LatJUG. Google App Engine
•Download as PPT, PDF•
0 likes•527 views
The document summarizes an author's first experience using Google AppEngine, a platform that allows developers to build and host web applications on Google's infrastructure without having to maintain servers. The author discusses how AppEngine provides a scalable hosting environment but has limitations like blacklisting of certain technologies, per-account application limits, and constraints on data storage and querying. The author also explores services provided by AppEngine and notes that while much is free, usage beyond quotas requires payment.
Report
Share
Report
Share
Recommended
Using server logs to your advantage
My presentation from Optimise Oxford in November 2016.
In it I discuss why you should be making use of server logs, and how to go about utilising them.
Log File Analysis: The most powerful tool in your SEO toolkit
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Server Logs: After Excel Fails
Brighton SEO April 2016 talk on server log file analysis using command line tools to deal with files too large for Excel.
I’ve outgrown my basic stack. Now what?
The document discusses growing out of a basic stack built on PostgreSQL and Django. As the user's app gains popularity and data grows, performance starts to slow down. The document considers options for scaling PostgreSQL including caching, connection pooling, partitioning and replication. It also explores various NoSQL database options like Redis, MongoDB, HBase, CouchDB, Riak, Cassandra and Hadoop for handling larger datasets and higher volumes. The key aspects to consider in choosing a solution are consistency needs, query requirements, data complexity, growth rate and data retention needs. The best system depends on the specific use case.
Web Scraping Basics
Web scraping is mostly about parsing and normalization. This presentation introduces people to harvesting methods and tools as well as handy utilities for extracting and normalizing data
Prometheus lightning talk (Devops Dublin March 2015)
This document introduces Prometheus, an open-source monitoring system that allows instrumentation of everything including RPCs, interfaces, business logic, and logs. It provides client libraries that make instrumentation easy across many languages. The Prometheus server can handle over a million time series in one instance with no dependencies. It offers dashboards, expression queries, alerts and integrates with many systems. Time series have structured labels allowing flexible aggregation and complex math for rules and alerts. Prometheus costs less than $.001 per time series per month and is developed by SoundCloud, Boxever and Docker with an active community.
Time to Migrate to HTTPS – The Simple Way to Do It Right, And the Ways That t...
Time to Migrate to HTTPS – The Simple Way to Do It Right, And the Ways That t...Click Consult (Part of Ceuta Group)
From Click Consult's Benchmark Search Conference 2017, The Bridgewater Hall, 21st September. Presented by Gerry White, Just Eat.HyperBatch - Snowforce 2017
HyperBatch is a library that provides a faster alternative to the traditional Apex Database.Batchable interface in Salesforce. It was tested on three batch jobs - CreateContactsBatch, UpdateContactsBatch, and DeleteContactsBatch - involving 121k accounts and 363k contacts. Using HyperBatch, all three jobs completed in just 6 minutes, compared to 88 minutes using the traditional interface, resulting in a speed increase of over 80 minutes or 93%. HyperBatch achieves this speed by leveraging asynchronous processing, parallel execution of batch jobs, and automatic retry of transactions that encounter row locks.
Recommended
Using server logs to your advantage
My presentation from Optimise Oxford in November 2016.
In it I discuss why you should be making use of server logs, and how to go about utilising them.
Log File Analysis: The most powerful tool in your SEO toolkit
Slide deck from Tom Bennet's presentation at Brighton SEO, September 2014. Accompanying guide can be found here: http://builtvisible.com/log-file-analysis/
Image Credits:
https://www.flickr.com/photos/nullvalue/4188517246
https://www.flickr.com/photos/small_realm/11189803763/
https://www.flickr.com/photos/florianric/7263382550
http://fotojenix.wordpress.com/2011/07/08/weekly-photo-challenge-old-fashioned/
Server Logs: After Excel Fails
Brighton SEO April 2016 talk on server log file analysis using command line tools to deal with files too large for Excel.
I’ve outgrown my basic stack. Now what?
The document discusses growing out of a basic stack built on PostgreSQL and Django. As the user's app gains popularity and data grows, performance starts to slow down. The document considers options for scaling PostgreSQL including caching, connection pooling, partitioning and replication. It also explores various NoSQL database options like Redis, MongoDB, HBase, CouchDB, Riak, Cassandra and Hadoop for handling larger datasets and higher volumes. The key aspects to consider in choosing a solution are consistency needs, query requirements, data complexity, growth rate and data retention needs. The best system depends on the specific use case.
Web Scraping Basics
Web scraping is mostly about parsing and normalization. This presentation introduces people to harvesting methods and tools as well as handy utilities for extracting and normalizing data
Prometheus lightning talk (Devops Dublin March 2015)
This document introduces Prometheus, an open-source monitoring system that allows instrumentation of everything including RPCs, interfaces, business logic, and logs. It provides client libraries that make instrumentation easy across many languages. The Prometheus server can handle over a million time series in one instance with no dependencies. It offers dashboards, expression queries, alerts and integrates with many systems. Time series have structured labels allowing flexible aggregation and complex math for rules and alerts. Prometheus costs less than $.001 per time series per month and is developed by SoundCloud, Boxever and Docker with an active community.
