This document introduces Spring Roo, an open source code generation tool. It provides rapid application development for database-backed MVC applications. Key features include generating boilerplate code, integration with Spring MVC and databases like MySQL. The document discusses using Roo for scenarios like creating new web apps or reverse engineering existing databases. It also lists additional capabilities and references for further information.
Comparing JSF, Spring MVC, Stripes, Struts 2, Tapestry and WicketMatt Raible
One of the most difficult things to do (in Java web development) today is pick which web framework to use when development an application. The Apache Software foundation hosts most of the popular Java web frameworks: Struts, MyFaces, Tapestry and Wicket. This session will compare these different web frameworks, as well as Spring MVC and Stripes. It will briefly explain how each works and the strengths and weaknesses of each. Tips, tricks and gotcha's will be plentiful. Lastly, it will provide attendees with a sample application that utilizes all 6 frameworks, so they can compare line-by-line how the frameworks are different. This sample application will include the following features: sortable/pageable list, client and server-side validation, success and error messages as well as some Ajax functionality. The frameworks will be rated on how easy they make it to implement these features.
[Note that this talk is not available outside some very specific settings but this deck is here for you as a basic resource to form a basis for your own analysis based on my reasonably objective extensive professional experience using both technology sets in the real world]
Java EE 7 has been one of the most significant overhauls of the platform. Just some of the changes include retiring EJB 2 entity beans and JAX-RPC, greater alignment with CDI, WebSocket/HTML 5 support, a standard API for JSON processing, the next version of JAX-RS, an overhaul of JMS, long-awaited concurrency utilities, batch processing in Java EE and much, much more. In order to make educated choices for adoption, one should understand how the widely-used Spring Framework aligns with Java EE.
This session will compare and contrast the Spring Framework with Java EE 7. We will focus on key areas that include the component development model, dependency injection, persistence, UI, REST, messaging, security and testing. Beyond API/features, the analysis will take a holistic view in covering concerns such as ease-of-use, manageability, ecosystem and vendor-neutrality.
With distributed tracing, we can track requests as they pass through multiple services, emitting timing and other metadata throughout, and this information can then be reassembled to provide a complete picture of the application’s behavior at runtime - Read more in https://blog.buoyant.io/2016/05/17/distributed-tracing-for-polyglot-microservices/ and https://www.rookout.com/
OWASP Security Logging API easily extends your current log4j and logback logging with impressive features helpful for security, diagnostics/forensics, and compliance. Slide deck presentation from OWASP AppSecEU 2016 in Rome.
Comparing JSF, Spring MVC, Stripes, Struts 2, Tapestry and WicketMatt Raible
One of the most difficult things to do (in Java web development) today is pick which web framework to use when development an application. The Apache Software foundation hosts most of the popular Java web frameworks: Struts, MyFaces, Tapestry and Wicket. This session will compare these different web frameworks, as well as Spring MVC and Stripes. It will briefly explain how each works and the strengths and weaknesses of each. Tips, tricks and gotcha's will be plentiful. Lastly, it will provide attendees with a sample application that utilizes all 6 frameworks, so they can compare line-by-line how the frameworks are different. This sample application will include the following features: sortable/pageable list, client and server-side validation, success and error messages as well as some Ajax functionality. The frameworks will be rated on how easy they make it to implement these features.
[Note that this talk is not available outside some very specific settings but this deck is here for you as a basic resource to form a basis for your own analysis based on my reasonably objective extensive professional experience using both technology sets in the real world]
Java EE 7 has been one of the most significant overhauls of the platform. Just some of the changes include retiring EJB 2 entity beans and JAX-RPC, greater alignment with CDI, WebSocket/HTML 5 support, a standard API for JSON processing, the next version of JAX-RS, an overhaul of JMS, long-awaited concurrency utilities, batch processing in Java EE and much, much more. In order to make educated choices for adoption, one should understand how the widely-used Spring Framework aligns with Java EE.
