This document provides an overview of MongoDB and how to get started using it. MongoDB is an open-source document database that stores data as JSON-like documents rather than in tables. It allows for horizontal scalability and storing data as objects rather than columns. The document explains how to install MongoDB, use the MongoDB shell to do inserts and queries, and connect to MongoDB from applications using drivers like PyMongo. Examples of large companies using MongoDB are also provided.
Google Cloud Platform - Building a scalable mobile applicationLukas Masuch
In this presentation we give an overview on several services of the Google Cloud Platform and showcase an Android application utilizing these technologies. We cover technologies, such as Google App Engine, Cloud Endpoints, Cloud Storage, Cloud Datastore and Google Cloud Messaging (GCM). We will talk about pitfalls, show meaningful code examples (in Java) and provide several tips and dev tools on how to get the most out of Google’s Cloud Platform.
Redis is an open-source in-memory key-value data store that is optimized for speed. It uses various data structures like strings, lists, sets, and hashes to store data. MongoDB is a document-oriented NoSQL database where data is stored in flexible, JSON-like documents within collections, similar to tables in a relational database. Both Redis and MongoDB can be useful alternatives to SQL databases for applications that require speed, large amounts of data, or flexible schemas.
Intergalactic data speak_highload++_20131028David Fetter
The document discusses PostgreSQL's support for accessing remote data sources using SQL/MED. It describes how PostgreSQL has evolved from only supporting reads of remote data in early versions to now supporting both reads and writes in version 9.3 using various foreign data wrappers. These wrappers allow querying and manipulating data from databases like Oracle and MySQL, NoSQL sources like CouchDB and Redis, and other sources such as files, Twitter, and S3. The capabilities are expected to continue expanding in the future with full SQL/MED compliance and additional introspection features.
The document discusses PostgreSQL's support for accessing remote data sources through SQL/MED. It describes how PostgreSQL has evolved from only supporting reads of remote data in early versions to supporting writes in version 9.3 by introducing foreign data wrappers. These wrappers allow PostgreSQL to access a variety of data sources like Oracle, MySQL, NoSQL databases, and file systems. The document envisions continued improvements to introspection of remote schemas and full compliance with the SQL/MED standard.
Updating materialized views and caches using kafkaZach Cox
The document discusses using Apache Kafka to publish data changes and updates to materialized views and caches. It describes building a user information service that currently queries normalized data from multiple tables in a database. This has issues like slow response times and stale data. The document proposes using Kafka streams to read from topics containing normalized data changes. This allows building and storing materialized views locally using RocksDB for low latency access without stale data.
Building a Cloud Native Stack with EMR Spark, Alluxio, and S3Alluxio, Inc.
This document summarizes a presentation about building a cloud native stack with EMR Spark, Alluxio, and S3. It discusses using Alluxio to provide better performance than S3 by adding a caching tier and keeping data local to applications like Spark. Alluxio provides familiar file system semantics and can mount multiple data sources. The document demonstrates Alluxio's architecture and how it provides memory speed access to data. It also covers integrating Alluxio with EMR using bootstrap actions and upcoming features in Alluxio 2.0 and 2.1.
This document provides an overview of MongoDB and how to get started using it. MongoDB is an open-source document database that stores data as JSON-like documents rather than in tables. It allows for horizontal scalability and storing data as objects rather than columns. The document explains how to install MongoDB, use the MongoDB shell to do inserts and queries, and connect to MongoDB from applications using drivers like PyMongo. Examples of large companies using MongoDB are also provided.
Google Cloud Platform - Building a scalable mobile applicationLukas Masuch
In this presentation we give an overview on several services of the Google Cloud Platform and showcase an Android application utilizing these technologies. We cover technologies, such as Google App Engine, Cloud Endpoints, Cloud Storage, Cloud Datastore and Google Cloud Messaging (GCM). We will talk about pitfalls, show meaningful code examples (in Java) and provide several tips and dev tools on how to get the most out of Google’s Cloud Platform.