Time to Migrate to HTTPS – The Simple Way to Do It Right, And the Ways That t...
Time to Migrate to HTTPS – The Simple Way to Do It Right, And the Ways That t...Click Consult (Part of Ceuta Group)
From Click Consult's Benchmark Search Conference 2017, The Bridgewater Hall, 21st September. Presented by Gerry White, Just Eat.HyperBatch - Snowforce 2017
HyperBatch is a library that provides a faster alternative to the traditional Apex Database.Batchable interface in Salesforce. It was tested on three batch jobs - CreateContactsBatch, UpdateContactsBatch, and DeleteContactsBatch - involving 121k accounts and 363k contacts. Using HyperBatch, all three jobs completed in just 6 minutes, compared to 88 minutes using the traditional interface, resulting in a speed increase of over 80 minutes or 93%. HyperBatch achieves this speed by leveraging asynchronous processing, parallel execution of batch jobs, and automatic retry of transactions that encounter row locks.
Salesforce Apex Hours :- Hyper batch
#SalesforceApexHours #FarmingtonHillsSFDCDug
Agenda :-
• Whats is HyperBatch
• Difference between Old Traditional Apex Batch job and HyperBatch
• Demo
• FAQ
Hyperbatch (LoteRapido) - Punta Dreamin' 2017
A Hyper-Fast Batchable Interface for Salesforce Presented in Punta del Este, Uruguay for Punta Dreamin' 2017
Forcelandia 2016 PK Chunking
This document discusses a technique called PK chunking that can be used to efficiently query and retrieve data from very large Salesforce objects with millions of records. PK chunking works by dividing the object into parallel "chunks" using the primary key (PK) IDs, then querying each chunk separately to avoid timeouts and selective query errors. The document explains two implementations of PK chunking - Query Locator PK Chunking (QLPK) which uses the Salesforce query locator to define ID ranges, and Base62PK Chunking which extrapolates ID ranges from the first and last IDs. It provides examples of how to implement PK chunking using JavaScript remoting actions to query the chunks in parallel on the client.
HyperBatch
HyperBatch is a new interface that allows batch jobs in Salesforce to run much faster by processing jobs in parallel instead of serially. Using HyperBatch, three example batch jobs that previously took a total of 88 minutes to complete were able to finish in just 4 minutes, an over 90% reduction. HyperBatch leverages browser orchestration, parallel remote actions, and JavaScript polling to chunk batch jobs into parallel executions that can complete over 20 times faster than the traditional Apex Database.Batchable interface.
Inner core of Ajax
Ajax allows for asynchronous JavaScript and XML HTTP requests to be performed in the background to update parts of a web page without reloading the entire page. It uses the XMLHttpRequest object to send and receive data from a web server in the background. This allows for faster and more interactive web applications. Popular websites like Gmail, Facebook, and Google Maps use Ajax to asynchronously update parts of the page for a more seamless user experience.
Web Scraping With Python
This document discusses web scraping using Python. It provides an overview of scraping tools and techniques, including checking terms of service, using libraries like BeautifulSoup and Scrapy, dealing with anti-scraping measures, and exporting data. General steps for scraping are outlined, and specific examples are provided for scraping a website using a browser extension and scraping LinkedIn company pages using Python.
Introduction about-ajax-framework
Ajax [Asunchronous HTTP request ] - A Deep Introduction About Ajax Technology - Lets Take a Glance About Ajax ,Where it's use | Whats the purpose of Ajax in Web Application Developement . Bacis of Ajax Technology + Coding Tips ..
Web Scraping and Data Extraction Service
Learn more about Web Scraping and data extraction services. We have covered various points about scraping, extraction and converting un-structured data to structured format. For more info visit http://promptcloud.com/
Investigating server logs
This document discusses server log forensics. It begins by defining logs as files that list actions that have occurred on servers. It then discusses who creates logs, including operating systems, software, and specific locations logs are stored on Windows and Linux systems. Basic terminology is introduced, including definitions of servers, web servers, and FTP. It describes server logs as files automatically created by servers to record activities. It discusses classifying servers and analyzing web server, FTP server, and other logs to uncover forensic evidence about users' activities and attempts like SQL injection.
OK Google, Whats next? - OMT Wiesbaden 2018
My talk from Online Marketing Tag (OMT) Wiesbaden 2018 covering the ever-changing landscape of search and some of the stuff that I think will have a significant impact on SEO in the very near future!
