---
title: Building CI/CD Pipeline for Scala Application on Kubernetes
description: Continuous Delivery Pipeline for Continuous Integration and deployment of Scala Microservices application with Jenkins, Docker and Kubernetes.
image: https://www.xenonstack.com/hubfs/xenonstack-deploying-scala-application-on-kubernetes.png
---

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# Building CI/CD Pipeline for Scala Application on Kubernetes

[Navdeep Singh Gill](https://www.xenonstack.com/blog/author/navdeep-singh-gill) | 29 August 2024

## **Overview of Scala Application**

Scala is an object-oriented programming language. It provides support to functional programming. It also helps to remove bugs in complex applications. In this article, you get to know about Scala and Scala Applications on Kubernetes. Running Containers at any real-world scale requires container orchestration, and scheduling platform like [Docker Swarm](https://docs.docker.com/engine/swarm/), Apache Mesos, [AWS ECS](https://aws.amazon.com/ecs/) but the most popular out of it is Kubernetes. Kubernetes is an open-source system for automating deployment and management of containerised applications. Continuous delivery is a branch of continuous integration. It concentrates on automating the software delivery process so that teams can quickly and confidently deploy their code to production at any point.

> CI/CD Pipeline is a crucial part of the modern DevOps environment. Click to explore about, [Continuous Integration and Continuous Delivery](https://www.xenonstack.com/blog/continuous-integration-and-delivery)

## **What are the basics terminology for Scala Application?**

To follow this guide you need -

- Kubernetes
- [Kubectl](https://kubernetes.io/docs/reference/kubectl/)
- Scala Application Source Code
- Dockerfile
- [Container-Registry](https://docs.docker.com/registry/)

### **Kubernetes**

It is an open-source platform that automates container operations, and [Minikube](https://github.com/kubernetes/minikube) is best for testing Kubernetes.

### **Kubectl**

Kubectl is a command-line interface to manage Kubernetes cluster either remotely or locally. To configure kubectl on your machine follow this link.

### **Shared Persistent Storage**

Shared Persistent Storage is permanent storage that we can attach to the Kubernetes container so that we don\`t lose our data even when container dies. We will be using[GlusterFS](https://www.gluster.org/) as the persistent data store for Kubernetes container applications.

### **Scala Application Source Code**

It's source code will be run inside a Kubernetes container.

### **DockerFile**

Dockerfile contains a bunch of commands to build PHP Laravel application.

### **Container Registry**

The Registry is an online image store for container images. Below mentioned options are few most popular registries.

- [Private Docker Hub](https://docs.docker.com/registry/)
- AWS ECR
- Docker Store
- [Google Container Registry](https://cloud.google.com/container-registry/)

> Continuous delivery is a branch of continuous integration. It concentrates on automating the software delivery process. Source- [Continuous Delivery Pipeline with Jenkins](https://www.xenonstack.com/blog/continuous-delivery-jenkins-pipeline)

## **How to write a Dockerfile for Scala Application?**

 At the time of writing this blog, I haven\`t got any official image of Scala sbt so I decided to build a base image for Scala sbt. In this image, we are using OpenJDK 8 as a development environment and Scala sbt 0.13.

```

FROM openjdk: 8
RUN apt - get update\ && apt - get install apt - transport - https - y
RUN echo "deb https://dl.bintray.com/sbt/debian /" | tee - a / etc / apt / sources.list.d / sbt.list\ && apt - key adv--keyserver hkp: //keyserver.ubuntu.com:80 --recv 2EE0EA64E40A89B84B2DF73499E82A75642AC823 \
 && apt - get update\ && apt - get install sbt - y\ && rm - rf /
 var / lib / apt / lists /*
```

### **Building Scala Base Image**

 The Below mentioned command will build your scala base container image.

```

$ docker build -t scala-sbt:0.13
```

### **Dockerfile (Application)**

 As Scala sbt doesn't have any official image of Docker container so we will be using above created image of Scala sbt as a base image for Scala applications.

```

FROM scala - sbt: 0.13

MAINTAINER XenonStack

# Creating Home Directory in container
RUN mkdir - p / usr / src / app

# Setting Home Directory
WORKDIR / usr / src / app

# Copying src code to Container
COPY. / usr / src / app

# Compiling Scala Code
RUN sbt compile

# Exposing Port
EXPOSE 3000

# Running Scala Application
CMD["sbt", "run"]
```

### **Building Scala Application Image**

 The below-mentioned command will build your application container image.

```

$ docker build -t <name application="" of="" scala="" your="">:<version application="" of="">
```

### **Publishing Scala Application Container Image**

 Now we publish the container image on Private Docker Registry.