Redis is an open-source in-memory key-value data store that is optimized for speed. It uses various data structures like strings, lists, sets, and hashes to store data. MongoDB is a document-oriented NoSQL database where data is stored in flexible, JSON-like documents within collections, similar to tables in a relational database. Both Redis and MongoDB can be useful alternatives to SQL databases for applications that require speed, large amounts of data, or flexible schemas.
Intergalactic data speak_highload++_20131028David Fetter
The document discusses PostgreSQL's support for accessing remote data sources using SQL/MED. It describes how PostgreSQL has evolved from only supporting reads of remote data in early versions to now supporting both reads and writes in version 9.3 using various foreign data wrappers. These wrappers allow querying and manipulating data from databases like Oracle and MySQL, NoSQL sources like CouchDB and Redis, and other sources such as files, Twitter, and S3. The capabilities are expected to continue expanding in the future with full SQL/MED compliance and additional introspection features.
The document discusses PostgreSQL's support for accessing remote data sources through SQL/MED. It describes how PostgreSQL has evolved from only supporting reads of remote data in early versions to supporting writes in version 9.3 by introducing foreign data wrappers. These wrappers allow PostgreSQL to access a variety of data sources like Oracle, MySQL, NoSQL databases, and file systems. The document envisions continued improvements to introspection of remote schemas and full compliance with the SQL/MED standard.
Updating materialized views and caches using kafkaZach Cox
The document discusses using Apache Kafka to publish data changes and updates to materialized views and caches. It describes building a user information service that currently queries normalized data from multiple tables in a database. This has issues like slow response times and stale data. The document proposes using Kafka streams to read from topics containing normalized data changes. This allows building and storing materialized views locally using RocksDB for low latency access without stale data.
Building a Cloud Native Stack with EMR Spark, Alluxio, and S3Alluxio, Inc.
This document summarizes a presentation about building a cloud native stack with EMR Spark, Alluxio, and S3. It discusses using Alluxio to provide better performance than S3 by adding a caching tier and keeping data local to applications like Spark. Alluxio provides familiar file system semantics and can mount multiple data sources. The document demonstrates Alluxio's architecture and how it provides memory speed access to data. It also covers integrating Alluxio with EMR using bootstrap actions and upcoming features in Alluxio 2.0 and 2.1.
One of five presentations at Chicago's Day of Cloud mini-conference. Chris McAvoy (http://www.psclistens.com) demonstrates cloud computing with Amazon services.
MongoDb that holds data in form of documents and have dynamic schema.It provides indexing ,use sharding concept by this it provides scalable environment for sharded cluster.
Replicating application data into materialized viewsZach Cox
The document discusses replicating application data into materialized views or publishing data changes to Kafka. It notes issues with caching like staleness and network latency. It provides code examples of caching user data and checking for cache misses or stale data. Resources mentioned include the NNGroup on response times, Kafka documentation, I ♥ Logs book, RocksDB and Bottled Water.
The document discusses different NoSQL databases including Cassandra, CouchDB, MongoDB, Neo4J, and Redis. It explains some of the key concepts of NoSQL databases like being non-relational, schema-less, and emphasizing availability and partition tolerance. It provides brief overviews of the data models and architectures of different NoSQL databases and how they handle concepts like distribution, replication, and querying.
This document summarizes Fliptop's use of MongoDB for its database infrastructure. It discusses Fliptop's data volume and needs, its MongoDB architecture including sharding and replication, data schema and indexing strategies, and operational details like server configuration and monitoring. It aims to provide an overview of how Fliptop leverages MongoDB to handle its web-scale data and throughput requirements.
Federation with foreign_data_wrappers_pg_conf_eu_20131031David Fetter
The document discusses foreign data wrappers in PostgreSQL, which allow querying external data sources like Oracle, MySQL, NoSQL databases and files. It provides an overview of the history and current state of foreign data wrappers in PostgreSQL, including new commands introduced in PostgreSQL 9.3 to support writes. It also outlines potential future improvements like better schema introspection and increased SQL/MED compliance.
LAMP Stack (Reloaded) - Infrastructure as Code with Terraform & PackerJan-Christoph Küster
Talk given at Coding Leipzig Meetup (8th August, 2018).