Web scraping with BeautifulSoup, LXML, RegEx and Scrapy
Web Scraping Introduction. It will cover cover all the most available libraries and the way they can be handled to scrape our required data. Created by Littin Rajan
Jinchao demo
This document describes a real-time Twitter search engine that allows for complex queries. It collects tweets using Logstash and stores them in Elasticsearch. Users can register search queries using Elasticsearch's percolator, which will match incoming tweets and update users in real time using Redis pub/sub. Challenges included ingesting data from Kafka to Elasticsearch, implementing the percolator, and updating the frontend in real time from the Flask server.
Migration Best Practices - SEOkomm 2018
My talk from SEOkomm 2018 in Salzburg covering best practices on how to successfully naviate through the various types of migrations (protocal migrations, frontend migrations, etc.) from an SEO perspective - mainly focussing on all things tech.
Google history nd architecture
Google is the most popular search engine in the world. It was founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University. Google's main aim is to organize the world's information and make it universally accessible and useful. The company gets its name from the term "googol", which refers to the large quantities of information Google aims to provide. Google uses web crawlers to retrieve web pages from across the internet and stores them in a repository. It then indexes the pages to build search indexes like word occurrence lists. These indexes are used by the searcher to return relevant results in response to user queries. Google's PageRank algorithm assigns importance values to web pages based on the page's
Getting started with Web Scraping in Python
All the necessary tricks, libraries, tools that a beginner should know to successfully scrape any site with python. Instead of covering on code I'm focusing more on developing an intuition in the reader so that he can decide intuitively what path to take.
Scraping data from the web and documents
This document discusses web scraping and data extraction. It defines scraping as converting unstructured data like HTML or PDFs into machine-readable formats by separating data from formatting. Scraping legality depends on the purpose and terms of service - most public data is copyrighted but fair use may apply. The document outlines the anatomy of a scraper including loading documents, parsing, extracting data, and transforming it. It also reviews several scraping tools and libraries for different programming languages.
Introduction to Web Scraping using Python and Beautiful Soup
These are the slides on the topic Introduction to Web Scraping using the Python 3 programming language. Topics covered are-
What is Web Scraping?
Need of Web Scraping
Real Life used cases .
Workflow and Libraries used.
Local hack day
Kaushal Parikh gave an introductory presentation on web development with Python and Flask. He began by introducing himself and gave an overview of key concepts like HTTP, REST, and how requests and responses work in a web application. He explained how a user makes a request that is received by the application server, which then generates and sends a response. He also discussed HTTP middleware, different types of responses and status codes. Finally, he provided an example Flask application and helpful resources for learning more.
MetaSearch vs Harvesting and Indexing
https://doi.org/10.6084/m9.figshare.11854920.v1
A comparison between metasearch/federated search and harvesting & indexing in libraries.
Webinar: MongoDB Connector for Spark
Learn how to build new classes of sophisticated, real-time analytics by combining Apache Spark, the industry's leading data processing engine, with MongoDB, the industry’s fastest growing database.
We live in a world of “big data.” But it isn’t just the data itself that is valuable – it’s the insight it can generate. How quickly an organization can unlock and act on that insight has become a major source of competitive advantage. Collecting data in operational systems and then relying on nightly batch extract, transform, load (ETL) processes to update the enterprise data warehouse (EDW) is no longer sufficient.
In this live session, we show you how MongoDB and Spark work together and provide examples using the new Spark Connector for MongoDB.
This session was sponsored by Stratio & Paradigma.
Freebase Lightning Tech Talk
Freebase is a sometimes described as a Wikipedia that allows users to define relationships between items on the web. Tim Dennis presents this collaborative knowledge base and explains how it exposes content through multiple APIs that library coders or patrons can access and reuse.
Trains of brazil
The document provides information about various train tours available in Brazil. It describes 6 different train routes:
1) The Vitória-Minas train that runs between Belo Horizonte and Vitória, taking 13 hours to cover 664 km.
2) The Capixaba's Mountains Train that runs on weekends between the towns of Viana, Domingos Martins, Marechal Floriano and Araguaya in Espírito Santo state.
3) The Corcovado Train in Rio de Janeiro that takes visitors to view the Christ the Redeemer statue.
4) The Paraná's Mountain Range Train and Luxury Train between Curitiba and Morretes
More Related Content
What's hot
Salesforce Apex Hours :- Hyper batch
#SalesforceApexHours #FarmingtonHillsSFDCDug
Agenda :-
• Whats is HyperBatch
• Difference between Old Traditional Apex Batch job and HyperBatch
• Demo
• FAQ
Hyperbatch (LoteRapido) - Punta Dreamin' 2017
A Hyper-Fast Batchable Interface for Salesforce Presented in Punta del Este, Uruguay for Punta Dreamin' 2017
Forcelandia 2016 PK Chunking
This document discusses a technique called PK chunking that can be used to efficiently query and retrieve data from very large Salesforce objects with millions of records. PK chunking works by dividing the object into parallel "chunks" using the primary key (PK) IDs, then querying each chunk separately to avoid timeouts and selective query errors. The document explains two implementations of PK chunking - Query Locator PK Chunking (QLPK) which uses the Salesforce query locator to define ID ranges, and Base62PK Chunking which extrapolates ID ranges from the first and last IDs. It provides examples of how to implement PK chunking using JavaScript remoting actions to query the chunks in parallel on the client.
