I forgot to add the following two options when creating my EMR cluster with the AWS CLI:
--log-uri s3://mybucket/logs/ --enable-debugging
Is there a way to add a log uri and enable debugging on a running cluster?
You can not do enable debugging to running cluster.
The logs to s3 also needs to be enabled while you create cluster
By default, each cluster writes log files on the master node. These are written to the /mnt/var/log/ directory. You can access them by using SSH to connect to the master node
For more details please check here.
Related
I have a pod which I plan to run under EKS & KOPS managed cluster.
The pod does some calculations and I want to write the results to DynamoDB.
How can I access AWS DynamoDB from it?
Also, say I want to package it using helm, is there an option that all of the required configuration to access AWS would be only pod helm package related without any cluster configuration?
You need AWS IAM Role mapped to a ServiceAccount. Try using this user guide: https://docs.aws.amazon.com/eks/latest/userguide/iam-roles-for-service-accounts.html
also for kops you can use Kiam project, think of it as an IAM proxy https://github.com/uswitch/kiam
I recently spun up a t2.micro image and I want to install neo4j on it. I started with the instructions at https://neo4j.com/developer/neo4j-cloud-aws-ec2-ami/. But I got to the step for creating a security group and I received an error that a region needed to be supplied. Here is the command I used:
aws ec2 create-security-group \
--group-name $GROUP \
--description "Neo4j security group"
The error message was
You must specify a region. You can also configure your region by running "aws configure".
When I run this command I get prompted by a lot of stuff that don't seem related to region? Not only am I prompted for values that I don't know where/how to get them, when I am prompted for the region I am not sure the format to enter the region. So my question is how to I configure a security group so I can move on to installing neo4j on this instance?
There are still several steps to follow to install neo4j, but I seem to be tripped up on this step.
The commands expect a default region under ~/.aws/config
[default]
region=us-west-2
output=json
On the link that you have shared, there is a step to "Configure the AWS CLI with Your Credentials". This step allows you setup aws profile(s) and as part of those profiles, you can set a region.
Follow this link to understand how you can setup your aws profile with credentials and region details
https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html
Hope it helps
It's been sometime I've visited all the web pages carrying word "KOps import" but did not find a way to import my manually created K8s cluster. Manually created cluster means "Deployed Infra on AWS using Terraform and Kubernetes using Terraform's provisioner script as Shell script". Now as I see managing the environment manually is a pain, I look forward to move it under KOps. For that I have done the following so far:
Installed aws cli, kubectl and kops in my local machine.
Created KOps user with policies AmazonEC2FullAccess,
AmazonRoute53FullAccess, AmazonS3FullAccess, IAMFullAccess,
AmazonVPCFullAccess and generated access and secret keys.
Configured credentials using aws configure.
Created S3 bucket to store state.
Set env variables like Region and Cluster name.
Finally, ran kops import command as below:
kops import cluster --region ${REGION} --name ${OLD_NAME}
But encountered below error:
Cluster.kops "jjm-prod-use1-kubernetes" not found
Verbosed:
$ kops import cluster --region ${REGION} --name ${OLD_NAME} -v 10
I0131 16:32:12.059651 25683 factory.go:68] state store s3://kops-state-store-jjm
I0131 16:32:13.133145 25683 s3context.go:194] found bucket in region "us-east-1"
I0131 16:32:13.133174 25683 s3fs.go:220] Reading file "s3://kops-state-store-jjm/jjm-prod-use1-kubernetes/config"
Which made me serious about posting this question. Is there any possible way where a K8s cluster created except using kubeup.sh can be brought under the control of KOps ? Please advise.
Note: There's no way I can re-create (destroy and create) the clusters as they are running in production.
EDIT: I know this can be achieved only the cluster was setup using kubeup.sh. But is there any other way ?
That is only possible with cluster bootstrapped via kube-up.sh script as officialy announced in Kops documentation pages. Actually, kube-up.sh has been excluded from the list of supported Kubernetes installation tools for AWS. Although, cluster composed by kube-up.sh provides a lot of customization settings which are specifically applicable to AWS, the initial script uses environmental variables to define these settings. Therefore, I assume that it's quite hard to achieve in your case.
