Kuberenetes SIG Jenkins
•Download as PPTX, PDF•
0 likes•163 views
The Kubernetes CI plugin allows Jenkins to integrate with Kubernetes clusters to automate the lifecycle of Jenkins slaves and build CI/CD pipelines using Charts. It provides a Jenkins plugin for Kubernetes that accepts contributions under an Apache 2.0 or MIT license and is available on GitHub at github.com/ElasticBox/kubernetes-ci-plugin. The plugin aims to differentiate itself from other Kubernetes plugins by focusing on the CI/CD workflow.
Report
Share
Report
Share
Recommended
CI CD with Docker and Kubernetes
This document discusses continuous integration and continuous deployment (CI/CD) with Docker and Kubernetes. It begins with an introduction to the presenter and an overview of previous parts of an AKS learning series. The document then covers CI/CD topics like building pipelines in Azure DevOps, deploying containers to an AKS cluster using kubectl and Helm, and references additional resources. Code demonstrations are provided for CI with Build Pipelines, continuous deployment to AKS with kubectl and Helm, and a release pipeline.
Debug and Monitor Multi-container Apps on AKS
The slides are related to Azure learning series Hands on series. This is the fifth part of the series where we cover the debugging and monitoring containers deployed to a managed Kubernetes cluster. The Kubernetes cluster is provisioned using Azure Kubernetes Service (AKS). Azure container monitoring is used as one of the options. For the open source solution, we liked at Prometheus and Grafana.
Unlimited Staging Environments on Kubernetes
How to run complete, disposable apps on Kubernetes for Staging and Development
What if you could rapidly spin up new environments in a matter of minutes entirely from scratch, triggered simply by the push of a button or automatically for every Pull Request or Branch. Would that be cool?
That’s what we thought too! Companies running complex microservices architectures need a better way to do QA, prototype new features & discuss changes. We want to show that there’s a simpler way to collaborate and it’s available today if you’re running Kubernetes.
Tune in to learn how you can assemble 100% Open Source components with a CodeFresh CI/CD Pipeline to deploy your full stack for any branch and expose it on a unique URL that you can share. Not only that, we ensure that it’s fully integrated with CI/CD so console expertise is not required to push updates. Empower designers and front-end developers to push code freely. Hand it over to your sales team so they can demo upcoming features for customers! The possibilities are truly unlimited. =)
Ansible at glogster
This document summarizes how Ansible is used at Glogster. It discusses that Ansible was chosen over other tools like Puppet for its simplicity. Ansible is used to deploy RPM packages, manage services, and disable/enable monitoring across environments. It is also used with Jenkins for deployments and isolated tests. Ansible is ideal for security patches, package updates, and new server provisioning via roles, tags, and replacing tools like cssh/pssh. The document encourages keeping everything in Git, avoiding redundant logic, using tags, and treating Ansible as both tests and documentation for servers. It also discusses desires like using Docker, wrapping infrastructure in a single playbook, using dynamic inventory, and keeping facts in cache.
Unlimited Staging Environments
Watch the webinar here: https://codefresh.io/unlimited-staging-environments-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
How to run complete, disposable apps on Kubernetes or Staging and Development.
See the full video webinar on our blog at https://codefresh.io/webinars/unlimited_staging_environments_webinar/
OpenWhisk and IBM cloud functions
Apache OpenWhisk is a serverless event-based programming service and an Apache Incubator project. http://openwhisk.org
Breaking Bad Habits with GitLab CI
This document discusses how to break bad habits by using GitLab CI to automate routine tasks. It provides examples of automating tests, packaging code, and deploying artifacts and websites. Specifically, it shows how to:
1. Run automated tests with GitLab CI
2. Package code into downloadable artifacts
3. Deploy packages and websites to AWS S3 and GitLab Pages
4. Separate testing and production using environments
5. Allow multiple developers to work on the same project simultaneously
6. Avoid mistakes by not deploying directly to production
GitLab Product Update March 27
The document discusses recent updates to a product including a new project manager starting May 1st. It also covers cool new features in upcoming versions 10.6 and 10.7 like continuous integration/continuous delivery for GitHub, a single group board in Libre, and single sign-on for GitLab.com. The author notes things they've learned recently about cloud computing, the popularity of issues, the growth of Kubernetes, and opportunities in the industry. The next major version 11.0 is scheduled for June 22nd and the document invites questions.
