Introducing XL Release 4.1
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The document summarizes new features in XL Release 4.1, an enterprise release pipeline orchestrator. Key new features include a release dashboard for overviewing release status, webhooks and triggers for calling external services, and value stream analysis for identifying improvement opportunities in release processes. The presentation provides details on these new features and encourages attendees to try XL Release with a free trial.
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Automatisez progressivement vos releases
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Date: Thursday, February 26th 2015
Time: 1:00 pm CET
Grâce à XL Release, découvrez comment :
1. Modéliser simplement vos releases actuelles (du commit à la mise en production)
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3. Mesurer votre degré d’automatisation et identifier les points de contention dans votre processus de livraison
4. Vous améliorer en automatisant les tâches manuelles
5. Communiquer et collaborer autour d’un référentiel commun
6. Accélérer vers des pratiques de type Continuous Delivery tout en gardant le contrôle jusqu’en production.
Public cible : Release Managers, Delivery Managers, Program Managers, Responsables/Directeurs Production, Architectes….toutes personnes impliquées dans le processus de livraison
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And while large enterprises remain very interested in net-new, cloud-native applications, they are also giving more consideration to modernizing existing and legacy applications and their related processes.
In this on-demand webinar, hear from Jay Lyman, Principal Researcher, 451 Research and Sunil Mavadia, Director of Customer Success, XebiaLabs as they discuss these meaningful changes in the drivers, challenges and benefits as well as their potential impact on your organization’s DevOps journey.
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Cette session présente la solution XL Release de la Société XebiaLabs et montre à travers une intégration simple (JIRA, Jenkins, XL Deploy) qu'il est maintenant possible d'obtenir cette information afin de détecter les éventuels goulets d'étranglement.
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With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles:
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Cloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
As delivered to the Cloud Foundry Summit 2014 in San Francisco, CA:
With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles:
* Streaming customer feedback directly into rapid, iterative cycles of application development
* Horizontally scaling applications to meet user demand
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For most of us, compliance audits are painful processes that interfere with our ability to do our job – building and delivering software – and steal time and resources away from that next great innovation. Until now.
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DevOps and related trends (cloud-native, digital transformation, etc.) are unquestionably mainstream, but they still come with difficulties. Many organizations are struggling with outdated governance models that slow down digital innovation, while not effectively reducing risk. Plan/build/run, stage-gated checklists, and approval boards are losing favor, but what will replace them? Risk management is still critical.
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Although DevOps practices have gained wide adoption across industries, many organizations are still failing in their digital transformation efforts because they focus on tools over people and processes. You can avoid this trap by providing DevOps as a platform that is built and maintained by experts who provide standardized tools, templates, and processes to teams across the organization—regardless of those teams’ roles within the company, the type of applications or environments they work with, or the software delivery patterns they’ve adopted.
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DevOps heeft een grote sprong gemaakt in het verbeteren van het softwareleveringsproces. Het is echter verrassend hoeveel organisaties DevOps nog gescheiden houden van gevestigde IT-servicemanagement (ITSM) systemen zoals ServiceNow. Voor Development blijft het hierdoor een uitdaging om functies, gebruikersverhalen en IT-serviceaanvragen bij te houden in de verschillende tools voor backlog management en ITSM.
Hoe zorgt Development ervoor dat tickets worden gesloten als het werk voltooid is? Hoe wordt de naleving gegarandeerd? En de ultieme vraag: welke functie heeft de release daadwerkelijk opgeleverd?
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Viele Unternehmen kennen das Problem. Ständig müssen neue Software-Releases bereitgestellt und dabei immer mehr Anforderungen eingehalten werden, weil sich Sicherheitsrisiken und Compliance-Probleme stets auf mehrere Anwendungen, Teams und Umgebungen gleichzeitig auswirken. Nur wenn Risikobewertung, Sicherheitstests und Compliance bereits als Teil von Continuous Integration (CI) und Continuous Delivery (CD) integriert sind, lassen sich Fehlschläge und Verzögerungen vermeiden. Bei Verstößen gegen die IT-Governance drohen Produktionsausfälle und hohe Geldstrafen.
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All Roads Lead to DevOps
Different situations, different teams, and different requirements call for different ways to approach your software delivery initiatives. Your road to success might mean taking the highway or a shortcut to get the job done. However, regardless of your cloud, container, security, compliance, or ITSM goals, all roads eventually lead to the same destination…DevOps.
Industry thought leader and award-winning author Gene Kim, and XebiaLabs Vice President of Customer Success, T.j. Randall, will discuss various strategies IT teams can use to succeed with their DevOps journey without getting lost on the way.
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DevOps trends show that, in 2019, large enterprises are accelerating their migration to the cloud and defining goals for the number of applications to migrate over the coming year. To set themselves up for success, companies are not only looking for the right people and processes, but also the right technology for helping them transition to the cloud in a controlled fashion—without throwing compliance, auditability, and security out the window.
So how can organizations gain visibility into which versions of their applications live where, even when running on containers in some environments and on legacy infrastructure on others? And how can they reuse existing environment-specific configurations?
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DevOps has made great strides in reducing bottlenecks in the software delivery process. Yet, it is surprising how many organizations keep DevOps on a separate track from long-established IT service management (ITSM) implementations and systems such as ServiceNow. Consequently, development teams find it challenging to track features, user stories, and IT service requests across different tools for backlog management and ITSM.
But how do they make sure tickets are closed when the work is complete? How can they ensure compliance? And can they answer the ultimate question: Which feature actually made it into which release?
Shift Left and Automate: How to Bake Compliance and Security into Your Softwa...
