Programming Tools and Techniques #369 - The MessagePack Project
•
3 likes•2,005 views
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Report
Share
Report
Share
Download to read offline
Recommended
分散Key-valueストアkumofsの思想と設計
丸レクセミナー2010
分散Key-valueストア「kumofs」について紹介いたします。近年では、スケーラビリティを重視した分散データストアが数多く登場してきました。その中でkumofsは、特に可用性の高さや動的な運用のしやすさを重視しており、また、高い単体性能を誇ります。このセッションではkumofsの特性についてご紹介すると共に、稼働中のサーバの追加やサーバ故障時の復旧方法などのデモを交えながら、kumofsの運用について具体的に紹介いたします。
ずばり動く！kumofs と ずばり動かないケース
This document is a technical summary of Kumofs, an open-source distributed key-value store. It shows Kumofs outperforming Memcached on throughput tests, handling over 3 million requests per second. Kumofs uses consistent hashing to distribute data across server nodes, and can scale horizontally by adding more servers. It also demonstrates high performance on Linux servers with Intel and AMD CPUs.
MessagePack Rakuten Technology Conference 2010
MessagePack is a binary serialization format that is compact and fast. It works with many programming languages and is used for communication between processes and data storage. It enables building high performance applications including real-time messaging systems. MessagePack implementations support asynchronous RPC where clients can make multiple concurrent calls to servers using shared event loops to improve efficiency.
Fluentd - Set Up Once, Collect More
This document summarizes Sadayuki Furuhashi's background and open source projects, and provides an overview of Fluentd. Fluentd is an open source data collection tool that allows filtering, buffering, and routing logs and event data to various outputs such as databases, cloud services, and analysis systems. It has a simple core with plugins that provide extensibility and features like high availability, load balancing, and more.
Presto+MySQLで分散SQL
This document discusses Presto, an open source distributed SQL query engine for interactive analysis of large datasets. It describes Presto's architecture including its coordinator, connectors, workers and storage plugins. Presto allows querying of multiple data sources simultaneously through its connector plugins for systems like Hive, Cassandra, PostgreSQL and others. Queries are executed in a pipelined fashion without disk I/O or waiting between stages for improved performance.
NoSQL afternoon in Japan Kumofs & MessagePack
Sadayuki Furuhashi created Kumofs, a distributed key-value store, and MessagePack, a cross-language object serialization library. Kumofs is optimized for low latency with zero-hop reads and no single points of failure. It scales out linearly as servers are added without impacting applications. MessagePack is a compact binary format like JSON used for cross-language communication. MessagePack-RPC is a cross-language messaging library that uses an asynchronous, pipelined protocol over an event-driven I/O model.
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container Era discusses how to effectively collect and analyze logs and metrics in microservices-based container environments. It introduces Fluentd as a centralized log collection service that supports pluggable input/output, buffering, and aggregation. Fluentd allows collecting logs from containers and routing them to storage systems like Kafka, HDFS and Elasticsearch. It also supports parsing, filtering and enriching log data through plugins.
Recommended
分散Key-valueストアkumofsの思想と設計
丸レクセミナー2010
分散Key-valueストア「kumofs」について紹介いたします。近年では、スケーラビリティを重視した分散データストアが数多く登場してきました。その中でkumofsは、特に可用性の高さや動的な運用のしやすさを重視しており、また、高い単体性能を誇ります。このセッションではkumofsの特性についてご紹介すると共に、稼働中のサーバの追加やサーバ故障時の復旧方法などのデモを交えながら、kumofsの運用について具体的に紹介いたします。
ずばり動く！kumofs と ずばり動かないケース
This document is a technical summary of Kumofs, an open-source distributed key-value store. It shows Kumofs outperforming Memcached on throughput tests, handling over 3 million requests per second. Kumofs uses consistent hashing to distribute data across server nodes, and can scale horizontally by adding more servers. It also demonstrates high performance on Linux servers with Intel and AMD CPUs.
