Some times we can forget that one of the most interesting uses of a language like Groovy is to make small scripts, beyond the need of playing with the rules and peculiarities of monster frameworks like Grails. This point is interesting not only for Groovy programmers, but also (specially) for Java programmers afraid of using Groovy in production code for being "dirty".
In this talk we'll see how Groovy is a language specially prepared for scripting, and very easy to handle for programmers with a Java background. We'll also explore some peculiarities of Groovy scripts in comparison to complete applications, and some interesting ideas which can be applied to scripts, based on my experience, and can be useful to anyone.
Internet of Information and Services (IoIS): A Conceptual Integrative Archite...Antonio Marcos Alberti
Worldwide, hundreds of projects to redesign the Internet are in progress under the banner of the so-called Future Internet. Some argue that the most important thing is to redesign to accommodate information exchanging, a.k.a. information- centrism. Others argue that the most important thing is to redesign to accommodate service-based applications, i.e. service-centrism. Who is right? This paper defends the idea that the most important thing is to redesign to integrate both aspects cohesively — we call this approach Internet of Information and Services (IoIS). Poster at Conference at Future Internet 2012, Seoul, Korea.
In a real life almost any project deals with the
tree structures. Different kinds of taxonomies,
site structures etc require modeling of
hierarchy relations.
Typical approaches used
● Model Tree Structures with Child References
● Model Tree Structures with Parent References
● Model Tree Structures with an Array of Ancestors
● Model Tree Structures with Materialized Paths
● Model Tree Structures with Nested Sets
Some times we can forget that one of the most interesting uses of a language like Groovy is to make small scripts, beyond the need of playing with the rules and peculiarities of monster frameworks like Grails. This point is interesting not only for Groovy programmers, but also (specially) for Java programmers afraid of using Groovy in production code for being "dirty".
In this talk we'll see how Groovy is a language specially prepared for scripting, and very easy to handle for programmers with a Java background. We'll also explore some peculiarities of Groovy scripts in comparison to complete applications, and some interesting ideas which can be applied to scripts, based on my experience, and can be useful to anyone.
Internet of Information and Services (IoIS): A Conceptual Integrative Archite...Antonio Marcos Alberti
Worldwide, hundreds of projects to redesign the Internet are in progress under the banner of the so-called Future Internet. Some argue that the most important thing is to redesign to accommodate information exchanging, a.k.a. information- centrism. Others argue that the most important thing is to redesign to accommodate service-based applications, i.e. service-centrism. Who is right? This paper defends the idea that the most important thing is to redesign to integrate both aspects cohesively — we call this approach Internet of Information and Services (IoIS). Poster at Conference at Future Internet 2012, Seoul, Korea.
In a real life almost any project deals with the
tree structures. Different kinds of taxonomies,
site structures etc require modeling of
hierarchy relations.
Typical approaches used
● Model Tree Structures with Child References
● Model Tree Structures with Parent References
● Model Tree Structures with an Array of Ancestors
● Model Tree Structures with Materialized Paths
● Model Tree Structures with Nested Sets
Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine.
It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small!
This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale.
https://github.com/clintongormley/Elastic-Model
Elastic::Model is a new framework to store your Moose objects, which uses ElasticSearch as a NoSQL document store and flexible search engine.
It is designed to make small beginnings simple, but to scale easily to Big Data requirements without needing to rearchitect your application. No job too big or small!
This talk will introduce Elastic::Model, demonstrate how to develop a simple application, introduce some more advanced techniques, and discuss how it uses ElasticSearch to scale.
https://github.com/clintongormley/Elastic-Model
U hebt ervoor gekozen te investeren in onroerend goed.
Dit is een eersteklas vorm van beleggen. Als u uw pand verhuurt, levert het elke Integriteit, vertrouwen en eerlijkheid.
This is the Moose talk I gave at YAPC::NA 2012.
It included a practical example of a Moose objects code, a simple app called Comican. The code is not available online. If you want it, just email me (sawyer ATT cpan DOTT org).
Introducing the Eve REST API Framework.
FOSDEM 2014, Brussels
PyCon Sweden 2014, Stockholm
PyCon Italy 2014, Florence
Python Meetup, Helsinki
EuroPython 2014, Berlin
Value objects express “‘what’ something is rather than ‘who’ or ‘which’ it is.” In other words, values lack identity.
For example, the number 10 or the color red - all instances of 10 are conceptually equal to all other instances of 10, and likewise, red is always red. Two red bikes, however, have distinct identities.
We’ll explore how extracting value objects can simplify the challenge of bringing the real-world to bear as software. Then, we’ll touch on some strategies for integrating value objects with everyone’s favorite ORM, ActiveRecord.
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.
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/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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.
3. - Ruby, Python, C++, C#, VB.NET, Java, Object Pascal,
Objective-C e Smalltalk são exemplos de linguagens de
programação orientadas a objetos.
- ActionScript, ColdFusion, Javascript, PHP (a partir da versão 4.0),
Perl (a partir da versão 5) e Visual Basic (a partir da versão 4)
são exemplos de linguagens de programação com suporte
a orientação a objetos.
