“Continuous Integration doesn’t get rid of bugs, but it does make them dramatically easier to find and remove” M. Fowler
Jenkins and Docker are cool technologies. Here's how they serve in a continuous integration based process and how they could be exploited to deliver new version of the same software.
The slides present the whole process along with real code snippets.
The Jenkins open source continuous integration server now provides a “pipeline” scripting language which can define jobs that persist across server restarts, can be stored in a source code repository and can be versioned with the source code they are building. By defining the build and deployment pipeline in source code, teams can take full control of their build and deployment steps. The Docker project provides lightweight containers and a system for defining and managing those containers. The Jenkins pipeline and Docker containers are a great combination to improve the portability, reliability, and consistency of your build process.
This session will demonstrate Jenkins and Docker in the journey from continuous integration to DevOps.
IBM Index 2018 Conference Workshop: Modernizing Traditional Java App's with D...Eric Smalling
Slides from my 2.5 hour hands-on workshop covering Docker basics, the Docker MTA program and how it applies to legacy Java applications and some tips on running those apps in containers in production.
Build, Publish, Deploy and Test Docker images and containers with Jenkins Wor...Docker, Inc.
This lightning talk will show you how simple it is to apply CI to the creation of Docker images, ensuring that each time the source is changed, a new image is created, tagged, and published. I will then show how easy it is to then deploy containers from this image and run tests to verify the behaviour.
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & DockerIndicThreads
Continuous Integration (CI) is one of the most important tenets of agile practices. And Continuous Delivery (CD) is impossible without continuous integration. All practices are good and enhance productivity when other good practices and tools back them. For example CI & CD without proper automation test cases can be a killer. It kills the team productivity and puts deliver on risk. Via this session I will try to share my experiences of how CI and CD can be done in optimized fashion (specifically for feature branch based development approach)
We will discuss the best practices and ways of ensuring proper CI and CD in feature branch based development approach.
I will showcase an automated Jenkins based setup, which is geared to ensure that all feature branches and master remain in cohesive harmony.
At the end we will conclude on what are the essential components for ensuring successful CI and CD. We will also discuss what are the associated must haves to make it a success.
Take away for participants
1. Understanding of CI and CD and how CI can lead to CD.
2. How a devops engineer can leverage Jenkins and scripting to automate the CI and CD for feature branch based development.
3. Demo of CI setup devloped on Jenkins.
4. Generic understanding and Q&A related to CI and CD.
5. Learning of how docker can be used in such scenarios.
Session at the IndicThreads.com Confence held in Pune India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
The Jenkins open source continuous integration server now provides a “pipeline” scripting language which can define jobs that persist across server restarts, can be stored in a source code repository and can be versioned with the source code they are building. By defining the build and deployment pipeline in source code, teams can take full control of their build and deployment steps. The Docker project provides lightweight containers and a system for defining and managing those containers. The Jenkins pipeline and Docker containers are a great combination to improve the portability, reliability, and consistency of your build process.
This session will demonstrate Jenkins and Docker in the journey from continuous integration to DevOps.
IBM Index 2018 Conference Workshop: Modernizing Traditional Java App's with D...Eric Smalling
Slides from my 2.5 hour hands-on workshop covering Docker basics, the Docker MTA program and how it applies to legacy Java applications and some tips on running those apps in containers in production.
Build, Publish, Deploy and Test Docker images and containers with Jenkins Wor...Docker, Inc.
This lightning talk will show you how simple it is to apply CI to the creation of Docker images, ensuring that each time the source is changed, a new image is created, tagged, and published. I will then show how easy it is to then deploy containers from this image and run tests to verify the behaviour.
Continuous Integration (CI) and Continuous Delivery (CD) using Jenkins & DockerIndicThreads
Continuous Integration (CI) is one of the most important tenets of agile practices. And Continuous Delivery (CD) is impossible without continuous integration. All practices are good and enhance productivity when other good practices and tools back them. For example CI & CD without proper automation test cases can be a killer. It kills the team productivity and puts deliver on risk. Via this session I will try to share my experiences of how CI and CD can be done in optimized fashion (specifically for feature branch based development approach)
We will discuss the best practices and ways of ensuring proper CI and CD in feature branch based development approach.
I will showcase an automated Jenkins based setup, which is geared to ensure that all feature branches and master remain in cohesive harmony.
At the end we will conclude on what are the essential components for ensuring successful CI and CD. We will also discuss what are the associated must haves to make it a success.
Take away for participants
1. Understanding of CI and CD and how CI can lead to CD.
2. How a devops engineer can leverage Jenkins and scripting to automate the CI and CD for feature branch based development.