HyperBatch
HyperBatch is a new interface that allows batch jobs in Salesforce to run much faster by processing jobs in parallel instead of serially. Using HyperBatch, three example batch jobs that previously took a total of 88 minutes to complete were able to finish in just 4 minutes, an over 90% reduction. HyperBatch leverages browser orchestration, parallel remote actions, and JavaScript polling to chunk batch jobs into parallel executions that can complete over 20 times faster than the traditional Apex Database.Batchable interface.
Inner core of Ajax
Ajax allows for asynchronous JavaScript and XML HTTP requests to be performed in the background to update parts of a web page without reloading the entire page. It uses the XMLHttpRequest object to send and receive data from a web server in the background. This allows for faster and more interactive web applications. Popular websites like Gmail, Facebook, and Google Maps use Ajax to asynchronously update parts of the page for a more seamless user experience.
Web Scraping With Python
This document discusses web scraping using Python. It provides an overview of scraping tools and techniques, including checking terms of service, using libraries like BeautifulSoup and Scrapy, dealing with anti-scraping measures, and exporting data. General steps for scraping are outlined, and specific examples are provided for scraping a website using a browser extension and scraping LinkedIn company pages using Python.
Introduction about-ajax-framework
Ajax [Asunchronous HTTP request ] - A Deep Introduction About Ajax Technology - Lets Take a Glance About Ajax ,Where it's use | Whats the purpose of Ajax in Web Application Developement . Bacis of Ajax Technology + Coding Tips ..
Web Scraping and Data Extraction Service
Learn more about Web Scraping and data extraction services. We have covered various points about scraping, extraction and converting un-structured data to structured format. For more info visit http://promptcloud.com/
Investigating server logs
This document discusses server log forensics. It begins by defining logs as files that list actions that have occurred on servers. It then discusses who creates logs, including operating systems, software, and specific locations logs are stored on Windows and Linux systems. Basic terminology is introduced, including definitions of servers, web servers, and FTP. It describes server logs as files automatically created by servers to record activities. It discusses classifying servers and analyzing web server, FTP server, and other logs to uncover forensic evidence about users' activities and attempts like SQL injection.
OK Google, Whats next? - OMT Wiesbaden 2018
My talk from Online Marketing Tag (OMT) Wiesbaden 2018 covering the ever-changing landscape of search and some of the stuff that I think will have a significant impact on SEO in the very near future!
Web scraping with BeautifulSoup, LXML, RegEx and Scrapy
Web Scraping Introduction. It will cover cover all the most available libraries and the way they can be handled to scrape our required data. Created by Littin Rajan
Jinchao demo
This document describes a real-time Twitter search engine that allows for complex queries. It collects tweets using Logstash and stores them in Elasticsearch. Users can register search queries using Elasticsearch's percolator, which will match incoming tweets and update users in real time using Redis pub/sub. Challenges included ingesting data from Kafka to Elasticsearch, implementing the percolator, and updating the frontend in real time from the Flask server.
Migration Best Practices - SEOkomm 2018
My talk from SEOkomm 2018 in Salzburg covering best practices on how to successfully naviate through the various types of migrations (protocal migrations, frontend migrations, etc.) from an SEO perspective - mainly focussing on all things tech.
Google history nd architecture
Google is the most popular search engine in the world. It was founded in 1998 by Larry Page and Sergey Brin while they were PhD students at Stanford University. Google's main aim is to organize the world's information and make it universally accessible and useful. The company gets its name from the term "googol", which refers to the large quantities of information Google aims to provide. Google uses web crawlers to retrieve web pages from across the internet and stores them in a repository. It then indexes the pages to build search indexes like word occurrence lists. These indexes are used by the searcher to return relevant results in response to user queries. Google's PageRank algorithm assigns importance values to web pages based on the page's
Getting started with Web Scraping in Python
All the necessary tricks, libraries, tools that a beginner should know to successfully scrape any site with python. Instead of covering on code I'm focusing more on developing an intuition in the reader so that he can decide intuitively what path to take.
Scraping data from the web and documents
This document discusses web scraping and data extraction. It defines scraping as converting unstructured data like HTML or PDFs into machine-readable formats by separating data from formatting. Scraping legality depends on the purpose and terms of service - most public data is copyrighted but fair use may apply. The document outlines the anatomy of a scraper including loading documents, parsing, extracting data, and transforming it. It also reviews several scraping tools and libraries for different programming languages.
Introduction to Web Scraping using Python and Beautiful Soup
These are the slides on the topic Introduction to Web Scraping using the Python 3 programming language. Topics covered are-
What is Web Scraping?
Need of Web Scraping
Real Life used cases .
Workflow and Libraries used.