This session will compare and contrast the Spring Framework with Java EE 7. We will focus on key areas that include the component development model, dependency injection, persistence, UI, REST, messaging, security and testing. Beyond API/features, the analysis will take a holistic view in covering concerns such as ease-of-use, manageability, ecosystem and vendor-neutrality.
With distributed tracing, we can track requests as they pass through multiple services, emitting timing and other metadata throughout, and this information can then be reassembled to provide a complete picture of the application’s behavior at runtime - Read more in https://blog.buoyant.io/2016/05/17/distributed-tracing-for-polyglot-microservices/ and https://www.rookout.com/
OWASP Security Logging API easily extends your current log4j and logback logging with impressive features helpful for security, diagnostics/forensics, and compliance. Slide deck presentation from OWASP AppSecEU 2016 in Rome.
My 6th. revision of my Stackato presentation given at the German Perl Workshop 2013 in Berlin, Germany,
More information available at: https://logiclab.jira.com/wiki/display/OPEN/Stackato
Hong kong drupal user group nov 8th - drupal 7.32 security vulnerabilityAnn Lam
For the monthly Meetup Event on Nov. 8, we discussed the topic about the security issue of Drupal 7 and shared Drupal 8 preview (https://www.youtube.com/watch?v=ktCgVopf7D0). Enjoined the time with you all. Thanks for coming!!! Look forward to see you next time!
The Diabolical Developer's Guide to Surviving Java 9jClarity
The Diabolical Developer presents a pragmatic guide on running and compiling your application on Java 9. There are a lot of new resrtictions due to the Java 9 modular runtime, so make sure you read through carefully before your migration!
Extended edition: How to speed up .NET and SQL Server web apps (2 x 45 mins w...Bart Read
This talk describes the tools and techniques I use to diagnose performance problems in .NET and SQL Server web apps. The talk is based on a series of real world examples that allow you to build a picture of the sort of outside-in approach that works well for figuring out performance bottlenecks.
Often, once you've isolated the problem, the fix is fairly simple. Where I tend to find people struggle is in isolating problems in the first place so my aim here is to equip you to understand why your app is performing poorly.
Increasingly applications are becoming more complex with dependencies not just on the database (or several databases), but often other services. Infrastructure, networking, storage, and the client also increasingly have an impact nowadays, and this is something I try to emphasise throughout, giving you an overview of which tools to use in each case.
This is a longer version of the talk than I usually give so I take advantage of the extra time available to discuss an issue that many developers struggle with: memory management. Normally I have to skim over this but in this case I've gone into some depth about how memory is managed in runtimes such as the .NET CLR, the JVM, and JavaScript works. This will help you write code that works with the garbage collector rather than against it.
Apache Spark Performance is too hard. Let's make it easierDatabricks
Apache Spark is a dynamic execution engine that can take relatively simple Scala code and create complex and optimized execution plans. In this talk, we will describe how user code translates into Spark drivers, executors, stages, tasks, transformations, and shuffles. We will then describe how this is critical to the design of Spark and how this tight interplay allows very efficient execution. We will also discuss various sources of metrics on how Spark applications use hardware resources, and show how application developers can use this information to write more efficient code. Users and operators who are aware of these concepts will become more effective at their interactions with Spark.
Lo scorso 10 ottobre si è tenuto presso il Politecnico di Torino l'SQL Saturday #454.
Per noi di SolidQ c'era Davide Mauri che, in quanto Microsoft SQL Server MVP, ha tenuto una sessione su Azure Machine Learning.
Ecco la presentazione in 23 slides.
How I learned to time travel, or, data pipelining and scheduling with AirflowLaura Lorenz
****UPDATE: Project is now open sourced at https://www.github.com/industrydive/fileflow****
From Pydata DC 2016
Description
Data warehousing and analytics projects can, like ours, start out small - and fragile. With an organically growing mess of scripts glued together and triggered by cron jobs hiding on different servers, we needed better plumbing. After perusing the data pipelining landscape, we landed on Airflow, an Apache incubating batch processing pipelining and scheduler tool from Airbnb.