Recommended
CI CD with Docker and Kubernetes
This document discusses continuous integration and continuous deployment (CI/CD) with Docker and Kubernetes. It begins with an introduction to the presenter and an overview of previous parts of an AKS learning series. The document then covers CI/CD topics like building pipelines in Azure DevOps, deploying containers to an AKS cluster using kubectl and Helm, and references additional resources. Code demonstrations are provided for CI with Build Pipelines, continuous deployment to AKS with kubectl and Helm, and a release pipeline.
Debug and Monitor Multi-container Apps on AKS
The slides are related to Azure learning series Hands on series. This is the fifth part of the series where we cover the debugging and monitoring containers deployed to a managed Kubernetes cluster. The Kubernetes cluster is provisioned using Azure Kubernetes Service (AKS). Azure container monitoring is used as one of the options. For the open source solution, we liked at Prometheus and Grafana.
Unlimited Staging Environments on Kubernetes
How to run complete, disposable apps on Kubernetes for Staging and Development
What if you could rapidly spin up new environments in a matter of minutes entirely from scratch, triggered simply by the push of a button or automatically for every Pull Request or Branch. Would that be cool?
That’s what we thought too! Companies running complex microservices architectures need a better way to do QA, prototype new features & discuss changes. We want to show that there’s a simpler way to collaborate and it’s available today if you’re running Kubernetes.
Tune in to learn how you can assemble 100% Open Source components with a CodeFresh CI/CD Pipeline to deploy your full stack for any branch and expose it on a unique URL that you can share. Not only that, we ensure that it’s fully integrated with CI/CD so console expertise is not required to push updates. Empower designers and front-end developers to push code freely. Hand it over to your sales team so they can demo upcoming features for customers! The possibilities are truly unlimited. =)
Ansible at glogster
This document summarizes how Ansible is used at Glogster. It discusses that Ansible was chosen over other tools like Puppet for its simplicity. Ansible is used to deploy RPM packages, manage services, and disable/enable monitoring across environments. It is also used with Jenkins for deployments and isolated tests. Ansible is ideal for security patches, package updates, and new server provisioning via roles, tags, and replacing tools like cssh/pssh. The document encourages keeping everything in Git, avoiding redundant logic, using tags, and treating Ansible as both tests and documentation for servers. It also discusses desires like using Docker, wrapping infrastructure in a single playbook, using dynamic inventory, and keeping facts in cache.
Unlimited Staging Environments
Watch the webinar here: https://codefresh.io/unlimited-staging-environments-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
How to run complete, disposable apps on Kubernetes or Staging and Development.
See the full video webinar on our blog at https://codefresh.io/webinars/unlimited_staging_environments_webinar/
OpenWhisk and IBM cloud functions
Apache OpenWhisk is a serverless event-based programming service and an Apache Incubator project. http://openwhisk.org
Breaking Bad Habits with GitLab CI
This document discusses how to break bad habits by using GitLab CI to automate routine tasks. It provides examples of automating tests, packaging code, and deploying artifacts and websites. Specifically, it shows how to:
1. Run automated tests with GitLab CI
2. Package code into downloadable artifacts
3. Deploy packages and websites to AWS S3 and GitLab Pages
4. Separate testing and production using environments
5. Allow multiple developers to work on the same project simultaneously
6. Avoid mistakes by not deploying directly to production
GitLab Product Update March 27
The document discusses recent updates to a product including a new project manager starting May 1st. It also covers cool new features in upcoming versions 10.6 and 10.7 like continuous integration/continuous delivery for GitHub, a single group board in Libre, and single sign-on for GitLab.com. The author notes things they've learned recently about cloud computing, the popularity of issues, the growth of Kubernetes, and opportunities in the industry. The next major version 11.0 is scheduled for June 22nd and the document invites questions.
