Data normalization across API interactionsCloud Elements
With Vineet Joshi, CTO and Co-founder of Cloud Elements
Vineet discusses the normalization of data and similar domain models so it can uniformly act with end points that consume data of the same types.
Doing this declaratively instead of programmatically, the benefit is that once you have declared the transformation configuration of a given type of data, interaction between different endpoints is possible for the same type of data in endpoint specific formats.
Data normalization across API interactionsCloud Elements
With Vineet Joshi, CTO and Co-founder of Cloud Elements
Vineet discusses the normalization of data and similar domain models so it can uniformly act with end points that consume data of the same types.
Doing this declaratively instead of programmatically, the benefit is that once you have declared the transformation configuration of a given type of data, interaction between different endpoints is possible for the same type of data in endpoint specific formats.
A high-level talk on developing APIs for mobile devices in enterprise, partner, and internal modes, with notes on our experience at Klout. Some big concepts are glossed over, and lots of details may be simplified for brevity.
Office 365 Groups and Tasks API - Getting StartedDragan Panjkov
European SharePoint Conference 2016 session - Office 365 Groups have the main purpose to increase productivity of teams by leveraging different services under a single hub. Besides that, groups also can be used in Power BI, OneNote and Dynamics CRM, as well as underlying technology to Planner in Office 365. Groups can be accessed through Microsoft Graph API that provide relevant information through set of resources contained in the group content. In this session you will get introduced to Groups and Tasks APIs in Office 365, learn what are the basic resources available through REST calls and how to use them in your applications.
In this webinar we'll talk about the team structures, the roles and responsibilities and the politics that we've encountered for running an API that uses facade patterns.
- Roles needed
- Skill sets and experiences required
- Management
Node's Event Loop From the Inside Out - Sam Roberts, IBMNodejsFoundation
Do you think Node is asynchronous because it uses a thread pool for network interactions? Do you there is a relationship between "event emitters" and the "event loop"? I will be working through these misaprehensions as well as others, showing how the Node.js event loop really works. There are many, many pictures and blogs on this topic, but many of them are subtly wrong, or outright misleading. Despite that its event loop that is key to Node's scalability and performance, it remains a misunderstood black box to many. I will show how it works - C code may be seen! - talk about why it works that way, and what some of the implications are for Node developers, as well as briefly describe some changes that the Node core team are considering with respect to how Node uses libuv.
Externalized Distributed Configuration Management with Spring Cloud Config-Se...Nikhil Hiremath
A brief 30 minute tutorial on Spring Cloud Config Server - Centralized, distributed configuration management. Helps you quickly get started with Config-Server, config-server registration and discovery, externalizing configuration into secure remote configuration repository. In this guide you'll see all of this made possible with the help of Spring Boot, Spring Cloud Netflix, Spring cloud Eureka and Spring Cloud Config server framework.
Amazon SageMaker를 통한 대용량 모델 훈련 방법 살펴보기 - 김대근 AWS AI/ML 스페셜리스트 솔루션즈 아키텍트 / 최영준...Amazon Web Services Korea
대량의 딥러닝 모델의 훈련을 위해 Amazon SageMaker에서는 새로운 분산 훈련 기능과 빠른 분산 훈련 환경을 제공하고 있습니다. 특히 기존 TensorFlow/PyTorch의 코드에 몇 줄만 추가하면 쉽게 Amazon SageMaker 환경으로 마이그레이션하여 훈련 속도를 단축할 수 있습니다. 또한 모니터링 기능으로 리소스 사용률을 제공하며, 훈련 속도 최적화에 활용이 가능합니다. 예제 코드와 데모를 통해 Amazon SageMaker 분산 훈련의 이점을 자세히 알려 드립니다.
Slides from the May 20th workshop at the Seattle Node.js Meetup presented by Shubhra Kar titled: "Develop, Deploy, Monitor and Hyper-scale REST APIs Built in Node.js"
A high-level talk on developing APIs for mobile devices in enterprise, partner, and internal modes, with notes on our experience at Klout. Some big concepts are glossed over, and lots of details may be simplified for brevity.
Office 365 Groups and Tasks API - Getting StartedDragan Panjkov
European SharePoint Conference 2016 session - Office 365 Groups have the main purpose to increase productivity of teams by leveraging different services under a single hub. Besides that, groups also can be used in Power BI, OneNote and Dynamics CRM, as well as underlying technology to Planner in Office 365. Groups can be accessed through Microsoft Graph API that provide relevant information through set of resources contained in the group content. In this session you will get introduced to Groups and Tasks APIs in Office 365, learn what are the basic resources available through REST calls and how to use them in your applications.
In this webinar we'll talk about the team structures, the roles and responsibilities and the politics that we've encountered for running an API that uses facade patterns.
