Meld OSGi Bundles with Java Modules - Udo Hafermann (Software AG)

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OSGi Community Event 2018 Presentation by Udo Hafermann (Software AG) Abstract: The Java Platform Module System delegates the job of selecting a consistent pool of modules to an external party. The OSGi Resolver happens to be a tool for selecting a consistent set of resources. Any resources. Even JPMS modules. All we need to do is encode their dependencies properly. An interesting consequence of this is that now JPMS modules can also be selected as dependencies to other kinds of resources. Even OSGi bundles… Ever since JPMS was introduced we have been enticed by the promise of building runtimes to match our OSGi applications. In this talk we will demonstrate a way to achieve this with the help of RFP-190.

Technology

© 2018 Software AG. All rights reserved.
Udo Hafermann
Todor Boev
MELD OSGI BUNDLES WITH
JAVA MODULES
OSGI RFP 190

2 |
MOTIVATION
Example: My bundle requires AWT—what is the minimum Java module set?
© 2018 Software AG. All rights reserved. For internal use only

3 |
OVERVIEW
This talk presents RFP 190: Resource Encoding of Java Modules
1. Application Domain and Problem Statement
2. Use Cases
3. Requirements
4. Proof of Concept
5. Open Ends
© 2018 Software AG. All rights reserved. For internal use only

4 |
PROBLEM STATEMENT
• We want self-contained Java applications with minimal footprint
• For OSGi, we can resolve the set of required bundles
• But JRE can easily dominate the overall size
• With JPMS, we can strip down to the modules required
• How to determine which ones are required?
• R7 provides the flat list of all boot layer packages
• Removing modules from the boot layer is a trial and error process
• We need the modules as such to be visible to tools and runtime
© 2018 Software AG. All rights reserved. For internal use only

5 |
USE CASES
• Build a compact Docker image
• Build a self-contained, no-installation tool
• Analyze JRE footprint, bundle by bundle
• Introspect JRE at runtime
• Create hybrid app of OSGi bundles and JPMS modules
© 2018 Software AG. All rights reserved. For internal use only

6 |
GENERAL REQUIREMENTS
• Resolver can still be used to build consistent set of modules and bundles
– Should not require a new tool or component
• Bundles are not forced to explicitly reference modules
– Just as we don’t want bundles to explicitly reference bundles
• A bundle may function as a module
– OSGi framework as a special case
• Includes third-party modules
• Best-effort JPMS validation
– Rejects duplicate and (optionally) conflicting and cyclic modules
© 2018 Software AG. All rights reserved. For internal use only

7 |
RESOLVING DEPENDENCIES
• Module identity and version
• Bundle package imports to module exports
• Modules to modules
• (Optional) Module services as resources
• (Optional) Requirements to module services
© 2018 Software AG. All rights reserved. For internal use only

8 |
ENHANCING METADATA
• Add version range requirements for modules
• Use bundle annotations for additional JPMS module dependencies
• Replace org.osgi.framework.system.packages with module resource
representations
© 2018 Software AG. All rights reserved. For internal use only

9 |
PROOF OF CONCEPT
• Modeling
– Module as special kind of bundle
– Require module as require-bundle
– Module exports as export-package
– Module provides as service-loader capability
– Module uses as service-loader requirement
• Extracts of actual metadata
• Run resolver on “awt” example
© 2018 Software AG. All rights reserved. For internal use only

10 |
MODULE METADATA
© 2018 Software AG. All rights reserved. For internal use only
java.desktop
osgi.identity
osgi.identity=java.desktop
type=java-module
singleton=true
version=10.0.2
osgi.wiring.bundle
filter:=(&(osgi.wiring.bundle=java.base)(bundle-version=10.0.2)(java-module=true))
resolution:=mandatory
osgi.wiring.bundle
filter:=(&(osgi.wiring.bundle=java.prefs)(bundle-version=10.0.2)(java-module=true))
visibility:=reexport
resolution:=mandatory osgi.serviceloader
filter:=(&(osgi.serviceloader=javax.imageio.spi.ImageOutputStreamSpi)(version>=0.0.0))
resolution:=optional
cardinality:=multiple ...
...
osgi.wiring.package
osgi.wiring.package=java.awt.color
bundle-symbolic-name=java.desktop
bundle-version=10.0.2
version=0.0.0
osgi.wiring.package
osgi.wiring.package=javax.swing
bundle-symbolic-name=java.desktop
bundle-version=10.0.2
version=0.0.0
osgi.serviceloader
osgi.serviceloader=javax.sound.midi.spi.MidiDeviceProvider
version=0.0.0
...
...
Provides
Requires
osgi.wiring.bundle
osgi.wiring.bundle=java.desktop
java-module=true
bundle-version=10.0.2

11 |
DEMO TEST
• org.example.awtclient 1.0.0
• osgi.wiring.package; filter:=(&(osgi.wiring.package=java.awt)(version>=0.0.0))
© 2018 Software AG. All rights reserved.

12 |
THANK YOU
• Feedback welcome on https://github.com/osgi/design/blob/master/rfps/rfp-0190-
Resource%20encoding%20for%20Java%20Modules.odt
© 2018 Software AG. All rights reserved. For internal use only

13 | © 2018 Software AG. All rights reserved.

