What is Kubernetes? An introductory overview
Today, we'll be building on our recent coverage of the Kubernetes Ecosystem to talk more in depth about Kops. This post is a complement to our Kube...Learn More
Today, we’ll be building on our recent coverage of the Kubernetes Ecosystem to talk more in depth about Kops. This post is a complement to our Kubernetes webinar earlier this year and follows previous posts that cover deploying applications with Helm and creating and maintaining Kubernetes clusters with Kops. Let’s begin by addressing a basic question: What is Kops?
Kops is an official Kubernetes project for managing production-grade Kubernetes clusters. Kops is currently the best tool to deploy Kubernetes clusters to Amazon Web Services. The project describes itself as kubectl for clusters.
If you’re familiar with kubectl, then you’ll feel at home with Kops. It has commands for creating clusters, updating their settings, and applying changes. Kops uses declarative configuration, so it’s smart enough to know how to apply infrastructure changes to existing clusters. It also has support for cluster operational tasks like scaling up nodes or horizontally scaling the cluster. Kops automates a large part of operating Kubernetes on AWS.
Before moving on to examples, let’s look at its key features:
Check out this short ASCII cast demo for more info.
Now, we’ll tackle a common scenario: Create a cluster and configure it for your use case.
You’ll need to configure IAM permissions and an S3 bucket for the
KOPS_STATE_STORE. The KOPS_STATE_STORE is the source of truth for all clusters managed by Kops. You’ll need appropriate IAM permissions so that Kops can make API calls on your behalf. I won’t cover that in this post, but you can follow the instructions here.
You’ll also need to configure DNS. Kops supports a variety of configurations. Each has its own setup instructions. AWS Route53 with an existing HostedZone is the easiest. We’ll assume that there is an existing AWS Route53 HostedZone for
slashdeploy.com in these examples.
Kops clusters must be valid DNS names. Let’s create the
demo.slashdeploy.com cluster. Kops will also create the DNS record for the Kubernetes API sever at
bastion.demo.slashdeploy.com. Keep in mind that DNS names may only be so long, so don’t use base cluster names that are too long. Everything starts with
kops create. You can pass options directly to the command or write a cluster spec file. We’ll use the command line options for this exercise. Using a dedicate file is great for source control and other forms of configuration management.
kops create accepts many options. We’ll start with the simplest case by only supplying the required options.
$ kops create cluster \ --yes \ --zones=eu-west-1a,eu-west-1b,eu-west-1c \ demo.slashdeploy.com
There are two required values.
--zones states the GCP zones / AWS regions where to create the infrastructure. Here, eu-west-1a, eu-west-1b, eu-west-1c are specified. This instructs Kops to create infrastructure in each eu-west-1 availability zone. This is important because Kops aims to create high availability production clusters. Multiple availability zones make the cluster more reliable by protecting against failures in one availability zone.
You must also specify the cluster name.
--yes confirms operations that normally prompt for confirmation.
kops create adds a
kubectl configuration entry for the new cluster so you’re ready to use it right away. The command is async. It will trigger infrastructure creation, but will not block it completely. Luckily, Kops includes a command to validate a cluster. You can rerun this command until it succeeds.
$ kops validate demo.slashdeploy.com
When everything is complete, you should see something similar to the following:
$ kops validate cluster demo.slashdeploy.com Validating cluster demo.slashdeploy.com INSTANCE GROUPS NAME ROLE MACHINETYPE MIN MAX SUBNETS master-eu-west-1a Master m3.medium 1 1 eu-west-1a master-eu-west-1b Master m3.medium 1 1 eu-west-1b master-eu-west-1c Master m3.medium 1 1 eu-west-1c nodes Node t2.medium 2 2 eu-west-1a,eu-west-1b,eu-west-1c NODE STATUS NAME ROLE READY ip-172-20-120-240.eu-west-1.compute.internal master True ip-172-20-50-132.eu-west-1.compute.internal master True ip-172-20-66-106.eu-west-1.compute.internal master True ip-172-20-75-89.eu-west-1.compute.internal node True Your cluster demo.slashdeploy.com is ready
Now, you’re ready to run any
kubectl command such as
kubectl get pods -n kube-system. The cluster is a bit strange because it has three masters and only a single worker. Let’s update the node instance group.
kops behaves like
kubectl. This means that you can
kops edit to edit the configuration files in your editor. The next step is to run
kops update. This applies configuration changes, but does not modify running infrastructure.
kops rolling-update manages updating or recreating infrastructure.