MessagePack Rakuten Technology Conference 2010
MessagePack is a binary serialization format that is compact and fast. It works with many programming languages and is used for communication between processes and data storage. It enables building high performance applications including real-time messaging systems. MessagePack implementations support asynchronous RPC where clients can make multiple concurrent calls to servers using shared event loops to improve efficiency.
Fluentd - Set Up Once, Collect More
This document summarizes Sadayuki Furuhashi's background and open source projects, and provides an overview of Fluentd. Fluentd is an open source data collection tool that allows filtering, buffering, and routing logs and event data to various outputs such as databases, cloud services, and analysis systems. It has a simple core with plugins that provide extensibility and features like high availability, load balancing, and more.
Presto+MySQLで分散SQL
This document discusses Presto, an open source distributed SQL query engine for interactive analysis of large datasets. It describes Presto's architecture including its coordinator, connectors, workers and storage plugins. Presto allows querying of multiple data sources simultaneously through its connector plugins for systems like Hive, Cassandra, PostgreSQL and others. Queries are executed in a pipelined fashion without disk I/O or waiting between stages for improved performance.
NoSQL afternoon in Japan Kumofs & MessagePack
Sadayuki Furuhashi created Kumofs, a distributed key-value store, and MessagePack, a cross-language object serialization library. Kumofs is optimized for low latency with zero-hop reads and no single points of failure. It scales out linearly as servers are added without impacting applications. MessagePack is a compact binary format like JSON used for cross-language communication. MessagePack-RPC is a cross-language messaging library that uses an asynchronous, pipelined protocol over an event-driven I/O model.
Logging for Production Systems in The Container Era
Logging for Production Systems in The Container Era discusses how to effectively collect and analyze logs and metrics in microservices-based container environments. It introduces Fluentd as a centralized log collection service that supports pluggable input/output, buffering, and aggregation. Fluentd allows collecting logs from containers and routing them to storage systems like Kafka, HDFS and Elasticsearch. It also supports parsing, filtering and enriching log data through plugins.
How to collect Big Data into Hadoop
This document discusses how to collect big data into Hadoop using Apache Flume and Fluentd. It describes some problems with a poor man's approach to data collection and discusses the basic theories of divide and conquer and streaming to make data collection more efficient. It then provides an overview of how Apache Flume and Fluentd work, including their network topologies, configurations, and plugin systems. Examples are given of how Fluentd has been used at Treasure Data to collect and analyze REST API logs, backend logs, and Hadoop logs. The document concludes with a discussion of developing plugins for Fluentd.
Prestogres internals
Prestogres is a PostgreSQL protocol gateway for Presto that allows Presto to be queried using standard BI tools through ODBC/JDBC. It works by rewriting queries at the pgpool-II middleware layer and executing the rewritten queries on Presto using PL/Python functions. This allows Presto to integrate with the existing BI tool ecosystem while avoiding the complexity of implementing the full PostgreSQL protocol. Key aspects of the Prestogres implementation include faking PostgreSQL system catalogs, handling multi-statement queries and errors, and security definition. Future work items include better supporting SQL syntax like casts and temporary tables.
Embulk - 進化するバルクデータローダ
This document discusses Embulk, an open-source parallel bulk data loader that loads records from one source to another using plugins. It describes the pains of bulk data loading such as data cleaning, error handling, idempotency, and performance. Embulk addresses these issues through its plugin architecture, parallel execution, transaction control, and features like resuming and incremental execution. The document also outlines new features added to Embulk over time including different plugin types, template generation, and integration with tools like Gradle.
Embuk internals
The document discusses how Embulk executes data loading tasks, including an overview of execution in single-threaded, parallel, and distributed modes. It describes how Embulk uses plugins and transactions to control task configuration and execution, performing type conversions between input and output data formats. The key components involved in task execution are the input plugin, parser plugin, filter plugins, formatter plugin, output plugin, and executor plugin.
Plugin-based software design with Ruby and RubyGems
Talk at RubyKaigi 2015.
