Stop Exhausting Yourself in Operating Multiple Elasticsearch ClustersLINE Corporation
Hokuto Kagaya
LINE / PION C Team
このセッションでは、我々が所有する複数のElasticsearchクラスタをどのように運用しているかについて、発生した、あるいは発生しうる課題とそれに対する改善・解決策をお話しします。
LINE GAMEプラットフォームの製品であるPIONの開発チームでは、ログ用、サービス用などの「用途」および開発環境、サンドボックス環境、本番環境などの「環境」という2つの要素の直積を取る形で複数のElasticsearch(以下Es)クラスタを管理しています。Esは非常に多機能なミドルウェアであるために単一クラスタの場合でもチューニングポイントが多く、管理は簡単ではないですが、複数のクラスタになるとより一層難しくなります。特に、各クラスタに属するノードの管理、インストールされているプラグインの管理などは非常に煩雑で間違えやすくなります。単一クラスタの際はKibanaのベーシックプランやcerebroなどのOSSである程度管理が可能ですが、複数クラスタを持っている場合の最善策は何でしょうか?
また、単一・複数にかかわらず Es クラスタそのものの状態を適切にモニタリングして必要に応じてアラートがほしいという要求は常にあります。Kibanaのmonitoring機能はSearch/Indexそれぞれについてlatencyを見ることができますが、より詳細なモニタリングをするにはクライアント側でmetricsを取っておく必要があります。
In this talk I will tell how I used MongoDB for a game event analytic tool for AION. This talk will cover: why we used MongoDB, what we wanted to achieve, how we built the system, and some architectural facts.
SDLC, Agile methodologies and Career in Product managementFoyzul Karim
Video: https://www.youtube.com/playlist?list=PLEYpvDF6qy8Y4g9TG3MpRMf_oEVrPO-Ko
Project scope
Scrum Ceremonies:
Scrum Ceremonies:
Backlog grooming
Sprint planning
Daily standup
Sprint demo
Sprint ticket review
Retrospective
Kanban Ceremonies:
Backlog grooming
Backlog estimation
Daily standup
Biweekly demo
Retrospective
https://www.atlassian.com/agile
Career in project management
How is software made anyway?
Requirement communication and brainstorming
Development heavily depends on coding
Release heavily depends on DevOps
Support communication
Salary
Learning path
Project Management Professional (PMP)
Certified Associate in Project Management (CAPM)
Certified ScrumMaster (CSM)
Professional Scrum Master (PSM I)
Product manager (what I saw)
Collaborate with other stakeholders (Analytics team, Sales, Marketing, CX)
Understand everything about the product
Imagine the feature and its impact
Collaborate with the developers to find out better solution / UX
Knows SQL
https://www.coursera.org/articles/project-manager-salary
https://www.coursera.org/specializations/product-management
https://www.coursera.org/learn/agile-project-management#syllabus
https://www.edx.org/course/product-management-with-lean-agile-and-system-desi?index=product&queryID=951e301d4498ecb8fbb1f7ffc6466d1c&position=1
https://www.jobstreet.com.my/en/career-insights/product-manager/salary/within-it-computer-software
https://www.greycampus.com/blog/project-management/project-management-certification-salary-in-2021
https://www.seek.com.au/product-manager-jobs
When someone wants to learn about Microservice, s/he can easily get lost in the jungle of buzzwords. Specially the relationship between Domain Design, Service to Service communication and Devops are used very frequently in Microservice. But which is what and how are they fit together?
I tried to discuss them in my presentation.
Video can be found here: https://www.youtube.com/playlist?list=PLEYpvDF6qy8YyX2dQX93C88mQ5alaWFXJ
Why Big Data need new storage technology?
Linearly scalable
Fully Durable
Cassandra have table ,columns and CQL does not mean it’s SQL
Fully Distributed, no SPOF
Tuneable Consistency
Multi-master, Multi-DC
Stop Exhausting Yourself in Operating Multiple Elasticsearch ClustersLINE Corporation
Hokuto Kagaya
LINE / PION C Team
このセッションでは、我々が所有する複数のElasticsearchクラスタをどのように運用しているかについて、発生した、あるいは発生しうる課題とそれに対する改善・解決策をお話しします。
LINE GAMEプラットフォームの製品であるPIONの開発チームでは、ログ用、サービス用などの「用途」および開発環境、サンドボックス環境、本番環境などの「環境」という2つの要素の直積を取る形で複数のElasticsearch(以下Es)クラスタを管理しています。Esは非常に多機能なミドルウェアであるために単一クラスタの場合でもチューニングポイントが多く、管理は簡単ではないですが、複数のクラスタになるとより一層難しくなります。特に、各クラスタに属するノードの管理、インストールされているプラグインの管理などは非常に煩雑で間違えやすくなります。単一クラスタの際はKibanaのベーシックプランやcerebroなどのOSSである程度管理が可能ですが、複数クラスタを持っている場合の最善策は何でしょうか?
