Paris Tech Meetup talk : Troubles start at version 1.0Laurent Cerveau
Presentation given at the Paris Tech Meetup 2013. A checklist (with code example for iOS development) to anticipate potential problems that can happen during the upgrade process of an application.
SenchaCon 2016: Building a Faceted Catalog of Video Game Assets Using Ext JS ...Sencha
At Ubisoft Technology Group, we've created a platform for video game production to share game assets, in-game footage, and animations across the entire company. Ease of search and good UX were incredibly important for an audience of artists and creative types. This is where the Web and a powerful JavaScript framework came in; we chose Ext JS for its robustness and scalability. In this session, we'll showcase two different applications and dive into the technical aspects of designing the UI for a faceted search based on Elasticsearch.
Being RDBMS Free -- Alternate Approaches to Data PersistenceDavid Hoerster
The general thinking is that when you create a new application, your data will be persisted into an RDBMS like SQL Server. But with the advent of NoSQL solutions, document databases, key-value stores and other options, do you really need an RDBMS for your application? In this session we’ll look at some alternatives to your persistence solution by looking at utilizing NoSQL solutions like Mongo, search services like Solr, key-value stores and other approaches to data persistence. By the end of this session, you’ll rethink how your applications will store data in the future.
Introduction to CQRS - command and query responsibility segregationAndrew Siemer
A high level introduction to CQRS (command and query responsibility segregation), CQS (command query separation), DDD (domain driven design), DDD-D ...with distributed, and how all those weave together.
The document provides an overview of building web applications in Go. It discusses how Go allows creating self-contained binaries without wrappers like Apache or Nginx. It demonstrates a simple Hello World web app in Go and shows how to use templates to render HTML. It also covers routing, middleware, sessions, deployment to Google App Engine, and examples of real web apps built and deployed with Go.
This talk lays out the elements of an extension including the content model, JS API, Web Scripts, Content Policies, Action Executors, Web Scripts and more. This will draw on years of experience delivering extensions to various projects.
There is a code sample in github: https://github.com/rmknightstar/devcon2018
You can see the presentation as given at the Alfresco Developer Conference here : https://youtu.be/CKRswhh-jHE?list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&t=0
Kubernetes is an open-source container orchestration system originally developed by Google in 2014. It provides a platform to manage the lifecycle and networking of containerized applications across clusters of hosts. Kubernetes handles tasks like replication, rollouts, and health checking and allows developers to deploy containerized applications without worrying about infrastructure management. It uses concepts like pods, nodes, controllers and services to abstract away the details of deploying and maintaining applications in production.
Paris Tech Meetup talk : Troubles start at version 1.0Laurent Cerveau
Presentation given at the Paris Tech Meetup 2013. A checklist (with code example for iOS development) to anticipate potential problems that can happen during the upgrade process of an application.
SenchaCon 2016: Building a Faceted Catalog of Video Game Assets Using Ext JS ...Sencha
At Ubisoft Technology Group, we've created a platform for video game production to share game assets, in-game footage, and animations across the entire company. Ease of search and good UX were incredibly important for an audience of artists and creative types. This is where the Web and a powerful JavaScript framework came in; we chose Ext JS for its robustness and scalability. In this session, we'll showcase two different applications and dive into the technical aspects of designing the UI for a faceted search based on Elasticsearch.
Being RDBMS Free -- Alternate Approaches to Data PersistenceDavid Hoerster
The general thinking is that when you create a new application, your data will be persisted into an RDBMS like SQL Server. But with the advent of NoSQL solutions, document databases, key-value stores and other options, do you really need an RDBMS for your application? In this session we’ll look at some alternatives to your persistence solution by looking at utilizing NoSQL solutions like Mongo, search services like Solr, key-value stores and other approaches to data persistence. By the end of this session, you’ll rethink how your applications will store data in the future.
Introduction to CQRS - command and query responsibility segregationAndrew Siemer
A high level introduction to CQRS (command and query responsibility segregation), CQS (command query separation), DDD (domain driven design), DDD-D ...with distributed, and how all those weave together.
The document provides an overview of building web applications in Go. It discusses how Go allows creating self-contained binaries without wrappers like Apache or Nginx. It demonstrates a simple Hello World web app in Go and shows how to use templates to render HTML. It also covers routing, middleware, sessions, deployment to Google App Engine, and examples of real web apps built and deployed with Go.
