with Kubernetes for equipment finding out). The earlier backlink provides specifics on how to migrate workloads, if wanted, and what concerns to be mindful of.
  • Volume snapshot operations are now secure. This will allow volume snapshots—images of the state of a storage volume—to be utilised in creation. Kubernetes programs that depend on really particular state, such as pictures of database files, will be much easier to construct and sustain with this feature energetic.
  • Kubectl Debug is now in beta, enabling widespread debug workflows to be executed from within the kubectl command-line setting. 
  • API Precedence and Fairness (APF) is now enabled by default, though nonetheless in beta. Incoming requests to kube-apiserver can be sorted by priority levels, so that the administrator can specify which requests should really be content most straight away.
  • Course of action PID Limiting is now in general availability. This feature makes sure that pods are not able to exhaust the variety of procedure IDs readily available on a Linux host, or interfere with other pods by working with up way too quite a few processes.

Kubernetes one.seventeen, produced in December 2019, launched the adhering to key new capabilities and revisions: 

  • Volume snapshots, launched in alpha in Kubernetes one.12, are now promoted to beta. This feature will allow a volume in a cluster to be snapshotted at a specified instant in time. Snapshots can be utilised to provision a new volume with data from the snapshot, or to roll back again an current volume to an previously snapshotted variation. Volume snapshots make it probable to conduct elaborate data-versioned or code-versioning operations within a cluster that weren’t earlier probable.
  • Much more of the “in-tree” (integrated by default) storage plug-ins are now remaining moved to the Container Storage Interface (CSI) infrastructure. This suggests significantly less direct dependencies on those drivers for the main variation of Kubernetes. However, a cluster has to be explicitly up-to-date to help migrating the in-tree storage plug-ins, but a prosperous migration shouldn’t have any sick outcomes for a cluster.
  • The cloud company labels feature, initially launched in beta back again in Kubernetes one.two, is now commonly readily available. Nodes and volumes are labeled based on the cloud company where by the Kubernetes cluster operates, as a way to describe to the relaxation of Kubernetes how those nodes and volumes should really be taken care of (e.g., by the scheduler). If you are working with the previously beta versions of the labels oneself, you should really update them to their new counterparts to steer clear of issues.

Exactly where to download Kubernetes

You can download the Kubernetes supply code from the releases web site of its official GitHub repository. Kubernetes is also readily available by way of the update procedure supplied by the quite a few suppliers that source Kubernetes distributions.

What’s new in Kubernetes one.16

Kubernetes one.16, produced in September 2019, includes the adhering to new and revised capabilities:

  • Personalized useful resource definitions (CRDs), the extended-recommended mechanism for extending Kubernetes performance launched in Kubernetes one.7, are now formally a commonly readily available feature. CRDs have by now been greatly utilised by third get-togethers. With the move to GA, quite a few optional-but-recommended behaviors are now demanded by default to hold the APIs secure.
  • Numerous alterations have been made to how volumes are taken care of. Chief amid them is relocating the volume resizing API, uncovered in the Container Storage Interface (CSI), to beta.
  • Kubeadm now has alpha help for signing up for Windows employee nodes to an current cluster. The extended-time period objective right here is to make Windows and Linux nodes the two initial-course citizens in a cluster, as an alternative of owning only a partial set of behaviors for Windows.
  • CSI plug-in help is now readily available in alpha for Windows nodes, so those programs can begin working with the same vary of storage plug-ins as Linux nodes.
  • A new feature, Endpoint Slices, will allow for greater scaling of clusters and much more overall flexibility in dealing with network addresses. Endpoint Slices are now readily available as an alpha test feature.
  • The way metrics are taken care of proceeds a key overhaul with Kubernetes one.16. Some metrics are remaining renamed or deprecated to carry them much more in line with Prometheus. The prepare is to get rid of all deprecated metrics by Kubernetes one.seventeen.
  • Last but not least, Kubernetes one.16 removes a variety of deprecated API versions. 

What’s new in Kubernetes one.fifteen

Kubernetes one.fifteen, produced in late June 2019, provides the adhering to new capabilities and improvements:

  • Much more capabilities (at the moment in alpha and beta) for Personalized Resource Definitions, or CRDs. CRDs in Kubernetes are the basis of its extensibility technology, enabling Kubernetes instances to be personalized with out falling out of conformance with upstream Kubernetes criteria. The new capabilities consist of the capability to convert CRDs amongst versions (a thing extended readily available for indigenous sources), OpenAPI publishing for CRDs, default values for fields in OpenAPI-validated schemas for CRDs, and much more.
  • Indigenous substantial availability (HA) in Kubernetes is now in beta. Placing up a cluster for HA nonetheless calls for setting up and forethought, but the extended-time period objective is to make HA probable with out any third-bash application.
  • Much more plug-ins that handle volumes have been migrated to use the Container Storage Interface (CSI), a regular way to handle storage for hosted containers. Amid the new capabilities launched in alpha for CSI are volume cloning, so that new persistent volumes can be based on an current 1.