Local hack day
Kaushal Parikh gave an introductory presentation on web development with Python and Flask. He began by introducing himself and gave an overview of key concepts like HTTP, REST, and how requests and responses work in a web application. He explained how a user makes a request that is received by the application server, which then generates and sends a response. He also discussed HTTP middleware, different types of responses and status codes. Finally, he provided an example Flask application and helpful resources for learning more.
MetaSearch vs Harvesting and Indexing
https://doi.org/10.6084/m9.figshare.11854920.v1
A comparison between metasearch/federated search and harvesting & indexing in libraries.
Webinar: MongoDB Connector for Spark
Learn how to build new classes of sophisticated, real-time analytics by combining Apache Spark, the industry's leading data processing engine, with MongoDB, the industry’s fastest growing database.
We live in a world of “big data.” But it isn’t just the data itself that is valuable – it’s the insight it can generate. How quickly an organization can unlock and act on that insight has become a major source of competitive advantage. Collecting data in operational systems and then relying on nightly batch extract, transform, load (ETL) processes to update the enterprise data warehouse (EDW) is no longer sufficient.
In this live session, we show you how MongoDB and Spark work together and provide examples using the new Spark Connector for MongoDB.
This session was sponsored by Stratio & Paradigma.
What's hot (20)
Web scraping with BeautifulSoup, LXML, RegEx and Scrapy
Web scraping with BeautifulSoup, LXML, RegEx and Scrapy
Introduction to Web Scraping using Python and Beautiful Soup
Introduction to Web Scraping using Python and Beautiful Soup
Viewers also liked
Freebase Lightning Tech Talk
Freebase is a sometimes described as a Wikipedia that allows users to define relationships between items on the web. Tim Dennis presents this collaborative knowledge base and explains how it exposes content through multiple APIs that library coders or patrons can access and reuse.
Trains of brazil
The document provides information about various train tours available in Brazil. It describes 6 different train routes:
1) The Vitória-Minas train that runs between Belo Horizonte and Vitória, taking 13 hours to cover 664 km.
2) The Capixaba's Mountains Train that runs on weekends between the towns of Viana, Domingos Martins, Marechal Floriano and Araguaya in Espírito Santo state.
3) The Corcovado Train in Rio de Janeiro that takes visitors to view the Christ the Redeemer statue.
4) The Paraná's Mountain Range Train and Luxury Train between Curitiba and Morretes
Hdfc morning note
- Key Indian indices ended lower, with the Sensex down 0.71% and Nifty down 0.68%. US markets closed higher, with the Dow up 0.36%.
- Among sectors, BSE Metal lost the most at 1.89% while FMCG gained 0.08%. Top gainers were Glenmark and NTPC, top losers were RCom and HCL Tech.
- The rupee lost 3 paise against the dollar. Oil prices gained 3.4% while gold ended marginally lower. Asian markets are mixed in early trade.
Killing Zombie Software - Technology Exit Planning
Whether you are a big, sprawling MNC or a sleak, sexy start-up, zombie software will quickly invade your product platform. This deck is meant to start a conversation on how our industry can fight the zombies.
Bas Vodde - The story of LEsS
This document outlines the Scrum framework and process for developing software in an agile manner. It shows the sprint cycle which includes sprint planning, daily standups, the development iteration, sprint review, and retrospective. It emphasizes cross-functional, self-organizing teams that are responsible for delivering working software every sprint. Additionally, it discusses scaling Scrum to large projects through techniques like feature teams and component teams.
Economics assignment1
The document discusses key drivers, findings, benefits, and demand for eHealth initiatives. It notes that eHealth initiatives are currently in early stages worldwide and are being driven by government legislation. Major benefits include improved information availability, interoperability, and more efficient healthcare delivery through reduced costs and duplication. Data security is the top concern regarding eHealth adoption.
Leveraging Social Media to Gain Market Shares in Services Marketing
Social media has become an effective marketing tool for brands to connect with customers. This document discusses how service marketers can leverage various social media tools, such as Facebook, LinkedIn, Twitter, YouTube and Pinterest, to engage with audiences and gain market share. It provides examples of how companies use social networks, online communities, videos and photos to better understand customer needs and behavior and strengthen customer relationships.
LatJUG Feb-2011
The document summarizes the activities of the Java User Group Latvia from 2010 to 2011. It held its first events in 2010 and saw growth in 2011 with supporting companies, 10 events held, and international speakers. Upcoming events are announced, including the JUG Meeting #4 on February 3rd 2011 covering topics like JSF2, Google App Engine, and JPA2, as well as the Agile Riga Day 2011 conference on March 5th.
LatJUG. JSF2.0 - The JavaEE6 Standard
Java User Group Latvia
February 2011
JSF2.0 - The JavaEE6 Standard
Arkadi Shishlov
http://goo.gl/rzD0q
Livro1
O documento lista as despesas mensais de Ruben Couto, totalizando R$505. Sua maior despesa é com renda/mensalidade, representando 30% do total, seguida por luz com 59%. Água, internet e telefone são consideradas despesas normais em comparação com renda/mensalidade e luz, que são elevadas.