Plugin architecture is known as a technique that brings extensibility to a program. Ruby has good language features for plugins. RubyGems.org is an excellent platform for plugin distribution. However, creating plugin architecture is not as easy as writing code without it: plugin loader, packaging, loosely-coupled API, and performance. Loading two versions of a gem is a unsolved challenge that is solved in Java on the other hand.
I have designed some open-source software such as Fluentd and Embulk. They provide most of functions by plugins. I will talk about their plugin-based architecture.
Fluentd at Bay Area Kubernetes Meetup
Fluentd is a log collection tool that is well-suited for container environments. It allows for flexible log collection from containers through its variety of input plugins. Logs can be aggregated and buffered by Fluentd before being sent to output destinations like Elasticsearch. This addresses problems with traditional log collection in container environments by decoupling log collection from applications and making the infrastructure more scalable and reliable.
Architecture of MessagePack
MessagePack is an efficient binary serialization library that provides compact representations of structured data like JSON. It allows for remote procedure calls in a synchronous, asynchronous, or callback style and supports communicating with multiple servers concurrently through an event-driven I/O model. It measures much faster than JSON in serializing and deserializing common data types and objects through features like zero-copy streams and variable length encodings.
Embulk, an open-source plugin-based parallel bulk data loader
The document discusses Embulk, an open-source parallel bulk data loader that uses plugins. Embulk loads records from various sources ("A") to various targets ("B") using plugins for different source and target types. This makes the painful process of data integration more relaxed. Embulk executes in parallel, validates data, handles errors, behaves deterministically, and allows for idempotent retries of bulk loads.
Fighting Against Chaotically Separated Values with Embulk
We created a plugin-based data collection tool that can read any chaotically formatted files called "CSV" by guessing its schema automatically
Talked at csv,conf,v2 in Berlin
http://csvconf.com/
Scripting Embulk Plugins
Scripting Embulk plugins makes plugin development easier drastically. You can develop, test, and productionize data integrations using any scripting languages. It's most suitable way to integrate data with SaaS using vendor-provided SDKs.
https://techplay.jp/event/781988
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
This document summarizes Sadayuki Furuhashi's presentation on performance optimization techniques for MessagePack-Ruby. It introduces MessagePack as a data format like JSON but faster and more compact. It discusses how MessagePack has a language agnostic type system and is supported by developers worldwide. Examples are given of how MessagePack is used in large-scale systems and by major projects like Fluentd for high performance log collection and storage.
Making KVS 10x Scalable
1) The document proposes making a key-value storage system (CDP KVS) 10 times more scalable to support real-time data delivery.
2) Three ideas are presented: using an alternative distributed KVS, implementing a storage hierarchy on the existing KVS, and shipping edit logs to indexed archives.
3) The storage hierarchy approach of partitioning, compressing, and writing data to DynamoDB in batches is selected as it improves write performance and reduces storage costs while remaining stateless.
Automating Workflows for Analytics Pipelines
This document discusses automating analytics pipelines and workflows using a workflow engine. It describes the challenges of managing workflows across multiple cloud services and database technologies. It then introduces a multi-cloud workflow engine called Digdag that can automate workflows, handle errors, enable parallel execution, support modularization and parameterization. Examples are given of using Digdag to define and run workflows across services like BigQuery, Treasure Data, Redshift, and Tableau. Key features of Digdag like loops, parameters, parallel tasks and pushing workflows to servers with Docker are also summarized.
Digdagによる大規模データ処理の自動化とエラー処理
Digdag can automate large-scale data processing and handle errors. It provides constructs like operators, parameters, and task groups to organize workflows. Operators package tasks to run queries or process data. Parameters allow passing variables between tasks. Task groups modularize and organize workflows. Digdag supports error handling, monitoring, parallelization, versioning, and reproducing workflows across environments.