- Roles needed
- Skill sets and experiences required
- Management
Node's Event Loop From the Inside Out - Sam Roberts, IBMNodejsFoundation
Do you think Node is asynchronous because it uses a thread pool for network interactions? Do you there is a relationship between "event emitters" and the "event loop"? I will be working through these misaprehensions as well as others, showing how the Node.js event loop really works. There are many, many pictures and blogs on this topic, but many of them are subtly wrong, or outright misleading. Despite that its event loop that is key to Node's scalability and performance, it remains a misunderstood black box to many. I will show how it works - C code may be seen! - talk about why it works that way, and what some of the implications are for Node developers, as well as briefly describe some changes that the Node core team are considering with respect to how Node uses libuv.
Externalized Distributed Configuration Management with Spring Cloud Config-Se...Nikhil Hiremath
A brief 30 minute tutorial on Spring Cloud Config Server - Centralized, distributed configuration management. Helps you quickly get started with Config-Server, config-server registration and discovery, externalizing configuration into secure remote configuration repository. In this guide you'll see all of this made possible with the help of Spring Boot, Spring Cloud Netflix, Spring cloud Eureka and Spring Cloud Config server framework.
Amazon SageMaker를 통한 대용량 모델 훈련 방법 살펴보기 - 김대근 AWS AI/ML 스페셜리스트 솔루션즈 아키텍트 / 최영준...Amazon Web Services Korea
대량의 딥러닝 모델의 훈련을 위해 Amazon SageMaker에서는 새로운 분산 훈련 기능과 빠른 분산 훈련 환경을 제공하고 있습니다. 특히 기존 TensorFlow/PyTorch의 코드에 몇 줄만 추가하면 쉽게 Amazon SageMaker 환경으로 마이그레이션하여 훈련 속도를 단축할 수 있습니다. 또한 모니터링 기능으로 리소스 사용률을 제공하며, 훈련 속도 최적화에 활용이 가능합니다. 예제 코드와 데모를 통해 Amazon SageMaker 분산 훈련의 이점을 자세히 알려 드립니다.
Slides from the May 20th workshop at the Seattle Node.js Meetup presented by Shubhra Kar titled: "Develop, Deploy, Monitor and Hyper-scale REST APIs Built in Node.js"
Slides for a talk at the Colorado Software Summit in 2008 that I did about growing Bumper Sticker, a Ruby on Rails Facebook app to over a billion pageviews.
Funny thing is ... I had to bail on the conference. Had to ship product.
Entrepreneurship Tips With HTML5 & App Engine Startup Weekend (June 2012)Ido Green
My talk in Startup Weekend 2012 during Google I/O. It cover, startup life tips, modern web apps and how to leverage Google cloud (specific App Engine).
Powerful Google developer tools for immediate impact! (2023-24 A)wesley chun
This is one of two 45-60-min presentations to students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many other cloud services? In this comprehensive yet still high-level overview of Google Cloud tools & APIs with the purpose of inspiring you as to what's possible. The session introduces Google's machine learning & other APIs, tools that have an immediate impact on projects, alleviating the need to think about computing infrastructure as well as dispensing with the need to have machine learning expertise. We'll wrap up w/online resources like videos & hands-on tutorials to get you started! The main takeaways are where to run your code, store your data, and analyze your data, all in the cloud!
The other version of this talk ("B") focuses more on serverless platforms.
This is the presentation that I gave on the European On Air tour in Munich. Hence the footy pieces. A lot of the presentation was going through a live application, a port of the addressbook app to App Engine, that lives on Google Code.
You may know Google for search, YouTube, Android, Chrome, and Gmail, but that's only as an end-user of OUR apps. Did you know you can also integrate Google technologies into YOUR apps? We have many APIs and open source libraries that help you do that! If you have tried and found it challenging, didn't find not enough examples, run into roadblocks, got confused, or just curious about what Google APIs can offer, join us to resolve any blockers. Code samples will be in Python and/or Node.js/JavaScript. This session focuses on showing you how to access Google Cloud APIs from one of Google Cloud's compute platforms, whether serverless or otherwise.
30-45-min tech talk given at user groups or technical conferences to introducing developers to integrating with Google APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
A fresh look at Google’s Cloud by Mandy Waite Codemotion
Google, one of the early PaaS (Platform as a Service) pionneers, has recently substantially improved AppEngine, expanded its Cloud Platform to include CloudStorage, BigQuery and soon Google Compute Engine (still in early access as of this writing).
Google Cloud Next '22 Recap: Serverless & Data editionDaniel Zivkovic
See what's new in #Serverless and #Data at GCP. Our guest, Guillaume Blaquiere - Stack Overflow contributor & #GCP #Developer Expert from France, covered the best #GoogleCloudNext announcements, practically demoed how to benefit from #BigQuery Remote Functions and answered many questions.