Organizations struggle to deliver more and more software releases while keeping up with ever-increasing security risks and compliance issues across many different applications, teams, and environments. The stakes of that struggle are high: when risk assessment, security testing, and compliance evaluation aren't built into the CI/CD pipeline, releases fail and cause delays, security vulnerabilities threaten Production, and IT governance violations result in expensive fines.
2019 DevOps Predictions
Gene Kim provides predictions for DevOps in 2019 based on findings from the 2018 State of DevOps report. Key findings show elite performing teams deploy more frequently, recover from outages faster, and rarely outsource. The rise of pipelines and a divide between business and technical challenges were also discussed. Functional programming concepts may influence the future of operations work. DevOps practices need to include all roles and processes should be defined, automated, auditable and repeatable.
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DevOps has made great strides in reducing bottlenecks in the software delivery process. Yet, it is surprising how many organizations keep DevOps on a separate track from long-established IT service management (ITSM) implementations and systems such as ServiceNow. Consequently, development teams find it challenging to track features, user stories, and IT service requests across different tools for backlog management and ITSM.
But how do they make sure tickets are closed when the work is complete? How can they ensure compliance? And can they answer the ultimate question: Which feature actually made it into which release?
DevOps Hits Adolescence – what’s next?
It’s hard to believe, but DevOps has been around for nearly ten years. From its specialist “unicorn” origins to a broadly accepted set of principles adopted by companies of all sizes and stripe, it’s been one of the most transformative movements in information technology since the PC. What comes next? Forrester Principal Analyst and DevOps Lead Charles Betz shares his 2018 research and predictions for next year.
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“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.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
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.
20240607 QFM018 Elixir Reading List May 2024
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Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
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Introducing XL Release 4.1
- 1. Introducing XL Release 4.1 Andrew Phillips, VP Products | 24 July 2014
- 2. 2 Copyright 2014. Housekeeping ▪ This webinar is being recorded ▪ Links to the slides and the recording will be made available after the presentation ▪ You can post questions via the GoToWebinar Control Panel
- 3. 3 Copyright 2014. Agenda ▪ XL Release in 1min ▪ Key Features in 4.1 ▪ Spotlight: Release Dashboard ▪ Spotlight: Webhooks & Triggers ▪ Spotlight: Value Stream Analysis ▪ Additional Features & Improvements
- 4. 4 Copyright 2014. XL Release in 1min ▪ Enterprise Release Pipeline Orchestrator ▪ Coordinate releases and build Continuous Delivery Pipelines across teams and tools ▪ Start today with releases that combine manual tasks and automation and build out delivery pipelines through targeted improvement
- 5. 5 Copyright 2014. XL Release in 1min
- 6. 6 Copyright 2014. XL Release in 1min
- 7. 7 Copyright 2014. XL Release in 1min
- 8. 8 Copyright 2014. We’ve Been Busy… ▪ The “IT Manager’s Guide to Continuous Delivery” ▪ Events, Webinars and Thought Leadership ▪ Updates to XL Release and XL Deploy ▪ Ongoing R&D and improvements to XL Deploy, XL Release, XL Scale and XL Test
- 9. 9 Copyright 2014. Key Features in 4.1 Drivers ▪ “One stop shop” overview ▪ Identifying and tracking areas for improvement ▪ Support additional automation use cases 4.1
- 10. 10 Copyright 2014. Key Features in 4.1 ▪ Release Dashboard ▪ Webhooks & Triggers ▪ Value Stream Analysis ▪ …and plenty more 4.1
- 11. 11 Copyright 2014. Spotlight: Release Dashboard ▪ “One stop shop” for teams and release coordinators ▪ Overview of current status and action items ▪ Compare current state with previous performance and identify “Top 10” challenges
- 12. 12 Copyright 2014. Spotlight: Release Dashboard
- 13. 13 Copyright 2014. Spotlight: Release Dashboard
- 14. 14 Copyright 2014. Spotlight: Release Dashboard
- 15. 15 Copyright 2014. Spotlight:Webhooks &Triggers ▪ Many, many services that need to automated as part of a release/pipeline provide HTTP endpoints ▪ Easy way of flexibly calling an endpoint and handling the response ▪ Support additional scenarios for starting releases ▪ Extensible trigger mechanism
- 16. 16 Copyright 2014. Spotlight:Webhooks &Triggers
- 17. 17 Copyright 2014. Spotlight:Webhooks &Triggers
- 18. 18 Copyright 2014. Spotlight:Webhooks &Triggers
- 19. 19 Copyright 2014. Spotlight:Webhooks &Triggers
- 20. 20 Copyright 2014. Spotlight:Value Stream Analysis ▪ Key Challenge: How do I most effectively improve my current process/pipeline? ▪ “Scorecard” for your releases and pipelines based on configurable criteria ▪ Easily visualize critical phases and drill down to identify improvement opportunities
- 21. 21 Copyright 2014. Spotlight:Value Stream Analysis
- 22. 22 Copyright 2014. Spotlight:Value Stream Analysis
- 23. 23 Copyright 2014. Additional Features & Improvements ▪ Duration-based pipeline planning and tracking ▪ Automation failure handling ▪ Proxy support for HTTP endpoints ▪ UI improvements ▪ …and more ...more!
- 24. 24 Copyright 2014. Getting Started ▪ Get started with XL Release today! go.xebialabs.com/XLRelease_Trial-Registration-Initial.html ▪ Learn more about XL Release: www.xebialabs.com/products/xl-release docs.xebialabs.com/releases/latest/xl-release ▪ Stay informed: blog.xebialabs.com @XebiaLabs vimeo.com/xebialabs
- 25. Thank You!