CI/CD Development in Kubernetes - Skaffold

Jan 19, 2020Download as PPTX, PDF1 like365 views

Skaffold is an open-source Google Container tool that provides a toolkit for creating CI/CD pipelines for Kubernetes applications. It simplifies the process of building container images, pushing them to registries, and deploying them to Kubernetes clusters. Skaffold monitors source code changes and automatically builds, pushes, and deploys container images. It supports local development workflows as well as deployments to remote clusters. Skaffold improves developer productivity by separating business logic from platform operations management.

CI/CD Development in Kubernetes
- Skaffold

$whoami
 Suman Chakraborty - Senior Devops
Engineer @SAP Labs
 Community member & Speaker -
Docker Bangalore, Collabnix
 Tech Blogger on PaaS, Cloud-Native
& Microservices
https://www.linkedin.com/in/
schakraborty007/
@itsmesumanc

Current Challenges
 Developers creating Kubernetes-native applications spent a long time
building and managing container images across registries, manually updating
their Kubernetes manifests and redeploying their applications every time
they made even the smallest code changes
 Working on building cloud-native application means one has to take care the
complexity in managing the platform.
 Building a full-fledged CI/CD pipeline for local code testing is time-consuming
and takes manual effort.
 Integrating custom modules/plugins to existing CI/CD workflow involves
significant changes in pipeline steps that doubles the effort.
 Current local CI/CD management workflow doesn’t imitate experience close
to production setup.

Introducing Skaffold
 Skaffold is an open-source Google Container tool, written in Golang (licensed under
Apache 2.0) that provides a toolkit for creating CI/CD pipelines. Alpha version – 8th
March,2018
 Skaffold primarily simplifies the “build → deploy → refactor → repeat” cycle.
 Monitors the changes in the source code, starts an automatic process of building code
into container images, pushes these images to the Docker registry and deploys them to
the Kubernetes cluster while synchronizing files in source dir.
 Skaffold itself does not have cluster-side components, so you don’t need to configure
Kubernetes to use it.
 Skaffold not only can run on local Kubernetes cluster (minikube,docker for desktop) but
can build/push images locally with docker and run them on the remote clusters (such as
GKE, EKS,etc).
 Supports debugging applications written in Java, Node.js, Python, Go.
 Currently in GA ( v1.0.0)

Why should we care for Skaffold !!
Advantages :
• Flexible workflows with testers/deployers/push strategies
• Can also tag and push Docker images with customizable tagging
• Built-in integrations with several builders/deployers
• Can deploy with Helm or Kustomize or native Kubectl
• Support for build profiles
• Extensible
• Overall improves developer productivity, separation of business
logic from management platform operations.
Disadvantages:
• Might be overkill for simple applications.
• Complex setup (limited to application complexity)

References
 https://github.com/GoogleContainerTools/skaffold
 https://skaffold.dev/docs/quickstart/
 https://ahmet.im/blog/skaffold/

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Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe. We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved? Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security. Talk from SciFiDevCon 2025 https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5

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Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki

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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers

Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach. Read More:- https://www.esofttools.com/nsf-to-pst-converter.html

How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik

This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements. Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows. We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure. The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.

Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.

Automation Techniques in RPA - UiPath CertificateVICTOR MAESTRE RAMIREZ

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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora

Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.

Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri

AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions

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Interactive odoo dashboards for sales, CRM , Inventory, Invoice, Purchase, Pr...AxisTechnolabs

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Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki

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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers

How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik

Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak

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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora

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CI/CD Development in Kubernetes - Skaffold

1. CI/CD Development in Kubernetes - Skaffold

2. $whoami  Suman Chakraborty - Senior Devops Engineer @SAP Labs  Community member & Speaker - Docker Bangalore, Collabnix  Tech Blogger on PaaS, Cloud-Native & Microservices https://www.linkedin.com/in/ schakraborty007/ @itsmesumanc

3. Current Challenges  Developers creating Kubernetes-native applications spent a long time building and managing container images across registries, manually updating their Kubernetes manifests and redeploying their applications every time they made even the smallest code changes  Working on building cloud-native application means one has to take care the complexity in managing the platform.  Building a full-fledged CI/CD pipeline for local code testing is time-consuming and takes manual effort.  Integrating custom modules/plugins to existing CI/CD workflow involves significant changes in pipeline steps that doubles the effort.  Current local CI/CD management workflow doesn’t imitate experience close to production setup.

4. Introducing Skaffold  Skaffold is an open-source Google Container tool, written in Golang (licensed under Apache 2.0) that provides a toolkit for creating CI/CD pipelines. Alpha version – 8th March,2018  Skaffold primarily simplifies the “build → deploy → refactor → repeat” cycle.  Monitors the changes in the source code, starts an automatic process of building code into container images, pushes these images to the Docker registry and deploys them to the Kubernetes cluster while synchronizing files in source dir.  Skaffold itself does not have cluster-side components, so you don’t need to configure Kubernetes to use it.  Skaffold not only can run on local Kubernetes cluster (minikube,docker for desktop) but can build/push images locally with docker and run them on the remote clusters (such as GKE, EKS,etc).  Supports debugging applications written in Java, Node.js, Python, Go.  Currently in GA ( v1.0.0)

5. Skaffold architecture

6. How Skaffold work

8. Why should we care for Skaffold !! Advantages : • Flexible workflows with testers/deployers/push strategies • Can also tag and push Docker images with customizable tagging • Built-in integrations with several builders/deployers • Can deploy with Helm or Kustomize or native Kubectl • Support for build profiles • Extensible • Overall improves developer productivity, separation of business logic from management platform operations. Disadvantages: • Might be overkill for simple applications. • Complex setup (limited to application complexity)

9. References  https://github.com/GoogleContainerTools/skaffold  https://skaffold.dev/docs/quickstart/  https://ahmet.im/blog/skaffold/

10. HAPPY SKAFFOLDING

CI/CD Development in Kubernetes - Skaffold

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