Product update aug_29

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🌍 Job van der Voort

GitLab Product update aug 29

Technology

! 9.5 "
• CE|EES|EEP GPG Commit veriﬁca0on !
• CE|EES|EEP New naviga0on improvements (opt-in) "
• CE|EES|EEP Project templates (Rails, Node, Spring) #
• CE|EES|EEP Automa0c Retry fo Failed CI Job ♻
• CE|EES|EEP Automa0c Monitoring of Auto deployed apps %
• CE|EES|EEP Massive performance improvements &

⭐ 10.0 "
• EEP Group Issue Boards
• EEP GitLab Server HA
• EEP JIRA Development panel support
• CE|EES|EEP Auto DevOps
• CE|EES|EEP Lock issue
• CE|EES|EEP New navigaBon for everyone

• Enterprise Edi,on Ul,mate
• Por3olio Management (Epics, Gan: charts)
• HA, Geo, Disaster Recovery
• Auto DevOps con,nued
• ConvDev
• Auth for Enterprise
• Requirements for partners and customers

В докладе я расскажу, как был организован запуск автоматических тестов (appium/javascript) в gitlab CI для нативного Android приложения на каждый Merge Request. Опишу, как можно встроить автотесты в существующий процесс сборки, как правильно настроить запуск тестов в docker image (тесты бегут в TestObject облаке), как произошла интеграция с клаудом и какие результаты это принесло. Tech stack: Gitlab CI, kubernetes, android, appium, javascript, testobject.

SFScon18 - Kurt Ranalter - Leonhard Holzer - API level regression testing: a ...

South Tyrol Free Software Conference

Agile software development with its short life cycles and frequent updates poses high risks with respect to breaking existing functionalities and, as a consequence, may compromise the correctness of an application. We discuss the issues and challenges that arise in the context of the data-intensive business applications developed by abuscom and show how certain risks can be mitigated by our approach to API level regression testing.

Build pipelines with TeamCity

Anton Arhipov

TeamCity is a great tool for Continuous Integration with a lot of advanced features provided out-of-the-box. In this session, we will go through how TeamCity helps the software development with the daily routine; what was added to the product in the latest releases; and what features are coming next. You will learn why build pipelines are useful, and how the CI server can be optimized when properly configured. I will also demonstrate how to configure the builds using the special Kotlin DSL provided with TeamCity.

Looking to automate your CI/CD workload and wondering how OpenStack can help? Then look no further. In this webinar, we captured best practices for running a smoothly integrated CI/CD environment using OpenStack. These are lessons from running a large scale private cloud internally at Platform9. Topics covered in this webinar: 1. The Ingredients: Basic requirements for setting up your CI/CD workflow with OpenStack, including recommended hardware specification. 2. The Recipe: - Getting your OpenStack environment up and running - Choosing the appropriate Continuous Integration Tool (TeamCity, Jenkins, etc) - End to end 7-step workflow with examples, starting with Developers pushing changesets source control, to those changes being picked up and tested via a 100% automated workflow using OpenStack.

FME the Workhorse of the Enterprise System

Safe Software

I would like to talk about the enterprise level system implementation that TransCanada carried out over the last couple of years. FME is the core component of the solution, responsible for all data synchronization between numerous data sources and various input formats. Planned Topics: 1. FME the connector that makes it attainable 2. FME server architectural setup considerations / workflows control 3. Importance of workflow performance / efficiency 4. Supportability, an aspect that we often forget about

Pain-free Source Control for Administrators and Developers

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Moving from app services to azure functions

Michelangelo van Dam

When we first started out with Azure, we created VM’s to run our web applications and backend services. Afterwards we moved our web application logic into App Services while using native Azure Services for our backend requirements. With containers we could isolate our individual web application components even further and allowed us to go full DevOps. Now Azure Functions allows us to remove a complete application stack allowing us to focus purely on functionality. In this talk I go over the several phases we went through getting our application from bare metal into the cloud and how we now leverage Azure Functions to achieve higher throughput and faster delivery times while reducing the complexity of the web application and costs.

Git into the Flow, with the Ultimate Continuous Delivery Workflow on Heroku

Salesforce Developers

Any suspicion that Linus Torvalds was a Linux one-hit-wonder was dispelled when he released the Git distributed versioning system. Git is a popular source code management tool, and sophisticated software delivery flows are now built around its powerful branching model. Join us to learn how to leverage Git and GitHub for maximum delivery velocity, and for an introduction to how Heroku GitHub Integration, Review Apps, and Pipelines let you deliver software with ease and confidence.

Orchestrate Your End-to-end Mainframe Application Release Pipeline

DevOps.com

What steel and concrete are to a skyscraper, the mainframe is to the global economy. The mainframe is the transactional backbone for 96 of the world’s top 100 banks, 23 of the 25 top US retailers and 9 out of 10 of the world’s largest insurance companies. When you think of a mainframe, you probably think of an old green computer screen. Did you know you can use the same modern tools and techniques with mainframes that you use with cloud and mobile? With the growth of mission-critical mainframe workloads showing no signs of slowing down, application delivery cannot remain slow and complex. Organizations must apply the same DevOps processes to the mainframe as they do with other platforms. Compuware and XebiaLabs enable large enterprises to automatically build, test and deploy mainframe releases within a cross-platform application release pipeline.

