AtlasCamp 2014: Preparing Your Plugin for JIRA Data Center
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JIRA and Confluence are introducing new product editions with support for high availability and clustering. Depending on your add-on, supporting enterprise-grade deployments of JIRA and Confluence could require updates to your plugin. Get a sneak preview of the application architecture for HA and clustering, and learn how you can ensure your plugin is ready to run in these mission critical installations.
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In five short years Vistronix, which supports mission critical functions within the Department of Defense, grew their deployment from 0 to 60,000 very active users. Along the way they learned to scale the entire Atlassian stack and administration.
Every time a new team found success with JIRA, Confluence, or Bitbucket, the user base expanded dramatically. Better hardware, and smart configurations were only half the battle. They also needed JIRA Service Desk to help them organize administration requests and scale with only a handful of admins.
Find out how they kept it all running smoothly for such a high security client such as the Department of Defense.
Products covered:
JIRA Software, JIRA Service Desk, Confluence, Bitbucket
The Big Migration: How Cerner Moved From Confluence 3.5 to 5.8
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Automate Mission Critical Business Workflows With JIRA
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Driving JIRA Adoption Through Simple Configuration
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Data Center provides administrators with control, customization, performance at scale, and instant scalability when hosting Atlassian applications.
Join us to learn about improvements to Data Center's core technology that allow for smoother upgrades, better user management, and expanded deployment options. Improved reliability and uptime are just the tip of the iceberg.
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
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.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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AtlasCamp 2014: Preparing Your Plugin for JIRA Data Center
- 1. June 3-5, 2014 | Berlin, Germany
- 2. Chris Fuller, Senior Developer, Atlassian Data Center for Developers
- 3. • About Data Center • Hazards for Plugins • Marketplace • Resources ! Data Center for Developers
- 4. • Clustering • Scale and Performance • High Availability • Hardware Maintenance • Unexpected outages Data Center: The Reasons
- 5. Data Center: The Picture Users WAN Index Database JIRA
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- 7. • What you don’t know… • Long-lived caches • Scheduled tasks • Locking Plugins: Danger Zone!
- 8. Sharing is Caring Odds and Ends Locks Scheduled Tasks Caches
- 9. • Expensive Information • I/O costs • CPU costs • Caching is not free • Memory costs • Consistency risks Caches: The Problem ?!
- 10. • Local or clustered • Replication control • By invalidation • By copy • Lazy loading pattern • Statistical reporting Caches: Atlassian Cache 2.0
- 11. • Rolling your own • HTTP Session as a cache • Unbounded caches • Custom key classes • Enumerating the keys Caches: Asking for Trouble ?!
- 12. • Don’t keep state! • Atlassian Cache API • Lazy load pattern • Set bounds • Maximum size? • Timeout (30 minutes) • Use simple keys Caches: Best practices
- 13. Sharing is Caring Odds and Ends Locks Caches Scheduled Tasks
- 14. • Per-node maintenance • Atlassian Scheduler API • SAL PluginScheduler • Backward compatibility • Confluence ! Scheduler: Local 1:00 2:00 3:00 4:00
- 15. • Runs on any one node • Atlassian Scheduler API • Quartz (Deprecated) • Compatibility library Scheduler: Clustered 1:00 2:00 3:00 4:00
- 16. • Atlassian Scheduler API • Clustered run-immediately job • Could run twice • Specify initial run time • Unscheduling on disable • Unschedules for whole cluster • Unregister job runner instead Scheduler: Dos and Don’ts
- 17. Sharing is Caring Odds and Ends Caches Scheduled Tasks Locks
- 18. • synchronized • java.util.concurrent • atlassian-util-concurrent Locks: Local
- 19. • Atlassian Beehive • Cluster-wide • Cheap in single node Locks: Clustered
- 20. • Problems • Expensive in a cluster • Not read/write ! ! • Alternatives • Lock-free SQL ordering • Optimistic locking • Tolerating inconsistency • Transactions Locks: The Details
- 21. Sharing is Caring Caches Locks Scheduled Tasks Odds and Ends
- 22. • Application Home Split • Local home • Shared home No Place Like Shared Home • Application Home Split • Local home • Shared home • Application Home Split • Local home • Shared home
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