Presentation on how to move from the Alfresco Search Services product based in Apache Solr to the new Alfresco Search Enterprise integrated with Elasticsearch and Amazon Opensearch.
This document summarizes a presentation about Alfresco Search Services 2.0. Key points include:
- Solr was updated to remove the custom content store and leverage more built-in Solr features like replication and backups. This improved performance and reduced disk usage.
- New date fields were added that break dates down into individual components like year, month, day, etc. to enable more granular search queries.
- Asynchronous maintenance actions were introduced to schedule and retry tasks like reindexing, purging, and fixing index issues in the background.
- Security was enhanced with support for mutual TLS and storing passwords in JVM properties instead of plain text files. Performance tracking and indexing controls
This is the session delivered during the Alfresco Developers Conference in Lisbon, January 2018. Learn all what you need to know to perform a proper backup and disaster recovery strategy. From a single server installation with hundreds of documents to a large deployment with multiple nodes, layers, databases and multi-million documents. What is the best way for each case?
This document discusses backup and disaster recovery strategies for Alfresco. It recommends scheduling regular backups of the Solr and Lucene indexes, database, and file system. Full backups should be done periodically, with incremental backups in between. Backups can be cold (system offline), warm (some services offline), or hot (live system). Restores involve recovering the indexes, database, files and configuration. Planning includes defining recovery objectives for data loss and downtime.
The document provides an overview and best practices for tuning an Alfresco installation for performance. It discusses disabling unused services, limiting folder hierarchies and group nesting, monitoring resources, tuning Solr indexes and caches, and using separate servers for specific tasks like indexing. General tips include testing changes thoroughly before deploying, adjusting sizing for increased usage, and following the standard performance methodology.
Practical information for Alfresco integration with AOS (Sharepoint Protocol), Google Drive, Microsoft 365, ONLYOFFICE and Collabora Online.
Additionally ADW support for ONLYOFFICE is provided by https://github.com/atolcd/adf-onlyoffice-extension#installation
The document discusses best practices for upgrading to Alfresco 6 from a previous version. It recommends backing up the database and content store from the source Alfresco, identifying any customizations, installing the new Alfresco from scratch, restoring the backups, applying customizations, and patching the database in stages if needed through intermediate "halfway" Alfresco instances. It also covers identifying deprecated features, adapting custom code to be compatible with Alfresco 6, monitoring the new installation, and addressing potential issues.
The document provides an overview and best practices for tuning an Alfresco installation. It discusses disabling unused services, limiting group hierarchies, monitoring resources, optimizing Solr configuration, indexing processes, and query caching. General tips include separating custom configurations, testing backups and changes, and using support tools for troubleshooting performance issues.
Alfresco DevCon 2019 (Edinburgh)
"Transforming the Transformers" for Alfresco Content Services (ACS) 6.1 & beyond
https://community.alfresco.com/community/ecm/blog/2019/02/07/alfresco-transform-service-new-with-acs-61
Alfresco provides various content transformation options across the Digital Business Platform (DBP). In this talk, we will explore the new independently-scalable Alfresco Transform Service. This enables a new option for transforms to be asynchronously off-loaded by Alfresco Content Services (ACS).
https://devcon.alfresco.com/speaker/jan-vonka/
This session will provide a guide to Alfresco truststores and keystores. Several live examples will be shown, including the replacement of existing cryptographic stores or certificates. Additionally, a troubleshooting configuration guide for mTLS communication will be provided.
The document discusses performance tuning of Alfresco. It covers JVM tuning including memory and garbage collection settings. It also discusses analyzing garbage collection logs and common problems. The document outlines different cache mechanisms in Alfresco including L1, L2 caches and Hazelcast caching. Tuning caches based on data change frequency and hit ratios is recommended. Finally, the document provides guidance on investigating performance issues by examining logs, threads, databases, storage and Alfresco/Solr configurations and settings.
This document provides an overview of Storage Foundation and Alfresco solutions. It discusses hardware storage concepts including drive types, interfaces, and RAID. It also covers Alfresco storage-related solutions such as the S3 connector, XAM connector, content store selector, and replication capabilities. Partnership solutions from Xenit, Star Storage, and community solutions are also mentioned. The document concludes with best practices around content store, indexes, logs, and backup/recovery.
The objective of this article is to describe what to monitor in and around Alfresco in order to have a good understanding of how the applications are performing and to be aware of potential issues.
Alfresco DevCon 2019 Performance Tools of the TradeLuis Colorado
Discover tips and tools that will help you to keep your Alfresco environment in shape. Most of the best tools are free or Open Source, and this presentation will guide you through the steps to improve the performance of your system.