5 cool ways to get started with Cloud Native Development ( with Okteto)
This document introduces 5 cool ways to get started with cloud native development: 1) Okteto Stacks for developing with docker-compose in the cloud native world, 2) Okteto Push to push code to Kubernetes in seconds, 3) VS Code Remote for remote development environments in Kubernetes from VS Code, 4) Okteto Actions to build, preview, and ship cloud native apps from Github, and 5) OpenFaaS + Okteto for the easiest way to develop and debug serverless functions. It provides demo links and invites stars, feedback, issues and pull requests on Github.
ConcourseCi Dockerimage
This document summarizes a presentation about managing Docker images with Concourse. It discusses building Docker images from a Dockerfile, triggering image builds when the Dockerfile or dependencies change. It also covers storing and pushing images, and using a Concourse pipeline to check for new images and code commits, rebuild images, tag images and the code repository with the new version.
Selenium Testing your Kubernetes Apps with Machine Learning and Testim
**WATCH THE FULL WEBINAR HERE: https://codefresh.io/testim-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
There are two big hurdles to solve when adding UI testing to your software delivery pipeline:
1) How to stand up an environment and
2) How to create tests that scale
In this webinar, testing expert Oren Rubin will join Kubernaut Dan Garfield to present how machine learning, Kubernetes pipelines, and Testim can make test creation painless and easy to accomplish. We'll make continuous delivery a reality.
Product update nov 7
GitLab plans to release version 22 of their software by February 22nd, 2022 to coincide with that date of 2/22/2022. Their Enterprise Edition Ultimate product, recently released in version 10.2, provides a complete DevOps platform to replace multiple individual tools and is available at the same price as their Enterprise Edition for a limited time. GitLab prioritizes their Enterprise Edition Premium product, working to demonstrate its value as it represents their most important revenue source, challenging to position it as worth 5 times more than their starter edition.
Git
Git is a version control system that allows tracking changes to files and coordinating work among contributors. It provides commands to initialize a repository, add and commit changes, clone or pull from existing repositories, and branch and merge codebases. Git uses a three-stage process where files can be modified, staged for commit, and permanently committed. Branching enables parallel development while merging integrates changes. Additional useful commands include diff to compare changes, log to view history, and blame to see who last modified each line of a file.
Breaking bad habits with GitLab CI
1. The document discusses using GitLab CI to automate software development tasks like testing, packaging, and deployment.
2. It provides examples of configuring GitLab CI pipelines to run tests, package code as gzip and ISO files, and deploy artifacts to S3 storage and GitLab pages.
3. The document also covers more advanced topics like using environments to separate staging and production, enabling manual deployment for production, and automatically deploying feature branches to separate review environments.
Jenkins vs GitLab CI
This document compares GitLab CI and Jenkins for continuous integration. It discusses how GitLab CI is integrated directly into GitLab while Jenkins is a separate product. It also covers differences in programming languages used, configuration approaches, and extensibility through plugins. The document then demonstrates how to set up a sample CI/CD pipeline in GitLab CI to package and deploy code and websites for different environments.
Using Docker in Production
CloudHero is a consultancy and infrastructure management company that is working on launching a product for full stack management and reporting of cloud infrastructure, servers, and containers. They were hired by Zonga, Romania's largest commercial music streaming service, to manage their infrastructure consisting of 30 servers across 2 datacenters storing 50+ TB of data. Previously, CloudHero struggled with slow and inconsistent deployments across environments due to differences in package and operating system versions on each server. They started using Docker to build standardized container images for each service and deploy them across all environments, which resulted in faster deployments, boot times under 1 second, easy rollbacks, and more efficient usage of host machine resources.
Introducing GitLab (June 2018)
This document provides an overview and agenda for introducing GitLab tools. It discusses trends in modern development like increased use of open source tools and continuous integration/deployment. GitLab is presented as a one platform solution that provides version control, issue tracking, code review, CI/CD pipelines, and other DevOps tools. Key benefits of GitLab like open source contributions and frequent releases are outlined. Upcoming features in GitLab 11 like CI pipelines in the web IDE and license management are previewed. The presentation concludes with a Q&A and information on how to get a GitLab cheat sheet.
