mu.semte.ch, a framework for building microservices-powered applications on top of Linked Data, presented from TenForce's perspective. This presentation was given at Semantics2016.
Azure service bus based on cloud computingarun Prabha
Azure is Microsoft’s cloud computing platform, a growing collection of integrated services—analytics, computing, database, mobile, networking, storage and web—for moving faster, achieving more and saving money. It is an infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft-managed and Microsoft partner hosted data centers.
Azure service bus based on cloud computingarun Prabha
Azure is Microsoft’s cloud computing platform, a growing collection of integrated services—analytics, computing, database, mobile, networking, storage and web—for moving faster, achieving more and saving money. It is an infrastructure, created by Microsoft, for building, deploying and managing applications and services through a global network of Microsoft-managed and Microsoft partner hosted data centers.
The Microsoft Azure Traffic Manager provides global DNS load balancing methods of distributing internet traffic among two or more endpoints (for example: Virtual Machines or WebApps ) on a different cloud services that could be located on a different regions, all accessible with the same URL, in one or more Microsoft Azure datacenters around the world.
In this session I will explain about the different methods, I will show you how to configure the Traffic Manager and I will present a little demo.
At the end of this session you'll be able to provide better Performance, Redundancy and HA to your servers and/or web applications by using the Microsoft Azure Traffic Manager.
Dpilot is a cloud based file transfer application that allows its user to upload data on cloud server and the receiver on the other hand can downlaod the data from the server. The Downlaod information is send to the receiver via mail service.
Other Features include:-
Secure Login system
Easy data Access
Lightening Fast Uploads and Downloads
Connect with your Facebook Or Gmail Account for easy access
Microsoft Azure Service Management Vs Microsoft Azure Resource ManagerIdo Katz
One of the biggest pain points today when using Azure is deciding on what kind of deployments method we are going to use. In this talk you will learn about the transition from Azure Service Management (also known as "Classic" and V1) to Azure Resource Manager (also known as ARM). We will discuss both IaaS deployment methods and will give you a better understanding about the differences, pros and cons. We are also going to cover the migration options that Azure offers today and what will be the right way to migrate.
Overview of azure microservices and the impact on integrationBizTalk360
On the back of Integrate 2014, Sam Vanhoutte will discuss view on some of the implications of the announcements made at the conference and talk about how this might affect the future for integration professionals
With the increasing adoption of NoSQL data base systems like MongoDB or CouchDB more and more applications store structured data according to a non-relational, document oriented model. Exposing this structured data as Linked Data is currently inhibited by a lack of standards as well as tools and requires the implementation of custom solutions. While recent efforts aim at expressing transformations of such data models into RDF in a standardized manner, there is a lack of approaches which facilitate SPARQL execution over mapped non-relational data sources. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. SparqlMap-M is an extension to our SPARQL-to-SQL rewriter SparqlMap that performs a (partial) transformation of SPARQL queries by using a relational abstraction over a document store. Further, duplicate data in the document store is used to reduce the number of joins and custom optimiza-tions are introduced. Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adap-tions to a document data model. We use this scenario to demonstrate the viability of our approach and compare it to different MongoDB setups and native SQL.
Jörg Unbehauen | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Large corporations have to master vast amounts of heterogeneous data in order to stay competitive. While existing approaches have attempted to consolidate and manage the data by forcing it into a single shared data model, data lakes recently emerged that instead provide a central storage point for holding all data sets in their original form.
In this talk, we present eccenca CorporateMemory, which extends the data lake paradigm with a semantic integration layer for managing diverse, but semantically enriched data. eccenca CorporateMemory builds an extensible knowledge graph that employs RDF vocabularies for transforming and linking multiple datasets in order to generate an integrated semantic understanding of the data.
Robert Isele | Head of Data Integration Unit at eccenca GmbH
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
The Microsoft Azure Traffic Manager provides global DNS load balancing methods of distributing internet traffic among two or more endpoints (for example: Virtual Machines or WebApps ) on a different cloud services that could be located on a different regions, all accessible with the same URL, in one or more Microsoft Azure datacenters around the world.
In this session I will explain about the different methods, I will show you how to configure the Traffic Manager and I will present a little demo.