This talk lays out the elements of an extension including the content model, JS API, Web Scripts, Content Policies, Action Executors, Web Scripts and more. This will draw on years of experience delivering extensions to various projects.
There is a code sample in github: https://github.com/rmknightstar/devcon2018
You can see the presentation as given at the Alfresco Developer Conference here : https://youtu.be/CKRswhh-jHE?list=PLyJdWuUHM3igOUt49uiFqs-6DCQAgJ1vs&t=0
Kubernetes is an open-source container orchestration system originally developed by Google in 2014. It provides a platform to manage the lifecycle and networking of containerized applications across clusters of hosts. Kubernetes handles tasks like replication, rollouts, and health checking and allows developers to deploy containerized applications without worrying about infrastructure management. It uses concepts like pods, nodes, controllers and services to abstract away the details of deploying and maintaining applications in production.
This document discusses enhancing scalability using Node.js. It describes scalability challenges and common industry solutions like horizontal and vertical scaling, which have issues like requiring load balancing and additional investments. It also discusses multi-threading and cloud computing issues like deadlocks and lack of skills. The document proposes an asynchronous, event-driven architecture using Node.js, Nginx, load balancing and a proxy server. It provides details on how this architecture allows for non-blocking I/O, high throughput and minimal latency to improve scalability over traditional solutions. A PayPal case study shows benefits of this approach.
DDD, CQRS and testing with ASP.Net MVCAndy Butland
This document provides an overview of a presentation on Domain Driven Design (DDD), Command Query Responsibility Segregation (CQRS), and testing with ASP.Net MVC. It introduces the presenter and gives an outline of the topics to be covered, including implementing DDD with ASP.Net MVC and Entity Framework, using a mediator pattern for CQRS, and unit testing models, queries, and commands. References are given to other authors and resources that influenced the approaches and implementations discussed in the presentation.
DEV03 - How Watson, Bluemix, Cloudant, and XPages Can Work Together In A Real...Frank van der Linden
This document summarizes a presentation about how Watson, Bluemix, Cloudant, and XPages can work together in a real-world HR Assistant application. The application uses IBM Bluemix as a platform, Cloudant as a NoSQL database to store and retrieve data, IBM Watson services like Tone Analyzer and Personality Insights to analyze job posts and applications, and ChartJS to visualize analysis results. Lessons learned include that IBM Cloud services are powerful but APIs are inconsistent, and integrating Cloudant required extra work but it is reliable and flexible. Future plans include commercializing the solution and adding more capabilities.
Part 1 of the REAL Webinars on Oracle Cloud Native Application DevelopmentLucas Jellema
part 1 in a six part series on Cloud Native Application Development with Oracle Cloud Infrastructure (OCI). In this part an overview of OCI, an introduction of the Katacoda Handson Scenarios, an intro to the Preparation Scenario, details on the Compute Service and the Events & Notification Services. A short demo of the Preparation Scenario concludes the session.
see the recording of the live session here: https://www.youtube.com/watch?v=txRamyzA9Ns
Automating Cloud Cluster Deployment: Beyond the BookBill Havanki
Speed and reliability in deploying big data clusters is key for effectiveness in the cloud. Drawing on ideas from his book Moving Hadoop to the Cloud, which covers essential practices like baking images and automating cluster configuration, Bill Havanki explains how you can automate the creation of new clusters from scratch and use metrics gathered using the cloud provider to scale up.
Anatomy of a Modern Node.js Application Architecture AppDynamics
This document provides an overview of the typical components and architecture of a modern Node.js application, including web and application servers, a queue, worker servers, databases, caches, and how to monitor transactions as they flow through the distributed system. It also describes how to configure AppDynamics to monitor errors, transactions, hardware resources, calls to external services and databases, and end user experience for Node.js applications.
SenchaCon 2016: A Data-Driven Application for the Embedded World - Jean-Phili...Sencha
View this presentation to see a real-time and data-centric application designed to help people manage large facilities, buildings, and homes in a smart way. It notably features D3.js dashboards, user-friendly device mapping, and automatic alerts on suspicious power consumptions.
This document discusses reactive software systems and programming paradigms like functional programming. It introduces concepts like actors, futures, and message passing from frameworks like Akka that help build responsive and resilient reactive applications. The document also covers Scala features for functional programming like immutability, pattern matching, and actors from the Akka framework in Scala.