QCon Plus From monoliths to k8s - Workshop
This document outlines a 5-step workshop to migrate a monolithic application to Kubernetes. It involves:
1. Creating accounts and infrastructure on Google Cloud and Camunda Cloud
2. Checking the Kubernetes cluster and installing Knative
3. Deploying the initial app version using Knative Serving
4. Deploying version 2 for visibility using Knative Eventing and Camunda Cloud
5. Deploying version 3 for workflow orchestration using Knative Eventing, pub/sub, and Camunda Cloud.
The workshop addresses challenges in migrating to Kubernetes and provides next steps for learning more about Knative, event orchestration, and focusing on business value.
Terraform GitOps on Codefresh
**Watch the full webinar at https://codefresh.io/events/terraform-gitops-codefresh/
Today we write "Infrastructure as Code" and even "Pipelines as Code", so let's start treating our "code as code" and practice CI/CD with GitOps! In this talk, we'll show you how we build and deploy applications with Terraform using GitOps and Codefresh. Cloud Posse is a Terraform power user that has developed over 130 Terraform modules which are free and open source. We'll share how we handle automation with security while making the process easy for engineers.
GitHub Actions with Node.js
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
CI/CD with GitHub Actions
This document discusses GitHub Actions for continuous integration and continuous delivery (CI/CD). It provides an overview of GitHub Actions, why they are useful, core concepts, and pricing. The key points are: GitHub Actions allow automating workflows from development to production using Linux, Windows, and macOS runners. They offer built-in secrets management, matrix builds, multi-container testing, and live logs. Pricing is free for public repositories and includes a generous monthly allowance for private repositories. The presenter then demonstrates GitHub Actions in a live demo.
Concourse and Database
- Concourse is a open source CI/CD tool that allows building and testing projects in containers. It uses a pluggable resource interface to check for changes and run builds in isolated containers.
- While Concourse natively supports running builds in containers, it does not support running external services like databases that may be needed to test against.
- One solution is to use "Docker in Docker in Garden" (DCINDG), which runs a Docker daemon inside a Docker container managed by Concourse's Garden container runtime. This allows testing tasks to use Docker Compose to stand up external services in isolated containers.
- The presentation demonstrated this approach with a sample project on GitHub and discussed Concourse concepts like jobs, resources
Intro to Kubernetes Workshop — Innovation Labs July 2020
This presentation was the foundation of our Introduction to Kubernetes workshop hosted by CloudHero CTO Andrei Petrescu for the Innovation Labs teams on the 23rd of July 2020.
This presentation covers the following topics:
-Kubernetes Architecture
-Communicating with the API
-Application Building Blocks
To find out more about this topic, check https://cloudhero.io/
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
Steven Pousty presented on getting developers to use cloud platforms. Some problems developers face are not having root access, different deployment models than hosting servers, needing to build horizontally scalable apps, and expecting a virtual private server. Issues include a lack of documentation, not teaching horizontal scalability, and a different local vs cloud experience. Solutions proposed are using Docker to provide a familiar environment, building more modular applications, helping database and app servers move to the cloud, and balancing sysadmin and developer needs. The presentation ended with an open discussion.
Skip Staging! Test Docker, Helm, and Kubernetes Apps like a Pro
>>Watch the full presentation, demo, and live Q&A here: https://codefresh.io/saucelabs-lp
The traditional "staging" model is getting in the way of adequately testing our applications. With the power of Kubernetes, Helm, Saucelabs, and Codefresh we can dramatically speed up and improve the quality of integration testing using short-lived environments.