At the end of this session you'll be able to provide better Performance, Redundancy and HA to your servers and/or web applications by using the Microsoft Azure Traffic Manager.
Dpilot is a cloud based file transfer application that allows its user to upload data on cloud server and the receiver on the other hand can downlaod the data from the server. The Downlaod information is send to the receiver via mail service.
Other Features include:-
Secure Login system
Easy data Access
Lightening Fast Uploads and Downloads
Connect with your Facebook Or Gmail Account for easy access
Microsoft Azure Service Management Vs Microsoft Azure Resource ManagerIdo Katz
One of the biggest pain points today when using Azure is deciding on what kind of deployments method we are going to use. In this talk you will learn about the transition from Azure Service Management (also known as "Classic" and V1) to Azure Resource Manager (also known as ARM). We will discuss both IaaS deployment methods and will give you a better understanding about the differences, pros and cons. We are also going to cover the migration options that Azure offers today and what will be the right way to migrate.
Overview of azure microservices and the impact on integrationBizTalk360
On the back of Integrate 2014, Sam Vanhoutte will discuss view on some of the implications of the announcements made at the conference and talk about how this might affect the future for integration professionals
With the increasing adoption of NoSQL data base systems like MongoDB or CouchDB more and more applications store structured data according to a non-relational, document oriented model. Exposing this structured data as Linked Data is currently inhibited by a lack of standards as well as tools and requires the implementation of custom solutions. While recent efforts aim at expressing transformations of such data models into RDF in a standardized manner, there is a lack of approaches which facilitate SPARQL execution over mapped non-relational data sources. With SparqlMap-M we show how dynamic SPARQL access to non-relational data can be achieved. SparqlMap-M is an extension to our SPARQL-to-SQL rewriter SparqlMap that performs a (partial) transformation of SPARQL queries by using a relational abstraction over a document store. Further, duplicate data in the document store is used to reduce the number of joins and custom optimiza-tions are introduced. Our showcase scenario employs the Berlin SPARQL Benchmark (BSBM) with different adap-tions to a document data model. We use this scenario to demonstrate the viability of our approach and compare it to different MongoDB setups and native SQL.
Jörg Unbehauen | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Large corporations have to master vast amounts of heterogeneous data in order to stay competitive. While existing approaches have attempted to consolidate and manage the data by forcing it into a single shared data model, data lakes recently emerged that instead provide a central storage point for holding all data sets in their original form.
In this talk, we present eccenca CorporateMemory, which extends the data lake paradigm with a semantic integration layer for managing diverse, but semantically enriched data. eccenca CorporateMemory builds an extensible knowledge graph that employs RDF vocabularies for transforming and linking multiple datasets in order to generate an integrated semantic understanding of the data.
Robert Isele | Head of Data Integration Unit at eccenca GmbH
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
A large part of the free knowledge existing on the Web is available as heterogeneous, semi-structured data, which is only weakly interlinked and in general does not include any semantic classification.
Michael Krug | Technische Universität Chemnitz
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Collaboration is one of the most important topics regarding the evolution of the World Wide Web and thus also for the Web of Data. In scenarios of distributed collaboration on datasets it is necessary to provide support for multiple different versions of datasets to exist simultaneously, while also providing support for merging diverged datasets. In this paper we present an approach that uses SPARQL 1.1 in combination with the version control system Git, that creates commits for all changes applied to an RDF dataset containing multiple named graphs. Further the operations provided by Git are used to distribute the commits among collabora-tors and merge diverged versions of the dataset. We show the advantages of (public) Git repositories for RDF datasets and how this represents a way to collaborate on RDF data and consume it. With SPARQL 1.1 and Git in combination, users are given several opportunities to participate in the evolution of RDF data.
Natanael Arndt | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Coherent and consistent tracking of provenance data and in particular update history information is a crucial building block for any serious information system architecture.
Marvin Frommhold | AKSW, Universität Leipzig
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Since the most of the world’s data is unstructured, the mining of required information from text was, is and will be essential.
Martin Voigt | CEO Ontos GmbH
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Semantic technologies offer a wide range of benefits in an increasing number of application fields such as data management, business intelligence, machine learning etc.
from Christian Opitz | Head of innovation at Netresearch GmbH & Co. KG
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
We discuss and demonstrate how selected governmental data from the city of Leipzig,
published as Linked Data, can play a decisive factor for realizing Digital Agenda goals of the European Commission.
As an example, Lecos present the current state and planned future developments of:
(a) data sources,
(b) data conversions,
(c) publishing technologies and
(d) incubating visualizations about data concerning the accessibility of governmental edifices depending on the degree of disabilities of visiting citizen.
Holger Wollschläger | IT-Consultant at Lecos GmbH
Presentation at Semantics 2016 in Leipzig in the context with the results of the LEDS project
Semantic technologies in practice - KULeuven 2016Aad Versteden
Slides of the course given at the KULeuven lecture of Knowledge and the Web on 2016/10/26. Examples of semantic technologies and a way of developing web apps on top of it.
BASE is an open source python framework based on tornado asynchronous web framework, which represents an upgrade by adding a decorators library that enables fast and simple development of REST-API based applications and it reduces the need for coding frequently used segments of code. Besides that, BASE can be used as an engine for web sites.
Microservices and containers for the unitiatedKevin Lee
In this presentation I provide a high level explanation of why applications are now being developed using in a Microservice architecture. I look at how Microservice applications are typically developed and deployed using container technology and look at some of the challenges of using container technology for applications in production.
The Future is Now: Leveraging the Cloud with RubyRobert Dempsey
My presentation from the Ruby Hoedown on cloud computing and how Ruby developers can take advantage of cloud services to build scalable web applications.
SVILUPPARE E GESTIRE ARCHITETTURE A MICROSERVIZI SU AZUREDotNetCampus
Lo sviluppo nel Cloud porta con sè una serie di nuove sfide per poter gestire in maniera efficiente le risorse a disposizione e creare architetture in grado di sfruttarne appieno le caratteristiche di flessibilità. In questa presentazione vedremo esempi di possibili approcci alla realizzazione di architetture a micro-servizi.
Monitoring a Kubernetes-backed microservice architecture with PrometheusFabian Reinartz
As many startups of the last decade, SoundCloud’s architecture started as a Ruby-on-Rails monolith, which later had to be broken into microservices to cope with the growing size and complexity of the site. The microservices initially ran on an in-house container management and deployment platform. Recently, the company has started to migrate to Kubernetes.
With the introduction of microservices, the existing conventional monitoring setup failed both conceptually and in terms of scalability. Thus, starting in 2012, SoundCloud invested heavily into the development of the open-source monitoring system Prometheus, which was designed for large-scale highly dynamic service-oriented architectures.
Migrating to Kubernetes, it became apparent that Prometheus and Kubernetes are a match made in open-source heaven. The talk will demonstrate the current Prometheus setup at SoundCloud, monitoring a large-scale Kubernetes cluster.
This is basically a re-delivery of several Build talks and another Microservices talk from my customer engagements. Some information about microservices, when to use what and Azure Service Fabric.
CI/CD with Kubernetes from development to production at GoEuro, a Europe-wide web scale travel search and booking engine startup. Presented at KubeCon + CloudNativeCon 2017 Europe. Link: https://goo.gl/HTSUuu
Hybrid Cloud, Kubeflow and Tensorflow Extended [TFX]Animesh Singh
Kubeflow Pipelines and TensorFlow Extended (TFX) together is end-to-end platform for deploying production ML pipelines. It provides a configuration framework and shared libraries to integrate common components needed to define, launch, and monitor your machine learning system. In this talk we describe how how to run TFX in hybrid cloud environments.
HTTP, JSON, JavaScript, Map&Reduce built-in to MySQLUlf Wendel
HTTP, JSON, JavaScript, Map&Reduce built in to MySQL - make it happen, today. See how a MySQL Server plugin be developed to built all this into MySQL. A new direct wire between MySQL and client-side JavaScript is created. MySQL speaks HTTP, replies JSON and offers server-side JavaScript. Server-side JavaScript gets access to MySQL data and does Map&Reduce of JSON documents stored in MySQL. Fast? 2-4x faster than proxing client-side JavaScript request through PHP/Apache. Reasonable results...