3. Demo of CI setup devloped on Jenkins.
4. Generic understanding and Q&A related to CI and CD.
5. Learning of how docker can be used in such scenarios.
Session at the IndicThreads.com Confence held in Pune India on 27-28 Feb 2015
http://www.indicthreads.com
http://pune15.indicthreads.com
Simply your Jenkins Projects with Docker Multi-Stage BuildsEric Smalling
This is a a talk I presented at Jenkins World 2017.
Abstract:
When building Docker images we often use multiple build steps and Dockerfiles to keep the image size down. Using multi-stage Docker builds we can eliminate this complexity, bringing all of the instructions back into a single Dockerfile while still keeping those images nice and small.
One of the most challenging things about building images is keeping the image size down. Each instruction in the Dockerfile adds a layer to the image, and you need to remember to clean up any artifacts you don’t need before moving on to the next layer. To write a really efficient Dockerfile, you have traditionally needed to employ shell tricks and other logic to keep the layers as small as possible and to ensure that each layer has the artifacts it needs from the previous layer and nothing else. It was actually very common to have multiple Jenkins pipeline steps and/or projects with unique Dockerfiles for different elements of the final build. Maintaining multiple sets of instructions to build your image is complicated and hard to maintain.
With multi-stage builds, you use multiple FROM statements in your Dockerfile. Each FROM instruction can use a different base, and each of them begins a new stage of the build. You can selectively copy artifacts from one stage to another, leaving behind everything you don’t want in the final image and simplifying the both the Dockerfile and Jenkins configurations needed to produce your images.
DockerCon SF 2015: Enabling Microservices @OrbitzDocker, Inc.
The slides from Steve Hoffman and Rick Fast's presentation at DockerCon SF 2015 -
Talk Description:
In this talk we will discuss how we enabled decomposition of one of our 250+ system components into a continously deployed microservice cluster.
This includes building a standardized Docker server composed of various local companion services along side the Docker daemon including: dynamic service discovery via Consul, a log relay to a centralized Elasticsearch cluster, and forwarding/batching of Dropwizard metrics to Graphite.
Building on this we'll cover our Jenkins driven automated pipeline for building Docker images and rolling deployments via Ansible using static placement on existing infrastructure while prototyping dynamic placement using Docker + Apache Mesos.
Seven Habits of Highly Effective Jenkins Users (2014 edition!)Andrew Bayer
What plugins, tools and behaviors can help you get the most out of your Jenkins setup without all of the pain? We'll find out as we go over a set of Jenkins power tools, habits and best practices that will help with any Jenkins setup.
Developer South Coast 2018: Docker on Windows - The Beginner's GuideElton Stoneman
Session from Dev South Coast in February. Covers the basics of Docker on Windows, including packaging and running ASP.NET and SQL Server applications on Windows. Accompanying code samples on GitHub here: https://is.gd/mo9LZI
Next-gen DevOps engineering with Docker and Kubernetes by Antons KrangaJavaDayUA
Docker is in font of container madness that forces us to rethink our entire architecture and development practices. This session will be focusing around building Java runtimes on Docker containers and running it with Kubernetes. We will focus on different deployment aspects specific to the Docker and Kubernetes and utilise DevOps engineering managed by Jenkins.
Some previous knowledge of docker is not required however advised
Building kubectl plugins with Quarkus | DevNation Tech TalkRed Hat Developers
We all know how flexible Kubernetes extensions can be - Tekton and Knative are examples. But did you know it's also pretty easy to extend kubectl, the Kubernetes superstar CLI? In this session we see how a kubectl plugin is designed and then from scratch, we will build our own plugin using Quarkus. That will give us the opportunity to discover the command mode of Quarkus, rediscover how native compilation can create super fast binaries, and see how the Kubernetes-client extensions make it super easy to interact with a Kubernetes cluster.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Simply your Jenkins Projects with Docker Multi-Stage BuildsEric Smalling
This is a a talk I presented at Jenkins World 2017.
Abstract:
When building Docker images we often use multiple build steps and Dockerfiles to keep the image size down. Using multi-stage Docker builds we can eliminate this complexity, bringing all of the instructions back into a single Dockerfile while still keeping those images nice and small.
One of the most challenging things about building images is keeping the image size down. Each instruction in the Dockerfile adds a layer to the image, and you need to remember to clean up any artifacts you don’t need before moving on to the next layer. To write a really efficient Dockerfile, you have traditionally needed to employ shell tricks and other logic to keep the layers as small as possible and to ensure that each layer has the artifacts it needs from the previous layer and nothing else. It was actually very common to have multiple Jenkins pipeline steps and/or projects with unique Dockerfiles for different elements of the final build. Maintaining multiple sets of instructions to build your image is complicated and hard to maintain.