Diana
Charles Lyell y Charles Darwin realizaron aportaciones fundamentales sobre los cambios graduales en la geología y la evolución biológica que sentaron las bases para el desarrollo posterior de la ecología como disciplina científica.
Acuerdo 015 de 2016
Por medio del cual se autoriza al alcalde municipal para realizar la venta de un vehículo de propiedad del municipio de Santa Fe de Antioquia
Jack D Ryger: Ultimate Driving Experiences
Jack D Ryger shares pictures of some of the beautiful cars he has driven and the gorgeous locations he has driven them in.
Technology Integration for Successful Virtual Teams
This short document promotes the creation of presentations using Haiku Deck on SlideShare. It includes photos from three different photographers to illustrate the variety of images available. Viewers are encouraged to get started making their own Haiku Deck presentations on SlideShare.
Elevator pitch
El documento explica qué es el Elevator Pitch, una técnica para presentar un proyecto empresarial, producto o servicio de manera concisa (3-4 minutos) a potenciales clientes o inversores, similar al tiempo que dura un viaje en ascensor. El Elevator Pitch debe comunicar quiénes son, qué ofrecen, en qué son diferentes y cómo contactar, para generar interés y obtener una reunión posterior donde detallar la propuesta. Es importante transmitir credibilidad, entusiasmo y causar buena impresión en los primeros segundos.
Tesol 2015 featured presentation on Crossing Networks, Building Connections t...
This document summarizes a presentation about the Learning2gether initiative, which facilitates online professional development events. It discusses:
1) How Learning2gether has hosted over 200 events since 2011 on topics such as connectivist learning and using games like Minecraft for education.
2) How participants in Learning2gether events learn from each other through discussion and sharing experiences in a community of practice model.
3) Examples of how Learning2gether has experimented with MOOC models and gamification to provide engaging and interactive professional development for educators.
Viewers also liked (19)
Killing Zombie Software - Technology Exit Planning
Killing Zombie Software - Technology Exit Planning
Leveraging Social Media to Gain Market Shares in Services Marketing
Leveraging Social Media to Gain Market Shares in Services Marketing
Technology Integration for Successful Virtual Teams
Technology Integration for Successful Virtual Teams
Tesol 2015 featured presentation on Crossing Networks, Building Connections t...
Tesol 2015 featured presentation on Crossing Networks, Building Connections t...
Similar to LatJUG. Google App Engine
SEO for Large Websites
How does SEO change on large websites? How do you work with mountains of data? How do you find problems when crawling is hard?
SEO for Large/Enterprise Websites - Data & Tech Side
There is a lot to cover about SEO for large websites/enterprise.
In this talk we'll cover primarily the data analysis and the technical SEO side of things. In future presentations we'll look at more.
BigDataCloud meetup - July 8th - Cost effective big-data processing using Ama...
This document discusses using Amazon Elastic MapReduce (EMR) for cost-effective big data processing. It describes the author's experience using EMR to process 1TB of log data per week for a startup. Key advantages of EMR include only paying for usage, no hardware to maintain, and ability to customize cluster resources for different jobs. The author outlines best practices learned, such as splitting logs by type and processing in smaller windows, as well as next steps like using spot instances and NoSQL for improved performance and cost savings.
Ruby on Rails Performance Tuning. Make it faster, make it better (WindyCityRa...
(reposting with clearer title)
Performance tuning presentation from WindyCityRails 2010.
Why performance matters
The right way to approach it
Front end testing tools
Automated testing tools
Common problems and the ways to solve them in Rails
Rails specific tools
bullet
slim_scrooge
rack bug
request log analyzer
rails indexes
Windy cityrails performance_tuning
Performance tuning presentation for Chicago Rails Conference. Focusing on Front end page improvements
Web Performance, Scalability, and Testing Techniques - Boston PHP Meetup
I gave this talk on 4/27/11 at the Boston PHP Meetup Group. It covers both server side and client side optimizations, as well as monitoring tools and techniques.
Cómo se diseña una base de datos que pueda ingerir más de cuatro millones de ...
En esta sesión voy a contar las decisiones técnicas que tomamos al desarrollar QuestDB, una base de datos Open Source para series temporales compatible con Postgres, y cómo conseguimos escribir más de cuatro millones de filas por segundo sin bloquear o enlentecer las consultas.
Hablaré de cosas como (zero) Garbage Collection, vectorización de instrucciones usando SIMD, reescribir en lugar de reutilizar para arañar microsegundos, aprovecharse de los avances en procesadores, discos duros y sistemas operativos, como por ejemplo el soporte de io_uring, o del balance entre experiencia de usuario y rendimiento cuando se plantean nuevas funcionalidades.
SharePoint 2010 Boost your farm performance!