Create flexible react applications using GraphQL API's

Maurice De Beijer [MVP]

Using restful APIs can be hard on your React applications. Before you know it, you are doing lots of parallel queries to the server. Using GraphQL instead of REST might help a lot. Instead of downloading many complete resources each component declares its own needs. Then the GraphQL client library then combines these requirements. The result is a single optimized query for the server. In this session, Maurice de Beijer is going to show you how to get started with GraphQL in you React applications. https://rome2018.codemotionworld.com/

CI/CD with Bitbucket pipelines

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7-Step Recipe For Continuous Integration Using OpenStack - Part 1

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Continuous mobile automation in build pipeline

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PayPal's History of Microservices Architecture

Postman

PayPal has evolved from using a monolithic architecture to a microservices-oriented architecture in order to scale the rapidly growing company. In this talk, We will take a look at how PayPal was architected in the past, some of the issues that we ran into with a monolithic architecture, and how PayPal evolved over time to create a more robust and scalable approach to service deployment by leveraging Postman and implementing a microservices architecture.

Continuous Delivery with Cloud FoundryPlatform CF

Making Angular2 lean and Fast

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Roman Iovlev. Comaqa Spring 2018. Архитектура Open Source решений для автомат...

COMAQA.BY

Мы поговорим о новых возможностях Open Source фреймворка JDI для Автоматизации UI Тестирования и не только на языках Java, C# .Net и Python. Архитектор проекта расскажет «всю правду» о своем детище, а мы послушаем, сделаем выводы и, возможно, используем это решение для нашего следующего проекта.

Overlay HPC Information

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In this presentation from ISC'14, Christian Kniep from Bull presents: Understand Your Cluster by Overlaying Multiple Information Layers. Kniep is using Docker technology in a novel way to ease the administration of InfiniBand networks. "Today's data center managers are burdened by a lack of aligned information of multiple layers. Work-flow events like 'job XYZ starts' aligned with performance metrics and events extracted from log facilities are low-hanging fruit that is on the edge to become use-able due to open-source software like Graphite, StatsD, logstash and alike. This talk aims to show off the benefits of merging multiple layers of information within an InfiniBand cluster by using use-cases for system operation and management level personal. Mr. Kniep held two BoF sessions which described the lack of InfiniBand (ISC'12) and generic HPC monitoring (ISC'13). This years' session aims to propose a way to fix it. To drill into the issue, Mr. Kniep uses his recently started project QNIBTerminal to spin up a complete clusterstack using LXC containers."

A Lap around ASP.NET 5 - CONDG

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Product update Oct 1

🌍 Job van der Voort

The best apps are built in pyjama-pants

🌍 Job van der Voort

What's hot

Build pipelines with TeamCity

Anton Arhipov

Build pipelines with TeamCity

Anton Arhipov

1Spatial: Cardiff FME World Tour: Live vessel tracking - FME Cloud

1Spatial

Automated Integration Testing in Java using Arquillian

Tommy Tynjä

7-Step Recipe For Continuous Integration Using OpenStack - Part 2

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FME the Workhorse of the Enterprise System

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Pain-free Source Control for Administrators and Developers

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Git into the Flow, with the Ultimate Continuous Delivery Workflow on Heroku

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Create flexible react applications using GraphQL API's

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dm l

PayPal's History of Microservices Architecture

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Continuous Delivery with Cloud FoundryPlatform CF

Making Angular2 lean and Fast

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Roman Iovlev. Comaqa Spring 2018. Архитектура Open Source решений для автомат...

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Overlay HPC Information

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FME the Workhorse of the Enterprise System

Pain-free Source Control for Administrators and Developers

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Git into the Flow, with the Ultimate Continuous Delivery Workflow on Heroku

Orchestrate Your End-to-end Mainframe Application Release Pipeline

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Continuous mobile automation in build pipeline

PayPal's History of Microservices Architecture

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Making Angular2 lean and Fast

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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development. The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers: State of global ICS asset and network exposure Sectoral targets and attacks as well as the cost of ransom Global APT activity, AI usage, actor and tactic profiles, and implications Rise in volumes of AI-powered cyberattacks Major cyber events in 2024 Malware and malicious payload trends Cyberattack types and targets Vulnerability exploit attempts on CVEs Attacks on counties – USA Expansion of bot farms – how, where, and why In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East Why are attacks on smart factories rising? Cyber risk predictions Axis of attacks – Europe Systemic attacks in the Middle East Download the full report from here: https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/

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Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

Neuro-symbolic is not enough, we need neuro-*semantic*

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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

Epistemic Interaction - tuning interfaces to provide information for AI support

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Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

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