- Login to Container Registry

```

$ docker login < dns link of private container registry >
 Username: xxxx
Password: xxxxx
```

- Retag Container Images

```

$ docker tag <name application="" of="" your="">:<version application="" of="" your=""> <privater name="" registry="">/<name of="" repository="" your="">:<version application="" of="" your="">
```

- Push Application container Images

```

$ docker push &amp;lt; privater registry name &amp;gt; /&lt;name of="" repository="" your=""&gt;:&lt;version application="" of="" your=""&gt;
```

Reference Link for Pull and Push to [Quay.io](https://docs.quay.io/guides/pushpull.html) docker registry. Similarly, we can push or pull any container image to any of below-mentioned container registry like Docker Hub, AWS ECR, Private Docker Registry, Google Container Registry etc.

## **Creating Deployment files in Scala Application for Kubernetes**

Deploying application on kubernetes with ease using deployment and service files either in JSON or YAML format.

- **Deployment File**

 Following Content is for “ ***\<name of application\>.***deployment.yml” file of python container application.

```

apiVersion: extensions / v1beta1
kind: Deployment
metadata:
 name: < name of application >
 namespace: < namespace of Kubernetes >
 spec:
 replicas: < number of application pods >
 template:
 metadata:
 labels:
 k8s - app: < name of application >
 spec:
 containers:
 -name: < name of application >
 image: < image name > : < version tag >
 imagePullPolicy: "IfNotPresent"
ports:
 -containerPort: 9000
```

- **Service File**

 Following Content is for “ ***\<name of application\>.***service.yml” file of python container application.

```

apiVersion: v1
kind: Service
metadata:
 labels:
 k8s - app: < name of application >
 name: < name of application >
 namespace: < namespace of Kubernetes >
 spec:
 type: NodePort
ports:
 -port: 9000
selector:
 k8s - app: < name of application >
 
```

## **Deploying Scala Application in Kubernetes**

 Scala Container Application can be deployed either by kubernetes Dashboard or Kubectl (Command line). I\`m explaining the command line that you can use in production kubernetes cluster.

```

$ kubectl create -f <name application="" of="">.deployment.yml
$ kubectl create -f <name application="" of="">.service.yml
```

 Now we have successfully deployed it's Application on Kubernetes.

## **Verification of Dockerfile in Scala Application**

 We can verify application deployment either by using Kubectl or Kubernetes Dashboard. Below mentioned command will show you running pods of your application with status running/terminated/stop/created.

```

$ kubectl get po --namespace=<namespace kubernetes="" of=""> | grep <application name="">
```

## **Testing Dockerfile in Scala Application**

 Get the External Node Port using the below mentioned command. External Node Port is in the range from 30000 to 65000.

```

$ kubectl get svc--namespace = < namespace of kubernetes > | grep < application name >
```

 Launch web Browser and open any of the below-mentioned URLs.

- http://\<kubernetes master ip address \>: \<application service port number\>
- http://\<cluster ip address \>: \<application port number\>

> Develop and Deploy Python Application using Docker and Kubernetes and adopt DevOps in existing Python Applications. Source- [Deploying Python Application on Docker & Kubernetes](https://www.xenonstack.com/blog/java-jenkins-pipeline)

## **Troubleshooting Dockerfile in Scala Application**

- Check Status of Pods.
- Check Logs of Pods/Containers.
- Check Service Port Status.
- Check requirements/dependencies of the application.

## **How can XenonStack help you?**

<iframe id="xenonytplayer" class="xenon-video-iframe hs-responsive-embed-iframe" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: none;" xml="lang" src="https://www.youtube.com/embed/-OHRlooPo5w?enablejsapi=1&amp;autoplay=0&amp;mute=1&amp;loop=0&amp;rel=0&amp;fs=0&amp;showinfo=0&amp;modestbranding=1&amp;autohide=1&amp;controls=1" width="640" height="360" frameborder="0" allowfullscreen data-service="youtube"></iframe>

 Our [DevOps Consulting Services](https://www.xenonstack.com/services/devops/) provides DevOps Assessment and Audit of your existing Infrastructure, Development Environment and Integration. Our DevOps Professional Services includes -

### **Continuous Integration & Continuous Deployment**

 Enable Secure Continuous Integration and Continuous Delivery Pipeline with Jenkins/Bamboo/TeamCity for delivery, automation, self-service environment, and On-demand. Deploy PHP Laravel Application to production by decreasing the time by the automation of entire delivery pipeline comprising build, deploy, test, and release.