Abstract
The power of any reporting tool breaks based on the data behind it, so when our data warehousing process got too big for its humble origins, we searched for something better. After testing out several options such as Drake, Pydoit, Luigi, AWS Data Pipeline, and Pinball, we landed on Airflow, an Apache incubating batch processing pipelining and scheduler tool originating from Airbnb, that provides the benefits of pipeline construction as directed acyclic graphs (DAGs), along with a scheduler that can handle alerting, retries, callbacks and more to make your pipeline robust. This talk will discuss the value of DAG based pipelines for data processing workflows, highlight useful features in all of the pipelining projects we tested, and dive into some of the specific challenges (like time travel) and successes (like time travel!) we’ve experienced using Airflow to productionize our data engineering tasks. By the end of this talk, you will learn
- pros and cons of several Python-based/Python-supporting data pipelining libraries
- the design paradigm behind Airflow, an Apache incubating data pipelining and scheduling service, and what it is good for
- some epic fails to avoid and some epic wins to emulate from our experience porting our data engineering tasks to a more robust system
- some quick-start tips for implementing Airflow at your organization.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
My 6th. revision of my Stackato presentation given at the German Perl Workshop 2013 in Berlin, Germany,
More information available at: https://logiclab.jira.com/wiki/display/OPEN/Stackato
Hong kong drupal user group nov 8th - drupal 7.32 security vulnerabilityAnn Lam
For the monthly Meetup Event on Nov. 8, we discussed the topic about the security issue of Drupal 7 and shared Drupal 8 preview (https://www.youtube.com/watch?v=ktCgVopf7D0). Enjoined the time with you all. Thanks for coming!!! Look forward to see you next time!
The Diabolical Developer's Guide to Surviving Java 9jClarity
The Diabolical Developer presents a pragmatic guide on running and compiling your application on Java 9. There are a lot of new resrtictions due to the Java 9 modular runtime, so make sure you read through carefully before your migration!
Extended edition: How to speed up .NET and SQL Server web apps (2 x 45 mins w...Bart Read
This talk describes the tools and techniques I use to diagnose performance problems in .NET and SQL Server web apps. The talk is based on a series of real world examples that allow you to build a picture of the sort of outside-in approach that works well for figuring out performance bottlenecks.
Often, once you've isolated the problem, the fix is fairly simple. Where I tend to find people struggle is in isolating problems in the first place so my aim here is to equip you to understand why your app is performing poorly.
Increasingly applications are becoming more complex with dependencies not just on the database (or several databases), but often other services. Infrastructure, networking, storage, and the client also increasingly have an impact nowadays, and this is something I try to emphasise throughout, giving you an overview of which tools to use in each case.
This is a longer version of the talk than I usually give so I take advantage of the extra time available to discuss an issue that many developers struggle with: memory management. Normally I have to skim over this but in this case I've gone into some depth about how memory is managed in runtimes such as the .NET CLR, the JVM, and JavaScript works. This will help you write code that works with the garbage collector rather than against it.
Apache Spark Performance is too hard. Let's make it easierDatabricks
Apache Spark is a dynamic execution engine that can take relatively simple Scala code and create complex and optimized execution plans. In this talk, we will describe how user code translates into Spark drivers, executors, stages, tasks, transformations, and shuffles. We will then describe how this is critical to the design of Spark and how this tight interplay allows very efficient execution. We will also discuss various sources of metrics on how Spark applications use hardware resources, and show how application developers can use this information to write more efficient code. Users and operators who are aware of these concepts will become more effective at their interactions with Spark.
Lo scorso 10 ottobre si è tenuto presso il Politecnico di Torino l'SQL Saturday #454.
Per noi di SolidQ c'era Davide Mauri che, in quanto Microsoft SQL Server MVP, ha tenuto una sessione su Azure Machine Learning.
Ecco la presentazione in 23 slides.