This talk demonstrates how to develop single page apps with the new angular2 framework and TypeScript. We show the new concepts of angular2 not only in theory, but using a real application. To this end, we develop a real-time angular2 website, for users to to ask and upvote questions during a talk identified by a hash tag. The session chair can ask the most popular questions at the end of the talk.
Dieser Vortrag zeigt, wie man mit dem neuen Angular2 Framework und TypeScript schnelle Single Page Apps entwickelt. Die neuen Konzepte von Angular2 zeigen wir dabei nicht nur in der Theorie, sondern ganz praktisch. Dazu entwickeln wir live eine Real-Time Angular2 App, mit der Zuhörer während eines Vortrags – identifiziert durch einen Hash-Tag - Fragen stellen und gegenseitig upvoten können. Der Session Chair kann so am Ende eines Vortrags die bestbewertesten Fragen an den Speaker stellen.
The document discusses getting started with automation on Juniper devices using Python. It provides an overview of the Junos automation options like Ansible, Chef and Puppet before focusing on pyez, a Python library for interacting with a device's NETCONF API. It covers installing pyez and setting up a device connection, and includes examples of retrieving device facts, interface information and the routing table. It also discusses updating the device configuration and more advanced techniques like Jinja templating.
CQRS (Command Query Responsibility Segregation) is an architectural pattern that separates read and write operations into different models. This improves read performance by allowing queries to be routed to optimized data stores like fast in-memory or denormalized databases. Commands produce events that are asynchronously published to multiple recipients. Event handlers subscribe to events and perform actions like persisting state changes or updating aggregates. The read side may be eventually consistent with the write side to improve write performance without distributed transactions. Messaging systems like RabbitMQ can reliably deliver commands and events. Frameworks like NCQRS help implement the CQRS pattern for .NET applications.
Play 2.0 integrates the Akka framework to provide built-in support for concurrency. It is designed for asynchronous HTTP requests that can be long-lived using streams or sockets. Concurrency is handled through actors instead of threads for a reactive, event-based model. Play 2.0 provides APIs for asynchronous I/O, executing long tasks asynchronously using actors, and handling data streams reactively without buffering.
This document discusses various third party authentication methods that can be used with WebObjects applications, including storing hashed passwords in a database, authenticating against LDAP services, Kerberos/SSO, and gateway/web authentication solutions. It provides code examples for hashing passwords with SHA-256 before storing in a database, authenticating against an LDAP server using JNDI, and authenticating with Kerberos. It also discusses hybrid approaches that integrate database and LDAP user attributes, as well as considerations for using gateway/web authentication.
Lessons Learned from Building a Multi-Tenant Saas Content Management System o...MongoDB
The document introduces Kevin Wright and Jonathan Roeder, who both have experience with MongoDB. It then provides information about their company, which has been in business since 1999 and processes $2.8 billion annually on its ecommerce platform. It goes on to describe their multi-tenant CMS application built with .NET and MongoDB, including approaches taken for schema design, sharding implementation, and best practices.
The document discusses various algorithms used in content delivery networks (CDNs) including:
1) The Gale-Shapley algorithm for stable allocation of clients to server clusters.
2) Consistent hashing to balance load within clusters and cache popular objects on multiple servers.
3) Bloom filters for cache summarization and filtering one-hit wonders from caching.
4) Multi-commodity flow modeling for overlay routing between edge servers and origins to provide high availability and performance.
This document outlines the agenda for Season 2 Episode 2 of an event. The episode will include:
1. Lightning talks on various Reactive and Rx topics from different speakers
2. Guest speakers Jake Wharton from Square, Matt Ingenthron from Couchbase, and Will Sargent from Typesafe
3. More details on RxJava and composable reactive functions
Fighting Against Chaotically Separated Values with EmbulkSadayuki Furuhashi
We created a plugin-based data collection tool that can read any chaotically formatted files called "CSV" by guessing its schema automatically
Talked at csv,conf,v2 in Berlin
http://csvconf.com/
The document discusses asynchronous and non-blocking I/O with JRuby. It explains that asynchronous operations are better than synchronous operations because they use fewer resources and allow for parallelism. It provides an example of building a JRuby application with the Ratpack framework that makes asynchronous HTTP requests to eBay's API in a non-blocking way using promises. It also discusses using RxJava and Hystrix with Ratpack to build a book management application that handles data and API requests asynchronously.