Jose portillo dev con presentation 1138Jose Portillo
This document discusses best practices for implementing Solr sharding in Alfresco. It defines what sharding is and explains that it involves splitting a single index into multiple parts or shards to improve search performance, distribute indexing load, and scale horizontally. The document outlines different types of sharding, considerations for the number of shards, high availability, backup procedures, and common configuration settings when using Solr sharding in Alfresco.
Features of Alfresco Search Services.
Features of Alfresco Search & Insight Engine.
Future plans for the product
---
DEMO GUIDE
[1] Queries: Share > Node Browser
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
[2] Queries: Share > JS Console
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_FTS_ALFRESCO,
"ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'");
logger.log(ResultSet.getNodeRefs());
---
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_CMIS_ALFRESCO,
"SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')");
logger.log(ResultSet.getNodeRefs());
---
var def =
{
query: "ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'",
language: "fts-alfresco"
};
var results = search.query(def);
logger.log(results);
[3] Queries: api-explorer
{
"query": {
"language": "afts",
"query": "ASPECT:\"cm:titled\" AND cm:title:\"*Sample\" AND TEXT:\"code\""
}
}
---
{
"query": {
"language": "cmis",
"query": "SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')"
}
}
[4] Queries: CMIS Workbench > Groovy Console
rs = session.query("SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')", false)
for (res in rs) {
println(res.getPropertyValueById('cmis:objectId'))
}
[5] Queries: SOLR Web Console > (alfresco) > Query
/afts
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
---
/cmis
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
---
The document describes how to navigate to and interact with the recycle bin interface in Alfresco:
1. The recycle bin can be accessed from the user dashboard or from within a specific site.
2. Items in the recycle bin are filtered based on the site context or lack thereof.
3. Recent items deleted are also visible without accessing the recycle bin directly.
4. Individual or multiple documents can be selected and moved to the recycle bin to delete.
This document discusses reindexing large repositories in Alfresco. It covers the Alfresco SOLR architecture, the indexing process, scenarios that require reindexing, alternatives for deployment during reindexing to minimize downtime, monitoring and profiling tools, and future improvements planned for Search Services 2.0 to optimize indexing performance. Benchmark results are presented showing improvements that reduced reindexing time for 1.2 billion documents from 21 days to 10 days.
Alfresco 5.2 Introduces New Public REST APIs
For an update, please see: https://www.slideshare.net/jvonka/exciting-new-alfresco-apis
https://www.meetup.com/Alfresco-Meetups/events/236987848/
An overview of the new and enhanced APIs will be discussed and some of the key endpoints demonstrated via Postman so that by the time you leave you should have enough knowledge to create a simple client or integration.
These APIs will also be the foundation for new clients developed for the Alfresco Digital Business Platform.
We'll have a sneak peek at what's coming next and leave plenty of time for questions, feedback and open discussion.
This deck includes a description of the Transform Service available for Alfresco 7.4.0.
Secure configuration sample, relying on mTLS, is also discussed.
Deep Dive: Alfresco Core Repository (... embedded in a micro-services style a...J V
Alfresco Summit 2014 (London)
Though best practice is to leverage Alfresco through the well defined API's, it can be useful to understand the internals of the repository so that your development efforts are the most effective. A deep understanding of the repository will help you to evaluate performance bottlenecks, look for bugs, or make contributions. This session provides an overview of the repository internals, including the major components, the key services, subsystems, and database. We then provide an example where we leverage the repository in a micro-service architecture while building Alfresco's future cloud products and show how the different parts of the repository interact to fulfill requests.
http://summit.alfresco.com/london/sessions/diving-deep-alfresco-repository
https://www.youtube.com/watch?v=TAE9UjC0xxc
Support material for the blog post available in https://hub.alfresco.com/t5/alfresco-content-services-blog/alfresco-7-3-upgrading-to-transform-core-3-0-0/ba-p/315364
This presentation describes the differences between Alfresco Transform Engine and Alfresco Transform Core 3.0.0.
Deployment, configuration and extension topics for Transform Core are covered.
The document discusses Alfresco security best practices. It covers topics such as hardening the network and operating system, implementing firewall rules, assessing vulnerabilities, and compliance with standards. Best practices for the Alfresco implementation include staying current with patches, enforcing strong permissions, and deleting content when it is removed. The document provides an overview of security considerations for the Alfresco architecture, mobile access, and other deployment aspects.
Alfresco devcon 2019: How to track user activities without using the audit fu...konok
There are number of customers who have requirements to start using the audit function, and many of them are concerned it would affect the entire Alfresco repository performance, which maybe true. Actually we don’t have to enable it since most of the user activities are already tracked by the other out of the function named activity_feed. That is already running. I would like to talk about what the differences are, what event items we can get for each of them from the APIs, and Database point of view. And how we should maintain the records to prevent them from having the performance issue.