This process applies to all sorts of configuration changes. First
update, and finally
rolling-update. Let’s take this for a spin by editing the node instance group to increase the number of worker nodes.
$ kops edit instancegroup nodes
That will open a YAML file in your editor. You’ll see something similar to the following:
apiVersion: kops/v1alpha2 kind: InstanceGroup metadata: creationTimestamp: "2017-04-05T15:33:52Z" labels: kops.k8s.io/cluster: demo.slashdeploy.com name: nodes spec: image: kope.io/k8s-1.5-debian-jessie-amd64-hvm-ebs-2017-01-09 machineType: t2.medium maxSize: 1 minSize: 1 role: Node subnets: - eu-west-1a - eu-west-1b - eu-west-1c
All we need to do is replace
maxSize with appropriate values. I’ll set both values to
3 and save the file. This writes the updated file back to the
KOPS_STATE_STORE. Now, we need to
update the cluster. Again, we’ll supply
--yes to confirm the changes.
$ kops update cluster --yes Using cluster from kubectl context: demo.slashdeploy.com I0422 07:34:58.458492 26834 executor.go:91] Tasks: 0 done / 114 total; 35 can run I0422 07:34:59.990241 26834 executor.go:91] Tasks: 35 done / 114 total; 26 can run I0422 07:35:01.211466 26834 executor.go:91] Tasks: 61 done / 114 total; 36 can run I0422 07:35:04.215344 26834 executor.go:91] Tasks: 97 done / 114 total; 10 can run I0422 07:35:04.845173 26834 dnsname.go:107] AliasTarget for "api.demo.slashdeploy.com." is "api-demo-1201911436.eu-west-1.elb.amazonaws.com." I0422 07:35:05.045363 26834 executor.go:91] Tasks: 107 done / 114 total; 7 can run I0422 07:35:05.438759 26834 executor.go:91] Tasks: 114 done / 114 total; 0 can run I0422 07:35:05.438811 26834 dns.go:140] Pre-creating DNS records I0422 07:35:06.707548 26834 update_cluster.go:204] Exporting kubecfg for cluster Wrote config for demo.slashdeploy.com to "/home/ubuntu/.kube/config" Kops has set your kubectl context to demo.slashdeploy.com Cluster changes have been applied to the cloud. Changes may require instances to restart: kops rolling-update cluster
Finally, apply the
$ kops rolling-update cluster --yes Using cluster from kubectl context: demo.slashdeploy.com NAME STATUS NEEDUPDATE READY MIN MAX NODES bastions Ready 0 1 1 1 0 master-eu-west-1a Ready 0 1 1 1 1 master-eu-west-1b Ready 0 1 1 1 1 master-eu-west-1c Ready 0 1 1 1 1 nodes Ready 0 3 3 3 3 No rolling-update required
That’s a bit strange. Kops says that there is no rolling-update required. This is true because we only changed the minimum and maximum number of instances in the
nodes auto scaling group. This does not require any changes to the existing infrastructure. AWS simply triggers creation of two instances.
Let’s make another change that requires changing infrastructure. Imagine that the existing t2
.medium instances are not cutting it. We need to scale up to meet workload requirements. To do that, we need to change the instance type. The same
rolling-update process applies here. Let’s upgrade to
m4.large. Repeat the exercise and replace t2
m4.large then apply the
rolling-update. Now, Kops kills each node in order to trigger creation of an up-to-date node.