Windows 8 apps can access data from services in several ways:
- They can call ASMX, WCF, and REST services asynchronously using HttpClient and retrieve responses.
- They can access oData services using the oData client library.
- They can retrieve RSS feeds using SyndicationClient and parse the responses.
- They can perform background transfers using BackgroundDownloader.
- They can update tiles periodically by polling a service and setting updates.
Node.js is a platform for building scalable network applications. It uses Google's V8 JavaScript engine and a non-blocking I/O model. Some key points:
- Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for real-time applications.
- It has a large ecosystem of open source modules. Popular frameworks include Express and Fab.
- While Node.js is very fast for I/O operations, memory usage can grow quickly and scaling to multiple cores requires multiple processes.
- The author argues Node.js is suitable for single-page apps, real-time applications, and crawlers, but
DirectX 12 provides major performance improvements over previous versions by optimizing the entire graphics stack and distributing work more efficiently between the application, engine, driver, operating system, and GPU. It uses a multi-threaded execution model with asynchronous resource access and command buffers, and supports features like execute indirect, multi-engine/multi-adapter for scalability. Hardware support is organized into feature levels to identify supported capabilities independent of the API version. Tools are integrated to help developers optimize their games and applications for DirectX 12.
This document discusses enhancing scalability using Node.js. It describes scalability challenges and common industry solutions like horizontal and vertical scaling, which have issues like requiring load balancing and additional investments. It also discusses multi-threading and cloud computing issues like deadlocks and lack of skills. The document proposes an asynchronous, event-driven architecture using Node.js, Nginx, load balancing and a proxy server. It provides details on how this architecture allows for non-blocking I/O, high throughput and minimal latency to improve scalability over traditional solutions. A PayPal case study shows benefits of this approach.
DDD, CQRS and testing with ASP.Net MVCAndy Butland
This document provides an overview of a presentation on Domain Driven Design (DDD), Command Query Responsibility Segregation (CQRS), and testing with ASP.Net MVC. It introduces the presenter and gives an outline of the topics to be covered, including implementing DDD with ASP.Net MVC and Entity Framework, using a mediator pattern for CQRS, and unit testing models, queries, and commands. References are given to other authors and resources that influenced the approaches and implementations discussed in the presentation.
DEV03 - How Watson, Bluemix, Cloudant, and XPages Can Work Together In A Real...Frank van der Linden
This document summarizes a presentation about how Watson, Bluemix, Cloudant, and XPages can work together in a real-world HR Assistant application. The application uses IBM Bluemix as a platform, Cloudant as a NoSQL database to store and retrieve data, IBM Watson services like Tone Analyzer and Personality Insights to analyze job posts and applications, and ChartJS to visualize analysis results. Lessons learned include that IBM Cloud services are powerful but APIs are inconsistent, and integrating Cloudant required extra work but it is reliable and flexible. Future plans include commercializing the solution and adding more capabilities.
Part 1 of the REAL Webinars on Oracle Cloud Native Application DevelopmentLucas Jellema
part 1 in a six part series on Cloud Native Application Development with Oracle Cloud Infrastructure (OCI). In this part an overview of OCI, an introduction of the Katacoda Handson Scenarios, an intro to the Preparation Scenario, details on the Compute Service and the Events & Notification Services. A short demo of the Preparation Scenario concludes the session.
see the recording of the live session here: https://www.youtube.com/watch?v=txRamyzA9Ns
Automating Cloud Cluster Deployment: Beyond the BookBill Havanki
Speed and reliability in deploying big data clusters is key for effectiveness in the cloud. Drawing on ideas from his book Moving Hadoop to the Cloud, which covers essential practices like baking images and automating cluster configuration, Bill Havanki explains how you can automate the creation of new clusters from scratch and use metrics gathered using the cloud provider to scale up.
Anatomy of a Modern Node.js Application Architecture AppDynamics
This document provides an overview of the typical components and architecture of a modern Node.js application, including web and application servers, a queue, worker servers, databases, caches, and how to monitor transactions as they flow through the distributed system. It also describes how to configure AppDynamics to monitor errors, transactions, hardware resources, calls to external services and databases, and end user experience for Node.js applications.
SenchaCon 2016: A Data-Driven Application for the Embedded World - Jean-Phili...Sencha
View this presentation to see a real-time and data-centric application designed to help people manage large facilities, buildings, and homes in a smart way. It notably features D3.js dashboards, user-friendly device mapping, and automatic alerts on suspicious power consumptions.