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The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

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Dubai, known for its towering skyscrapers, luxurious lifestyle, and relentless pursuit of innovation, often finds itself in the global spotlight. However, amidst the glitz and glamour, the emirate faces its own set of challenges, including the occasional threat of flooding. In recent years, Dubai has experienced sporadic but significant floods, disrupting normalcy and posing unique challenges to its infrastructure. Among the critical nodes in this bustling metropolis is the Dubai International Airport, a vital hub connecting the world. This article delves into the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

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Dubai, often portrayed as a shimmering oasis in the desert, faces its own set of challenges, including the occasional threat of flooding. Despite its reputation for opulence and modernity, the emirate is not immune to the forces of nature. In recent years, Dubai has experienced sporadic but significant floods, testing the resilience of its infrastructure and communities. Among the critical lifelines in this bustling metropolis is the Dubai International Airport, a bustling hub that connects the city to the world. This article explores the intersection of Dubai flood events and the resilience demonstrated by the Dubai International Airport in the face of such challenges.

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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

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Elevate Developer Efficiency & build GenAI Application with Amazon Q

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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.

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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

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Meld OSGi Bundles with Java Modules - Udo Hafermann (Software AG)

3. 3 | OVERVIEW This talk presents RFP 190: Resource Encoding of Java Modules 1. Application Domain and Problem Statement 2. Use Cases 3. Requirements 4. Proof of Concept 5. Open Ends © 2018 Software AG. All rights reserved. For internal use only

4. 4 | PROBLEM STATEMENT • We want self-contained Java applications with minimal footprint • For OSGi, we can resolve the set of required bundles • But JRE can easily dominate the overall size • With JPMS, we can strip down to the modules required • How to determine which ones are required? • R7 provides the flat list of all boot layer packages • Removing modules from the boot layer is a trial and error process • We need the modules as such to be visible to tools and runtime © 2018 Software AG. All rights reserved. For internal use only

5. 5 | USE CASES • Build a compact Docker image • Build a self-contained, no-installation tool • Analyze JRE footprint, bundle by bundle • Introspect JRE at runtime • Create hybrid app of OSGi bundles and JPMS modules © 2018 Software AG. All rights reserved. For internal use only

6. 6 | GENERAL REQUIREMENTS • Resolver can still be used to build consistent set of modules and bundles – Should not require a new tool or component • Bundles are not forced to explicitly reference modules – Just as we don’t want bundles to explicitly reference bundles • A bundle may function as a module – OSGi framework as a special case • Includes third-party modules • Best-effort JPMS validation – Rejects duplicate and (optionally) conflicting and cyclic modules © 2018 Software AG. All rights reserved. For internal use only

7. 7 | RESOLVING DEPENDENCIES • Module identity and version • Bundle package imports to module exports • Modules to modules • (Optional) Module services as resources • (Optional) Requirements to module services © 2018 Software AG. All rights reserved. For internal use only

8. 8 | ENHANCING METADATA • Add version range requirements for modules • Use bundle annotations for additional JPMS module dependencies • Replace org.osgi.framework.system.packages with module resource representations © 2018 Software AG. All rights reserved. For internal use only

9. 9 | PROOF OF CONCEPT • Modeling – Module as special kind of bundle – Require module as require-bundle – Module exports as export-package – Module provides as service-loader capability – Module uses as service-loader requirement • Extracts of actual metadata • Run resolver on “awt” example © 2018 Software AG. All rights reserved. For internal use only

10. 10 | MODULE METADATA © 2018 Software AG. All rights reserved. For internal use only java.desktop osgi.identity osgi.identity=java.desktop type=java-module singleton=true version=10.0.2 osgi.wiring.bundle filter:=(&(osgi.wiring.bundle=java.base)(bundle-version=10.0.2)(java-module=true)) resolution:=mandatory osgi.wiring.bundle filter:=(&(osgi.wiring.bundle=java.prefs)(bundle-version=10.0.2)(java-module=true)) visibility:=reexport resolution:=mandatory osgi.serviceloader filter:=(&(osgi.serviceloader=javax.imageio.spi.ImageOutputStreamSpi)(version>=0.0.0)) resolution:=optional cardinality:=multiple ... ... osgi.wiring.package osgi.wiring.package=java.awt.color bundle-symbolic-name=java.desktop bundle-version=10.0.2 version=0.0.0 osgi.wiring.package osgi.wiring.package=javax.swing bundle-symbolic-name=java.desktop bundle-version=10.0.2 version=0.0.0 osgi.serviceloader osgi.serviceloader=javax.sound.midi.spi.MidiDeviceProvider version=0.0.0 ... ... Provides Requires osgi.wiring.bundle osgi.wiring.bundle=java.desktop java-module=true bundle-version=10.0.2

12. 12 | THANK YOU • Feedback welcome on https://github.com/osgi/design/blob/master/rfps/rfp-0190- Resource%20encoding%20for%20Java%20Modules.odt © 2018 Software AG. All rights reserved. For internal use only

Meld OSGi Bundles with Java Modules - Udo Hafermann (Software AG)

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