This document introduces the Alfresco Public API, which addresses limitations of Alfresco's existing API. The vision is for a single API that works across cloud and on-premise. The document explains how to get started with the API, including understanding OAuth2 authentication, registering an app, using a CMIS library, and making API calls. It provides an overview of entities and operations supported by the API.
Moving Gigantic Files Into and Out of the Alfresco RepositoryJeff Potts
This talk is a technical case study showing show Metaversant solved a problem for one of their clients, Noble Research Institute. Researchers at Noble deal with very large files which are often difficult to move into and out of the Alfresco repository.
The document discusses Netflix's use of Elasticsearch for querying log events. It describes how Netflix evolved from storing logs in files to using Elasticsearch to enable interactive exploration of billions of log events. It also summarizes some of Netflix's best practices for running Elasticsearch at scale, such as automatic sharding and replication, flexible schemas, and extensive monitoring.
n this session, we'll simplify the complexities of configuring and troubleshooting mutual TLS (mTLS) within Alfresco environments. Attendees will gain practical insights into certificate management, trust validation, and common challenges encountered during configuration.
We'll showcase and provide custom tools for troubleshooting during the session. These tools can be used with ZIP, Ansible, Docker and Kubernetes deployments.
Event description available in https://hub.alfresco.com/t5/news-announcements/ttl-157-troubleshooting-made-easy-deciphering-alfresco-s-mtls/ba-p/319735/jump-to/first-unread-message
This session will provide a guide to Alfresco truststores and keystores. Several live examples will be shown, including the replacement of existing cryptographic stores or certificates. Additionally, a troubleshooting configuration guide for mTLS communication will be provided.
The document discusses performance tuning of Alfresco. It covers JVM tuning including memory and garbage collection settings. It also discusses analyzing garbage collection logs and common problems. The document outlines different cache mechanisms in Alfresco including L1, L2 caches and Hazelcast caching. Tuning caches based on data change frequency and hit ratios is recommended. Finally, the document provides guidance on investigating performance issues by examining logs, threads, databases, storage and Alfresco/Solr configurations and settings.
This document provides an overview of Storage Foundation and Alfresco solutions. It discusses hardware storage concepts including drive types, interfaces, and RAID. It also covers Alfresco storage-related solutions such as the S3 connector, XAM connector, content store selector, and replication capabilities. Partnership solutions from Xenit, Star Storage, and community solutions are also mentioned. The document concludes with best practices around content store, indexes, logs, and backup/recovery.
The objective of this article is to describe what to monitor in and around Alfresco in order to have a good understanding of how the applications are performing and to be aware of potential issues.
Alfresco DevCon 2019 Performance Tools of the TradeLuis Colorado
Discover tips and tools that will help you to keep your Alfresco environment in shape. Most of the best tools are free or Open Source, and this presentation will guide you through the steps to improve the performance of your system.
Jose portillo dev con presentation 1138Jose Portillo
This document discusses best practices for implementing Solr sharding in Alfresco. It defines what sharding is and explains that it involves splitting a single index into multiple parts or shards to improve search performance, distribute indexing load, and scale horizontally. The document outlines different types of sharding, considerations for the number of shards, high availability, backup procedures, and common configuration settings when using Solr sharding in Alfresco.
Features of Alfresco Search Services.
Features of Alfresco Search & Insight Engine.
Future plans for the product
---
DEMO GUIDE
[1] Queries: Share > Node Browser
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
[2] Queries: Share > JS Console
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_FTS_ALFRESCO,
"ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'");
logger.log(ResultSet.getNodeRefs());
---
var ctxt = Packages.org.springframework.web.context.ContextLoader.getCurrentWebApplicationContext();
var searchService = ctxt.getBean('SearchService', org.alfresco.service.cmr.search.SearchService);
var StoreRef = Packages.org.alfresco.service.cmr.repository.StoreRef;
var SearchService = Packages.org.alfresco.service.cmr.search.SearchService;
var ResultSet = Packages.org.alfresco.repo.search.impl.lucene.SolrJSONResultSet;
ResultSet =
searchService.query(
StoreRef.STORE_REF_WORKSPACE_SPACESSTORE,
SearchService.LANGUAGE_CMIS_ALFRESCO,
"SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')");
logger.log(ResultSet.getNodeRefs());
---
var def =
{
query: "ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'",
language: "fts-alfresco"
};
var results = search.query(def);
logger.log(results);
[3] Queries: api-explorer
{
"query": {
"language": "afts",
"query": "ASPECT:\"cm:titled\" AND cm:title:\"*Sample\" AND TEXT:\"code\""
}
}
---
{
"query": {
"language": "cmis",
"query": "SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')"
}
}
[4] Queries: CMIS Workbench > Groovy Console
rs = session.query("SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')", false)
for (res in rs) {
println(res.getPropertyValueById('cmis:objectId'))
}
[5] Queries: SOLR Web Console > (alfresco) > Query
/afts
ASPECT:'cm:titled' AND cm:title:'*Sample*' AND TEXT:'code'
---
/cmis
SELECT * FROM cm:titled WHERE cm:title like '%Sample%' AND CONTAINS('code')
---
The document describes how to navigate to and interact with the recycle bin interface in Alfresco:
1. The recycle bin can be accessed from the user dashboard or from within a specific site.
2. Items in the recycle bin are filtered based on the site context or lack thereof.
3. Recent items deleted are also visible without accessing the recycle bin directly.
4. Individual or multiple documents can be selected and moved to the recycle bin to delete.
This document discusses reindexing large repositories in Alfresco. It covers the Alfresco SOLR architecture, the indexing process, scenarios that require reindexing, alternatives for deployment during reindexing to minimize downtime, monitoring and profiling tools, and future improvements planned for Search Services 2.0 to optimize indexing performance. Benchmark results are presented showing improvements that reduced reindexing time for 1.2 billion documents from 21 days to 10 days.
Alfresco 5.2 Introduces New Public REST APIs
For an update, please see: https://www.slideshare.net/jvonka/exciting-new-alfresco-apis
https://www.meetup.com/Alfresco-Meetups/events/236987848/
An overview of the new and enhanced APIs will be discussed and some of the key endpoints demonstrated via Postman so that by the time you leave you should have enough knowledge to create a simple client or integration.
These APIs will also be the foundation for new clients developed for the Alfresco Digital Business Platform.
We'll have a sneak peek at what's coming next and leave plenty of time for questions, feedback and open discussion.
This deck includes a description of the Transform Service available for Alfresco 7.4.0.
Secure configuration sample, relying on mTLS, is also discussed.
Deep Dive: Alfresco Core Repository (... embedded in a micro-services style a...J V
Alfresco Summit 2014 (London)
Though best practice is to leverage Alfresco through the well defined API's, it can be useful to understand the internals of the repository so that your development efforts are the most effective. A deep understanding of the repository will help you to evaluate performance bottlenecks, look for bugs, or make contributions. This session provides an overview of the repository internals, including the major components, the key services, subsystems, and database. We then provide an example where we leverage the repository in a micro-service architecture while building Alfresco's future cloud products and show how the different parts of the repository interact to fulfill requests.
http://summit.alfresco.com/london/sessions/diving-deep-alfresco-repository
https://www.youtube.com/watch?v=TAE9UjC0xxc
Support material for the blog post available in https://hub.alfresco.com/t5/alfresco-content-services-blog/alfresco-7-3-upgrading-to-transform-core-3-0-0/ba-p/315364
This presentation describes the differences between Alfresco Transform Engine and Alfresco Transform Core 3.0.0.
Deployment, configuration and extension topics for Transform Core are covered.
The document discusses Alfresco security best practices. It covers topics such as hardening the network and operating system, implementing firewall rules, assessing vulnerabilities, and compliance with standards. Best practices for the Alfresco implementation include staying current with patches, enforcing strong permissions, and deleting content when it is removed. The document provides an overview of security considerations for the Alfresco architecture, mobile access, and other deployment aspects.
Alfresco devcon 2019: How to track user activities without using the audit fu...konok
There are number of customers who have requirements to start using the audit function, and many of them are concerned it would affect the entire Alfresco repository performance, which maybe true. Actually we don’t have to enable it since most of the user activities are already tracked by the other out of the function named activity_feed. That is already running. I would like to talk about what the differences are, what event items we can get for each of them from the APIs, and Database point of view. And how we should maintain the records to prevent them from having the performance issue.
This document introduces the Alfresco Public API, which addresses limitations of Alfresco's existing API. The vision is for a single API that works across cloud and on-premise. The document explains how to get started with the API, including understanding OAuth2 authentication, registering an app, using a CMIS library, and making API calls. It provides an overview of entities and operations supported by the API.
Moving Gigantic Files Into and Out of the Alfresco RepositoryJeff Potts
This talk is a technical case study showing show Metaversant solved a problem for one of their clients, Noble Research Institute. Researchers at Noble deal with very large files which are often difficult to move into and out of the Alfresco repository.
The document discusses Netflix's use of Elasticsearch for querying log events. It describes how Netflix evolved from storing logs in files to using Elasticsearch to enable interactive exploration of billions of log events. It also summarizes some of Netflix's best practices for running Elasticsearch at scale, such as automatic sharding and replication, flexible schemas, and extensive monitoring.
n this session, we'll simplify the complexities of configuring and troubleshooting mutual TLS (mTLS) within Alfresco environments. Attendees will gain practical insights into certificate management, trust validation, and common challenges encountered during configuration.