Join Kubernaut Dan Garfield as he shows you how to:
- Create Automated short-lived environments for every commit/branch,
- run integration tests in a scalable way, and
- use Helm, Kubernetes, Codefresh, and Saucelabs integrations
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
Concourse webhook
This document discusses using webhooks in Concourse pipelines to reduce API calls. It begins with an introduction and background on the author. It then provides an overview of Concourse architecture and the roles of the ATC, workers, and resources/jobs. Next, it explains how webhooks can be used resource-agnostically in Concourse by defining a webhook token. It describes how webhooks allow external services like GitHub to notify Concourse of changes instead of Concourse constantly checking. Finally, it mentions a demo, online resources, documentation, Slack community, and invites questions.
[Open stack] heat + docker
An alternative to the Nova driver, this presentation is about orchestrating Docker containers with OpenStack Heat!
Training and serving Tensorflow with Kubernetes on Azure
This document discusses OpenAI's use of Kubernetes to scale machine learning workflows. It describes setting up a 2500 node Kubernetes cluster using AKS or acs-engine. It then demonstrates running various machine learning tasks on Kubernetes like TensorFlow jobs, JupyterHub, hyperparameter tuning, and TensorFlow model serving. Links are provided to GitHub repositories containing code samples and tutorials for running common ML workflows on Kubernetes and Kubeflow. The goal is to make deploying and managing machine learning applications on large Kubernetes clusters simple, portable, and scalable.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
More Related Content
What's hot
5 cool ways to get started with Cloud Native Development ( with Okteto)
This document introduces 5 cool ways to get started with cloud native development: 1) Okteto Stacks for developing with docker-compose in the cloud native world, 2) Okteto Push to push code to Kubernetes in seconds, 3) VS Code Remote for remote development environments in Kubernetes from VS Code, 4) Okteto Actions to build, preview, and ship cloud native apps from Github, and 5) OpenFaaS + Okteto for the easiest way to develop and debug serverless functions. It provides demo links and invites stars, feedback, issues and pull requests on Github.
ConcourseCi Dockerimage
This document summarizes a presentation about managing Docker images with Concourse. It discusses building Docker images from a Dockerfile, triggering image builds when the Dockerfile or dependencies change. It also covers storing and pushing images, and using a Concourse pipeline to check for new images and code commits, rebuild images, tag images and the code repository with the new version.
Selenium Testing your Kubernetes Apps with Machine Learning and Testim
**WATCH THE FULL WEBINAR HERE: https://codefresh.io/testim-lp/
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
There are two big hurdles to solve when adding UI testing to your software delivery pipeline:
1) How to stand up an environment and
2) How to create tests that scale
In this webinar, testing expert Oren Rubin will join Kubernaut Dan Garfield to present how machine learning, Kubernetes pipelines, and Testim can make test creation painless and easy to accomplish. We'll make continuous delivery a reality.
Product update nov 7
GitLab plans to release version 22 of their software by February 22nd, 2022 to coincide with that date of 2/22/2022. Their Enterprise Edition Ultimate product, recently released in version 10.2, provides a complete DevOps platform to replace multiple individual tools and is available at the same price as their Enterprise Edition for a limited time. GitLab prioritizes their Enterprise Edition Premium product, working to demonstrate its value as it represents their most important revenue source, challenging to position it as worth 5 times more than their starter edition.
Git
Git is a version control system that allows tracking changes to files and coordinating work among contributors. It provides commands to initialize a repository, add and commit changes, clone or pull from existing repositories, and branch and merge codebases. Git uses a three-stage process where files can be modified, staged for commit, and permanently committed. Branching enables parallel development while merging integrates changes. Additional useful commands include diff to compare changes, log to view history, and blame to see who last modified each line of a file.
Breaking bad habits with GitLab CI
1. The document discusses using GitLab CI to automate software development tasks like testing, packaging, and deployment.
2. It provides examples of configuring GitLab CI pipelines to run tests, package code as gzip and ISO files, and deploy artifacts to S3 storage and GitLab pages.
3. The document also covers more advanced topics like using environments to separate staging and production, enabling manual deployment for production, and automatically deploying feature branches to separate review environments.
