Hello cloud 3
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This document discusses GraphDB and Docker. It introduces GraphDB as a database that stores objects and links between objects, unlike relational databases. It also introduces Docker as an open platform for building, shipping, and running distributed applications. The assignments listed involve JSON, YAML, graph databases, listing NoSQL databases and their storage types, and use cases for NoSQL data storage. The next topics to be discussed are listed as GraphDB, Docker, and IOT.
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The document discusses the 12 Factor App methodology for building scalable software-as-a-service applications. The 12 factors are: use one codebase tracked in version control; declare and isolate dependencies; store config in the environment; treat backing services as attached resources; separate build and run stages; execute the app as stateless processes; export services via port binding; scale out via processes; maximize robustness with fast startup and graceful shutdown; keep development, staging, and production environments similar; treat logs as event streams; and run admin/management tasks as one-off processes.
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The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
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Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
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- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
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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.
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June Patch Tuesday
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* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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