This document discusses reactive software systems and programming paradigms like functional programming. It introduces concepts like actors, futures, and message passing from frameworks like Akka that help build responsive and resilient reactive applications. The document also covers Scala features for functional programming like immutability, pattern matching, and actors from the Akka framework in Scala.
This talk demonstrates how to develop single page apps with the new angular2 framework and TypeScript. We show the new concepts of angular2 not only in theory, but using a real application. To this end, we develop a real-time angular2 website, for users to to ask and upvote questions during a talk identified by a hash tag. The session chair can ask the most popular questions at the end of the talk.
Dieser Vortrag zeigt, wie man mit dem neuen Angular2 Framework und TypeScript schnelle Single Page Apps entwickelt. Die neuen Konzepte von Angular2 zeigen wir dabei nicht nur in der Theorie, sondern ganz praktisch. Dazu entwickeln wir live eine Real-Time Angular2 App, mit der Zuhörer während eines Vortrags – identifiziert durch einen Hash-Tag - Fragen stellen und gegenseitig upvoten können. Der Session Chair kann so am Ende eines Vortrags die bestbewertesten Fragen an den Speaker stellen.
The document discusses getting started with automation on Juniper devices using Python. It provides an overview of the Junos automation options like Ansible, Chef and Puppet before focusing on pyez, a Python library for interacting with a device's NETCONF API. It covers installing pyez and setting up a device connection, and includes examples of retrieving device facts, interface information and the routing table. It also discusses updating the device configuration and more advanced techniques like Jinja templating.
CQRS (Command Query Responsibility Segregation) is an architectural pattern that separates read and write operations into different models. This improves read performance by allowing queries to be routed to optimized data stores like fast in-memory or denormalized databases. Commands produce events that are asynchronously published to multiple recipients. Event handlers subscribe to events and perform actions like persisting state changes or updating aggregates. The read side may be eventually consistent with the write side to improve write performance without distributed transactions. Messaging systems like RabbitMQ can reliably deliver commands and events. Frameworks like NCQRS help implement the CQRS pattern for .NET applications.
Play 2.0 integrates the Akka framework to provide built-in support for concurrency. It is designed for asynchronous HTTP requests that can be long-lived using streams or sockets. Concurrency is handled through actors instead of threads for a reactive, event-based model. Play 2.0 provides APIs for asynchronous I/O, executing long tasks asynchronously using actors, and handling data streams reactively without buffering.
This document discusses various third party authentication methods that can be used with WebObjects applications, including storing hashed passwords in a database, authenticating against LDAP services, Kerberos/SSO, and gateway/web authentication solutions. It provides code examples for hashing passwords with SHA-256 before storing in a database, authenticating against an LDAP server using JNDI, and authenticating with Kerberos. It also discusses hybrid approaches that integrate database and LDAP user attributes, as well as considerations for using gateway/web authentication.
Lessons Learned from Building a Multi-Tenant Saas Content Management System o...MongoDB
The document introduces Kevin Wright and Jonathan Roeder, who both have experience with MongoDB. It then provides information about their company, which has been in business since 1999 and processes $2.8 billion annually on its ecommerce platform. It goes on to describe their multi-tenant CMS application built with .NET and MongoDB, including approaches taken for schema design, sharding implementation, and best practices.
The document discusses various algorithms used in content delivery networks (CDNs) including:
1) The Gale-Shapley algorithm for stable allocation of clients to server clusters.
2) Consistent hashing to balance load within clusters and cache popular objects on multiple servers.
3) Bloom filters for cache summarization and filtering one-hit wonders from caching.
4) Multi-commodity flow modeling for overlay routing between edge servers and origins to provide high availability and performance.
This document outlines the agenda for Season 2 Episode 2 of an event. The episode will include:
1. Lightning talks on various Reactive and Rx topics from different speakers
2. Guest speakers Jake Wharton from Square, Matt Ingenthron from Couchbase, and Will Sargent from Typesafe
3. More details on RxJava and composable reactive functions
Fighting Against Chaotically Separated Values with EmbulkSadayuki Furuhashi
We created a plugin-based data collection tool that can read any chaotically formatted files called "CSV" by guessing its schema automatically
Talked at csv,conf,v2 in Berlin
http://csvconf.com/
The document discusses asynchronous and non-blocking I/O with JRuby. It explains that asynchronous operations are better than synchronous operations because they use fewer resources and allow for parallelism. It provides an example of building a JRuby application with the Ratpack framework that makes asynchronous HTTP requests to eBay's API in a non-blocking way using promises. It also discusses using RxJava and Hystrix with Ratpack to build a book management application that handles data and API requests asynchronously.