With multi-stage builds, you use multiple FROM statements in your Dockerfile. Each FROM instruction can use a different base, and each of them begins a new stage of the build. You can selectively copy artifacts from one stage to another, leaving behind everything you don’t want in the final image and simplifying the both the Dockerfile and Jenkins configurations needed to produce your images.
DockerCon SF 2015: Enabling Microservices @OrbitzDocker, Inc.
The slides from Steve Hoffman and Rick Fast's presentation at DockerCon SF 2015 -
Talk Description:
In this talk we will discuss how we enabled decomposition of one of our 250+ system components into a continously deployed microservice cluster.
This includes building a standardized Docker server composed of various local companion services along side the Docker daemon including: dynamic service discovery via Consul, a log relay to a centralized Elasticsearch cluster, and forwarding/batching of Dropwizard metrics to Graphite.
Building on this we'll cover our Jenkins driven automated pipeline for building Docker images and rolling deployments via Ansible using static placement on existing infrastructure while prototyping dynamic placement using Docker + Apache Mesos.
Seven Habits of Highly Effective Jenkins Users (2014 edition!)Andrew Bayer
What plugins, tools and behaviors can help you get the most out of your Jenkins setup without all of the pain? We'll find out as we go over a set of Jenkins power tools, habits and best practices that will help with any Jenkins setup.
Developer South Coast 2018: Docker on Windows - The Beginner's GuideElton Stoneman
Session from Dev South Coast in February. Covers the basics of Docker on Windows, including packaging and running ASP.NET and SQL Server applications on Windows. Accompanying code samples on GitHub here: https://is.gd/mo9LZI
Next-gen DevOps engineering with Docker and Kubernetes by Antons KrangaJavaDayUA
Docker is in font of container madness that forces us to rethink our entire architecture and development practices. This session will be focusing around building Java runtimes on Docker containers and running it with Kubernetes. We will focus on different deployment aspects specific to the Docker and Kubernetes and utilise DevOps engineering managed by Jenkins.
Some previous knowledge of docker is not required however advised
Building kubectl plugins with Quarkus | DevNation Tech TalkRed Hat Developers
We all know how flexible Kubernetes extensions can be - Tekton and Knative are examples. But did you know it's also pretty easy to extend kubectl, the Kubernetes superstar CLI? In this session we see how a kubectl plugin is designed and then from scratch, we will build our own plugin using Quarkus. That will give us the opportunity to discover the command mode of Quarkus, rediscover how native compilation can create super fast binaries, and see how the Kubernetes-client extensions make it super easy to interact with a Kubernetes cluster.
Developer South Coast 2018: Modernizing .NET Apps with DockerElton Stoneman
Session from Developer South Coast in February. Covers running .NET Framework apps in Docker containers on Windows, and using Docker to modernize the application architecture - extracting features and adding new functionality. Code samples here: https://is.gd/xaFroF
Continuous Integration with Open Source Tools - PHPUgFfm 2014-11-20Michael Lihs
Presentation about open source tools to set up continuous integration and continuous deployment. Covers Git, Gitlab, Chef, Vagrant, Jenkins, Gatling, Dashing, TYPO3 Surf and some other tools. Shows some best practices for testing with Behat and Functional Testing.
Webinar: Creating an Effective Docker Build Pipeline for Java AppsCodefresh
It's easy to make mistakes when Dockerizing your Java applications. In this webinar, Alexei Ledenev (Cheif Researcher at Codefresh) shared his experience on how to craft the perfect Java-Docker build flow. He explained best practices and common pitfalls, then demonstrated how to create a build pipeline that consistently produces small, efficient, and secure Docker images. View the webinar recording and summary here- https://codefresh.io/blog/webinar-creating-efficient-docker-build-pipeline-java-apps/
Gianluca Varisco - DevOoops (Increase awareness around DevOps infra security)Codemotion
DevOps is increasingly blending the work of both application and network security professionals. In a quest to move faster, organisations can end up creating security vulnerabilities using the tools and products meant to protect them. What happens when these tools are used insecurely or - even worse - they are just insecure? Technologies discussed will encompass AWS, Puppet, Hudson/Jenkins, Vagrant, Docker and much, much more. Everything from common misconfigurations to remote code execution.