Understanding Presto - Presto meetup @ Tokyo #1
This document summarizes a presentation about Presto, an open source distributed SQL query engine. It discusses Presto's distributed and plug-in architecture, query planning process, and cluster configuration options. For architecture, it explains that Presto uses coordinators, workers, and connectors to distribute queries across data sources. For query planning, it shows how SQL queries are converted into logical and physical query plans with stages, tasks, and splits. For configuration, it reviews single-server, multi-worker, and multi-coordinator cluster topologies. It also provides an overview of Presto's recent updates.
Presto - Hadoop Conference Japan 2014
Presto is a distributed SQL query engine that allows for interactive analysis of large datasets across various data sources. It was created at Facebook to enable interactive querying of data in HDFS and Hive, which were too slow for interactive use. Presto addresses problems with existing solutions like Hive being too slow, the need to copy data for analysis, and high costs of commercial databases. It uses a distributed architecture with coordinators planning queries and workers executing tasks quickly in parallel.
Prestogres, ODBC & JDBC connectivity for Presto
Prestogres provides ODBC & JDBC connectivity to Presto, a distributed SQL query engine.
Presto meetup @ Facebook (2014-05-14)
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
Fluentd version 11 includes several new features and improvements including non-stop restart capability, support for multiprocess architecture with separate worker processes, dedicated error stream handling, improved plugin version management, ability to set log levels for individual plugins, use of variables in configuration files, and streaming processing without needing to modify record tags.
How we use Fluentd in Treasure Data
Sadayuki Furuhashi is the founder and software architect of Treasure Data, Inc. He is the original author of Fluentd and MessagePack. Treasure Data uses Fluentd to collect system metrics from applications, Hadoop, and databases and send them to services like Librato Metrics and Treasure Data for analysis and alerts in PagerDuty. The next version of Fluentd will include filter plugins and allow filtering pipelines within the source configuration.
More Related Content
Viewers also liked
How to collect Big Data into Hadoop
This document discusses how to collect big data into Hadoop using Apache Flume and Fluentd. It describes some problems with a poor man's approach to data collection and discusses the basic theories of divide and conquer and streaming to make data collection more efficient. It then provides an overview of how Apache Flume and Fluentd work, including their network topologies, configurations, and plugin systems. Examples are given of how Fluentd has been used at Treasure Data to collect and analyze REST API logs, backend logs, and Hadoop logs. The document concludes with a discussion of developing plugins for Fluentd.
Prestogres internals
Prestogres is a PostgreSQL protocol gateway for Presto that allows Presto to be queried using standard BI tools through ODBC/JDBC. It works by rewriting queries at the pgpool-II middleware layer and executing the rewritten queries on Presto using PL/Python functions. This allows Presto to integrate with the existing BI tool ecosystem while avoiding the complexity of implementing the full PostgreSQL protocol. Key aspects of the Prestogres implementation include faking PostgreSQL system catalogs, handling multi-statement queries and errors, and security definition. Future work items include better supporting SQL syntax like casts and temporary tables.
Embulk - 進化するバルクデータローダ
This document discusses Embulk, an open-source parallel bulk data loader that loads records from one source to another using plugins. It describes the pains of bulk data loading such as data cleaning, error handling, idempotency, and performance. Embulk addresses these issues through its plugin architecture, parallel execution, transaction control, and features like resuming and incremental execution. The document also outlines new features added to Embulk over time including different plugin types, template generation, and integration with tools like Gradle.
Embuk internals
The document discusses how Embulk executes data loading tasks, including an overview of execution in single-threaded, parallel, and distributed modes. It describes how Embulk uses plugins and transactions to control task configuration and execution, performing type conversions between input and output data formats. The key components involved in task execution are the input plugin, parser plugin, filter plugins, formatter plugin, output plugin, and executor plugin.
Plugin-based software design with Ruby and RubyGems
Talk at RubyKaigi 2015.
Plugin architecture is known as a technique that brings extensibility to a program. Ruby has good language features for plugins. RubyGems.org is an excellent platform for plugin distribution. However, creating plugin architecture is not as easy as writing code without it: plugin loader, packaging, loosely-coupled API, and performance. Loading two versions of a gem is a unsolved challenge that is solved in Java on the other hand.