Windows 8 apps can access data from services in several ways:
- They can call ASMX, WCF, and REST services asynchronously using HttpClient and retrieve responses.
- They can access oData services using the oData client library.
- They can retrieve RSS feeds using SyndicationClient and parse the responses.
- They can perform background transfers using BackgroundDownloader.
- They can update tiles periodically by polling a service and setting updates.
Node.js is a platform for building scalable network applications. It uses Google's V8 JavaScript engine and a non-blocking I/O model. Some key points:
- Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, especially for real-time applications.
- It has a large ecosystem of open source modules. Popular frameworks include Express and Fab.
- While Node.js is very fast for I/O operations, memory usage can grow quickly and scaling to multiple cores requires multiple processes.
- The author argues Node.js is suitable for single-page apps, real-time applications, and crawlers, but
DirectX 12 provides major performance improvements over previous versions by optimizing the entire graphics stack and distributing work more efficiently between the application, engine, driver, operating system, and GPU. It uses a multi-threaded execution model with asynchronous resource access and command buffers, and supports features like execute indirect, multi-engine/multi-adapter for scalability. Hardware support is organized into feature levels to identify supported capabilities independent of the API version. Tools are integrated to help developers optimize their games and applications for DirectX 12.
The document summarizes the development of new symbology and suggest web services using MongoDB to replace older services that had performance and scalability issues. Key points:
- The services provide financial reference data and suggestions via symbols/codes accessed millions of times daily.
- MongoDB was chosen for its document model, performance of 1ms average response time, and ability to store data fully in memory.
- The symbology service optimizes data storage to reduce space and enable fast searches through field normalization and compression.
- The suggest service uses an inverted index for partial text searches and generates suggestions from the symbology data through Amazon EMR.
- MongoDB drivers for .NET provided good performance without bottlenecks.
Docker enables you to create highly customized images that are used to execute your jobs. These images allow you to easily share complex applications between teams and even organizations
AWS Batch: Simplifying batch computing in the cloudAdrian Hornsby
Docker enables you to create highly customized images that are used to execute your jobs. These images allow you to easily share complex applications between teams and even organizations. However, sometimes you might just need to run a script! This talk walk you through the steps to create and run a simple “fetch & run” job in AWS Batch. AWS Batch executes jobs as Docker containers using Amazon ECS. You build a simple Docker image containing a helper application that can download your script or even a zip file from Amazon S3. AWS Batch then launches an instance of your container image to retrieve your script and run your job.
DISQUS is a comment system that handles high volumes of traffic, with up to 17,000 requests per second and 250 million monthly visitors. They face challenges in unpredictable spikes in traffic and ensuring high availability. Their architecture includes over 100 servers split between web servers, databases, caching, and load balancing. They employ techniques like vertical and horizontal data partitioning, atomic updates, delayed signals, consistent caching, and feature flags to scale their large Django application.
Unlock the Power of Streaming Data with Kinetica and Confluent Platformconfluent
Speakers: Mathew Hawkins, Principal Solution Engineer, Kinetica + Chong Yan, Solutions Architect, Confluent
The volume, complexity and unpredictability of streaming data is greater than ever before. Innovative organizations require instant insight from streaming data in order to make real-time business decisions. A new technology stack is emerging as traditional databases and data lakes are challenged to analyze streaming data and historical data together in real time.
Confluent Platform, a more complete distribution of Apache Kafka®, works with Kinetica’s GPU-accelerated engine to transform data on the wire, instantly ingest data and analyze it at the same time. With the Kinetica Connector, end users can ingest streaming data from sensors, mobile apps, IoT devices and social media via Kafka into Kinetica’s database to combine it with data at rest. Together, the technologies deliver event-driven and real-time data to power the speed of thought analytics, improve customer experience, deliver targeted marketing offers and increase operational efficiencies.