DevOoops (Increase awareness around DevOps infra security)
DevOps is increasingly blending the work of both application and network security professionals. In a quest to move faster, organisations can end up creating security vulnerabilities using the tools and products meant to protect them. What happens when these tools are used insecurely or - even worse - they are just insecure? Technologies discussed will encompass AWS, Puppet, Hudson/Jenkins, Vagrant, Docker and much, much more. Everything from common misconfigurations to remote code execution.
Comment améliorer le quotidien des Développeurs PHP ?AFUP_Limoges
Conférence présentée lors du summer meetup de l'AFUP à Limoges le 19 juin 2018. Son objectif est de présenter plusieurs outils permettant de gagner rapidement en efficacité au quotidien.
Continuous Integration & Development with GitlabAyush Sharma
GitLab CI is a part of GitLab, a web application with an API that stores its state in a database. It manages projects/builds and provides a nice user interface, besides all the features of GitLab. GitLab Runner is an application which processes builds.
This presentation was held at the DevOps Meetup Frankfurt on 2014/12/08. It describes some tools and practices for testing your infrastructure provisioned with Chef.
Prescriptive Security with InSpec - All Things Open 2019Mandi Walls
What is Chef InSpec, and how can it help you manage and maintain system security through the full lifecycle of your applications? See how this powerful tool can keep your systems secure. Demo slides included in the appendix
The slides from my Deployment Tactics talk at the ThinkVitamin Code Management online conference (http://thinkvitamin.com/online-conferences/code-manage-deploy/).
DCSF 19 Building Your Development Pipeline Docker, Inc.
Oliver Pomeroy, Docker & Laura Tacho, Cloudbees
Enterprises often want to provide automation and standardisation on top of their container platform, using a pipeline to build and deploy their containerized applications. However this opens up new challenges; Do I have to build a new CI/CD Stack? Can I build my CI/CD pipeline with Kubernetes orchestration? What should my build agents look like? How do I integrate my pipeline into my enterprise container registry? In this session full of examples and how-to's, Olly and Laura will guide you through common situations and decisions related to your pipelines. We'll cover building minimal images, scanning and signing images, and give examples on how to enforce compliance standards and best practices across your teams.
The Future of Security and Productivity in Our Newly Remote WorldDevOps.com
Andy has made mistakes. He's seen even more. And in this talk he details the best and the worst of the container and Kubernetes security problems he's experienced, exploited, and remediated.
This talk details low level exploitable issues with container and Kubernetes deployments. We focus on lessons learned, and show attendees how to ensure that they do not fall victim to avoidable attacks.
See how to bypass security controls and exploit insecure defaults in this technical appraisal of the container and cluster security landscape.
Similar to Continuous Integration/Deployment with Docker and Jenkins (20)
Four key factors to design a web of things based architectureFrancesco Bruni
What aspects should you take into account when designing a web of things architecture? Here's our conclusion after being designed and implemented a WoT infrastructure to solve a real world problem and presented at International Computer on Web Engineering conference in Rome.
Pandas is a good library to deal with tabular data. What if you need to manage an amount of data that doesn’t fit into memory? What if you want to “distribute” your computations among multiple machines?
Starting from a real scenario, Apache Spark will be presented as the main tool to read and process collected data. It will be shown how a Pandas-like syntax will come in handy to run aggregations, filtering grouping using a Spark Dataframe.
Github repo's inside.
Basic NLP concepts and ideas using Python and NLTK framework. Explore NLP prosessing features, compute PMI, see how Python/Nltk can simplify your NLP related task.
Work common problems out via a functional approach. Think in terms of functions, be lazy, use pipelines and handle concurrency with immutable data borrowing concepts from Haskell/Scala/Erlang. All of this in Python.
A brief introduction to functional programming.
Even if slides present some simple Python code, functional programming patterns applies to other languages too.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
How to Position Your Globus Data Portal for Success Ten Good Practices
Continuous Integration/Deployment with Docker and Jenkins
1. CI with Docker and
Jenkins
Francesco Bruni
Club degli sviluppatori - Bari, May ‘19
@brunifrancesco
2. Who am I
•MSc Telecommunication Engineer @ Poliba
•Despite a Java background, I prefer Python whenever
possible
•I'm not a computer scientist
3. Continuous Integration
•Keep integrating multiple times a day the central code
repository;
•Run as more tests as you can to ensure nothing broke
down;
•Be ready to replicate environment.
11. CI natural evolution:
Continuous Delivery
•If a commit builds (all tests succeed), deliver it;
•Keep delivery time at minimum;
•Multiple deliveries for multiple versions.
12. Know your tools
•Test everything;
•Keep your sources/setting files versioned;
•Containerize everything;
•Automate as much as you can.