I have an AWS EMR cluster running spark, and I'd like to submit a PySpark job to it from my laptop (--master yarn) to run in cluster mode.
I know that I need to set up some config on the laptop, but I'd like to know what the bare minimum is. Do I just need some of the config files from the master node of the cluster? If so, which? Or do I need to install hadoop or yarn on my local machine?
I've done a fair bit of searching for an answer, but I haven't yet been able to be sure that what I was reading referred to launching a job from the master of the cluster or some arbitrary laptop...
If you want to run the spark-submit job solely on your AWS EMR cluster, you do not need to install anything locally. You only need the EC2 key pair you specified in the Security Options when you created the cluster.
I personally scp over any relevant scripts &/or jars, ssh into the master node of the cluster, and then run spark-submit.
You can specify most of the relevant spark job configurations via spark-submit itself. AWS documents in some more detail how to configure spark-submit jobs.
For example:
>> scp -i ~/PATH/TO/${SSH_KEY} /PATH/TO/PYSPARK_SCRIPT.py hadoop#${PUBLIC_MASTER_DNS}:
>> ssh -i ~/PATH/TO/${SSH_KEY} hadoop#${PUBLIC_MASTER_DNS}
>> spark-submit --conf spark.OPTION.OPTION=VALUE PYSPARK_SCRIPT.py
However, if you already pass a particular configuration when creating the cluster itself, you do not need to re-specify those same configuration options via spark-submit.
You can setup the AWS CLI on your local machine, put your deployment on S3, and then add an EMR step to run on the EMR cluster. Something like this:
aws emr add-steps --cluster-id j-xxxxx --steps Type=spark,Name=SparkWordCountApp,Args=[--deploy-mode,cluster,--master,yarn,--conf,spark.yarn.submit.waitAppCompletion=false,--num-executors,5,--executor-cores,5,--executor-memory,20g,s3://codelocation/wordcount.py,s3://inputbucket/input.txt,s3://outputbucket/],ActionOnFailure=CONTINUE
Source: https://aws.amazon.com/de/blogs/big-data/submitting-user-applications-with-spark-submit/
What I am trying to do:
I have setup kubernete cluster using documentation available on Kubernetes website (http_kubernetes.io/v1.1/docs/getting-started-guides/aws.html). Using kube-up.sh, i was able to bring kubernete cluster up with 1 master and 3 minions (as highlighted in blue rectangle in the diagram below). From the documentation as far as i know we can add minions as and when required, So from my point of view k8s master instance is single point of failure when it comes to high availability.
Kubernetes Master HA on AWS
So I am trying to setup HA k8s master layer with the three master nodes as shown above in the diagram. For accomplishing this I am following kubernetes high availability cluster guide, http_kubernetes.io/v1.1/docs/admin/high-availability.html#establishing-a-redundant-reliable-data-storage-layer
What I have done:
Setup k8s cluster using kube-up.sh and provider aws (master1 and minion1, minion2, and minion3)
Setup two fresh master instance’s (master2 and master3)
I then started configuring etcd cluster on master1, master 2 and master 3 by following below mentioned link:
http_kubernetes.io/v1.1/docs/admin/high-availability.html#establishing-a-redundant-reliable-data-storage-layer
So in short i have copied etcd.yaml from the kubernetes website (http_kubernetes.io/v1.1/docs/admin/high-availability/etcd.yaml) and updated Node_IP, Node_Name and Discovery Token on all the three nodes as shown below.
NODE_NAME NODE_IP DISCOVERY_TOKEN
Master1
172.20.3.150 https_discovery.etcd.io/5d84f4e97f6e47b07bf81be243805bed
Master2
172.20.3.200 https_discovery.etcd.io/5d84f4e97f6e47b07bf81be243805bed
Master3
172.20.3.250 https_discovery.etcd.io/5d84f4e97f6e47b07bf81be243805bed
And on running etcdctl member list on all the three nodes, I am getting:
$ docker exec <container-id> etcdctl member list
ce2a822cea30bfca: name=default peerURLs=http_localhost:2380,http_localhost:7001 clientURLs=http_127.0.0.1:4001
As per documentation we need to keep etcd.yaml in /etc/kubernete/manifest, this directory already contains etcd.manifest and etcd-event.manifest files. For testing I modified etcd.manifest file with etcd parameters.