We'll showcase and provide custom tools for troubleshooting during the session. These tools can be used with ZIP, Ansible, Docker and Kubernetes deployments.
Event description available in https://hub.alfresco.com/t5/news-announcements/ttl-157-troubleshooting-made-easy-deciphering-alfresco-s-mtls/ba-p/319735/jump-to/first-unread-message
How leading financial services organisations are winning with techMongoDB
Financial services organizations are adopting new technologies like cloud computing, big data, artificial intelligence, blockchain, and Internet of Things to improve business agility, reduce costs, and gain new insights from data. MongoDB is helping in areas like cloud data strategy, blockchain applications, mainframe offloading, and powering Internet of Things applications by providing a flexible, scalable database that can be deployed across on-premises, private cloud, and public cloud environments.
Elasticsearch is recommended to create an archive to search ACM/BPM case and process data that is up to 7 years old. Elasticsearch allows storing and searching large volumes of data quickly and in near real-time. It was tested by uploading over 40,000 documents from a use case involving tweets. This allowed full-text search of case data and searching within office documents. While Elasticsearch is schema-less and easy to evolve with Oracle releases, its limitations regarding transactions and an overview of case history would need to be considered.
The document discusses various topics related to developing successful cloud services, including microservices architecture, Platform as a Service (PaaS), multi-tenancy, and DevOps. It defines a successful service as one that offers subscription-based delivery according to an international survey. Characteristics of successful services include automation, monetization through subscriptions, implementation using techniques like mashups and multi-tenancy, and using microservices focusing on separation of concerns. The document outlines a journey to developing successful services and discusses related topics like operational automation, revenue generation, implementation approaches, and microservices.
Scaling the Content Repository with ElasticsearchNuxeo
This talk will explain how to leverage Elasticsearch capabilities to make your content repository scale to the sky while still relying on standard SQL based technologies and ensuring data security and integrity. The design choices behind this hybrid Elasticsearch / PgSQL architecture will be discussed and the technical integration with Elasticsearch will be demonstrated.
Watch the recorded webinar: http://www.nuxeo.com/resources/scaling-the-document-repository-with-elasticsearch/
MicroStrategy on Amazon Web Services (AWS) CloudCCG
The document discusses MicroStrategy cloud offerings on Amazon Web Services (AWS). It describes MicroStrategy as providing a comprehensive enterprise analytics platform in the cloud, including business intelligence, analytical databases, and data integration. The platform is optimized for performance and scalability using best-of-breed technologies. Customers benefit from experts managing and monitoring the analytics platform.
Webinar: Unlock the Power of Streaming Data with Kinetica and ConfluentKinetica
The volume, complexity and unpredictability of streaming data is greater than ever before. Innovative organizations require instant insight from streaming data in order to make real-time business decisions. A new technology stack is emerging as traditional databases and data lakes are challenged to analyze streaming data and historical data together in real time.
Confluent Platform, a more complete distribution of Apache Kafka®, works with Kinetica’s GPU-accelerated engine to transform data on the wire, instantly ingest data and analyze it at the same time. With the Kinetica Connector, end users can ingest streaming data from sensors, mobile apps, IoT devices and social media via Kafka into Kinetica’s database to combine it with data at rest. Together, the technologies deliver event-driven and real-time data to power the speed of thought analytics, improve customer experience, deliver targeted marketing offers and increase operational efficiencies.
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsInformatica
This presentation is geared toward enterprise architects and senior IT leaders looking to drive more value from their data by learning about cloud data lake management.
As businesses focus on leveraging big data to drive digital transformation, technology leaders are struggling to keep pace with the high volume of data coming in at high speed and rapidly evolving technologies. What's needed is an approach that helps you turn petabytes into profit.
Cloud data lakes and cloud data warehouses have emerged as a popular architectural pattern to support next-generation analytics. Informatica's comprehensive AI-driven cloud data lake management solution natively ingests, streams, integrates, cleanses, governs, protects and processes big data workloads in multi-cloud environments.
Please leave any questions or comments below.
IBM Omnifind Enterprise Portal Seach To Improve ProductivityFrancis Ricalde
The document discusses IBM's OmniFind Enterprise Edition product which improves productivity by allowing knowledge workers to more easily find the right information at the right time in the proper context. It provides enterprise-wide search capabilities that go beyond basic keyword search and integrates with WebSphere Portal. Key features include searching both inside and outside portal repositories, advanced search features, multiple language support, and high availability.
Accelerating analytics in the cloud with the Starburst Presto + Alluxio stackAlluxio, Inc.