This document provides an overview of how to boost performance in SharePoint. It discusses measuring and improving infrastructure, hardware, SharePoint farm, search and authentication performance. Specific techniques covered include list view throttling, performance throttling, caching, IIS optimizations, and using the developer dashboard. Testing tools like Fiddler and the Visual Studio test suite are also recommended. The goal is to understand performance bottlenecks and optimize the farm to support the required requests per second.
Why And When Should We Consider Stream Processing In Our Solutions Teqnation ...
Session Recording on Youtube
https://www.youtube.com/watch?v=uWPZQ_HMy10
- Session Description
Do you find yourself bombarded with buzzwords and overwhelmed by the rapid emergence of new technologies? "Stream Processing" is a tech buzzword that has been around for some time but is still unfamiliar to many. Join this session to discover its potential in software systems. I will share insights from Apache Flink, Apache Beam, Google Dataflow, and my experiences at Bol.com (the biggest e-commerce platform in the Netherlands) as we cover:
- Stream Processing overview: main concepts and features
- Apache Beam vs. Spring Boot comparison
- Key Considerations for Using Stream Processing
- Learning strategies to navigate this evolving landscape.
Drupal Performance : DrupalCamp North
This document provides information on improving Drupal performance through various techniques including performance testing, caching, optimizing database and server configurations, using tools like Varnish, load balancers, and CDNs, and addressing inefficient code. It also discusses a case study of using scalable cloud hosting and caching strategies to handle peak traffic for a site during major awards events.
Ldap Synchronization Connector @ 2011.RMLL
The document discusses LDAP Synchronization Connector (LSC), an open source project for automatically synchronizing user identity data across different identity repositories like LDAP directories and databases. LSC can read/write to any repository using standard protocols, transform data on-the-fly, and adjust synchronization options. It aims to simplify maintaining consistent user identities when data is stored in multiple systems.
Presto@Uber
Presto is Uber's distributed SQL query engine for their Hadoop data warehouse. Some key points:
- Presto allows interactive SQL queries directly on Uber's petabyte-scale Hadoop data lake without needing to first load the data into another database.
- It provides fast performance at scale by leveraging columnar data formats like Parquet and optimizing for distributed execution across many nodes.
- Uber deployed a 200 node Presto cluster that handles 30,000 queries per day, serving both ad hoc queries and real-time applications accessing data in Hadoop and improving on the performance of alternative solutions like Hive.
Espc17 make your share point fly by tuning and optimising sql server
SQL Server is really the brain of SharePoint. The default settings of SQL server are not optimised for SharePoint. In this session, Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (SQL Server MVP) will give you an overview of what every SQL Server DBA needs to know regarding configuring, monitoring and setting up SQL Server for SharePoint 2013. After a quick description of the SharePoint architecture (site, site collections,…), we will describe the different types of SharePoint databases and their specific configuration settings. Some do’s and don’ts specific to SharePoint and also the disaster recovery options for SharePoint, including (but not only) SQL Server Always On Availability, groups for High availability and disaster recovery in order to achieve an optimal level of business continuity.
Benefits of Attending this Session:
Tips & tricks
Lessons learned from the field
Super return on Investment
Make your SharePoint fly by tuning and optimizing SQL Server
This document summarizes a presentation on optimizing SQL Server for SharePoint. It discusses basic SharePoint database concepts, planning for long-term performance by optimizing resources like CPU, RAM, disks and network latency. It also covers optimal SQL Server configuration including installation, database settings like recovery models and file placement. Maintaining databases through tools like DBCC CheckDB and measuring performance using counters and diagnostic queries is also presented. The presentation emphasizes the importance of collaboration between SharePoint and database administrators to ensure compliance and optimize performance.
Real world business workflow with SharePoint designer 2013
Automating business processes with SharePoint 2013 is a powerful way to increase efficiency within any organization. With SharePoint Designer 2013, no-code (or declarative) workflows can be built to run either SharePoint 2013 On-Premise or in the cloud with Office 365. In this session, we’ll develop an expense report workflow from beginning to end to show how SharePoint Designer Workflows are being used in business today.
JBUG 11 - Django-The Web Framework For Perfectionists With Deadlines
The document discusses Django, an open-source web framework for Python. It highlights how Django can shorten development time for web applications by automating common tasks. It provides examples of how Django handles data modeling, views, templates, and other features out of the box. The document also lists many successful websites built with Django that demonstrate its performance, scalability, and popularity in the developer community.
SharePoint Databases: What you need to know (201512)
Presented at SQL Saturday Southampton (2015)
An introduction to the different databases that SharePoint uses, with recommendations for High Availability, Disaster Recovery and configuration settings for SQL Server, including the constraints imposed in a single farm, a stretched farm between data centres and a separate DR farm.
Google App Engine
- Google App Engine is a platform for easily developing and hosting scalable web applications, with no need for complex server management. It automatically scales the applications and handles all the operational details.
- App Engine applications run on Google's infrastructure and benefit from automatic scaling across multiple servers. It also provides security isolation and quotas to prevent applications from disrupting others.