Register for this webinar to see:
-How Kinetica enables businesses to leverage the streaming data delivered with Confluent Platform to gain actionable insights
-How to leverage the Kafka Connect API to integrate data sources and destinations without writing cumbersome code
-A KSQL demo showcasing an end-to-end flow of the complete data pipeline from a live source, to KSQL and finally into Kinetica
Watch the recording: https://videos.confluent.io/watch/HdTKREFJzt6VcefneC4C7H?.
.NET 8 is poised to deliver significant advancements with features such as Primary Constructors for cleaner code, enhanced Garbage Collection for better memory management, and optimized JSON Serialization for efficient data handling. Performance is further bolstered by Fast Search, Dynamic Profile Guided Optimization (PGO), and Native AOT for faster runtime and startup. Time Abstraction offers refined time operations, while improved Cryptography and Compression with ZipFile support enhance security and data management. Immutable data structures are introduced with FrozenSet, and RegEx Code Generation promises more efficient pattern matching. Additionally, Redis Output Caching could enhance distributed caching mechanisms, Background Worker enhancements may improve asynchronous task execution, and Semantic Kernel suggests more intelligent code analysis capabilities. Collectively, these features aim to streamline development workflows and boost application performance in the .NET 8 framework.
The document summarizes new features in JBoss Operations Network (JBoss ON), including:
1) New chart types have been added to visualize metrics data. Storage nodes using Cassandra have also been added to improve scalability of storing large volumes of metrics data in a distributed manner.
2) Finer-grained bundle permissions allow restricting bundle creation, deployment and management based on resource groups and roles.
3) The REST API is now fully supported for both retrieving and inputting configuration data to enable out-of-band processing.
4) Upcoming versions of JBoss ON aim to reduce the agent footprint, improve support for EAP 6, and integrate with the Red Hat Access portal.
This document provides an overview and introduction to Cassandra including:
- An agenda that outlines the topics covered in the overview including architecture, data modeling differences from RDBMS, and CQL.
- Recommended resources for learning more about Cassandra including documentation, video courses, books, and articles.
- Requirements that Cassandra aims to meet for database management including scaling, uptime, performance, and cost.
- Key aspects of Cassandra including being open source, distributed, decentralized, scalable, fault tolerant, and using a flexible data model.
- Examples of large companies that use Cassandra in production including Apple, Netflix, eBay, and others handling large datasets.
Recent releases of the .NET driver have added lots of cool new features. In this webinar we will highlight some of the most important ones. We will begin by discussing serialization. We will describe how serialization is normally handled, and how you can customize the process when you need to, including some tips on migration strategies when your class definitions change. We will continue with a discussion of the new Query builder, which now includes support for typed queries. A major new feature of recent releases is support for LINQ queries. We will show you how the .NET driver supports LINQ and discuss what kinds of LINQ queries are supported. Finally, we will discuss what you need to do differently in your application when authentication is enabled at the server.
This is a summary of the sessions I attended at PASS Summit 2017. Out of the week-long conference, I put together these slides to summarize the conference and present at my company. The slides are about my favorite sessions that I found had the most value. The slides included screenshotted demos I personally developed and tested alike the speakers at the conference.
OrigoDB is an in-memory database toolkit that allows writing and data to exist in the same process. It uses write-ahead command logging and snapshots for persistence. The document discusses OrigoDB's architecture, data modeling approaches, testing strategies, hosting options, and configuration capabilities like different persistence modes and kernels. It provides examples of using OrigoDB for various applications and demonstrates its immutability and server capabilities.
Microservices, Continuous Delivery, and Elasticsearch at Capital OneNoriaki Tatsumi
This presentation focuses on the implementation of Continuous Delivery and Microservices principles in Capital One’s
cybersecurity data platform – which ingests ~6 TB of data every day, and where Elasticsearch is a core component.
This document provides an overview and introduction to Node.js. It discusses that Node.js is a platform for building scalable network applications using JavaScript and uses non-blocking I/O and event-driven architecture. It was created by Ryan Dahl in 2009 and uses Google's V8 JavaScript engine. Node.js allows building web servers, networking tools and real-time applications easily and efficiently by handling concurrent connections without threads. Some popular frameworks and modules built on Node.js are also mentioned such as Express.js, Socket.IO and over 1600 modules in the npm registry.