After making above changes I forcefully terminated docker container, container was existing after few seconds and I was getting below mentioned error on running kubectl get nodes:
error: couldn't read version from server: Get httplocalhost:8080/api: dial tcp 127.0.0.1:8080: connection refused
So please kindly suggest how can I setup k8s master highly available setup on AWS.
To configure an HA master, you should follow the High Availability Kubernetes Cluster document, in particular making sure you have replicated storage across failure domains and a load balancer in front of your replicated apiservers.
Setting up HA controllers for kubernetes is not trivial and I can't provide all the details here but I'll outline what was successful for me.
Use kube-aws to set up a single-controller cluster: https://coreos.com/kubernetes/docs/latest/kubernetes-on-aws.html. This will create CloudFormation stack templates and cloud-config templates that you can use as a starting point.
Go the AWS CloudFormation Management Console, click the "Template" tab and copy out the complete stack configuration. Alternatively, use $ kube-aws up --export to generate the cloudformation stack file.
User the userdata cloud-config templates generated by kube-aws and replace the variables with actual values. This guide will help you determine what those values should be: https://coreos.com/kubernetes/docs/latest/getting-started.html. In my case I ended up with four cloud-configs:
cloud-config-controller-0
cloud-config-controller-1
cloud-config-controller-2
cloud-config-worker
Validate your new cloud-configs here: https://coreos.com/validate/
Insert your cloud-configs into the CloudFormation stack config. First compress and encode your cloud config:
$ gzip -k cloud-config-controller-0
$ cat cloud-config-controller-0.gz | base64 > cloud-config-controller-0.enc
Now copy the content into your encoded cloud-config into the CloudFormation config. Look for the UserData key for the appropriate InstanceController. (I added additional InstanceController objects for the additional controllers.)
Update the stack at the AWS CloudFormation Management Console using your newly created CloudFormation config.
You will also need to generate TLS asssets: https://coreos.com/kubernetes/docs/latest/openssl.html. These assets will have to be compressed and encoded (same gzip and base64 as above), then inserted into your userdata cloud-configs.
When debugging on the server, journalctl is your friend:
$ journalctl -u oem-cloudinit # to debug problems with your cloud-config
$ journalctl -u etcd2
$ journalctl -u kubelet
Hope that helps.
There is also kops project
From the project README:
Operate HA Kubernetes the Kubernetes Way
also:
We like to think of it as kubectl for clusters
Download the latest release, e.g.:
cd ~/opt
wget https://github.com/kubernetes/kops/releases/download/v1.4.1/kops-linux-amd64
mv kops-linux-amd64 kops
chmod +x kops
ln -s ~/opt/kops ~/bin/kops
See kops usage, especially:
kops create cluster
kops update cluster
Assuming you already have s3://my-kops bucket and kops.example.com hosted zone.
Create configuration:
kops create cluster --state=s3://my-kops --cloud=aws \
--name=kops.example.com \
--dns-zone=kops.example.com \
--ssh-public-key=~/.ssh/my_rsa.pub \
--master-size=t2.medium \
--master-zones=eu-west-1a,eu-west-1b,eu-west-1c \
--network-cidr=10.0.0.0/22 \
--node-count=3 \
--node-size=t2.micro \
--zones=eu-west-1a,eu-west-1b,eu-west-1c
Edit configuration:
kops edit cluster --state=s3://my-kops
Export terraform scripts:
kops update cluster --state=s3://my-kops --name=kops.example.com --target=terraform
Apply changes directly:
kops update cluster --state=s3://my-kops --name=kops.example.com --yes
List cluster:
kops get cluster --state s3://my-kops
Delete cluster:
kops delete cluster --state s3://my-kops --name=kops.identityservice.co.uk --yes