This document provides an overview of application development using Spring LDAP. It begins with introducing the presenter and agenda. It then covers JNDI and its drawbacks for LDAP operations. The bulk of the document discusses Spring LDAP, including its features, core concepts like context source and LdapTemplate, and examples of template usage, ODM, and integration testing with LdapUnit. It also shows how Spring LDAP can simplify authentication compared to standard JNDI. The presentation concludes by asking for any other ways Spring LDAP could be improved.
OpenLDAP has been replacing proprietary directory server offerings in the private sector, public sector and the financial sector at an increasing pace. This is largely due to its performance and scalability, dynamic configuration capabilities and flexible extensibility via bundled modules.
OpenLDAP would not have earned its place in these sectors without enterprise grade replication options.
In this talk, an overview of the latest production ready OpenLDAP 2.4 replication features will be discussed and the numerous best practice strategies will be presented covering the most common deployment configurations found in the wild.
OpenLDAP has been replacing proprietary directory server offerings in the private sector, public sector and the financial sector at an increasing pace. This is largely due to its performance and scalability, dynamic configuration capabilities and flexible extensibility via bundled modules.
OpenLDAP would not have earned its place in these sectors without enterprise grade replication options.
In this talk, an overview of the latest production ready OpenLDAP 2.4 replication features will be discussed and the numerous best practice strategies will be presented covering the most common deployment configurations found in the wild.
Introducing HerdDB - a distributed JVM embeddable database built upon Apache ...StreamNative
We will introduce HerdDB a distributed database written in Java.
We will see how a distributed database can be built using Apache BookKeeper as write-ahead commit log.
Introducing Kafka-on-Pulsar: bring native Kafka protocol support to Apache Pu...StreamNative
Kafka-on-Pulsar has been one of the most anticipated features in the Pulsar ecosystem. The Kafka-on-Pulsar project was initiated by StreamNative and the OVHCloud team quickly joined the project to collaborate on its development. Kafka-on-Pulsar enables Kafka applications to leverage Pulsar’s powerful features, such as streamlined operations with enterprise-grade multi-tenancy, without modifying code.
In this webinar, Sijie Guo, from StreamNative, and Pierre Zemb, from OVHCloud, will introduce KoP and discuss the following:
1. What are the key benefits?
2. What is the protocol handler and how does it work?
3. How KoP is implemented?
4. What are the new use cases it unlocks?
5. Watch a Live Demo!
Web application performance correlates with page views. Find out in this session how to maximize the performance of the OCI8 database extension to build fast, scalable web sites and attract users. Includes discussion of Oracle Database 11.2 and the upcoming PHP OCI8 1.4 extension.
OGh Oracle Fusion Middleware Experience 2016 bij FIGI Zeist
Door Maarten Smeets and Robbrecht van Amerongen, 16-02-2016
Ogh fmw experience 16 februari 2016
AMIS SIG - Introducing Apache Kafka - Scalable, reliable Event Bus & Message ...Lucas Jellema
Introduction of Apache Kafka - the open source platform for real time message queuing and reliable, scalable, distributed event handling and high volume pub/sub implementation.
see GitHub https://github.com/MaartenSmeets/kafka-workshop for the workshop resources.
"[WORKSHOP] K8S for developers", Denis RomanukFwdays
"It seems that perfection is attained, not when there is nothing more to add, but when there is nothing more to take away." - Antoine de Saint Exupéry
We can talk a lot about Kubernetes. But does the whole info is really need for just begining? Let's take away everything, except the really needed, and show a way for ones, who still uses only docker.
Let's consider:
Why do developers need Kubernetes and what does it looks like?
An attempt to automate ops, or why does it was a reinvention of Kubernetes
What does kube consists of?
How to get a Kubernetes?
From docker-compose to c
What is a Helm and why it's difficult without one?
What is "local development on Kubernetes"?
CRD & Operators
Open Ldap Integration and Configuration with Lifray 6.2.LDAP (Lightweight Directory Access Protocol) is a software protocol for enabling anyone to locate organizations, individuals, and other resources such as files and devices in a network, whether on the public Internet or on a corporate intranet
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Containers in depth – Understanding how containers work to better work with c...All Things Open
Presented by: Brent Laster, SAS
Presented at All Things Open 2020
Abstract: Containers are all the rage these days – from Docker to Kubernetes and everywhere in-between. But to get the most out of them it can be helpful to understand how containers are constructed, how they depend and interact with the operating system, and what the differences and interactions are between layers, images, and containers. Join R&D Director, Brent Laster as he does a quick, visual overview of how containers work and how applications such as Docker work with them. Topics to be discussed include:
What containers are and the benefits they provide
How containers are constructed
The differences between layers, images, and containers
What does immutability really mean
The core Linux functionalities that containers are based on
How containers reuse code
The differences between containers and VMs
What Docker really does
The Docker storage drivers
How overlays work
The Open Container Initiative
A good analogy for understanding all of this
Introducing HerdDB - a distributed JVM embeddable database built upon Apache ...StreamNative
We will introduce HerdDB a distributed database written in Java.
We will see how a distributed database can be built using Apache BookKeeper as write-ahead commit log.
Introducing Kafka-on-Pulsar: bring native Kafka protocol support to Apache Pu...StreamNative
Kafka-on-Pulsar has been one of the most anticipated features in the Pulsar ecosystem. The Kafka-on-Pulsar project was initiated by StreamNative and the OVHCloud team quickly joined the project to collaborate on its development. Kafka-on-Pulsar enables Kafka applications to leverage Pulsar’s powerful features, such as streamlined operations with enterprise-grade multi-tenancy, without modifying code.
In this webinar, Sijie Guo, from StreamNative, and Pierre Zemb, from OVHCloud, will introduce KoP and discuss the following:
1. What are the key benefits?
2. What is the protocol handler and how does it work?
3. How KoP is implemented?
4. What are the new use cases it unlocks?
5. Watch a Live Demo!
Web application performance correlates with page views. Find out in this session how to maximize the performance of the OCI8 database extension to build fast, scalable web sites and attract users. Includes discussion of Oracle Database 11.2 and the upcoming PHP OCI8 1.4 extension.
OGh Oracle Fusion Middleware Experience 2016 bij FIGI Zeist
Door Maarten Smeets and Robbrecht van Amerongen, 16-02-2016
Ogh fmw experience 16 februari 2016
AMIS SIG - Introducing Apache Kafka - Scalable, reliable Event Bus & Message ...Lucas Jellema
Introduction of Apache Kafka - the open source platform for real time message queuing and reliable, scalable, distributed event handling and high volume pub/sub implementation.
see GitHub https://github.com/MaartenSmeets/kafka-workshop for the workshop resources.
"[WORKSHOP] K8S for developers", Denis RomanukFwdays
"It seems that perfection is attained, not when there is nothing more to add, but when there is nothing more to take away." - Antoine de Saint Exupéry
We can talk a lot about Kubernetes. But does the whole info is really need for just begining? Let's take away everything, except the really needed, and show a way for ones, who still uses only docker.
Let's consider:
Why do developers need Kubernetes and what does it looks like?
An attempt to automate ops, or why does it was a reinvention of Kubernetes
What does kube consists of?
How to get a Kubernetes?
From docker-compose to c
What is a Helm and why it's difficult without one?
What is "local development on Kubernetes"?
CRD & Operators
Open Ldap Integration and Configuration with Lifray 6.2.LDAP (Lightweight Directory Access Protocol) is a software protocol for enabling anyone to locate organizations, individuals, and other resources such as files and devices in a network, whether on the public Internet or on a corporate intranet
Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala. The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
Containers in depth – Understanding how containers work to better work with c...All Things Open
Presented by: Brent Laster, SAS
Presented at All Things Open 2020
Abstract: Containers are all the rage these days – from Docker to Kubernetes and everywhere in-between. But to get the most out of them it can be helpful to understand how containers are constructed, how they depend and interact with the operating system, and what the differences and interactions are between layers, images, and containers. Join R&D Director, Brent Laster as he does a quick, visual overview of how containers work and how applications such as Docker work with them. Topics to be discussed include:
What containers are and the benefits they provide
How containers are constructed
The differences between layers, images, and containers
What does immutability really mean
The core Linux functionalities that containers are based on
How containers reuse code
The differences between containers and VMs
What Docker really does
The Docker storage drivers
How overlays work
The Open Container Initiative
A good analogy for understanding all of this
Running Airflow Workflows as ETL Processes on Hadoopclairvoyantllc
While working with Hadoop, you'll eventually encounter the need to schedule and run workflows to perform various operations like ingesting data or performing ETL. There are a number of tools available to assist you with this type of requirement and one such tool that we at Clairvoyant have been looking to use is Apache Airflow. Apache Airflow is an Apache Incubator project that allows you to programmatically create workflows through a python script. This provides a flexible and effective way to design your workflows with little code and setup. In this talk, we will discuss Apache Airflow and how we at Clairvoyant have utilized it for ETL pipelines on Hadoop.
An Engine to process big data in faster(than MR), easy and extremely scalable way. An Open Source, parallel, in-memory processing, cluster computing framework. Solution for loading, processing and end to end analyzing large scale data. Iterative and Interactive : Scala, Java, Python, R and with Command line interface.
LuSql: (Quickly and easily) Getting your data from your DBMS into Luceneeby
Need to move your data from your DBMS to Lucene? The recently released LuSql allows you to do this in a single line. LuSql is a high performance, low use barrier application for getting DBMS data into Lucene. This presentation will introduce LuSql, and give a brief tutorial on simple to crazy complicated use cases, including per document sub-queries and out-of-band document transformations. -- Glen Newton, CISTI, National Research Council
Building Deep Learning Workflows with DL4JJosh Patterson
In this session we will take a look at a practical review of what is deep learning and introduce DL4J. We’ll look at how it supports deep learning in the enterprise on the JVM. We’ll discuss the architecture of DL4J’s scale-out parallelization on Hadoop and Spark in support of modern machine learning workflows. We’ll conclude with a workflow example from the command line interface that shows the vectorization pipeline in Canova producing vectors for DL4J’s command line interface to build deep learning models easily.
Real time Analytics with Apache Kafka and Apache SparkRahul Jain
A presentation cum workshop on Real time Analytics with Apache Kafka and Apache Spark. Apache Kafka is a distributed publish-subscribe messaging while other side Spark Streaming brings Spark's language-integrated API to stream processing, allows to write streaming applications very quickly and easily. It supports both Java and Scala. In this workshop we are going to explore Apache Kafka, Zookeeper and Spark with a Web click streaming example using Spark Streaming. A clickstream is the recording of the parts of the screen a computer user clicks on while web browsing.
Apache Spark is a In Memory Data Processing Solution that can work with existing data source like HDFS and can make use of your existing computation infrastructure like YARN/Mesos etc. This talk will cover a basic introduction of Apache Spark with its various components like MLib, Shark, GrpahX and with few examples.
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13. Spring LDAP
“Makes it easier to build Spring-based
applications that use the Lightweight Directory
Access Protocol”
14. Spring LDAP
“Makes it easier to build Spring-based
applications that use the Lightweight Directory
Access Protocol”
15. Spring LDAP
• Rich set of features
–
Template and utility classes
–
Search Filters
–
ODM
–
LDIF Parsing
–
Transaction Management
–
Connection Pooling
–
Unchecked exception hierarchy
• Currently 1.3.2
• 2.0.0 in works
21. Integration Testing LDAP Code
• Integration Testing requirements
• Ability to spin up LDAP servers programmatically
• Programmatically start and stop servers
• We need to load data for each set of tests
• Embedded Servers
• Lightweight in nature
• Quick startup time
• Ease of configuration
• OpenDJ/OpenDS, ApacheDS, UnboundID
22. LdapUnit
• Simplifies LDAP Testing
• Supports three embedded servers
• Provides abstraction for other servers to be plugged in
• Puts LDAP Server in a known state
• Works with Spring LDAP or standalone Java code
• Version 0.6.0
•
Code on GitHub: https://github.com/bava/ldapunit