Azure Days 2019: Infrastructure as Code auf Azure (Jonas Wanninger & Daniel H...Trivadis
Heutzutage schreibt man nicht nur Applikationen mit Code. Dank der Cloud wird die Konfiguration von Infrastruktur wie virtuellen Maschinen oder Netzwerken in Code definiert und automatisiert ausgeliefert. Man spricht von Infrastructure as Code, kurz: IAC. Für Infrastructure as Code auf Azure gibt es viele tools wie Ansible, Puppet, Chef, etc. Zwei Lösungen stechen durch Ihren unterschiedlichen Ansatz heraus - Die Azure Resource Manager Templates (ARM) als Microsoft-native Lösung, immer auf dem neusten Stand, aber an Azure gebunden. Auf der anderen Seite Terraform von HashiCorp mit einer deskriptiven Sprache als Grundlage, dafür weniger Features im Security-Bereich. Für einen Grosskunden haben wir die beiden Technologien verglichen. Die Resultate zeigen wir in dieser Session mit Livedemos auf.
This document discusses various techniques for monitoring applications without interfering with core engineering work. It recommends using open source tools like the Wordnik profiler, Swagger, and MongoDB's oplog to provide business metrics monitoring and allow product teams to define their own metrics. The oplog can be used to access real-time data changes and power use cases like alerts, analytics, and pushing data to external systems without interrupting application code.
This document outlines an agenda for a WebObjects optimization conference on June 30 - July 2, 2012 in Montreal. The sessions will cover optimizing WebObjects applications from the browser to the database including techniques like caching, batch fetching, SQL monitoring and more. Chuck Hill from Global Village Consulting will discuss strategies for optimizing applications beyond the end-of-model including tools like ERXEnterpriseObjectCache and ERXBatchingDisplayGroup. Time will also be spent on database tuning, avoiding unnecessary relationships in models and leveraging raw rows when appropriate.
Similar to 10 minutes fun with Cloud API comparison (20)
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
2. • Our product, Nephorider, wants to provide a one
click visualization of a cloud based infrastructure.
A diagram like in computer school
• This include : Load Balancers, Instances
(including image information), Volumes, SQL DB
basic network information (e.g elastic IP)
• Now how many queries should be made to get
all this info?? We want the shortest time
Context
3.
4. Amazon AWS
• No authentification phase
• Principles: Action+XML
• Usually requests returns all information for an
category of items. The “container” contains all its
content but with no details
• Some questions requires additional calls. Disk
image, is an IP elastic
• 8 regions
6. Rackspace with Openstack
• Needs one pre-authentication (although it can
last)
• Global call may or not return all informations
needed to draw the graph (cf DB)
• Not always “descending logic” between
“containers” and content. E.g instance to volume
comes with volume info
• AFAIK no concept yet of Elastic IP (see http://
feedback.rackspace.com/forums/71021-product-feedback/
suggestions/998625-configurable-ip-addresses)
• 5 regions
7. Rackspace with Openstack
Fixed
• /v2/tokens + Authentification
• 5 Regions (volumes/details+/servers/detail+ /
instances (for DB) + /loadbalancers)
Variables
• NLoadBalancer *loadbalancers/LBID for
instances (Node keys)
• Max(NInstances*(image))
• NDB * instances/instance_id/users (for info on
users)
> 22 requests count like 30
8. Google Compute Engine
• Requires an OAuth dance for authorization, then
with limited token
• At first optimization per region is possible
through /projects/PROJECTID/regions (but
apparently not zones). Returns usage per region
{!
"metric": "CPUS",!
"limit": 24,!
"usage": 1!
},!
• Better there are aggregated calls over all regions
!!!
9. Google Compute Engine
• APIs have fields so this allow to ask for the
needed information
• Inside an API call URL to the “containee” object
is returned
• Load balancing is not named “per
se” (ForwarwindRule and TargetPool)
10. Google Compute Engine
Fixed
• /oauth2/token
On Compute Engine
• /project/PROJECT-ID/aggregated/instances/
• /project/PROJECT-ID/aggregated/disks/
• /project/PROJECT-ID/aggregated/targetPools
• /project/PROJECT-ID/aggregated/
forwardingRules
On SQL
• /project/PROJECT-ID/instances/
6 to 8 (images and IP not explored)
11. Conclusion
• Although format changes (XML versus JSON),
AWS and Rackspace are in same philosophy.
Iterate over regions.
• By itself Rackspace requires even more calls per
region
• Google Cloud Platform is more a next generation
API. This really came as a “last minute surprise”
• We want the other to catch up!!!!!