How I learned to time travel, or, data pipelining and scheduling with AirflowLaura Lorenz
****UPDATE: Project is now open sourced at https://www.github.com/industrydive/fileflow****
From Pydata DC 2016
Description
Data warehousing and analytics projects can, like ours, start out small - and fragile. With an organically growing mess of scripts glued together and triggered by cron jobs hiding on different servers, we needed better plumbing. After perusing the data pipelining landscape, we landed on Airflow, an Apache incubating batch processing pipelining and scheduler tool from Airbnb.
Abstract
The power of any reporting tool breaks based on the data behind it, so when our data warehousing process got too big for its humble origins, we searched for something better. After testing out several options such as Drake, Pydoit, Luigi, AWS Data Pipeline, and Pinball, we landed on Airflow, an Apache incubating batch processing pipelining and scheduler tool originating from Airbnb, that provides the benefits of pipeline construction as directed acyclic graphs (DAGs), along with a scheduler that can handle alerting, retries, callbacks and more to make your pipeline robust. This talk will discuss the value of DAG based pipelines for data processing workflows, highlight useful features in all of the pipelining projects we tested, and dive into some of the specific challenges (like time travel) and successes (like time travel!) we’ve experienced using Airflow to productionize our data engineering tasks. By the end of this talk, you will learn
- pros and cons of several Python-based/Python-supporting data pipelining libraries
- the design paradigm behind Airflow, an Apache incubating data pipelining and scheduling service, and what it is good for
- some epic fails to avoid and some epic wins to emulate from our experience porting our data engineering tasks to a more robust system
- some quick-start tips for implementing Airflow at your organization.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Sping roo intro_2013
1. Intro into Spring Roo
MVC applications made simple and fast
@darrenrogan
http://www.cerebro.com.au
http://linkedin.com/in/darrenrogan
Podcast - http://hackandheckle.com/
iTunes - https://itunes.apple.com/au/podcast/hack-and-heckle/id593812662?mt=2&ign-mpt=uo%3D4
May 2013
Monday, 29 April 13
2. What and Why?
• Scripting based Code Generator (Roo)
• First, speed
• Second, removes boiler plated code (‘setup’
command).
• Third, No Lock In (can be easily removed, no
runtime requirements)
• And..Australian (http://static.springsource.org/
spring-roo/reference/html/background.html)
• About to release 1.2.4 (May 2013 - GA)
Monday, 29 April 13
3. Overview
Roo Shell
Rapid App Dev
DB based MVC application
STS integration (Active Shell)
Aspect Files
Monday, 29 April 13
4. DB
• JPA - Hibernate, EclipseLink and Open JPA
• Out of the Box - DB
• MySql, PostGres, HyperSonic etc
• OSGI - Oracle
• http://www.cerebro.com.au/2011/12/23/how-to-generate-pgp-signatures-gpg-setup/
• http://www.cerebro.com.au/2012/01/13/build-osgi-oracle-jdbc-driver-11g-11-2-0-3-for-use-in-
spring-roo-and-functioning-database-reserve-engineer/
• Reverse Engineer from Existing DB.
Monday, 29 April 13
5. MVC
• Spring MVC - Default
• Apache Tiles
• GWT
• Vaadin
• Flex
Monday, 29 April 13
6. Other Add Ons
• JSON (flexjson)
• Apache Solr (Text search)
• JMS (ActiveMQ)
• Spring Security (Post Creation)
• JUnit, Selenium and Log4J
• addon
list
-‐
to
see
full
listing
Monday, 29 April 13
7. Time to Code
• Roo Console
• STS (Active Shell)
• Scripts (Reuable)
Monday, 29 April 13
8. Scenarios
• New Database Backed Web App
• Reverse Engineer Existing Database to
create a new Application
• Get JSON api to load Data from Database.
(new service on existing data, e.g. archive
database)
Monday, 29 April 13
10. References
• ‘hint’ in Shell and Roo Site
• Roo Cookbook 1.1 (old as soon be at 1.2.4)
• http://static.springsource.org/spring-roo/reference/
html/beginning.html
• http://spring-roo-repository.springsource.org/
Getting_Started_with_Roo.pdf
• http://www.ibm.com/developerworks/library/os-
springroo2/index.html
Monday, 29 April 13