I have designed some open-source software such as Fluentd and Embulk. They provide most of functions by plugins. I will talk about their plugin-based architecture.
Fluentd at Bay Area Kubernetes Meetup
Fluentd is a log collection tool that is well-suited for container environments. It allows for flexible log collection from containers through its variety of input plugins. Logs can be aggregated and buffered by Fluentd before being sent to output destinations like Elasticsearch. This addresses problems with traditional log collection in container environments by decoupling log collection from applications and making the infrastructure more scalable and reliable.
Architecture of MessagePack
MessagePack is an efficient binary serialization library that provides compact representations of structured data like JSON. It allows for remote procedure calls in a synchronous, asynchronous, or callback style and supports communicating with multiple servers concurrently through an event-driven I/O model. It measures much faster than JSON in serializing and deserializing common data types and objects through features like zero-copy streams and variable length encodings.
Embulk, an open-source plugin-based parallel bulk data loader
The document discusses Embulk, an open-source parallel bulk data loader that uses plugins. Embulk loads records from various sources ("A") to various targets ("B") using plugins for different source and target types. This makes the painful process of data integration more relaxed. Embulk executes in parallel, validates data, handles errors, behaves deterministically, and allows for idempotent retries of bulk loads.
Fighting Against Chaotically Separated Values with Embulk
We created a plugin-based data collection tool that can read any chaotically formatted files called "CSV" by guessing its schema automatically
Talked at csv,conf,v2 in Berlin
http://csvconf.com/
Viewers also liked (12)
Plugin-based software design with Ruby and RubyGems
Plugin-based software design with Ruby and RubyGems
Embulk, an open-source plugin-based parallel bulk data loader
Embulk, an open-source plugin-based parallel bulk data loader
Fighting Against Chaotically Separated Values with Embulk
Fighting Against Chaotically Separated Values with Embulk
More from Sadayuki Furuhashi
Scripting Embulk Plugins
Scripting Embulk plugins makes plugin development easier drastically. You can develop, test, and productionize data integrations using any scripting languages. It's most suitable way to integrate data with SaaS using vendor-provided SDKs.
https://techplay.jp/event/781988
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
This document summarizes Sadayuki Furuhashi's presentation on performance optimization techniques for MessagePack-Ruby. It introduces MessagePack as a data format like JSON but faster and more compact. It discusses how MessagePack has a language agnostic type system and is supported by developers worldwide. Examples are given of how MessagePack is used in large-scale systems and by major projects like Fluentd for high performance log collection and storage.
Making KVS 10x Scalable
1) The document proposes making a key-value storage system (CDP KVS) 10 times more scalable to support real-time data delivery.
2) Three ideas are presented: using an alternative distributed KVS, implementing a storage hierarchy on the existing KVS, and shipping edit logs to indexed archives.
3) The storage hierarchy approach of partitioning, compressing, and writing data to DynamoDB in batches is selected as it improves write performance and reduces storage costs while remaining stateless.
Automating Workflows for Analytics Pipelines
This document discusses automating analytics pipelines and workflows using a workflow engine. It describes the challenges of managing workflows across multiple cloud services and database technologies. It then introduces a multi-cloud workflow engine called Digdag that can automate workflows, handle errors, enable parallel execution, support modularization and parameterization. Examples are given of using Digdag to define and run workflows across services like BigQuery, Treasure Data, Redshift, and Tableau. Key features of Digdag like loops, parameters, parallel tasks and pushing workflows to servers with Docker are also summarized.
Digdagによる大規模データ処理の自動化とエラー処理
Digdag can automate large-scale data processing and handle errors. It provides constructs like operators, parameters, and task groups to organize workflows. Operators package tasks to run queries or process data. Parameters allow passing variables between tasks. Task groups modularize and organize workflows. Digdag supports error handling, monitoring, parallelization, versioning, and reproducing workflows across environments.