Jenkins vs GitLab CI
This document compares GitLab CI and Jenkins for continuous integration. It discusses how GitLab CI is integrated directly into GitLab while Jenkins is a separate product. It also covers differences in programming languages used, configuration approaches, and extensibility through plugins. The document then demonstrates how to set up a sample CI/CD pipeline in GitLab CI to package and deploy code and websites for different environments.
Using Docker in Production
CloudHero is a consultancy and infrastructure management company that is working on launching a product for full stack management and reporting of cloud infrastructure, servers, and containers. They were hired by Zonga, Romania's largest commercial music streaming service, to manage their infrastructure consisting of 30 servers across 2 datacenters storing 50+ TB of data. Previously, CloudHero struggled with slow and inconsistent deployments across environments due to differences in package and operating system versions on each server. They started using Docker to build standardized container images for each service and deploy them across all environments, which resulted in faster deployments, boot times under 1 second, easy rollbacks, and more efficient usage of host machine resources.
Introducing GitLab (June 2018)
This document provides an overview and agenda for introducing GitLab tools. It discusses trends in modern development like increased use of open source tools and continuous integration/deployment. GitLab is presented as a one platform solution that provides version control, issue tracking, code review, CI/CD pipelines, and other DevOps tools. Key benefits of GitLab like open source contributions and frequent releases are outlined. Upcoming features in GitLab 11 like CI pipelines in the web IDE and license management are previewed. The presentation concludes with a Q&A and information on how to get a GitLab cheat sheet.
QCon Plus From monoliths to k8s - Workshop
This document outlines a 5-step workshop to migrate a monolithic application to Kubernetes. It involves:
1. Creating accounts and infrastructure on Google Cloud and Camunda Cloud
2. Checking the Kubernetes cluster and installing Knative
3. Deploying the initial app version using Knative Serving
4. Deploying version 2 for visibility using Knative Eventing and Camunda Cloud
5. Deploying version 3 for workflow orchestration using Knative Eventing, pub/sub, and Camunda Cloud.
The workshop addresses challenges in migrating to Kubernetes and provides next steps for learning more about Knative, event orchestration, and focusing on business value.
Terraform GitOps on Codefresh
**Watch the full webinar at https://codefresh.io/events/terraform-gitops-codefresh/
Today we write "Infrastructure as Code" and even "Pipelines as Code", so let's start treating our "code as code" and practice CI/CD with GitOps! In this talk, we'll show you how we build and deploy applications with Terraform using GitOps and Codefresh. Cloud Posse is a Terraform power user that has developed over 130 Terraform modules which are free and open source. We'll share how we handle automation with security while making the process easy for engineers.
GitHub Actions with Node.js
Focus on what matters: code
How to use and develop a GitHub Actions workflow using Node.js
With GitHub Actions (https://github.com/features/actions) you can automate your workflow from idea to production.
Actions can be written in any language, but we will take a closer look in how to write our workflow using Node.js and interact with the full GitHub API.
CI/CD with GitHub Actions
This document discusses GitHub Actions for continuous integration and continuous delivery (CI/CD). It provides an overview of GitHub Actions, why they are useful, core concepts, and pricing. The key points are: GitHub Actions allow automating workflows from development to production using Linux, Windows, and macOS runners. They offer built-in secrets management, matrix builds, multi-container testing, and live logs. Pricing is free for public repositories and includes a generous monthly allowance for private repositories. The presenter then demonstrates GitHub Actions in a live demo.
Concourse and Database
- Concourse is a open source CI/CD tool that allows building and testing projects in containers. It uses a pluggable resource interface to check for changes and run builds in isolated containers.
- While Concourse natively supports running builds in containers, it does not support running external services like databases that may be needed to test against.
- One solution is to use "Docker in Docker in Garden" (DCINDG), which runs a Docker daemon inside a Docker container managed by Concourse's Garden container runtime. This allows testing tasks to use Docker Compose to stand up external services in isolated containers.
- The presentation demonstrated this approach with a sample project on GitHub and discussed Concourse concepts like jobs, resources
Intro to Kubernetes Workshop — Innovation Labs July 2020
This presentation was the foundation of our Introduction to Kubernetes workshop hosted by CloudHero CTO Andrei Petrescu for the Innovation Labs teams on the 23rd of July 2020.