Alluxio Tech Talk
January 21, 2020
Speakers:
Matt Fuller, Starburst
Dipti Borkar, Alluxio
With the advent of the public clouds and data increasingly siloed across many locations -- on premises and in the public cloud -- enterprises are looking for more flexibility and higher performance approaches to analyze their structured data.
Join us for this tech talk where we’ll introduce the Starburst Presto, Alluxio, and cloud object store stack for building a highly-concurrent and low-latency analytics platform. This stack provides a strong solution to run fast SQL across multiple storage systems including HDFS, S3, and others in public cloud, hybrid cloud, and multi-cloud environments. You’ll learn more about:
- The architecture of Presto, an open source distributed SQL engine
- How the Presto + Alluxio stack queries data from cloud object storage like S3 for faster and more cost-effective analytics
- Achieving data locality and cross-job caching with Alluxio regardless of where data is persisted
Ben King, a Solutions Engineer from Atlassian, and Shiva N, an AWS Solution Architect, gave a presentation on deploying Atlassian's Data Center products on AWS. They discussed how using AWS provides flexibility, resiliency and ability to scale. The presentation covered preparing, deploying and refining a Data Center implementation on AWS, including using services like EC2, ELB, RDS, EFS, CloudFormation and CloudWatch. The goal was to show how running Data Center on AWS allows organizations to focus on their core mission rather than infrastructure.
Activating your Data, with a Faster Path to Results - Aaron Murphy, CommvaultLucidworks
Commvault is a data management software company that manages large amounts of customer data across various platforms and locations. The document discusses Commvault's Activate product, which aims to provide faster access to data through search and analytics capabilities. Activate allows users to search indexed data, access copies of data on-demand for various uses like testing and development, and derive insights through features like clustering and natural language processing. It provides a single platform to manage data across its lifecycle and help users make more informed decisions.
Alluxio Data Orchestration Platform for the CloudShubham Tagra
Alluxio originated as an open source project at UC Berkeley to orchestrate data for cloud applications by providing a unified namespace and intelligent data caching across multiple data sources. It provides consistent high performance for analytics and AI workloads running on object stores by caching frequently accessed data in memory and tiering data to flash/disk based on policies. Alluxio can also enable hybrid cloud environments by allowing on-premises workloads to burst to public clouds without data movement through "zero-copy" access to remote data.
MongoDB .local Chicago 2019: MongoDB Atlas JumpstartMongoDB
Join this talk and test session with MongoDB Support where you'll go over the configuration and deployment of an Atlas environment. Setup a service that you can take back in a production-ready state and prepare to unleash your inner genius.
This document discusses strategies for migrating existing enterprise IT solutions to the cloud. It begins by outlining the typical adoption stages companies go through with new technologies like virtualization and cloud computing. It then provides examples of how companies like Shell, GE, Dole Foods, and the New York Times have benefited from migrating applications and workloads to AWS. Finally, it discusses additional AWS services and solutions that can help companies at various stages of their cloud migration journey.
Cloud Native Applications on OpenShiftSerhat Dirik
This document discusses cloud native development and DevOps using OpenShift Container Platform. It begins by defining cloud native as involving both application architecture and the development, deployment and management processes used. It then discusses how containers evolve application delivery and how container platforms are part of the DevOps tool kit. The document outlines the path to DevOps, emphasizing culture, automation and using the right platform. It also notes that DevOps and containers often go hand in hand, with many DevOps adopters using containers. The document then discusses various capabilities of OpenShift and how it supports cloud native development.
Accelerate Your OpenStack Deployment Presented by SolidFire and Red HatNetApp
What would you do if your storage infrastructure weren't a barrier to your cloud? In 'Accelerate your OpenStack Deployment' you'll see how Agile Infrastructure (AI) simplifies deployments and dynamic IT-as-a-Service-style offerings, such as self-service test & development or production-ready private clouds. AI frees you to think up the stack and stop worrying about your infrastructure.
Presentación de Oracle Database Cloud Service como servicio en la nube, tema de interés puntero puesto que actualmente la dirección de las empresas va en ese punto de llevar sus bases de datos y aplicaciones a la nube.
Solved: Your Most Dreaded Test Environment Management ChallengesDevOps.com
Modern application delivery pipelines rely on series of increasingly complex test environments. Manual processes and ad-hoc management typically lead to misconfigured environments, scheduling conflicts, and project delays. You know automation and transitioning resources to the cloud can help, but don’t know where to start and unclear how to prove the value.
Join Amazon Web Services (AWS) and Plutora in this joint presentation on managing test environments and transitioning them to the cloud. Learn secrets about
Why you need a single source of truth to smooth out scheduling kinks.
How to improve configuration tracking and management to enhance validation efforts.
