Hive on Spark in Kubernetes

It is not easy to run Hive on Kubernetes. As long as I know, Tez which is a hive execution engine can be run just on YARN, not Kubernetes.

There is an alternative to run Hive on Kubernetes. Spark can be run on Kubernetes, and Spark Thrift Server compatible with Hive Server2 is a great candidate. That is, Spark will be run as hive execution engine.

I am going to talk about how to run Hive on Spark in kubernetes cluster .

All the codes mentioned here can be cloned from my github repo: https://github.com/mykidong/hive-on-spark-in-kubernetes

Assumed that S3 Bucket and NFS as Kubernetes Storage are available

Before running Hive on Kubernetes, your S3 Bucket and NFS as kubernetes storage should be available for your kubernetes cluster.

Your S3 bucket will be used to store the uploaded spark dependency jars, hive tables data, etc.

NFS Storage will be used to support PVC ReadWriteMany Access Mode which is needed to spark job.

If you have no such S3 bucket and NFS available, you can install them on your kubernetes cluster manually like me:

#hive #kubernetes #spark #s3

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Hive on Spark in Kubernetes
Christa  Stehr

Christa Stehr

1602964260

50+ Useful Kubernetes Tools for 2020 - Part 2

Introduction

Last year, we provided a list of Kubernetes tools that proved so popular we have decided to curate another list of some useful additions for working with the platform—among which are many tools that we personally use here at Caylent. Check out the original tools list here in case you missed it.

According to a recent survey done by Stackrox, the dominance Kubernetes enjoys in the market continues to be reinforced, with 86% of respondents using it for container orchestration.

(State of Kubernetes and Container Security, 2020)

And as you can see below, more and more companies are jumping into containerization for their apps. If you’re among them, here are some tools to aid you going forward as Kubernetes continues its rapid growth.

(State of Kubernetes and Container Security, 2020)

#blog #tools #amazon elastic kubernetes service #application security #aws kms #botkube #caylent #cli #container monitoring #container orchestration tools #container security #containers #continuous delivery #continuous deployment #continuous integration #contour #developers #development #developments #draft #eksctl #firewall #gcp #github #harbor #helm #helm charts #helm-2to3 #helm-aws-secret-plugin #helm-docs #helm-operator-get-started #helm-secrets #iam #json #k-rail #k3s #k3sup #k8s #keel.sh #keycloak #kiali #kiam #klum #knative #krew #ksniff #kube #kube-prod-runtime #kube-ps1 #kube-scan #kube-state-metrics #kube2iam #kubeapps #kubebuilder #kubeconfig #kubectl #kubectl-aws-secrets #kubefwd #kubernetes #kubernetes command line tool #kubernetes configuration #kubernetes deployment #kubernetes in development #kubernetes in production #kubernetes ingress #kubernetes interfaces #kubernetes monitoring #kubernetes networking #kubernetes observability #kubernetes plugins #kubernetes secrets #kubernetes security #kubernetes security best practices #kubernetes security vendors #kubernetes service discovery #kubernetic #kubesec #kubeterminal #kubeval #kudo #kuma #microsoft azure key vault #mozilla sops #octant #octarine #open source #palo alto kubernetes security #permission-manager #pgp #rafay #rakess #rancher #rook #secrets operations #serverless function #service mesh #shell-operator #snyk #snyk container #sonobuoy #strongdm #tcpdump #tenkai #testing #tigera #tilt #vert.x #wireshark #yaml

How to Configure And Monitor Apache Spark on Kubernetes

Earlier this year at Spark + AI Summit, we had the pleasure of presenting our session on the best practices and pitfalls of running Apache Spark on Kubernetes (K8s).

In this post we’d like to expand on that presentation and talk to you about:

  1. What is Kubernetes?
  2. Why run Spark on Kubernetes?
  3. Getting started with Spark on Kubernetes
  4. Optimizing performance and cost
  5. Monitoring your Spark applications on Kubernetes
  6. The future of Spark on Kubernetes

If you’re already familiar with k8s and why Spark on Kubernetes might be a fit for you, feel free to skip the first couple of sections and get straight to the meat of the post!