Why infrastructure should be managed as code (IaC), a small intro to the IaC-tooling Terraform (and Packer), and a demo that shows how to use Terraform to deploy a good old LAMP Stack into the Cloud by the push of a button (https://github.com/cloudetc/lamp-stack-for-aws).
Deploying a Java Application on Azure Kubernetes Service with Cosmos DBBitnami
Bitnami was recently invited to speak at a few Azure Meetups and we took that as an opportunity to just demonstrate something cool. We love our partnership with Microsoft and are doing tons of great things together on Azure, AKS, Helm and in the Azure Marketplace. Inspired by that work we wanted to showcase a fun use case, taking a common application type (Java) and running it in a container on a cool new platform (AKS) while leveraging a massively scalable distributed database (CosmosDB).
You can view a recording of this presentation here: https://www.youtube.com/watch?v=HBPQJIBi2kU&t=1s
The document discusses how much of the code being maintained for Drupal is not actually Drupal-specific and proposes solutions to write less Drupal code by leveraging external libraries. It provides examples of non-Drupal specific functions and files that take up significant lines of code. The author suggests allowing modules to share external libraries, moving non-Drupal code out of the core, and using a tool to package modules with external libraries.
High Performance API Mashups with Node.js and ql.ioJonathan LeBlanc
This document discusses using ql.io and Node.js to create high performance mashups. It introduces ql.io as a way to reduce workload, processing, documentation and code length when working with APIs. It describes how ql.io can increase performance by handling requests, errors and reporting. It also outlines how to set up a ql.io server, define data sources, include scripts and routes, and use Mustache templates with jQuery. Examples are provided for visualizing API data using API Masher and including external API tables.
The document introduces MongoDB, an open source document database. It discusses MongoDB's document data model, flexible queries and updates, and deployment architectures. Key features highlighted include the document model, atomic operations, indexing, and replication support for scalability and high availability. Use cases mentioned include replacing relational databases for web applications, content management, and analytics.
Embulk and Machine Learning infrastructureHiroshi Toyama
This document summarizes a presentation about using Embulk for machine learning and natural language processing. The presenter introduced themselves and their company, which uses Embulk for tasks like creating machine learning data, executing machine learning on the cloud, and natural language processing. They have developed several Embulk plugins for tasks like morphological analysis, Unicode normalization, and integrating with APIs from Amazon Machine Learning, Google Vision, and other cloud services. They discussed use cases for various machine learning and NLP tasks as well as limitations and capabilities of different cloud APIs.
Slides for the lightning talk "A practical 10m intro to PHP on Heroku"
See the version with animated gif at http://yet.another.linux-nerd.com/blog/a-10-minutes-intro-to-heroku-php-hosting
This document introduces CouchDB, an open-source document-oriented NoSQL database that uses a RESTful API. It is schema-less and stores data in JSON format. Documents can be queried using user-defined JavaScript map/reduce functions. CouchDB supports multi-master replication and MVCC concurrency control. Examples are provided on installing CouchDB, creating databases and documents via REST calls, updating documents, and creating views. Major companies that use CouchDB are also listed.
This document discusses Elasticsearch, an open source, distributed, RESTful search and analytics engine. It introduces Elasticsearch technology and explains how it works, who created it, who uses it, and why. It then covers how to install Elasticsearch, how indexing and searching are distributed across nodes, and some key APIs. Finally, it discusses full text search implementation and provides video and demo resources for learning more.
Presentation in video is here: https://youtu.be/7YHKwwTr-9I
Scalability is an important part when architecting a web app. There are multiple options on how to scale the web app tier and the database tier. Those options will be explained with examples from services from Microsoft Azure. If you are beginner and want to understand the fundamentals of scalability and resiliency, then this presentation is for you.
Presented technologies and concepts: Scale Up, Scale Out, Microservices, VM, Load Balancer, CDN,
RedisCache, API Management, Queues, Sharding, DDD, NoSql
Understanding and tuning WiredTiger, the new high performance database engine...Ontico
MongoDB 3.0 introduced the concept of different storage engine. The new engine known as WiredTiger introduces document level MVCC locking, compression and a choice between Btree or LSM indexes. In this talk you will learn about the storage engine architecture and specifically WiredTiger, and how to tune and monitor it for best performance.