The meetup recording with TOC for easy navigation is at https://youtu.be/AuZZTwHIcdY
P.S. For more interactive lectures like this, go to http://youtube.serverlesstoronto.org/ or sign up for our upcoming live events at https://www.meetup.com/Serverless-Toronto/events/
Strategies and Tips for Building Enterprise Drupal Applications - PNWDS 2013Mack Hardy
Mack Hardy, Dave Tarc, Damien Norris of Affinity Bridge presenting at Pacific Northwest Drupal Summit in Vancouver, October 5th, 2013. The presentation walks through management of releases, deployment strategies and build strategies with drupal features, git, and make files. Performance and caching is also covered, as well as specific tips and tricks for configuring apache and managing private files.
What's new in App Engine and intro to App Engine for BusinessChris Schalk
This is a presentation given by Devfest Madrid 2010 by Google Developer Advocate Chris Schalk on "What's new in Google App Engine and Intro to App Engine for Business"
Half-hour tech talk given at user groups or technical conferences to introducing developers to integrating with Google (Cloud) APIs from Python .
ABSTRACT
Want to integrate Google technologies into the web+mobile apps that you build? Google has various open source libraries & developer tools that help you do exactly that. Users who have run into roadblocks like authentication or found our APIs confusing/challenging, are welcome to come and make these non-issues moving forward. Learn how to leverage the power of Google technologies in the next apps you build!!
Cloud computing overview & Technical intro to Google Cloudwesley chun
This is a 60-min tech talk designed for developers to give a comprehensive, vendor-agnostic overview of cloud computing. This is followed by an introduction to products in Google Cloud, focusing on the serverless & machine learningproducts. The talk ends with several inspirational examples of what can be built with Google Cloud
OSCON Google App Engine Codelab - July 2010ikailan
Slides for the App Engine codelab given on July 20, 2010. Note that a more verbose version of this codelab is available at:
https://sites.google.com/site/gdevelopercodelabs/app-engine/python-codelab
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
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.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
4. Google App Engine is...
... a way for you to run
your web applications
on Google’s scalable
infrastructure.
Google’s Data Centers
5. Start with... the basic LAMP stack
LAMP:
Linux
Apache
MySql
Programming Language
(PHP, Python, Perl, etc.)
NOT Scalable
Single Point of Failure (SPOF)
Google Confidential and Proprietary
6. Database on a separate server
Still not Scalable!
TWO Single Points of Failure
Google Confidential and Proprietary
7. Multiple Web Servers
Now you need Load Balancing
Database is still Single Point of Failure
Google Confidential and Proprietary
8. Round Robin Load Balancing
Register list of IPs with DNS
DNS record is cached with a Time to Live (TTL)
Google Confidential and Proprietary
9. Round Robin Load Balancing
But the TTL takes time to propagate and might not be respected
So if a machine goes down... :-(
And the database is still SPOF
Google Confidential and Proprietary
10. Master Slave Database
:-) Better read throughput :-( Master is SPOF for writes
:-( Master may die before replication
Google Confidential and Proprietary
11. Partitioned Database
:-) Better R/W throughput :-( More machines, more management
:-( Re-architect data model
:-( Rewrite queries
Google Confidential and Proprietary
12. Why build it all yourself?
Google Confidential and Proprietary
13. Why not use Google App Engine?
Simple application configuration
No systems administration
No performance tuning
AUTOMATIC SCALING!
Google Confidential and Proprietary
21. Bigtable - The App Engine datastore
Distributed, partitioned datastore
Arbitrary horizontal scaling - scales to “Internet scale”
Replicated and fault tolerant
Parallel processing
Predictable query performance
No deadlocks
Google Confidential and Proprietary
22. Memcache
Distributed, very fast,
in-memory cache
Optimistic caching
Very stable, robust and specialized
Google Confidential and Proprietary
23. URL Fetch
Simple, HTTP communication
HTTP GET/POST to external service
Allows integration with third-party REST APIs
Google Confidential and Proprietary
24. Mail
Inbound and outbound mail
Outbound mail
Inbound mail handling
Attachment processing
Google Confidential and Proprietary
25. XMPP
Instant messaging for your application
Incoming and outgoing XMPP
No need to worry about setting up servers
Google Confidential and Proprietary
26. Task Queue
Background and scheduled
computation
Background processing infrastructure
Scheduled jobs
Automatic handling of queuing and job polling
Google Confidential and Proprietary
27. Images
Image manipulation
Resize
Crop
Image compositions
Google Confidential and Proprietary
28. Blobstore
Heavy lifting for large files
Upload and distribute large files
Programmatic access to file contents
Google Confidential and Proprietary
29. User Accounts
Federated login for your application
Google Accounts or OpenID
Administrator management
No need to create user management system
Google Confidential and Proprietary
31. Getting started with App Engine
Download the SDK
http://code.google.com/appengine
Register for an Appspot account
https://appengine.google.com
Write code - deploy!
32. Starting a project
Linux, MacOS, etc. command-line:
$ dev_appserver.py helloworld # run dev svr
$ appcfg.py update helloworld # deploy live
Windows GUI (also avail for Mac):
33. Project contents
app.yaml – main configuration file
index.yaml – automatically
generated to index your data
main.py – your main application
"controller" code goes here