- The platform uses a stateless, request-based architecture and scales applications automatically as traffic increases by distributing requests across multiple servers. It also uses quotas to ensure fairness among applications.
SharePoint Intelligence Real World Business Workflow With Share Point Designe...
This session introduces the basics of SharePoint Designer 2010 workflows. When you understand the building blocks of workflow actions, conditions, and steps you can quickly add workflows to automate processes and help improve your organization’s productivity and efficiency.
Google App Engine for Java
This document provides an overview of Google App Engine, including what cloud computing is, the different types of cloud computing models, how App Engine provides a scalable infrastructure, the programming languages and frameworks supported, how data is stored and accessed via the datastore, services available on App Engine like caching, task queues, and mail, and tips for testing and deploying App Engine applications.
Similar to LatJUG. Google App Engine (20)
SEO for Large/Enterprise Websites - Data & Tech Side
SEO for Large/Enterprise Websites - Data & Tech Side
BigDataCloud meetup - July 8th - Cost effective big-data processing using Ama...
BigDataCloud meetup - July 8th - Cost effective big-data processing using Ama...
Ruby on Rails Performance Tuning. Make it faster, make it better (WindyCityRa...
Ruby on Rails Performance Tuning. Make it faster, make it better (WindyCityRa...
Web Performance, Scalability, and Testing Techniques - Boston PHP Meetup
Web Performance, Scalability, and Testing Techniques - Boston PHP Meetup
Cómo se diseña una base de datos que pueda ingerir más de cuatro millones de ...
Cómo se diseña una base de datos que pueda ingerir más de cuatro millones de ...
Why And When Should We Consider Stream Processing In Our Solutions Teqnation ...
Why And When Should We Consider Stream Processing In Our Solutions Teqnation ...
Espc17 make your share point fly by tuning and optimising sql server
Espc17 make your share point fly by tuning and optimising sql server
Make your SharePoint fly by tuning and optimizing SQL Server
Make your SharePoint fly by tuning and optimizing SQL Server
Real world business workflow with SharePoint designer 2013
Real world business workflow with SharePoint designer 2013
JBUG 11 - Django-The Web Framework For Perfectionists With Deadlines
JBUG 11 - Django-The Web Framework For Perfectionists With Deadlines
SharePoint Databases: What you need to know (201512)
SharePoint Databases: What you need to know (201512)
SharePoint Intelligence Real World Business Workflow With Share Point Designe...
SharePoint Intelligence Real World Business Workflow With Share Point Designe...
More from denis Udod
LatJUG. Complete Idiots Guide2Android
Complete Idiots Guide2Android
Denis Udod
Java User Group Latvia
June 2011
www.jug.lv
LatJUG. Spring Roo
The document introduces Spring Roo, a tool that aims to make Java development fun by eliminating complexity, boosting productivity, and following principles like KISS and DRY. It discusses problems with traditional Java applications like complexity, lack of DRYness, and boilerplate code. Spring Roo uses simple commands, pragmatic code generation, and aspects to generate basic application structures and address these problems. The core components and development cycle are explained, and examples are provided of entities, controllers, and JSPX views that Roo can automatically generate.
LatJUG.Jun-2011
This document contains the agenda for a Java User Group meeting on June 2011. It lists the schedule which includes welcome remarks from 18:15-18:30, a Java User Group update from 18:30-18:45, a presentation on Spring Roo from 18:45-19:45, a coffee break from 19:45-20:05, a presentation on developing Android apps from 20:05-20:50, wrap-up and a raffle from 20:50-21:00. It also provides information on related events and how to stay connected to the Java User Group via their website and social media pages.
LatJUG. Mar-2011
The document announces an upcoming Java User Group Latvia meeting in March 2011 that will feature presentations on bytecode fundamentals, Apache Camel, and JRebel. It also advertises an April conference with 200 seats and 3 parallel talks being a joint event between the Oracle User Group and Java User Group. Information is provided for following the Java User Group on their website, Twitter, LinkedIn, and Google Groups.
LatJUG. Java Bytecode Fundamentals
Java Bytecode Fundamentals
Anton Arhipov [Estonia]
http://goo.gl/GO6Mm
Java User Group Latvia
March 2011
http://goo.gl/77MhT
LatJUG. JPA2 Done Right
Java User Group Latvia
February 2011
JPA2 Done Right
Denis Udod
http://goo.gl/rzD0q
Agile latvia evening_unit_testing_in_practice
The document discusses unit testing and addresses common objections to writing unit tests. It advocates that unit tests are important for finding bugs, reducing costs of changes, improving code quality, and avoiding fear of breaking code. While developers think they don't make mistakes or that unit tests add unnecessary complexity, the document argues that unit tests pay off by improving code quality and maintainability.
More from denis Udod (9)
Recently uploaded
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Recently uploaded (20)
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
LatJUG. Google App Engine
- 1. Google AppEngine First experience
- 2. Java and Python on Google infrastructure