The best way to manage the complexity of large-scale test environments.
How to reduce costs and eliminate conflicts by identifying and moving environments to the cloud.
Sample implementation of an Alfresco MCP Server connected to a local AI. Source code available in https://github.com/aborroy/alfresco-mcp-poc
Alfresco AI Webinar, creating a RAG system from scratchAngel Borroy López
Slides for the Webinar "Enhance your Alfresco solution with Generative AI" at https://events.hyland.com/events/details/hyland-hyland-events-presents-webinar-enhance-your-alfresco-solution-with-generative-ai/
Source code and laboratories available in https://github.com/aborroy/alfresco-ai-framework
Alfresco TechQuest 2024
Alfresco Container-based Installation and Configuration Best Practices
Practices available in https://github.com/aborroy/alfresco-containers
Using Generative AI and Content Service Platforms togetherAngel Borroy López
Slides for FOSDEM 2024 session: https://fosdem.org/2024/schedule/event/fosdem-2024-1858-using-generative-ai-and-content-service-platforms-together/
Describes a framework that provides GenAI operations for documents using a REST API. LLMs are stored locally, so no data is sent away.
It also includes a sample integration with a Content Service Platform (Alfresco), to enhance documents and pictures context information.
Session recording is available in https://ftp.fau.de/fosdem/2024/h2213/fosdem-2024-1858-using-generative-ai-and-content-service-platforms-together.av1.webm
Enhancing Document-Centric Features with On-Premise Generative AI for Alfresc...Angel Borroy López
Oractical guide on integrating Alfresco Community with On-Premise Generative AI.
This session outlines the steps to enhance both existing and new content, demonstrating features such as classification, summarization, translation, and prompting. But this framework allows you to include additional features.
Source code is available in https://github.com/aborroy/alfresco-genai
This presentation describes different methods to produce Alfresco Docker Assets for Docker Compose deployment.
From the previous methods (based in Python, Yeoman and Docker) to the Docker Init with Templates approach.
The recent launch of the Docker Init command has significantly simplified the process of generating Dockerfiles and Docker Compose templates for containerized applications. This presentation aims to explore the evolution of Docker deployment resources generation process, comparing its approach prior to the Docker Init command release and discussing the way forward. Before the introduction of the Docker Init command, I've been delivering some projects like the "alfresco-docker-installer"[1], which provides custom scripts and configurations to streamline the process of deploying Alfresco in Docker containers. These kinds of projects use tools like Yeoman or raw Python. There are some differences between a Docker Template for a technology (Go, Python, Node or Rust) and a Docker Template for a product (like Alfresco) that may be covered when generating automatic deployment resources. This presentation will delve into the methodologies employed before the Docker Init command:
Custom Dockerfile Extension
Compose Template for a complete product deployment, including a set of services like the database, content repository, search engine, or web application
Configuration Management, including techniques such as environment variable injection, externalized configuration files, and configuration overrides
Following the release of the Docker Init command, this presentation will provide insights into the possibilities and advantages it brings to complex products Docker deployment process. A PoC of a Docker Plugin, including this product-oriented approach for docker init, will be demoed live. >> Note that the Open Source Alfresco product is used only to explain the concepts of building a Docker Compose generator with a real example.
This presentation describes how to use Podman to replace Docker in the Alfresco 7.4.0 development process.
Alfresco platform is built using containerization technology. Alfresco can utilize containerization platforms like Podman, which provide the necessary tools and infrastructure to create, manage, and run containers.
Podman is presented as an alternative to Docker. Both Docker and Podman can be used effectively for Alfresco development. So consider your familiarity with the tools, preferred workflow, ecosystem support, security requirements, and any specific performance considerations to make the best choice for your Alfresco development needs.
CSP: Evolución de servicios de código abierto en un mundo Cloud NativeAngel Borroy López
Presentación realizada en Openexpo Europe 2023:
https://openexpoeurope.com/es/session/cuando-hyland-encontro-a-alfresco-evolucion-de-servicios-de-codigo-abierto-en-un-mundo-cloud-native/
Presenta una visión evolutiva de las plataformas de gestión documental: ECM, CSP y Cloud Native.
Incluye información relevante de los productos Alfresco, Nuxeo y Hyland Experience.
This presentation describes how to use the BPM Engine included with Alfresco ACS repository.
All the different APIs are covered: Workflow Console UI, REST API and Java API.
Este documento proporciona recursos para aprender Docker, incluyendo documentación, libros, videos de YouTube y la comunidad Docker. Explica cómo instalar Docker en Windows, Mac y Linux, y cubre herramientas como Docker Desktop y Docker Hub. También describe los planes de suscripción disponibles para Docker.