Understanding Presto - Presto meetup @ Tokyo #1
This document summarizes a presentation about Presto, an open source distributed SQL query engine. It discusses Presto's distributed and plug-in architecture, query planning process, and cluster configuration options. For architecture, it explains that Presto uses coordinators, workers, and connectors to distribute queries across data sources. For query planning, it shows how SQL queries are converted into logical and physical query plans with stages, tasks, and splits. For configuration, it reviews single-server, multi-worker, and multi-coordinator cluster topologies. It also provides an overview of Presto's recent updates.
Presto - Hadoop Conference Japan 2014
Presto is a distributed SQL query engine that allows for interactive analysis of large datasets across various data sources. It was created at Facebook to enable interactive querying of data in HDFS and Hive, which were too slow for interactive use. Presto addresses problems with existing solutions like Hive being too slow, the need to copy data for analysis, and high costs of commercial databases. It uses a distributed architecture with coordinators planning queries and workers executing tasks quickly in parallel.
Prestogres, ODBC & JDBC connectivity for Presto
Prestogres provides ODBC & JDBC connectivity to Presto, a distributed SQL query engine.
Presto meetup @ Facebook (2014-05-14)
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
Fluentd version 11 includes several new features and improvements including non-stop restart capability, support for multiprocess architecture with separate worker processes, dedicated error stream handling, improved plugin version management, ability to set log levels for individual plugins, use of variables in configuration files, and streaming processing without needing to modify record tags.
How we use Fluentd in Treasure Data
Sadayuki Furuhashi is the founder and software architect of Treasure Data, Inc. He is the original author of Fluentd and MessagePack. Treasure Data uses Fluentd to collect system metrics from applications, Hadoop, and databases and send them to services like Librato Metrics and Treasure Data for analysis and alerts in PagerDuty. The next version of Fluentd will include filter plugins and allow filtering pipelines within the source configuration.
Fluentd meetup at Slideshare
Fluentd is a log collector that makes log collection easy. It allows users to collect, store, process, and visualize logs in JSON format. Fluentd works by using input plugins to collect logs, output plugins to export logs to different databases and storage systems, and buffer plugins to filter and route logs. Key features include its large number of plugins, support for JSON formatting, and ability to automatically handle failures and retries.
Fluentd meetup
This document provides an overview of Fluentd, an open source data collector for structured logging. Fluentd uses a pluggable architecture and JSON format for log messages, allowing logs to be filtered, buffered, and reliably forwarded to storage. It provides client libraries for integrating with applications in languages like Ruby, Perl, PHP, Python and Java. Fluentd is positioned as an alternative to other log collection systems like Scribe and Flume, with advantages of being easier to install, configure, extend with plugins, and smaller footprint.
upload test 1
Fluentd is an open source data collector that allows users to collect, process, and store log data and events. It has a pluggable architecture that allows adding input plugins to collect data from various sources and output plugins to send data to different storage solutions. It provides reliable log forwarding and processing capabilities.
NoSQL afternoon in Japan kumofs & MessagePack
- Sadayuki Furuhashi is a computer science student at the University of Tsukuba who created Kumofs, a distributed key-value store, and MessagePack, a cross-language communication library.
- Kumofs is optimized for low-latency and scalability through a consistent hashing algorithm and dynamic rebalancing without impacting applications. It has no single point of failure.
- MessagePack is a compact binary serialization format like JSON used for fast cross-language communication. MessagePack-RPC builds on this to enable asynchronous, pipelined RPC between languages.
More from Sadayuki Furuhashi (15)
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
Performance Optimization Techniques of MessagePack-Ruby - RubyKaigi 2019
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
What's new in v11 - Fluentd Casual Talks #3 #fluentdcasual
Recently uploaded
Removing Uninteresting Bytes in Software Fuzzing
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.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
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.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Climate Impact of Software Testing at Nordic Testing Days
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.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar
Recently uploaded (20)
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
GraphSummit Singapore | Neo4j Product Vision & Roadmap - Q2 2024
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf