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Building Community APIs using GraphQL, Neo4j, and KotlinNeo4j
Neo4j is a high performance, open-source graph database written in Java and Scala.
But of course, you can use and extend it from other JVM Languages, like Kotlin.
I've been using Kotlin on and off since 2012, that's when I wrote my first article about this pragmatic and clean programming language.
Today I want to demonstrate in 4 examples how you can use Neo4j with Kotlin.
In preparation for KotlinConf 2017 we started to gather community activity of the Kotlin community in a Neo4j graph.
You can see tweets, GitHub projects, StackOverflow questions and answers and meetup events in this database of developer activity.
After showing some examples we will explore how to query that database using a Kotlin driver for Neo4j.
Then we'll look at the Kotlin + Spring (Data) demo app, that shows community members who get a lot of praise on a Twitter wall.
My main Kotlin project over the last year has been the GraphQL extension for Neo4j.
So we'll have a look at how we can extend Neo4j with a custom HTTP API and how we integrate the GraphQL-Java library using Kotlin.
This extension manages a GraphQL schema to translate GraphQL queries to Neo4js native query language Cypher.
Another way to extend Neo4j is with user-defined procedures and functions which (with a small trick) are really easy to implement with Kotlin too.
We'll take a look at the procedures and functions we expose as part of the neo4j-graphql extension.
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Graph API Strategies: CQRS for the API EconomyGareth Jones
Self-service project startup was the key driver of the first wave of the API economy.
I'll argue that self-service Change will be the key driver of the 2nd wave and propose an architecture that can enable it for the key use case of mobile app development.
Discover what's new in the Neo4j community for the week of 23 June 2018, including the World Cup Graph and GraphQL API as well as tuning Cypher queries.
Discover what's new in the Neo4j community for the week of 13 January 2018, including projects around FOSDEM, Knowledge Graphs, and the Azure template.
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Neo4j is a high performance, open-source graph database written in Java and Scala.
But of course, you can use and extend it from other JVM Languages, like Kotlin.
I've been using Kotlin on and off since 2012, that's when I wrote my first article about this pragmatic and clean programming language.
Today I want to demonstrate in 4 examples how you can use Neo4j with Kotlin.
In preparation for KotlinConf 2017 we started to gather community activity of the Kotlin community in a Neo4j graph.
You can see tweets, GitHub projects, StackOverflow questions and answers and meetup events in this database of developer activity.
After showing some examples we will explore how to query that database using a Kotlin driver for Neo4j.
Then we'll look at the Kotlin + Spring (Data) demo app, that shows community members who get a lot of praise on a Twitter wall.
My main Kotlin project over the last year has been the GraphQL extension for Neo4j.
So we'll have a look at how we can extend Neo4j with a custom HTTP API and how we integrate the GraphQL-Java library using Kotlin.
This extension manages a GraphQL schema to translate GraphQL queries to Neo4js native query language Cypher.
Another way to extend Neo4j is with user-defined procedures and functions which (with a small trick) are really easy to implement with Kotlin too.
We'll take a look at the procedures and functions we expose as part of the neo4j-graphql extension.
Why GraphQL Is Perfect For Microservices - CityJS London 2022Roy Derks
GraphQL and microservices architectures are perfectly compatible. You can use GraphQL as a data layer for these microservices and combine data from all these services into one universal API. This way, you can break the core of your services into different microservices while still providing one endpoint that your clients can interact with. Before diving into GraphQL, let's explore what microservices are and why it can be helpful to add GraphQL.
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Self-service project startup was the key driver of the first wave of the API economy.
I'll argue that self-service Change will be the key driver of the 2nd wave and propose an architecture that can enable it for the key use case of mobile app development.
Discover what's new in the Neo4j community for the week of 23 June 2018, including the World Cup Graph and GraphQL API as well as tuning Cypher queries.
This week Will and I interviewed Ward Cunningham as part of the Neo4j online meetup and we launched the first version of the much awaited Kafka Connector. Neo4j 3.5 was also released and Jennifer kicked off an exciting series of posts on the Marvel Universe.
This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics – football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how to analyse StackOverflow data using the Neo4j Graph Algorithms library.
Welcome to the 3rd edition of This Week in Neo4j for 2019.
We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5, Dr Jim Webber explains how Neo4j can be used for large scale systems using less servers, Emil is interviewed on Azeem Azhar’s podcast, and of course we have the next post in Jennifer Reif’s Marvel Series!
This week we have releases of APOC and the Neo4j JDBC Driver, a paper explaining how to derive socially useful information from public blockchains, a refresh of the Neo4j ETL guide, and more!
Explore everything that's happening in the Neo4j community for the week of 19 May 2018 including the release of Neo4j 3.4 and Neo4j is now available on Google Cloud Launcher. We also have the GQL proposal, a deep dive into the new DateTime data type, and more.
This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation Sandbox, Michael launched a GraphQL to Cypher transpiler for the JVM, and more!
This week we have Hierarchical community detection using Louvain and a Case Law Network Graph. We also learn how to creating a schema.org linked data endpoint on Neo4j, do Authorization in the GRANDstack, learn taxonomies from user tagged data, and more!
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This week we have the release of Graphileon Personal Edition, a new Getting Started with Neo4j YouTube series, Intuitive Detections Research with Neo4j, we learn how to build the user timeline of a Neo4j based dating site, and more!
This week we have DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global Power Emissions Database, Graphs and AI, Agent Smith: A “top” application for Neo4j, and more!
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This week I had fun with the online meetup on similarity algorithms with Tomaz Bratanic. I came across a great post written by Adrien Sales showing how to analyse PostgreSQL metadata using Neo4j and learned a neat approach to ingesting data into Neo4j using Kafka Streams and GraphQL.
Explore everything that's happening in Neo4j for the week of 16 June 2018, including an ETL Tool Tutorial and more on the temporal and geospatial data types.
Discover what's new in the Neo4j community for the week of 24 March 2018, including an interview with Dr Jim Webber about Knowledge Graphs and Modern AI, lots of resources for learning about GraphQL and Neo4j, and the Open Beer DB Graph.
This week we have the NetSCAN community detection algorithm, Neo4j to Contentful in Elixir, messaging features are added to the dating site, and we learn how to build trending activity feeds Using GraphQL and Neo4j.
This week we have recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding, a new GraphQL book, Thinking in Graphs for security, and more!
Discover what's new in the Neo4j community for the week of 7 October 2017, including projects around Data Science, Facebook, and Natural Language Processing.
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We also have the next part in the BBC GoodFood series, the graph technology landscape, and a novel approach for finding unique speakers from their voice print.
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This week Will and I interviewed Ward Cunningham as part of the Neo4j online meetup and we launched the first version of the much awaited Kafka Connector. Neo4j 3.5 was also released and Jennifer kicked off an exciting series of posts on the Marvel Universe.
This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics – football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how to analyse StackOverflow data using the Neo4j Graph Algorithms library.
Welcome to the 3rd edition of This Week in Neo4j for 2019.
We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5, Dr Jim Webber explains how Neo4j can be used for large scale systems using less servers, Emil is interviewed on Azeem Azhar’s podcast, and of course we have the next post in Jennifer Reif’s Marvel Series!
This week we have releases of APOC and the Neo4j JDBC Driver, a paper explaining how to derive socially useful information from public blockchains, a refresh of the Neo4j ETL guide, and more!
Explore everything that's happening in the Neo4j community for the week of 19 May 2018 including the release of Neo4j 3.4 and Neo4j is now available on Google Cloud Launcher. We also have the GQL proposal, a deep dive into the new DateTime data type, and more.
This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation Sandbox, Michael launched a GraphQL to Cypher transpiler for the JVM, and more!
This week we have Hierarchical community detection using Louvain and a Case Law Network Graph. We also learn how to creating a schema.org linked data endpoint on Neo4j, do Authorization in the GRANDstack, learn taxonomies from user tagged data, and more!
Discover what's new in Neo4j for the week of 7 July 2018, including Neo4j Morpheus, a demo of Neo4j on Google Cloud, and algorithms with Dr Jim Webber.
This week we have the release of Graphileon Personal Edition, a new Getting Started with Neo4j YouTube series, Intuitive Detections Research with Neo4j, we learn how to build the user timeline of a Neo4j based dating site, and more!
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Explore everything that's happening in Neo4j for the week of 16 June 2018, including an ETL Tool Tutorial and more on the temporal and geospatial data types.
Discover what's new in the Neo4j community for the week of 24 March 2018, including an interview with Dr Jim Webber about Knowledge Graphs and Modern AI, lots of resources for learning about GraphQL and Neo4j, and the Open Beer DB Graph.
This week we have the NetSCAN community detection algorithm, Neo4j to Contentful in Elixir, messaging features are added to the dating site, and we learn how to build trending activity feeds Using GraphQL and Neo4j.
This week we have recommendations with Personalized PageRank, Solving the bucket-filling problem, Deep Text Understanding, a new GraphQL book, Thinking in Graphs for security, and more!
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Welcome to This Week in Neo4j, where this week we have a presentation explaining why you need graph technology on Google Kubernetes Engine, as well as a blog post explaining how to reveal malware relationships using Neo4j.
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Presented by Vladimir Iglovikov:
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Twitter: https://x.com/albumentations
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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.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
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.
5. Hilary Mason and Emil Eifrem presented the opening
keynote at GraphConnect 2018. Emil presented the state of
the graph databases union and Hilary gave a talk about
Machine Learning and Artificial Intelligence, including lots
of different examples of how these
tools allow us to solve new problems.
GraphConnect 2018 Keynote: Hilary Mason and Emil
Eifrem
Watch the keynote
6. Michael released version 3.4.0.3 of the popular APOC
library. This release has support for defining custom
procedures and functions implemented in plain Cypher and
then calling them like regular ones, as well as a new
procedure for scraping web pages – I
look forward to giving that one a try!
APOC Release – Custom Procedures, Web Scraping,
Refreshed Docs
Download the latest APOC
7. On Thursday Emil announced Graphs4Good, a new
program that aims to showcase – and then support,
encourage and connect others to – graph-powered projects
that affect positive social change, uphold democratic
principles and take on some of
the world’s toughest challenges.
Learn about Graphs4Good
Graphs4Good: Building a Better World with
Connected Data
8. We also released a new version of the Graph Algorithms
library. In this release we’ve added support for calculating
similarity between nodes with the Jaccard Similarity,
Cosine Similarity, and Euclidean Distance algorithms. We're
also added Phase 2 support to our
Louvain implementation.
Graph Algos Release – Similarity Functions,
Balanced Triads, Louvain Phase 2
Download the latest Graph Algos
9. This week Michael Hunger was interviewed on the Talking
Kotlin podcast. Michael explains how he got into graphs,
gives an introduction to the property graph model, and
describes the types of queries that work well on graph
databases. In the second half of the interview
Michael talks about integrating Neo4j with
both GraphQL and Kotlin.
Talking Kotlin: Michael Hunger
Listen to the podcast
10. David Allen has written a blog post in which he shows how
to setup valid SSL to protect data in transit using
Let’sEncrypt, a popular free certificate authority.
Getting Certificates for Neo4j with LetsEncrypt
Read the blog post
11. If you liked this check
out the blog post
This Week in Neo4j - 22nd September 2018