#apache-spark #spark-on-kubernetes #docker #kubernetes #spark-on-k8s #k8s #good-company #devops

Hive on Spark in Kubernetes

It is not easy to run Hive on Kubernetes. As long as I know, Tez which is a hive execution engine can be run just on YARN, not Kubernetes.

There is an alternative to run Hive on Kubernetes. Spark can be run on Kubernetes, and Spark Thrift Server compatible with Hive Server2 is a great candidate. That is, Spark will be run as hive execution engine.

I am going to talk about how to run Hive on Spark in kubernetes cluster .

All the codes mentioned here can be cloned from my github repo: https://github.com/mykidong/hive-on-spark-in-kubernetes

Assumed that S3 Bucket and NFS as Kubernetes Storage are available

Before running Hive on Kubernetes, your S3 Bucket and NFS as kubernetes storage should be available for your kubernetes cluster.

Your S3 bucket will be used to store the uploaded spark dependency jars, hive tables data, etc.

NFS Storage will be used to support PVC ReadWriteMany Access Mode which is needed to spark job.

If you have no such S3 bucket and NFS available, you can install them on your kubernetes cluster manually like me:

#hive #kubernetes #spark #s3

Maud  Rosenbaum

Maud Rosenbaum

1601051854

Kubernetes in the Cloud: Strategies for Effective Multi Cloud Implementations

Kubernetes is a highly popular container orchestration platform. Multi cloud is a strategy that leverages cloud resources from multiple vendors. Multi cloud strategies have become popular because they help prevent vendor lock-in and enable you to leverage a wide variety of cloud resources. However, multi cloud ecosystems are notoriously difficult to configure and maintain.

This article explains how you can leverage Kubernetes to reduce multi cloud complexities and improve stability, scalability, and velocity.

Kubernetes: Your Multi Cloud Strategy

Maintaining standardized application deployments becomes more challenging as your number of applications and the technologies they are based on increase. As environments, operating systems, and dependencies differ, management and operations require more effort and extensive documentation.

In the past, teams tried to get around these difficulties by creating isolated projects in the data center. Each project, including its configurations and requirements were managed independently. This required accurately predicting performance and the number of users before deployment and taking down applications to update operating systems or applications. There were many chances for error.

Kubernetes can provide an alternative to the old method, enabling teams to deploy applications independent of the environment in containers. This eliminates the need to create resource partitions and enables teams to operate infrastructure as a unified whole.

In particular, Kubernetes makes it easier to deploy a multi cloud strategy since it enables you to abstract away service differences. With Kubernetes deployments you can work from a consistent platform and optimize services and applications according to your business needs.

The Compelling Attributes of Multi Cloud Kubernetes

Multi cloud Kubernetes can provide multiple benefits beyond a single cloud deployment. Below are some of the most notable advantages.

Stability

In addition to the built-in scalability, fault tolerance, and auto-healing features of Kubernetes, multi cloud deployments can provide service redundancy. For example, you can mirror applications or split microservices across vendors. This reduces the risk of a vendor-related outage and enables you to create failovers.

#kubernetes #multicloud-strategy #kubernetes-cluster #kubernetes-top-story #kubernetes-cluster-install #kubernetes-explained #kubernetes-infrastructure #cloud

Top Spark Development Companies | Best Spark Developers - TopDevelopers.co

An extensively researched list of top Apache spark developers with ratings & reviews to help find the best spark development Companies around the world.

Our thorough research on the ace qualities of the best Big Data Spark consulting and development service providers bring this list of companies. To predict and analyze businesses and in the scenarios where prompt and fast data processing is required, Spark application will greatly be effective for various industry-specific management needs. The companies listed here have been skillfully boosting businesses through effective Spark consulting and customized Big Data solutions.

Check out this list of Best Spark Development Companies with Best Spark Developers.

#spark development service providers #top spark development companies #best big data spark development #spark consulting #spark developers #spark application