### **Continuous Deployment Cloud Hosting**

 XenonStack Continuous Deployment [Cloud Hosting Services](https://www.xenonstack.com/services/cloud/)for Scala Applications lets you clone your production to staging cluster in less than a minute. Develop, Deploy and Manage your PHP Laravel Application on leading Cloud Service Providers - [AWS](https://aws.amazon.com/), [Microsoft Azure](https://azure.microsoft.com/en-in/), [Google Cloud](https://cloud.google.com/), and Container Environment - Kubernetes and Docker.

### **Application Modernization Services**

 Application Modernization Services enable the migration of monolithic applications to new Microservices architecture with Native Cloud Support including the integration of new functionality to create new value from the existing application.

- Read here about [CI/CD Pipeline Tools and its Use Cases](https://www.xenonstack.com/blog/ci/cd-pipeline-tools)
- Explore here about [Deploying Java Microservices Application on Kubernetes](https://www.xenonstack.com/blog/java-jenkins-pipeline)

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## Explore Related Topics

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[Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry)

[XAI](https://www.xenonstack.com/blog/tag/xai)

[Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents)

[MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai)

![navdeep-singh-gill](https://www.xenonstack.com/hubfs/navdeep-gill-ceo-xenonstack.svg)

## Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance.

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## AI Engineering

[Composite AI](https://www.xenonstack.com/artificial-intelligence/composite-ai/) [Decision AI](https://www.xenonstack.com/artificial-intelligence/decision-ai/) [AI Quality](https://www.xenonstack.com/artificial-intelligence/ai-quality/) [Generative AI](https://www.xenonstack.com/artificial-intelligence/generative-ai/) [Multimodal AI](https://www.xenonstack.com/artificial-intelligence/multimodal-ai/) [AI Assurance](https://www.xenonstack.com/artificial-intelligence/explainable-ai/) [MLOps](https://www.xenonstack.com/artificial-intelligence/mlops/) [Physical AI](https://www.xenonstack.com/artificial-intelligence/physical-ai/) [Augmented Engineering](https://www.xenonstack.com/artificial-intelligence/ai-augmented-software-development/) [Generative BI](https://www.xenonstack.com/artificial-intelligence/generative-bi/)

## Data Foundry

[Streaming Data Platform](https://www.xenonstack.com/dataops/streaming-data-platform/) [Data Lakehouse](https://www.xenonstack.com/dataops/delta-lake/) [Data Catalog](https://www.xenonstack.com/dataops/data-catalog/) [Data Observability](https://www.xenonstack.com/dataops/data-observability/) [Cloud Data Warehouse](https://www.xenonstack.com/dataops/cloud-data-warehouse/) [Data Engineering](https://www.xenonstack.com/dataops/data-engineering/) [MetaData Management](https://www.xenonstack.com/dataops/metadata-management/) [Data Quality](https://www.xenonstack.com/dataops/augmented-data-quality/) [Real Time Analytics](https://www.xenonstack.com/dataops/real-time-analytics/) [Data Modernization](https://www.xenonstack.com/dataops/data-modernization/)

## Platform Engineering

[Cloud Native](https://www.xenonstack.com/cloud-native/platform-engineering/) [Automation As Code](https://www.xenonstack.com/cloud-native/automation-as-code/) [Observability](https://www.xenonstack.com/cloud-native/observability/) [FinOps](https://www.xenonstack.com/cloud-native/finops/) [Application Modernization](https://www.xenonstack.com/cloud-native/application-modernization/) [DevSecOps](https://www.xenonstack.com/cloud-native/devsecops/) [Site Reliability Engineering](https://www.xenonstack.com/cloud-native/site-reliability-engineering/) [Progressive Delivery](https://www.xenonstack.com/cloud-native/progressive-delivery/) [GitOps](https://www.xenonstack.com/cloud-native/gitops/) [Compliance as code](https://www.xenonstack.com/cloud-native/compliance-as-code/) [Value Stream Management](https://www.xenonstack.com/cloud-native/value-stream-management/) [Policy as Code](https://www.xenonstack.com/cloud-native/policy-as-code/) [Telemetry Pipeline](https://www.xenonstack.com/cloud-native/telemetry-pipeline/)