Priming Your Teams For Microservice Deployment to the CloudMatt Callanan
You think of a great idea for a microservice and want to ship it to production as quickly as possible. Of course you'll need to create a Git repo with a codebase that reuses libraries you share with other services. And you'll want a build and a basic test suite. You'll want to deploy it to immutable servers using infrastructure as code that dev and ops can maintain. Centralised logging, monitoring, and HipChat notifications would also be great. Of course you'll want a load balancer and a CNAME that your other microservices can hit. You'd love to have blue-green deploys and the ability to deploy updates at any time through a Continuous Delivery pipeline. Phew! How long will it take to set all this up? A couple of days? A week? A month?
What if you could do all of this within 30 minutes? And with a click of a button soon be receiving production traffic?
Matt introduces "Primer", Expedia's microservice generation and deployment platform that enables rapid experimentation in the cloud, how it's caused unprecedented rates of learning, and explain tips and tricks on how to build one yourself with practical takeaways for everyone from the startup to the enterprise.
Video: https://www.youtube.com/watch?v=Xy4EkaXyEs4
Meetup: http://www.meetup.com/Devops-Brisbane/events/225050723/
Similar to mu.semte.ch - A journey from TenForce's perspective - SEMANTICS2016 (20)
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
2. In 60 seconds
State-of-the-art web applications fuelled by Linked Data aware microservices
- User-facing microservices
- Easy deployment using Docker
- Single Page Apps using Ember.js
- Well known requirements
=> [HTTP+JSON+SPARQL]
https://github.com/mu-semtech/
https://mu.semte.ch
3. Some history
Share code on personal projects
Rails is not über-productive
Stay light, choose later
Use microservices and semantic model
5. KISS
- Most of us aren’t microservice experts
- Most of us aren’t UI experts
- We need to get stuff done
- Maximize freedom
- Orthogonal features
- Minimize requirements
8. Simple mental model
TenForce supports publishing of open data.
- Use DCAT standard
- EDCAT 2.0 released
- mudCAT = back-end
- webCAT = front-end
- Custom configurations to match
specific customer needs.
11. Semantic models
Services read/write the part of the world they understand.
User Registration:
- There’s a new user => add it to the triplestore.
User Login:
- Check username/password => connect user to current session.
14. Semantic models
We use the ECAS login for ESCO-related projects.
ESCO is a taxonomy of all Skills Competences and Occupations in Europe.
The Dacota team finds and classifies content. Brains for hire!
17. Docker Container =~ Lightweight Linux Virtual Machine
Docker Compose =~ Topology of multi-container project
Each service runs in its own Docker Container
In short:
- Simple hosting on hub.docker.com
- Clean project description
- Always works
- Runs on the Big Data Europe Platform
Share using Docker
18. Share using Docker
We are part of Big Data Europe
Making Big Data:
- Easy to get started
- Cheaper to maintain
… in any domain
- Now including Smart Big Data:
=> Semantics + Big Data = <3
20. Reuse everything
- Templates: basics for a service
- Configurable services
- mu-cl-resources
- Ember add-ons
- Hierarchy service + add-on
- Login service + add-on
21. Base templates
CatalogsIndexRoute = Ember.Route.extend
ajax: Ember.inject.service()
model: () ->
@get('ajax').request('/hello')
Hello result: {{model.value}}
get '/hello/' do
counter = query( "SELECT COUNT (*) as ?counter" +
"WHERE {" +
" ?s ?p ?o." +
"}" ).first[:counter].to_i
status 200
{ value: counter }.to_json
end
FROM semtech/mu-ruby-template:2.0.0-ruby2.3
MAINTAINER Your Name <you@provider.com>
demo:
image: you/demo-service
links:
- db:database
dispatcher:
…
links:
- demo:demo
match "/hello/*path" do
Proxy.forward conn, path, "http://demo/hello/"
end
[mu-ruby-template]
30. Trigger microservices by changes in
semantic model.
Example:
- Compute KPIs when a new dataset is added
- Send email/tweet by writing it to the triplestore
Reactive programming
32. More authority
Describe authorization outside the microservices:
- Simplify mental model
- Help in sharing content
- Open gate to advanced
applications
search for Jonathan Langens if you want to know more
33. More interactivity
Push cache updates to all visiting clients.
Almost no development time to create
basic interactive applications
(eg: updating KPIs, chat applications, …)