MongoDB 3.0 представил новый концепт движков хранения. Новый движок известен как WiredTiger и предоставляет новый уровень документов MVCC фикс, компрессию и выбор между Btree или индексами LSM. В этом докладе вы поймете, как тюнить и мониторить архитектуры движка базы данных, а точнее WiredTiger для получения максимальной производительности.
What is Modern Development? It is developing cross platform with cloud services. Learn how you can with tools from Microsoft. Learn about Open Source capabilities as well as Visual Studio Code. See how the Microsoft Cloud can power all your modern development apps.
User and License Management on SharePoint OnlineTerrence Nguyen
This document summarizes a presentation on user management in SharePoint Online. It begins with introductions and then outlines the agenda which includes understanding Office 365 licenses, examining a case study, and reviewing the proposed solution and tools. The case study involves automating the user registration and account creation process in Office 365 based on a registration form submission. This includes notifying admins and users via email. The challenges are that account creation and license assignment are not natively automated in Office 365. The proposed solution utilizes Windows PowerShell modules, SPServices, PeopleManager Services, and JSOM APIs to build the automated process.
One of five presentations at Chicago's Day of Cloud mini-conference. Chris McAvoy (http://www.psclistens.com) demonstrates cloud computing with Amazon services.
MongoDb that holds data in form of documents and have dynamic schema.It provides indexing ,use sharding concept by this it provides scalable environment for sharded cluster.
Replicating application data into materialized viewsZach Cox
The document discusses replicating application data into materialized views or publishing data changes to Kafka. It notes issues with caching like staleness and network latency. It provides code examples of caching user data and checking for cache misses or stale data. Resources mentioned include the NNGroup on response times, Kafka documentation, I ♥ Logs book, RocksDB and Bottled Water.
The document discusses different NoSQL databases including Cassandra, CouchDB, MongoDB, Neo4J, and Redis. It explains some of the key concepts of NoSQL databases like being non-relational, schema-less, and emphasizing availability and partition tolerance. It provides brief overviews of the data models and architectures of different NoSQL databases and how they handle concepts like distribution, replication, and querying.
This document summarizes Fliptop's use of MongoDB for its database infrastructure. It discusses Fliptop's data volume and needs, its MongoDB architecture including sharding and replication, data schema and indexing strategies, and operational details like server configuration and monitoring. It aims to provide an overview of how Fliptop leverages MongoDB to handle its web-scale data and throughput requirements.
Federation with foreign_data_wrappers_pg_conf_eu_20131031David Fetter
The document discusses foreign data wrappers in PostgreSQL, which allow querying external data sources like Oracle, MySQL, NoSQL databases and files. It provides an overview of the history and current state of foreign data wrappers in PostgreSQL, including new commands introduced in PostgreSQL 9.3 to support writes. It also outlines potential future improvements like better schema introspection and increased SQL/MED compliance.
LAMP Stack (Reloaded) - Infrastructure as Code with Terraform & PackerJan-Christoph Küster
Talk given at Coding Leipzig Meetup (8th August, 2018).
Why infrastructure should be managed as code (IaC), a small intro to the IaC-tooling Terraform (and Packer), and a demo that shows how to use Terraform to deploy a good old LAMP Stack into the Cloud by the push of a button (https://github.com/cloudetc/lamp-stack-for-aws).
Deploying a Java Application on Azure Kubernetes Service with Cosmos DBBitnami
Bitnami was recently invited to speak at a few Azure Meetups and we took that as an opportunity to just demonstrate something cool. We love our partnership with Microsoft and are doing tons of great things together on Azure, AKS, Helm and in the Azure Marketplace. Inspired by that work we wanted to showcase a fun use case, taking a common application type (Java) and running it in a container on a cool new platform (AKS) while leveraging a massively scalable distributed database (CosmosDB).