また、単一・複数にかかわらず Es クラスタそのものの状態を適切にモニタリングして必要に応じてアラートがほしいという要求は常にあります。Kibanaのmonitoring機能はSearch/Indexそれぞれについてlatencyを見ることができますが、より詳細なモニタリングをするにはクライアント側でmetricsを取っておく必要があります。
In this talk I will tell how I used MongoDB for a game event analytic tool for AION. This talk will cover: why we used MongoDB, what we wanted to achieve, how we built the system, and some architectural facts.
SDLC, Agile methodologies and Career in Product managementFoyzul Karim
Video: https://www.youtube.com/playlist?list=PLEYpvDF6qy8Y4g9TG3MpRMf_oEVrPO-Ko
Project scope
Scrum Ceremonies:
Scrum Ceremonies:
Backlog grooming
Sprint planning
Daily standup
Sprint demo
Sprint ticket review
Retrospective
Kanban Ceremonies:
Backlog grooming
Backlog estimation
Daily standup
Biweekly demo
Retrospective
https://www.atlassian.com/agile
Career in project management
How is software made anyway?
Requirement communication and brainstorming
Development heavily depends on coding
Release heavily depends on DevOps
Support communication
Salary
Learning path
Project Management Professional (PMP)
Certified Associate in Project Management (CAPM)
Certified ScrumMaster (CSM)
Professional Scrum Master (PSM I)
Product manager (what I saw)
Collaborate with other stakeholders (Analytics team, Sales, Marketing, CX)
Understand everything about the product
Imagine the feature and its impact
Collaborate with the developers to find out better solution / UX
Knows SQL
https://www.coursera.org/articles/project-manager-salary
https://www.coursera.org/specializations/product-management
https://www.coursera.org/learn/agile-project-management#syllabus
https://www.edx.org/course/product-management-with-lean-agile-and-system-desi?index=product&queryID=951e301d4498ecb8fbb1f7ffc6466d1c&position=1
https://www.jobstreet.com.my/en/career-insights/product-manager/salary/within-it-computer-software
https://www.greycampus.com/blog/project-management/project-management-certification-salary-in-2021
https://www.seek.com.au/product-manager-jobs
When someone wants to learn about Microservice, s/he can easily get lost in the jungle of buzzwords. Specially the relationship between Domain Design, Service to Service communication and Devops are used very frequently in Microservice. But which is what and how are they fit together?
I tried to discuss them in my presentation.
Video can be found here: https://www.youtube.com/playlist?list=PLEYpvDF6qy8YyX2dQX93C88mQ5alaWFXJ
Why Big Data need new storage technology?
Linearly scalable
Fully Durable
Cassandra have table ,columns and CQL does not mean it’s SQL
Fully Distributed, no SPOF
Tuneable Consistency
Multi-master, Multi-DC
Pull, push, clone, it is all in your daily workflow. But what if this wasn't your source code or your container, but the state of your whole computer? Push your production database over to another machine? No problem!
This talk shows how you can use Dotmesh with LinuxKit to work with persistent data on your server as simply as you work with git. This workflow helps unleash new ways of working with servers and data. Immutable infrastructure from LinuxKit meets controlled and manageable data storage from Dotmesh. Combining these two open source projects allows new possibilities in how to manage your infrastructure.
Automation: The Good, The Bad and The Ugly with DevOpsGuys - AppD Summit EuropeAppDynamics
A cornerstone of the DevOps philosophy, investment in automation at all stages across the SDLC has increased over recent years. Automation promises velocity and reduced errors, helps foster repeatable processes, and removes the need for long hours on dull, repetitive tasks. So what’s not to like? The downside of automation is that unless applied at the right place in your SDLC it can make a bad process worse. Automation also raises questions around job security, the need for re-skilling in other areas, and tool sprawl if different teams each choose their preferred technology. This session will outline:
-A short chronology of where automation has impacted the modern software stack
-Where it makes the most sense to automate (by identifying your key constraints)
-Best practices for adopting automation and how to identify where it’s working — and where it isn’t
For more information, visit: www.appdynamics.com
DevOpsGuys - DevOps Automation - The Good, The Bad and The UglyDevOpsGroup
DevOpsGuys - DevOps Automation - The Good, The Bad and The Ugly gives an overview of the strengths and weaknesses of DevOps automation, tips on developing your automation strategy, and a high level overview of automation options across the DevOps toolchain.
Dev Ops Geek Fest: Automating the ForgeRock PlatformForgeRock
Modern identity management platforms must be agile enough to respond to demanding business timelines. Your dev-ops strategy could be the difference between hitting or missing business-critical deadlines. In this session we will demonstrate how to use dev-ops tools such as Ansible and Vagrant to automate and simplify the installation of the ForgeRock Identity Platform.