$ kops rolling-update cluster --yes Using cluster from kubectl context: demo.slashdeploy.com NAME STATUS NEEDUPDATE READY MIN MAX NODES bastions Ready 0 1 1 1 0 master-eu-west-1a Ready 0 1 1 1 1 master-eu-west-1b Ready 0 1 1 1 1 master-eu-west-1c Ready 0 1 1 1 1 nodes NeedsUpdate 3 0 3 3 3 I0422 07:42:31.615734 659 rollingupdate_cluster.go:281] Stopping instance "i-038cbac0aeaca24d4" in AWS ASG "nodes.demo.slashdeploy.com" I0422 07:44:31.920426 659 rollingupdate_cluster.go:281] Stopping instance "i-046fe9866a3b51fe6" in AWS ASG "nodes.demo.slashdeploy.com" I0422 07:46:33.539412 659 rollingupdate_cluster.go:281] Stopping instance "i-07f924becaa46d2ab" in AWS ASG "nodes.demo.slashdeploy.com"
Caution though! Current versions (<= 1.6) do not yet perform a real rolling update It just shuts down machines in sequence with a delay; there will be downtime Issue #37 We have implemented a new feature that does drain and validate nodes. This feature is experimental, and you can use the new feature by setting
export KOPS_FEATURE_FLAGS="+DrainAndValidateRollingUpdate". This should be fixed in a future release.
This same process applies to infrastructure and configuration (such as
kubelet flags or API server flags). The documentation covers specific cases:
As always, you can refer to the documentation for complete information.
Our example covered the most simple case, but this does not apply to all scenarios. Let’s walk through different options available to the
kops create cluster.
$ kops create cluster --help Creates a k8s cluster. Usage: kops create cluster [flags] Flags: --admin-access stringSlice Restrict access to admin endpoints (SSH, HTTPS) to this CIDR. If not set, access will not be restricted by IP. (default [0.0.0.0/0]) --associate-public-ip Specify --associate-public-ip=[true|false] to enable/disable association of public IP for master ASG and nodes. Default is 'true'. --bastion Pass the --bastion flag to enable a bastion instance group. Only applies to private topology. --channel string Channel for default versions and configuration to use (default "stable") --cloud string Cloud provider to use - gce, aws --dns string DNS hosted zone to use: public|private. Default is 'public'. (default "Public") --dns-zone string DNS hosted zone to use (defaults to longest matching zone) --image string Image to use --kubernetes-version string Version of kubernetes to run (defaults to version in channel) --master-count int32 Set the number of masters. Defaults to one master per master-zone --master-security-groups stringSlice Add precreated additional security groups to masters. --master-size string Set instance size for masters --master-zones stringSlice Zones in which to run masters (must be an odd number) --model string Models to apply (separate multiple models with commas) (default "config,proto,cloudup") --network-cidr string Set to override the default network CIDR --networking string Networking mode to use. kubenet (default), classic, external, cni, kopeio-vxlan, weave, calico. (default "kubenet") --node-count int32 Set the number of nodes --node-security-groups stringSlice Add precreated additional security groups to nodes. --node-size string Set instance size for nodes --out string Path to write any local output --project string Project to use (must be set on GCE) --ssh-public-key string SSH public key to use (default "~/.ssh/id_rsa.pub") --target string Target - direct, terraform (default "direct") -t, --topology string Controls network topology for the cluster. public|private. Default is 'public'. (default "public") --vpc string Set to use a shared VPC --yes Specify --yes to immediately create the cluster --zones stringSlice Zones in which to run the cluster
--newtork-cidrcan be used when deploying to an existing AWS VPC.
--bastiongenerates a dedicated SSH jump host for SSH access to cluster instances. This is best used with
--master-zonesspecifies all of the zones where masters run. This is key for HA setups.
--networkingsets the default network. Note that your particular choice depends on your requirements and may work with the specified
--topologyis the internal networking state. I prefer
--bastion --topology=private --associate-public-ip=false --networking=weaveto keep the clusters inaccessible on the public internet.