You can view a recording of this presentation here: https://www.youtube.com/watch?v=HBPQJIBi2kU&t=1s
The document discusses how much of the code being maintained for Drupal is not actually Drupal-specific and proposes solutions to write less Drupal code by leveraging external libraries. It provides examples of non-Drupal specific functions and files that take up significant lines of code. The author suggests allowing modules to share external libraries, moving non-Drupal code out of the core, and using a tool to package modules with external libraries.
High Performance API Mashups with Node.js and ql.ioJonathan LeBlanc
This document discusses using ql.io and Node.js to create high performance mashups. It introduces ql.io as a way to reduce workload, processing, documentation and code length when working with APIs. It describes how ql.io can increase performance by handling requests, errors and reporting. It also outlines how to set up a ql.io server, define data sources, include scripts and routes, and use Mustache templates with jQuery. Examples are provided for visualizing API data using API Masher and including external API tables.
The document introduces MongoDB, an open source document database. It discusses MongoDB's document data model, flexible queries and updates, and deployment architectures. Key features highlighted include the document model, atomic operations, indexing, and replication support for scalability and high availability. Use cases mentioned include replacing relational databases for web applications, content management, and analytics.
Embulk and Machine Learning infrastructureHiroshi Toyama
This document summarizes a presentation about using Embulk for machine learning and natural language processing. The presenter introduced themselves and their company, which uses Embulk for tasks like creating machine learning data, executing machine learning on the cloud, and natural language processing. They have developed several Embulk plugins for tasks like morphological analysis, Unicode normalization, and integrating with APIs from Amazon Machine Learning, Google Vision, and other cloud services. They discussed use cases for various machine learning and NLP tasks as well as limitations and capabilities of different cloud APIs.
Slides for the lightning talk "A practical 10m intro to PHP on Heroku"
See the version with animated gif at http://yet.another.linux-nerd.com/blog/a-10-minutes-intro-to-heroku-php-hosting
This document introduces CouchDB, an open-source document-oriented NoSQL database that uses a RESTful API. It is schema-less and stores data in JSON format. Documents can be queried using user-defined JavaScript map/reduce functions. CouchDB supports multi-master replication and MVCC concurrency control. Examples are provided on installing CouchDB, creating databases and documents via REST calls, updating documents, and creating views. Major companies that use CouchDB are also listed.
This document discusses Elasticsearch, an open source, distributed, RESTful search and analytics engine. It introduces Elasticsearch technology and explains how it works, who created it, who uses it, and why. It then covers how to install Elasticsearch, how indexing and searching are distributed across nodes, and some key APIs. Finally, it discusses full text search implementation and provides video and demo resources for learning more.
Presentation in video is here: https://youtu.be/7YHKwwTr-9I
Scalability is an important part when architecting a web app. There are multiple options on how to scale the web app tier and the database tier. Those options will be explained with examples from services from Microsoft Azure. If you are beginner and want to understand the fundamentals of scalability and resiliency, then this presentation is for you.
Presented technologies and concepts: Scale Up, Scale Out, Microservices, VM, Load Balancer, CDN,
RedisCache, API Management, Queues, Sharding, DDD, NoSql
Understanding and tuning WiredTiger, the new high performance database engine...Ontico
MongoDB 3.0 introduced the concept of different storage engine. The new engine known as WiredTiger introduces document level MVCC locking, compression and a choice between Btree or LSM indexes. In this talk you will learn about the storage engine architecture and specifically WiredTiger, and how to tune and monitor it for best performance.
MongoDB 3.0 представил новый концепт движков хранения. Новый движок известен как WiredTiger и предоставляет новый уровень документов MVCC фикс, компрессию и выбор между Btree или индексами LSM. В этом докладе вы поймете, как тюнить и мониторить архитектуры движка базы данных, а точнее WiredTiger для получения максимальной производительности.
What is Modern Development? It is developing cross platform with cloud services. Learn how you can with tools from Microsoft. Learn about Open Source capabilities as well as Visual Studio Code. See how the Microsoft Cloud can power all your modern development apps.