6. Objeto
Um objeto é capaz de armazenar estados através de seus atributos
e reagir a mensagens enviadas a ele, assim como se relacionar e
enviar mensagens a outros objetos. Um objeto está associado com
classe.
Ex.: Cícero, Heitor e Prático.
7. Atributos
São as características do objeto, basicamente a estrutura de
dados que vai representar a classe.
Ex.: Nome, peso, altura, idade
8. Classes
É um conjunto de objetos, a classe define o comportamento
dos objetos através de seus métodos.
Ex.: Animal, Pig, Wolf, House, TypeHouse
16. 1.9.3p194 :001 > w = Wolf.last
Wolf Load (2.1ms) SELECT "animals".* FROM "animals" WHERE "animals"."type" IN ('Wolf')
ORDER BY "animals"."id" DESC LIMIT 1
=> #<Wolf id: 4, name: "Lobo Mau", type: "Wolf", weight: nil, height: nil, age: nil,
created_at: "2012-12-12 23:55:38", updated_at: "2012-12-12 23:55:38", house_id: nil>
1.9.3p194 :002 > w.blow_the_straw_house
Vou soprar, vou soprar e sua casa vou derrubar
TypeHouse Load (15.3ms) SELECT "type_houses".* FROM "type_houses" WHERE "type_hous
House Load (1.9ms) SELECT "houses".* FROM "houses" WHERE "houses"."type_house_id" =
(1.1ms) BEGIN
Pig Load (1.0ms) SELECT "animals".* FROM "animals" WHERE "animals"."type" IN ('Pig') AND
SQL (1.6ms) UPDATE "animals" SET "house_id" = NULL WHERE "animals"."type" IN ('Pig') AN
SQL (1.6ms) DELETE FROM "houses" WHERE "houses"."id" = $1 [["id", 1]]
(20.1ms) COMMIT
=> [#<House id: 1, type_house_id: 1, color: "Marrom", length: nil, width: nil, height: nil, created_at
17. # encoding: UTF-8
class Wolf < Animal
def speak
"Aaauuuuuuu"
end
def blow_the_straw_house
puts sentence_of_intimidation
TypeHouse.destroy_houses_with 1
end
def blowing_wooden_house
puts sentence_of_intimidation
TypeHouse.destroy_houses_with 2
end
def blowing_brick_house
puts sentence_of_intimidation
puts "Porcos - Lobo tolo, minha casa é de tijolo"
end
private
def sentence_of_intimidation
"Lobo - Vou soprar, vou soprar e sua casa vou derrubar"
end
end
18. class TypeHouse < ActiveRecord::Base
attr_accessible :name
has_many :houses
validates :name, presence: true, uniqueness: true
def self.destroy_houses_with id
type_house = TypeHouse.find id
type_house.houses.each do |house|
house.destroy
end
end
end
19. 1.9.3p194 :003 > w.blowing_wooden_house
Vou soprar, vou soprar e sua casa vou derrubar
TypeHouse Load (0.7ms) SELECT "type_houses".* FROM "type_houses"
WHERE "type_houses"."id" = $1 LIMIT 1 [["id", 2]]
House Load (0.8ms) SELECT "houses".* FROM "houses"
WHERE "houses"."type_house_id" = 2
(0.2ms) BEGIN
Pig Load (0.7ms) SELECT "animals".* FROM "animals" WHERE "animals"."type"
IN ('Pig') AND "animals"."house_id" = 2
SQL (0.7ms) UPDATE "animals" SET "house_id" = NULL WHERE "animals"."type"
IN ('Pig') AND "animals"."house_id" = 2 AND "animals"."id" IN (2)
SQL (0.4ms) DELETE FROM "houses" WHERE "houses"."id" = $1 [["id", 2]]
(17.3ms) COMMIT
=> [#<House id: 2, type_house_id: 2, color: "Vermelha", length: nil, width: nil, height: nil,
created_at: "2012-12-12 23:55:37", updated_at: "2012-12-12 23:55:37">]
20. 1.9.3p194 :002 > w.blowing_brick_house
Lobo - Vou soprar, vou soprar e sua casa vou derrubar
Porcos - Lobo tolo, minha casa é de tijolo
=> nil
21. 1.9.3p194 :005 > w.chimney_climb
Lobo - vou comer esses porquinhos
=> nil
1.9.3p194 :006 > w.entering_the_chimney
ploft!!. O lobo caiu na panela de água fervente
(0.3ms) BEGIN
SQL (10.8ms) DELETE FROM "animals" WHERE "animals"."type" IN ('Wolf')
AND "animals"."id" = $1 [["id", 4]]
(21.6ms) COMMIT
=> #<Wolf id: 4, name: "Lobo Mau", type: "Wolf", weight: nil, height: nil, age: nil,
created_at: "2012-12-14 19:56:59", updated_at: "2012-12-14 19:56:59", house_id: nil>
22. 1.9.3p194 :001 > Pig.singing
Quem tem medo do lobo mau, lobo mau, lobo mau ...
=> nil