Kops is one the best tools that we have right now to manage Kubernetes clusters. Kops, like everything else in the Kubernetes ecosystem, is changing rapidly. The
#kops channel on the Kubernetes Slack team is the best place to interact with other users. The people behind it are actively fixing bugs, introducing new features, and accepting proposals from the community. They also set aside an hour every other week to offer help and guidance to the community. They work with newcomers, help with PRs, and discuss new features, anything goes.
Add something to the agenda. They hold office hours (on Zoom video conferences) on Fridays at 5 p.m. UTC/9 a.m. US Pacific Time every other week, on odd weeks. I also recommend that you read through the issue tracker to get a feel for the known issues and more importantly the missing features.
Kops can do a lot, but it may not do everything for your use case, so be sure to do your research before diving in head first. One notable omission is the lack of pre/post install hooks for node configuration. This is required for things like pre-pulling images or installing software on nodes. This was recently fixed in a pull request, but there is no timeline for the next release at this point in time.
Kops, Kubernetes, containers, Docker and more are also discussed in the CloudAcademy 2017 office hours.
Stay tuned on the Cloud Academy blog for more Kubernetes!
One of the main promises of cloud computing is access to nearly endless capacity. However, it doesn’t come cheap. With the introduction of Spot Instances for Amazon Web Services’ Elastic Compute Cloud (AWS EC2) in 2009, spot instances have been a way for major cloud providers to sell sp...
A Comparison of Machine Learning Services on AWS, Azure, and Google CloudArtificial intelligence and machine learning are steadily making their way into enterprise applications in areas such as customer support, fraud detection, and business intelligence. There is every reason to beli...
The AWS Command Line Interface (CLI) is for managing your AWS services from a terminal session on your own client, allowing you to control and configure multiple AWS services.So you’ve been using AWS for awhile and finally feel comfortable clicking your way through all the services....
Thousands of cloud practitioners descended on Chicago’s McCormick Place West last week to hear the latest updates around Amazon Web Services (AWS). While a typical hot and humid summer made its presence known outside, attendees inside basked in the comfort of air conditioning to hone th...
Containers can help fragment monoliths into logical, easier to use workloads. The AWS Summit New York was held on July 17 and Cloud Academy sponsored my trip to the event. As someone who covers enterprise cloud technologies and services, the recent Amazon Web Services event was an insig...
If you’re building applications on the AWS cloud or looking to get started in cloud computing, certification is a way to build deep knowledge in key services unique to the AWS platform. AWS currently offers nine certifications that cover the major cloud roles including Solutions Archite...
If you want to deliver digital services of any kind, you’ll need to compute resources including CPU, memory, storage, and network connectivity. Which resources you choose for your delivery, cloud-based or local, is up to you. But you’ll definitely want to do your homework first.Cloud ...
As companies increasingly shift workloads to the public cloud, cloud computing has moved from a nice-to-have to a core competency in the enterprise. This shift requires a new set of skills to design, deploy, and manage applications in the cloud.As the market leader and most mature pro...
Keeping data and applications safe in the cloud is one the most visible challenges facing cloud teams in 2018. Cloud storage services where data resides are frequently a target for hackers, not because the services are inherently weak, but because they are often improperly configured....
Predictive analytics and automation—through AI and machine learning—are increasingly being integrated into enterprise applications to support decision making and address critical issues such as security and business intelligence. Public cloud platforms like AWS offer dedicated services ...
With the average cost of downtime estimated at $8,850 per minute, businesses can’t afford to risk system failure. Full access to services and data anytime, anywhere is one of the main benefits of cloud computing.By design, many of the core services with the public cloud and its underl...
Some of 2017’s largest data breaches involved unprotected Amazon Simple Storage (S3) buckets that left millions of customer data records exposed to the public. The problem wasn’t the technology, but administrators who improperly configured the security settings.For cloud teams in char...
In addition to all of the new services and technologies coming to cloud computing, one of the most important factors...