Introducción a Amazon Web Services realizada en las XXI NEOCOM organizadas por la AATUZ.
La charla puede ser vista en https://youtu.be/CO-Sbv2g3EI
A practical introduction to Apache Solr.
Slides for NeoCom 2020 days at University of Zaragoza.
https://eina.unizar.es/noticias/neocom-2020
Docker 101 - Zaragoza Docker Meetup - Universidad de ZaragozaAngel Borroy López
This document provides an introduction to Docker presented at a Docker Zaragoza Meetup. It discusses Docker Engine, images and containers, Docker architecture, creating images with Dockerfiles, sharing images with Docker registries like Docker Hub, and hands-on exercises using Docker Classroom and Play with Docker. The presentation introduces key Docker concepts and components to help attendees discover Docker and get started using it.
The document discusses how to write Alfresco addons that last a long time. It covers different technologies used in Alfresco over time, including the Alfresco Developer Framework (ADF), workflows, integrations, extension points, and best practices. The key to writing enduring addons is to use extension points and avoid private/deprecated APIs, and to transition technologies like actions and workflows to newer approaches like microservices and the Alfresco Content Application.
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
Email: [email protected]
Phone: +1(630) 349 2411
Website: https://www.fexle.com/blogs/agentexchange-an-ultimate-guide-for-salesforce-consultants-businesses/?utm_source=slideshare&utm_medium=pptNg
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
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"YouTube by Click" likely refers to the ByClick Downloader software, a video downloading and conversion tool, specifically designed to download content from YouTube and other video platforms. It allows users to download YouTube videos for offline viewing and to convert them to different formats.
How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
How can one start with crypto wallet development.pptxlaravinson24
This presentation is a beginner-friendly guide to developing a crypto wallet from scratch. It covers essential concepts such as wallet types, blockchain integration, key management, and security best practices. Ideal for developers and tech enthusiasts looking to enter the world of Web3 and decentralized finance.
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
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13. SCALING UP : INDEXING
content NoC < 10
Increasing the number of consumers doesn’t help
Number of Pending Messages +++
metadata NoC++
Increase the number of metadata consumers
Search Engine Resources++
Increase RAM / CPU of Cluster
Alternatively, add a new node to the Cluser
(shards are managed internally)
mediation NoC++
Increase the number of mediation consumers
14. SCALING UP : SEARCHING
https://www.elastic.co/guide/en/elasticsearch/reference/current/tune-for-search-speed.html
https://opensearch.org/docs/latest/search-plugins/knn/performance-tuning/#search-performance-tuning
§ Configure HEAP with ES_HEAP_SIZE
• Avoid using directly -Xms -Xmx
• Leave ½ of the memory available to Lucene
§ Reduce swapping
• Using bootstrap.mlockall:true property prevents JVM to swap
§ Set the right buffer size for indexing with
indices.memory.index_buffer_size
• Each Shard requires around 512 mb but increasing it doesn’t help
15. SCALING UP : REINDEXING WITH REMOTE PARTITIONS
alfresco-elasticsearch-reindexing
alfresco-elasticsearch-reindexing
alfresco-elasticsearch-reindexing
alfresco-activemq
MANAGER
DB Schema Validation
Partition creation
Reindexing
Database
WORKER 1
Read partition
Index nodes
WORKER N
Read partition
Index nodes
Alfresco
Database
Produce partition requests >
< Consume workers replies
…
< partition
< partition
reply >
reply >
Partition
By ID Range
By Date Range
18. WHY TO ADOPT SEARCH ENTERPRISE
§ Supporting Elasticsearch and OpenSearch out-of-the-box products
§ Documents and values are available for searching sooner
§ Re-indexing large repositories is much faster, moving the scale of
time from days to hours
§ Scaling up the search engine is easier, and it can be almost
transparent when using managed services
§ Cloud deployment based in Kubernetes is better supported
§ Alfresco Search products based in SOLR are currently in
maintenance mode
19. DESIGNING YOUR PATH TO SEARCH ENTERPRISE
Upgraded
ACS
Compatibility
Existing
ACS
ACS >= 7.1
Upgrade
ACS
Rewrite
queries
Downtime
Parallel
Indexing
Unsupported Features Supported Platforms Zero Downtime Upgrade
20. COMPATIBILITY VERIFICATION
Review Unsupported Features documentation
§ Field Queries like DBID, TXID, ACLID, ANCESTOR or FTSSTATUS
§ SQL query language using JDBC Driver
§ Data types like any, assocref, locale and qname
Audit your ACS Deployment
§ Build a query catalog for your use case
§ Approach using the Audit Subsystem is available in
• https://github.com/AlfrescoLabs/alfresco-query-catalog-builder
Run a dry run on a testing environment using Search Enterprise with
your data and your apps