User and License Management on SharePoint OnlineTerrence Nguyen
This document summarizes a presentation on user management in SharePoint Online. It begins with introductions and then outlines the agenda which includes understanding Office 365 licenses, examining a case study, and reviewing the proposed solution and tools. The case study involves automating the user registration and account creation process in Office 365 based on a registration form submission. This includes notifying admins and users via email. The challenges are that account creation and license assignment are not natively automated in Office 365. The proposed solution utilizes Windows PowerShell modules, SPServices, PeopleManager Services, and JSOM APIs to build the automated process.
In this slide, I will go throught below agenda
Overview About Azure
Azure Virtual Machine
SharePoint Hosting with Azure
Azure Website
Azure SQL Database
Azure for IOT
Azure with Business Intelligent
Conclusion
Get set.. Introduction to Windows Azure DevelopmentThomas Robbins
Got Visual Studio? Your almost there! In this session we will look at how to prepare your development environment for Windows Azure. This includes required components and setting up your Microsoft Windows Azure account. Don’t miss this session to learn how to build a killer “Hello World!” application.
Speaker: Brian McKeiver, Kentico MVP and Partner/Senior Developer at BizStream
Teams need to move fast, every action which results in wait time must be minimized to zero. Teams need to move flexible, context changes must be easy adoptable by the team and the system they realize. Using Azure for their Environment and ALM needs helps them fulfill this need.
Windows Azure - Cloud Service Development Best PracticesSriram Krishnan
This document discusses best practices for developing cloud services on Windows Azure. It recommends:
1. Storing state in Windows Azure storage and using loose coupling between components through queues to improve reliability given unreliable networks and hardware failures.
2. Versioning schemas and using rolling upgrades to minimize downtime when deploying updates.
3. Separating code and configuration, using configurable logging and alerts, to aid in debugging when things go wrong in the cloud.
The document profiles Nemanja Kostic, a Serbian solution architect with over 20 years of experience designing and implementing commercial software solutions. It highlights his expertise in AWS cloud architectures, serverless services, microservices, and Domain Driven Design. The document also provides an overview of Java development resources on AWS, including services for running, developing, and integrating Java applications with AWS. It demonstrates examples like AWS Elastic Beanstalk, AWS Lambda, AWS CDK, and Amazon CodeGuru.
Azure templates can be used to deploy and manage Azure resources in a declarative and repeatable way. They define the resources to deploy, including virtual machines, databases, and networking components, as well as the relationships between resources. Azure templates allow for idempotent deployments, simplified orchestration of rollbacks and upgrades, and cross-resource configuration and updates. They are stored as JSON or ARM template files in source control and can be deployed via the Azure CLI, PowerShell, or REST APIs. A wide range of community-created quickstart templates are available on GitHub for common workload deployments.
Samedi SQL Québec - La plateforme data de AzureMSDEVMTL
6 juin 2015
Samedi SQL à Québec
Session 3 - Data (SQL Azure, Table et Blob Storage) (Eric Moreau)
SQL Azure est une base de données relationnelle en tant que service, Azure Storage permet de stocker et d'extraire de gros volumes de données non structurées (par exemple, des documents et fichiers multimédias) avec les objets blob Azure ; de données NoSql structurées avec les tables Azure ; de messages fiables avec les files d'attente Azure.
Building Cloud-Native Applications with Microsoft Windows AzureBill Wilder
Cloud computing is here to stay, and it is never too soon to begin understanding the impact it will have on application architecture. In this talk we will discuss the two most significant architectural mind-shifts, discussing the key patterns changes generally and seeing how these new cloud patterns map naturally into specific programming practices in Windows Azure. Specifically this relates to (a) Azure Roles and Queues and how to combine them using cloud-friendly design
patterns, and (b) the combination of relational data and non-relational data, how to decide among them, and how to combine them. The goal is for mere mortals to build highly reliable applications that scale economically. The concepts discussed in this talk are relevant for developers and architects building systems for the cloud today, or who want to be prepared to move to the cloud in the future.
This talk was delivered by Bill Wilder at the Vermont Code Camp 2 on 11-Sept-2010.
