Jenkins + ansible, a love story (en)
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This document discusses using Ansible and Jenkins for continuous integration and continuous delivery (CI/CD). It provides an overview of the tools that will be used in the example lab, including Vagrant, Sonar Source, Maven, GIT, Nexus, Jenkins, and Ansible. It outlines the reference architecture and pipeline flow, and describes how Ansible playbooks will be used to provision lab infrastructure with Vagrant and deploy applications from the Jenkins pipeline. Resources are provided for reproducing the lab, including links to the example application, Ansible plugin, and Vagrant code repository.
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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.
How To Make A Framework Plugin That Does Not Suck
Eclipse plugins that tries to support a specific framework such as Hibernate, JPA, servlets, Struts, Spring, Drools, log4j, etc. all have many of the same challenges but somehow they have a tendency to solve it differently and we end up with a fractured IDE from a usability and architectural perspective.
It seems like everyone understands what functionallity that is specific for their framework, but forget to consider issues like multiple version support, classpath libraries, debugging/launching and coexistence with other 3rd party framework plugins.
After working five years with this in context of JBoss Tools and Eclipse itself I came to realize a lot of this fracture is caused by either not using already existing functionallity available in Eclipse API's or simply not realizing how little effort it actually takes to handle these common issues.
This talk will outline the identified issues and present patterns and in some cases implementation for how framework plugins should be done so they work well within the majority of the Eclipse Java ecosystem.
Serverless
This document discusses serverless computing and compares it to traditional server-based computing. Some key points:
- Serverless allows for inherent scalability, cost savings since customers only pay for resources used, and lower latency since code can execute near users. However, testing/debugging is more difficult and vendor lock-in is a risk.
- Serverless is compared to IaaS/PaaS/SaaS models, with serverless being akin to "buying a plane ticket and flying" rather than owning/renting infrastructure.
- Popular serverless options like Python and JavaScript Azure Functions are discussed, along with benefits like auto-completion, independent IDE usage, and ease of cloud integration and deployment.
ansible_rhel.pdf
Facts are variables that provide information about managed nodes, such as operating system, IP address, and hostname, and are gathered using the setup module. Facts allow playbooks to dynamically handle different operating systems or configurations by basing logic on facts rather than static variables. Fact data can be accessed in templates and used to conditionally run tasks based on facts about remote systems.
Visual studio 2019 launch
Visual Studio 2019 includes new features like Live Share for real-time collaboration, IntelliCode for AI-assisted coding, and improvements to debugging and tooling. It also improved support for .NET development, including new code fixes and refactoring options. Visual Studio 2019 supports development for Azure, Azure DevOps, GitHub, containers, and microservices. New capabilities were also added for mobile development with Xamarin, Python, and machine learning using ML.NET.
Similar to Jenkins + ansible, a love story (en) (20)
Atmosphere 2018: Yury Tsarev - TEST DRIVEN INFRASTRUCTURE FOR HIGHLY PERFORMI...
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goployer, 코드 기반의 배포 도구 - 송주영 (beNX) :: AWS Community Day 2020
goployer, 코드 기반의 배포 도구 - 송주영 (beNX) :: AWS Community Day 2020
Deploy Multinode GitLab Runner in openSUSE 15.1 Instances with Ansible Automa...
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research
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Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
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Choosing The Best AWS Service For Your Website + API.pptx
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Jenkins + ansible, a love story (en)
- 1. USING ANSIBLE AND JENKINS IN CI/CD An example lab Ricardo Zanini (zanini@redhat.com) @zanini_os Senior Middleware Technical Account Manager
- 2. INSERT DESIGNATOR, IF NEEDED Introduction Tools Reference Architecture Example pipeline flow AGENDA CI/CD with Ansible and Jenkins Demo Ansible Playbooks Integration tips Resources
- 3. INSERT DESIGNATOR, IF NEEDED INTRODUCTION
- 4. INSERT DESIGNATOR, IF NEEDED INTRODUCTION What is this all about? ● Jenkins is great for CI/CD implementation. ● Ansible is a great tool for provisioning. ● Why not reuse our Ansible Roles? ● This process could be applied in different scenarios like on premises, cloud, containers, bare metal and so on.
- 5. INSERT DESIGNATOR, IF NEEDED TOOLS For this lab, we are going to use: ● Vagrant + libvirt for virtualization ● Sonar Source for source code quality analysis. ● Maven ● GIT ● Nexus for artifactory repository ● Jenkins for CI/CD process flow ● Ansible for lab provisioning and application deployment
- 6. INSERT DESIGNATOR, IF NEEDED REFERENCE ARCHITECTURE
- 7. INSERT DESIGNATOR, IF NEEDED
- 8. INSERT DESIGNATOR, IF NEEDED PIPELINE FLOW
- 9. INSERT DESIGNATOR, IF NEEDED THE PIPELINE
- 10. INSERT DESIGNATOR, IF NEEDED PLAYBOOKS USED IN THIS LAB
- 11. INSERT DESIGNATOR, IF NEEDED INFRASTRUCTURE PROVISIONING Vagrant <3
- 12. INSERT DESIGNATOR, IF NEEDED APPLICATION DEPLOYMENT A simple 3 step ansible playbook
- 13. INSERT DESIGNATOR, IF NEEDED DEMO
- 14. INSERT DESIGNATOR, IF NEEDED INTEGRATION TIPS Here some tips to avoid headaches: ● The target machines should have a Jenkins user with sudo to perform the needed tasks. ● Prefer adding a SSH private key on Jenkins credentials and access it at the pipeline. The target machines must have the public key. ● Install your roles before running the playbook. ● You may limit the provision on a set of hosts using the “-limit” option
- 15. INSERT DESIGNATOR, IF NEEDED ANSIBLE PLAYBOOKS Let's going to see each playbook in detail: ● Lab infrastructure provisioning with Ansible and Vagrant ● Application provisioning from Jenkins pipeline and Ansible
- 16. INSERT DESIGNATOR, IF NEEDED RESOURCES Everything you're going to need to reproduce this lab: ● Ansible Plugin ● Vagrant ALM @ GitHub ● Soccer Stats (example app) @ GitHub ● How to start using Ansible if I no nothing about platform?
- 17. INSERT DESIGNATOR, IF NEEDED QUESTIONS?