## Agentic AI

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## AI Agents

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## Enterprise Support

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## Solutions

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## Company

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## Agent SRE for Reliability and Observability Solutions

 AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability

- ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues
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[Explore Agent SRE](https://agentsre.ai/)

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✕

## Physical Surveillance with Vision AI Agent Technology

 AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly

- ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion
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[See Vision AI in Action](https://www.xenonstack.ai/)

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✕

## Agentic Data Intelligence Across Your Full Data Stack

 Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics

- ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources
- ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language
- ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations

[See in Action](https://elixirdata.co/)

![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg)

✕

## Intelligent Diagnostic for Self-Healing System Automation

 Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment

- ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors
- ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues
- ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies

[See in Action](https://agentanalyst.ai/)

![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg)

✕

## Agentic GRC - Monitoring Risk and Compliance Controls

 AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready

- ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS
- ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits
- ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations

[Explore Agent GRC](https://agentgrc.ai/)

![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg)

✕

## Agentic Finance and Procurement Intelligent Agents

 Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter

- ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments
- ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance
- ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions

[Optimize Finance & Procurement](https://www.xenonify.ai/)

![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg)

```json
{
  "@context" : "https://schema.org",
  "@type" : "BlogPosting",
  "author" : {
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  },
  "dateModified" : "2024-08-29T10:06:04.629Z",
  "datePublished" : "2023-06-02T04:00:00.000Z",
  "headline" : "Building CI/CD Pipeline for Scala Application on Kubernetes",
  "image" : [ "https://www.xenonstack.com/hubfs/xenonstack-deploying-scala-application-on-kubernetes.png" ],
  "mainEntityOfPage" : {
    "@id" : "https://www.xenonstack.com/blog/continuous-delivery-scala-kubernetes",
    "@type" : "WebPage"
  },
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    "logo" : {
      "@type" : "ImageObject",
      "url" : "https://www.xenonstack.com/hubfs/Xenonstack-Serives%20-3-2-2021-10.png"
    },
    "name" : "Xenonstack Inc"
  }
}
```

```json
{
  "@context" : "http://schema.org",
  "@type" : "Organization",
  "address" : {
    "@type" : "PostalAddress",
    "addressCountry" : "USA",
    "addressLocality" : "Plano",
    "addressRegion" : "Texas",
    "postalCode" : "75024",
    "streetAddress" : "7700 Windrose Ave. "
  },
  "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.",
  "email" : "business@xenonstack.com",
  "logo" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png",
  "mainEntityOfPage" : {
    "@id" : "https://www.xenonstack.com/blog/continuous-delivery-scala-kubernetes",
    "@type" : "WebPage",
    "description" : "Continuous Delivery Pipeline for Continuous Integration and deployment of Scala Microservices application with Jenkins, Docker and Kubernetes."
  },
  "name" : "XenonStack",
  "sameAs" : [ "https://www.facebook.com/XenonStack", "https://www.linkedin.com/company/xenonstack/", "https://www.youtube.com/c/XenonStackOfficial", "https://twitter.com/xenonstack" ],
  "telephone" : "",
  "url" : "https://www.xenonstack.com/"
}
```

```json
{
  "@context" : "http://schema.org",
  "@type" : "BlogPosting",
  "author" : {
    "@type" : "Person",
    "name" : "Navdeep Singh Gill"
  },
  "dateModified" : "August 29, 2024, 10:06:04 AM",
  "datePublished" : "2023-06-02 04:00:00",
  "description" : "Continuous Delivery Pipeline for Continuous Integration and deployment of Scala Microservices application with Jenkins, Docker and Kubernetes.",
  "headline" : "Building CI/CD Pipeline for Scala Application on Kubernetes",
  "image" : {
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    "url" : "https://www.xenonstack.com/hubfs/xenonstack-deploying-scala-application-on-kubernetes.png"
  },
  "mainEntityOfPage" : {
    "@id" : "https://www.xenonstack.com/blog/continuous-delivery-scala-kubernetes",
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  },
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  }
}
```