This document provides an introduction to network infrastructure concepts, database concepts, and web application development using cloud services. It begins with an overview of Amazon Web Services (AWS) including Amazon EC2, S3, SimpleDB, Elastic Block Store, Glacier, Elastic Beanstalk, ElastiCache, IAM, Route 53, Elastic Load Balancing, CloudFormation, CloudWatch, DynamoDB, RDS, SQS, and Redshift. It then covers virtual private clouds and various VPC configurations including public/private subnets, hardware VPN access, private subnets with VPN access, and disaster recovery. It discusses the use of Chef, Puppet, Git, GitHub, JSON, and CloudFormation templates for infrastructure automation
Join us for a deep dive into Windows Azure. We’ll start with a developer-focused overview of this brave new platform and the cloud computing services that can be used either together or independently to build amazing applications. As the day unfolds, we’ll explore data storage, SQL Azure™, and the basics of deployment with Windows Azure. Register today for these free, live sessions in your local area.
Data is as critical as ever. Storage costs are lower but we have more and more data to store. This is where Microsoft Azure Data Storage solutions come in. This slide deck provides an overview of the most important data storage options available in Azure.
Note: I did not create this deck. I instead combined slides from the Microsoft Azure-Readiness/DevCamp repo on GitHub (https://github.com/Azure-Readiness/DevCamp) while adding additional material from a slide deck of David Chappell's.
This talk was given at Cloud Camp Kitchener 2015.
While working together with Microsoft on the Windows Azure SDK for PHP, we found that we needed an popular example application hosted on Microsoft’s Windows Azure. Wordpress was an obvious choice, but not an obvious task. Learn more about Windows Azure, the PHP SDK that we developed, SQL Azure and about the problems we faced porting an existing PHP application to Windows Azure.
This document provides an agenda and overview of a Windows Azure camp discussing different components of the Windows Azure platform. The agenda includes introductions to cloud computing, Windows Azure, Azure storage services, SQL Azure, developing applications on Azure, and Windows Azure AppFabric. Key components discussed are Azure storage including blobs, tables, queues, SQL Azure, web and worker roles, and how AppFabric provides access control and integration via a service bus. Demos are included on hosting applications on Azure and using various Azure services.
Building data pipelines for modern data warehouse with Apache® Spark™ and .NE...Michael Rys
This presentation shows how you can build solutions that follow the modern data warehouse architecture and introduces the .NET for Apache Spark support (https://dot.net/spark, https://github.com/dotnet/spark)
Amazon Web Services (AWS) gives you the flexibility to provision Dev & Test resources in the cloud on demand, with a low-cost, pay-as-you-consume model. This Hebrew webinar helps you to get started with Dev & Test on AWS.
Continuous Integration and Deployment Best Practices on AWS (ARC307) | AWS re...Amazon Web Services
With AWS, companies now have the ability to develop and run their applications with speed and flexibility like never before. Working with an infrastructure that can be 100 percent API driven enables businesses to use lean methodologies and realize these benefits. This in turn leads to greater success for those who make use of these practices. In this session, we talk about some key concepts and design patterns for continuous deployment and continuous integration, two elements of lean development of applications and infrastructures.
This document provides an overview of continuous integration and deployment best practices on AWS. It discusses what continuous integration is and how it helps with rapid development by making changes and deployments iterative rather than monolithic. This allows bugs to be detected quickly. The document then discusses tools that can be used to implement continuous integration, such as AWS services, configuration management systems like Puppet, deployment frameworks like AWS Elastic Beanstalk, and infrastructure management tools like AWS CloudFormation. It also provides tips for scaling tools like Puppet masters and optimizing continuous integration and deployment workflows.
Understand how to architect an infrastructure to handle going from zero to millions of users. From leveraging highly scalable AWS services to making smart decisions on building out your application, you'll learn a number of best practices for scaling your infrastructure in the cloud.
Big Data Analytics from Azure Cloud to Power BI MobileRoy Kim
This document discusses using Azure services for big data analytics and data insights. It provides an overview of Azure services like Azure Batch, Azure Data Lake, Azure HDInsight and Power BI. It then describes a demo solution that uses these Azure services to analyze job posting data, including collecting data using a .NET application, storing in Azure Data Lake Store, processing with Azure Data Lake Analytics and Azure HDInsight, and visualizing results in Power BI. The presentation includes architecture diagrams and discusses implementation details.