This presentation covers the following topics:
-Kubernetes Architecture
-Communicating with the API
-Application Building Blocks
To find out more about this topic, check https://cloudhero.io/
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
Steven Pousty presented on getting developers to use cloud platforms. Some problems developers face are not having root access, different deployment models than hosting servers, needing to build horizontally scalable apps, and expecting a virtual private server. Issues include a lack of documentation, not teaching horizontal scalability, and a different local vs cloud experience. Solutions proposed are using Docker to provide a familiar environment, building more modular applications, helping database and app servers move to the cloud, and balancing sysadmin and developer needs. The presentation ended with an open discussion.
Skip Staging! Test Docker, Helm, and Kubernetes Apps like a Pro
>>Watch the full presentation, demo, and live Q&A here: https://codefresh.io/saucelabs-lp
The traditional "staging" model is getting in the way of adequately testing our applications. With the power of Kubernetes, Helm, Saucelabs, and Codefresh we can dramatically speed up and improve the quality of integration testing using short-lived environments.
Join Kubernaut Dan Garfield as he shows you how to:
- Create Automated short-lived environments for every commit/branch,
- run integration tests in a scalable way, and
- use Helm, Kubernetes, Codefresh, and Saucelabs integrations
Sign up for a FREE Codefresh account today: https://codefresh.io/codefresh-signup/
Concourse webhook
This document discusses using webhooks in Concourse pipelines to reduce API calls. It begins with an introduction and background on the author. It then provides an overview of Concourse architecture and the roles of the ATC, workers, and resources/jobs. Next, it explains how webhooks can be used resource-agnostically in Concourse by defining a webhook token. It describes how webhooks allow external services like GitHub to notify Concourse of changes instead of Concourse constantly checking. Finally, it mentions a demo, online resources, documentation, Slack community, and invites questions.
[Open stack] heat + docker
An alternative to the Nova driver, this presentation is about orchestrating Docker containers with OpenStack Heat!
Training and serving Tensorflow with Kubernetes on Azure
This document discusses OpenAI's use of Kubernetes to scale machine learning workflows. It describes setting up a 2500 node Kubernetes cluster using AKS or acs-engine. It then demonstrates running various machine learning tasks on Kubernetes like TensorFlow jobs, JupyterHub, hyperparameter tuning, and TensorFlow model serving. Links are provided to GitHub repositories containing code samples and tutorials for running common ML workflows on Kubernetes and Kubeflow. The goal is to make deploying and managing machine learning applications on large Kubernetes clusters simple, portable, and scalable.
What's hot (20)
5 cool ways to get started with Cloud Native Development ( with Okteto)
5 cool ways to get started with Cloud Native Development ( with Okteto)
Selenium Testing your Kubernetes Apps with Machine Learning and Testim
Selenium Testing your Kubernetes Apps with Machine Learning and Testim
Intro to Kubernetes Workshop — Innovation Labs July 2020
Intro to Kubernetes Workshop — Innovation Labs July 2020
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
London Cloud Summit 2014 - raising the tide: getting developers in the cloud
Skip Staging! Test Docker, Helm, and Kubernetes Apps like a Pro
Skip Staging! Test Docker, Helm, and Kubernetes Apps like a Pro
Training and serving Tensorflow with Kubernetes on Azure
Training and serving Tensorflow with Kubernetes on Azure
Recently uploaded
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Recently uploaded (20)
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Kuberenetes SIG Jenkins
- 2. Jenkins plugin for Kubernetes Integrated experience with Kubernetes clusters Automate Jenkins slave lifecycle Build CI/CD pipelines using Charts What is Kubernetes CI plugin?
- 3. github.com/ElasticBox/kubernetes-ci-plugin Apache 2.0 and MIT Accepting contributions, same CLA than kubernetes Where can I get it?
- 4. Demo
- 5. What is difference between kubernetes and kubernetes-ci plugins? Are you planning to merge the plugins? Do you plan to support anything else other than github? Questions?