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The document proposes a back-end as a service (BAAS) product that provides developers with a flexible, scalable API-driven backend to focus on front-end development. It would allow users to create an app, access APIs using client libraries, and manage backups and scaling through a web console, with free and paid pricing plans. The product aims to address the growing demand for backend services as mobile and web apps require robust backend systems to store and process data.
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http://mbltdev.ru/
Back&
Back& is a cloud-based back-office data management solution that automatically generates user interfaces for mobile and web applications without requiring additional programming or infrastructure investments. It offers features like content management, user management, permissions, and reporting in a multi-language interface. This solution aims to reduce months of programming effort to just 2 minutes and provide a more robust solution than what can typically be developed in-house, saving both time and money for application developers. The company plans to generate revenue through a SaaS business model with free and premium paid tiers.
Google app engine
Google App Engine is a platform as a service (PaaS) developed by Google that allows developers to build and host web applications in Google-managed data centers. It was released in 2008 and automatically scales web applications as demand increases by allocating more resources. It supports several programming languages and provides features like automatic scaling, application versioning, and integration with other Google Cloud services.
Introduction to development using the share point framework mv ps
Introduction to development using the share point framework mv psUsama Wahab Khan Cloud, Data and AI
This document provides an overview of the SharePoint Framework and modern toolchain for developing client-side solutions in SharePoint. It discusses the evolution of the SharePoint development model and extensibility principles of purpose-built APIs, web hooks, and Graph integration. The modern toolchain is described including Office UI Fabric, tooling support, and components. Example scenarios for using the framework are provided along with descriptions of core framework components like client-side web parts and the page canvas.Intro apps
Biwug slideDesk first session 26/11/2013
This session is about an intro into the Apps model. There is much more to think about than just select what kind of type of app that you want to create.
Google Firebase Presentation
Google Firebase Presentation
- Create a Project in Firebase
- Build Batter Apps
- How to Earn Money
- Create AdMob Account
Introduction to Google Cloud Platform Technologies
This is a presentation on Google's Cloud Platform given by Google Developer Advocate, Chris Schalk on Dec 6th at CloudStock 2010.
Introduction to Google's Cloud Technologies
This is a presentation given by Google Developer Advocate, Chris Schalk, on Google's cloud technologies and how to build and run CFML apps on them.
Which Application Modernization Pattern Is Right For You?
App modernization projects are hard. Enterprises are looking to cloud-native platforms like Pivotal Cloud Foundry to run their applications, but they’re worried about the risks inherent to any replatforming effort.
Fortunately, several repeatable patterns of successful incremental migration have emerged.
In this webcast, Google Cloud’s Prithpal Bhogill and Pivotal’s Shaun Anderson will discuss best practices for app modernization and securely and seamlessly routing traffic between legacy stacks and Pivotal Cloud Foundry.
Pariksha ria presentation
parikshalabs.com provides Rich internet Apps, RIA Web Application and Web Mobile Application in the innovative RIA Field.
Bluemix - Overview & Benefits
The document discusses IBM Bluemix, a cloud platform for building, deploying, and managing apps. It highlights that Bluemix allows developers to deploy apps quickly using prebuilt services, to integrate with on-premise systems, and to manage apps through continuous integration and monitoring tools. Bluemix also offers flexible pricing models and works with developers' existing tools and investments.
IBM Bluemix Overview
A nice overview of IBM BlueMix - How it can be used, benefits for the user and how to sign up and use for FREE
Bluemix is an implementation of IBM's Open Cloud Architecture, leveraging Cloud Foundry to enable developers to rapidly build, deploy, and manage their cloud applications, while tapping a growing ecosystem of available services and runtime frameworks
Bluemixoverview
Bluemix is an implementation of IBM's Open Cloud Architecture, leveraging Cloud Foundry to enable developers to rapidly build, deploy, and manage their cloud applications, while tapping a growing ecosystem of available services and runtime frameworks
How does IBM Bluemix work?
The document discusses IBM Bluemix, a cloud platform for building, deploying, and managing apps. It highlights that Bluemix allows developers to deploy apps quickly using prebuilt services, to integrate with on-premise systems, and to manage apps through continuous integration and monitoring tools. Bluemix also offers flexible pricing models and works with developers' existing tools and investments.
Pariksha media offerings
parikshalabs.com provides Rich internet Apps, RIA Web Application and Web Mobile Application in the innovative RIA Field.
Bluemix summary
This document introduces IBM Bluemix, IBM's cloud platform. It provides an integrated development and operations environment for building, deploying, and managing applications with services for DevOps, big data, mobile, security, Internet of Things, and other areas. Bluemix offers various runtimes and frameworks. It allows composing applications from IBM, third-party, and open source services and APIs. Bluemix is designed to enable rapid application development and deployment with automated processes. It also provides integration capabilities and connects securely to on-premises systems.
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Appcelerator’s Cocoafish Acquisition and the Future of the Mobile Cloud
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Introduction to development using the share point framework mv ps
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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.
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Gopinath Rebala
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Essentials of Automations: The Art of Triggers and Actions in FME
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Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
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* Step-by-step implementation guide
* Live demos with code snippets
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
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Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
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Mind map of terminologies used in context of Generative AI
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Para Pitch Deck
- 1. Back-end for busy developers
- 2. Problem Software companies want to ship products as quickly as possible Web and mobile apps require a back-end system where the data is stored and processed The front-end can get complicated quickly — lots of new frameworks, workflows, UI & UX Developers need a solid and flexible back-end service that lets them focus on the client-side
- 3. Solution An open-source, flexible, scalable, API-driven back-end system
- 4. Market Validation ● With more than 3 million apps in App Store and Google Play combined, demand for back-end services is rising ● Google acquired Firebase, a cloud-based back-end platform
- 5. Product 1. Create an “App” 2. Get the secret key 3. Integrate with our API using one of the provided client libraries 4. Manage backups and scaling through the web console
- 6. Business Model Free and paid pricing plans
- 8. A product of Erudika LLC Alex Bogdanovski alex@erudika.com