Design Considerations For Storing With Windows AzureEric Nelson
This document provides an overview and lessons learned from using different data storage options in Windows Azure, including Blobs, Tables, SQL Azure, and Queues. It discusses how each one works, best practices for using them, and how they compare to each other. Key takeaways include that Tables are not a relational database, picking the right partition key is important for performance, and SQL Azure has some limitations compared to on-premises SQL Server. The presenter provides a demonstration of the storage features in Windows Azure and encourages understanding how they are different from traditional on-premises options.
O serviço Elastic Beanstalk da AWS permite que voce automatize o lançamento de aplicativos e sites inteiros na nuvem da AWS. Nesta apresentação, feita durante o AWS Summit 2015, mostramos como usá-lo.
Amazon Web Services (AWS) gives you the flexibility to provision Dev & Test resources in the cloud on demand, with a low-cost, pay-as-you-consume model. This Hebrew webinar helps you to get started with Dev & Test on AWS.
This document discusses using the Shade library to simplify working with OpenStack. It begins with an introduction to OpenStack and its architecture. It then demonstrates how to quickly get started with Shade by connecting to clouds and listing servers. The document shows how to access OpenStack resources as objects and dictionaries, and generate reports with Pandas. It also discusses implementing Ansible modules with Shade to provision and manage projects across multiple OpenStack clouds. The document encourages contributing to Shade by implementing missing methods and writing functional tests.
Presented at DevIntersection / AngleBrackets 2014. I showed how to set up, develop and run NoSQL solutions for the cloud on Windows and Linux using Windows Azure. Also show you how to build multi-tier applications in the cloud that access NoSQL data. This session included an introduction to our Platform-as-a-Service offerings for MongoDB and CouchDB, as well as prepackaged Linux VMs that run Cassandra, Riak, Redis and other NoSQL data stores with a few clicks. We’ll also introduce you to the Developer Centers for Windows Azure, the Azure SDKs, our selection of plugins for popular open source developer tools, DevOps services, and other tools and materials we’ve developed to make life easier for application developers.
Similar to Schema-free Microsoft Azure development (20)
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
4. SCHEMA-FREE ADVANTAGES
Boost developer performance:
No need for database schema defintions.
No need for Object-relational mappings (ORMs).
No need for manual entity definitions in code.
C# code available from http://ingehenriksen.wordpress.com
5. THE OPTIMAL SOLUTION
Create tables on the fly.
Create table rows on the fly.
Create entity properties on the fly.
Support all data types.
…Solved using Dynamic Typing.
C# code available from http://ingehenriksen.wordpress.com
6. IMPLEMENTING DYNAMIC TYPING
Inherit DynStorage from
System.Dynamic.DynamicObject.
Implement TryGetMember().
Create a table object by table name.
C# code available from http://ingehenriksen.wordpress.com
7. IMPLEMENTING DYNAMIC TYPING
Inherit DynTable from
System.Dynamic.DynamicObject.
Implement TryGetMember().
Create an entity object by partition key
(primary key) and rowkey.
C# code available from http://ingehenriksen.wordpress.com
8. IMPLEMENTING DYNAMIC TYPING
Inherit DynTableEntity from System.Dynamic.DynamicObject, ITableEntity, and
Idictionary<string, EntityProperty>.
Implement TryGetMember().
Fetch entity property from dictionary.
Implement Save() method.
C# code available from http://ingehenriksen.wordpress.com
9. IMPLEMENTING DYNAMIC TYPING
Implement dictionary EntityProperty().
Write TableQuery() using partitionkey and
rowkey.
Implement TryGetMember().
Create an entity object by partition key
(primary key) and rowkey.
C# code available from http://ingehenriksen.wordpress.com
10. THANK YOU FOR YOUR TIME!
Get started at
http://azure.microsoft.com/en-us/downloads/
Inge Henriksen
http://ingehenriksen.wordpress.com