13. Test everything
•Test your sources, checking coverage;
•Test for writing new features;
•Test your application settings;
•If you want to deliver software, check external
requirements.
14. Smarter use of VCs
•Keep code versioned: application settings/sources/dep
indexes;
•Keep env settings versioned: scripts and configuration
files;
•Enjoy version control well defined ‘flows’ :)
15. Be containerized
•Develop solutions in well separated envs;
•Ship software as main part of env;
•Don’t play with global deps.
•‘Restore’ basic envs to speed up env creation process.
16. What’s Docker
•Wrap many services in many
containers;
•Create, play with and destroy
containers;
•Save and easily replicate
isolated containers.
17. Dockerfiles
# pull base image.
FROM java:8
# maintainer details
MAINTAINER Francesco Bruni "francesco.bruni@stasbranger.com"
# update packages and install maven
RUN
export DEBIAN_FRONTEND=noninteractive &&
sed -i 's/# (.*multiverse$)/1/g' /etc/apt/sources.list &&
apt-get update &&
apt-get -y upgrade &&
apt-get install -y vim wget curl git maven ssh nano python-pip
# attach volumes
VOLUME /volume/git
# create working directory and set some stuff up
RUN mkdir -p /local/git
WORKDIR /local/git
RUN mkdir -p /root/.ssh
ADD id_rsa /root/.ssh/id_rsa
RUN chmod 700 /root/.ssh/id_rsa
RUN echo "Host <ip>ntStrictHostKeyChecking non" >> /root/.ssh/config
COPY .m2 /root/.m2
COPY run.sh run.sh
RUN chmod a+x run.sh
# run this when container starts
CMD ["./run.sh"]
18. Automate procedures
•Repetitive tasks should be performed by automated
agents;
•Once you teach the agent what to do, it’s up to him to
fulfill the job.
19. What’s Jenkins
•Automated procedures worker;
•Run tasks, report final status,
log activities;
•Multiple plugin for multiple
features;
•Use it just for playing too :)
20. Deploy w/ Docker w/o
Jenkins
•Test code (or at least run a set of tests);
•Push code to repo;
•SSH in the server, enter in container;
•Pull changes and restart required services.
•Check if it works! :)
22. What we’ll need
•A GIT web hook;
•Set private “credentials”;
•A tool to test configuration settings;
•A container to run the test suite;
•A container to run the new application;
•A pipeline.
23. GIT web hook
• Bind an action (tipically run a script) to GIT events;
• Notify Jenkins new code has been pushed over the
‘develop’ branch.
#! /bin/bash
read oldrev newrev _branch
tail=$(git log -1 --pretty=format:'%h %cn: %s%b' $newrev)
curl http://<ip>:8080/job/QW/build?
token=vH3YKmrRR5KOT4aeAOAV&commitMessage=
$tail&cause=JenkinsDeploy
24. Merge/Test
configurations
import os
main_path = os.path.join("src",
"main","resources","application.properties")
test_path = os.path.join("src",
"test","resources","application.properties")
for element in (main_path, test_path,):
with open(element) as old_main:
data = map(lambda line: line.strip(), old_main.readlines())
data[6] = data[6].replace("192.168.1.75", "mysql")
data[6] = data[6].replace("<myIp>", "mysql")
with open(element, "wb") as new_main:
new_main.write(“n".join(data))
Connection().quick_connect("user", "password", “db_test", "<myIp>")
Connection().quick_connect("user", "password", "db", "mysql")
28. All togheter
node {
stage 'Stage 1'
sh 'docker run --rm --link mysqlC:mysql --name sms-checklink-container
sms-checklink'
stage 'Stage 2'
sh 'docker rm -f sms-test-container || echo 'no container to delete''
sh 'docker run --rm --name sms-test-container --link mysqlC:mysql sms-
test'
stage 'Stage 3'
sh 'docker run --rm --name sms-merge-container sms-merge'
stage 'Stage 4'
sh 'docker rm -f sms-staging-container || echo 'no container to delete''
sh 'docker run -d -p 8433:8080 --name sms-staging-container --link
mysqlC:mysql sms-staging'
}
29. Conclusions
• Improve configuration settings handling;
• Reduce testing time;
• Bind Jenkins job to commit messages;
• Improve git-flow integration;
• Docker Compose :(
• Deploy project on production via manual tests.
30. References
Continuous Delivery
Reliable Software Releases through Build, Test,
and Deployment Automation
by Jez Humble and David Farley
Continuous Integration
by Martin Fowler
http://martinfowler.com/articles/continuousIntegration.html