Other alterations in Kubernetes one.fifteen consist of:

  • Certificate administration now instantly rotates certificates right before expiration.
  • A new framework for plug-ins that conduct scheduling operations has entered alpha.

What’s new in Kubernetes one.14

Version one.14 of Kubernetes, produced in March 2019, includes the adhering to alterations:

  • Microsoft Windows Server 2019 is now formally supported as a platform for jogging the two Kubernetes employee nodes and container scheduling. This suggests entire Kubernetes clusters can operate on Windows solely, alternatively than owning a mix of Windows and Linux programs.
  • The plugin mechanism for Kubectl, the default Kubernetes command-line software, is now a secure feature, allowing builders implement their own Kubectl subcommands as standalone binaries.
  • Persistent area volumes are now a secure feature. This allows domestically connected storage be utilised by Kubernetes for persistent volumes. Aside from giving improved efficiency than working with network-connected storage, it also tends to make it much easier (and possibly less expensive) to stand up a cluster.
  • Course of action ID restricting for Linux hosts is now a beta feature. This stops any 1 pod from working with up way too quite a few procedure IDs and hence producing useful resource exhaustion on the host.

What’s new in Kubernetes one.thirteen

Version one.thirteen of Kubernetes was produced in December 2018, with the adhering to new and upgraded capabilities:

  • Kubeadm, a software built to make it much easier to set up a Kubernetes cluster, is finally readily available as a completely supported feature. It walks an admin via the principles of setting up nodes for creation, signing up for them to the cluster, and making use of most effective procedures alongside the way. It also provides a way for infrastructure-orchestration applications (Puppet, Chef, Salt, and many others.) to automate cluster set up.

  • The Container Storage Interface, or CSI, is now also readily available as a supported feature. CSI will allow extensions for Kubernetes’s volume layer, so that storage plugins can operate with Kubernetes with out owning to be made portion of Kubernetes’s main code.

  • Kubernetes now uses CoreDNS as its default DNS server. CoreDNS works as a fall-in alternative for other DNS servers, but was crafted to combine with Kubernetes by way of plug-ins and integration with Kubernetes capabilities such as Prometheus monitoring metrics.

What’s new in Kubernetes one.12

Unveiled in late September 2018, Kubernetes one.12 delivers to general availability the Kubelet TLS Bootstrap. The Kubelet TLS Bootstrap will allow a Kubelet, or the main agent that operates on just about every Kubernetes node, to be part of a TLS-secured cluster instantly, by requesting a TLS shopper certificate via an API. By automating this procedure, Kubernetes will allow clusters to be configured with higher stability by default.

Also new in Kubernetes one.12 is help for Microsoft Azure’s digital equipment scale sets (VMSS), a way to set up a team of VMs that instantly ramp up or down on timetable or to meet up with desire. Kubernetes’s cluster-autoscaling feature now works with VMSS.

Other new capabilities in Kubernetes one.12:

  • Snapshot and restore performance for volumes (alpha).
  • Personalized metrics for pod autoscaling (beta). This will allow custom made position disorders or other metrics to be utilised when scaling a pod—for instance, if sources that are particular to a specified deployment of Kubernetes have to have to be tracked as portion of the application’s administration tactic.
  • Vertical pod scaling (beta), which will allow a pod’s useful resource boundaries to be assorted throughout its life time, as a way to improved handle pods that have a substantial value affiliated with disposing of them. This is a extended-standing product on quite a few would like lists for Kubernetes, since it will allow for strategies to deal with pods whose behaviors are not effortless to handle under the existing scheduling tactic.

What’s new in Kubernetes one.eleven

Unveiled in early July 2018, Kubernetes one.eleven adds IPVS, or IP Digital Server, to provides substantial-efficiency cluster load balancing working with an in-kernel technology which is significantly less sophisticated than the iptables technique typically utilised for such points. At some point, Kubernetes will use IPVS as the default load balancer, but for now it is decide-in.

Personalized useful resource definitions, billed as a way to make custom made configuration alterations to Kubernetes with out breaking its standardizations, may well now be versioned to make it possible for for sleek transitions from 1 set of custom made sources to a further about time. Also new are strategies to define “status” and “scale” subresources, which can combine with monitoring and substantial-availability frameworks in a cluster.

Other key alterations consist of:

Rosa G. Rose

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