Netflix Open Source: Building a Distributed and Automated Open Source Programaspyker
Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Building a Distributed & Automated Open Source Program at NetflixAll Things Open
Andrew Spyker
Senior Software Engineer for Netflix
Find more by Andrew Spyker: http://www.slideshare.net/aspyker
All Things Open
October 26-27, 2016
Raleigh, North Carolina
Come può .NET contribuire alla Data Science? Cosa è .NET Interactive? Cosa c'entrano i notebook? E Apache Spark? E il pythonismo? E Azure? Vediamo in questa sessione di mettere in ordine le idee.
Using AWS, Terraform, and Ansible to Automate Splunk at ScaleData Works MD
The DreamPort Splunk Project; How We Use AWS, Terraform, and Ansible to Automate Everything About a Splunk Cluster
At DreamPort, we use cloud platforms, infrastructure-as-code tooling, configuration tools, automation software, and container technologies to very quickly design, develop, and prototype projects. This particular talk focuses on the tools used to deploy and configure a Splunk cluster for a particular project we recently ran. We will cover the deployment, configuration, and orchestration of a large 16 node Splunk cluster using tools that are a core set to DreamPort's cloud infrastructure toolbox; AWS, Terraform, Ansible, and Docker.
It is recommended that attendees have a general understanding of AWS, Linux, Splunk, and Docker, and know about automation tools such as Terraform and Ansible.
Attendees will learn how to use AWS, Terraform, Ansible, and Docker to deploy a large Splunk cluster, how to use Ansible to orchestrate and manage the Splunk cluster, and how to use Ansible to orchestrate and manage the Splunk cluster.
-------------------------------------------------
Bill Cawthra is a Principal Cloud Infrastructure Architect for CyberPoint, managing project-related cloud systems and platforms. He works primarily on the AWS platform, using various automation tools to rapidly deploy and manage infrastructure. Bill has over 18 years of experience in computers and technology, working in a range of fields, including construction, DoD, health care, and social media.
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)John Schneider
Leo Zhandovsky (@leozh, formerly DNC, now AWS Solutions Architect) and I gave a brief talk about DevOps at the DNC and OFA campaign for DevOps Days in New York City.
Video (Starts ~1hr55min) - http://new.livestream.com/devopsdaysorg/nyc2013
Node Interactive : 7 years, 7 design patterns, will node continue to outshineShubhra Kar
In the past 7 years, we have seen the rise of 7 key application architectures among others namely:
SPAs
Realtime Apps/APIs
Hybrid Mobile
Microservices
Serverless
IoT
AI
Node.js is very popular and performant and the hyper growth of modules and APIs proves the point…to an extent that there is a problem of too much choice and inconsistent quality.
Application architectures however cannot afford the same clip of change, else nothing meaningful will ever get delivered. Simultaneously GoLang, Weave, R, Async Java, Swift, Scala et all are competing for the same mindshare. Architects have purists (monoglot) and/or best of breed (polyglot) approaches. Many of them view languages as transient and designs as perpetual.
In this presentation, we will discuss standardization of design patterns across these 7 architectures and how node.js can be an integral part of them.
Smart Platform Infrastructure with AWSJames Huston
Learn from some of our insights and create a smart infrastructure that let's your team sleep at night!
Presented @DevOpsDays_CLT Feb 2017 by James Huston @hustonjs
Keynote: Sensu as a multi-cloud monitoring control planeSensu Inc.
In this Sensu Summit 2019 talk, Sensu CEO Caleb Hailey explores how Sensu provides a “monitoring control plane” that is analogous to the Kubernetes control plane, and how Sensu can empower organizations by delivering consistent monitoring workflows in multi-cloud environments.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Pull, push, clone, it is all in your daily workflow. But what if this wasn't your source code or your container, but the state of your whole computer? Push your production database over to another machine? No problem!
This talk shows how you can use Dotmesh with LinuxKit to work with persistent data on your server as simply as you work with git. This workflow helps unleash new ways of working with servers and data. Immutable infrastructure from LinuxKit meets controlled and manageable data storage from Dotmesh. Combining these two open source projects allows new possibilities in how to manage your infrastructure.
Automation: The Good, The Bad and The Ugly with DevOpsGuys - AppD Summit EuropeAppDynamics
A cornerstone of the DevOps philosophy, investment in automation at all stages across the SDLC has increased over recent years. Automation promises velocity and reduced errors, helps foster repeatable processes, and removes the need for long hours on dull, repetitive tasks. So what’s not to like? The downside of automation is that unless applied at the right place in your SDLC it can make a bad process worse. Automation also raises questions around job security, the need for re-skilling in other areas, and tool sprawl if different teams each choose their preferred technology. This session will outline:
-A short chronology of where automation has impacted the modern software stack
-Where it makes the most sense to automate (by identifying your key constraints)
-Best practices for adopting automation and how to identify where it’s working — and where it isn’t
For more information, visit: www.appdynamics.com
DevOpsGuys - DevOps Automation - The Good, The Bad and The UglyDevOpsGroup
DevOpsGuys - DevOps Automation - The Good, The Bad and The Ugly gives an overview of the strengths and weaknesses of DevOps automation, tips on developing your automation strategy, and a high level overview of automation options across the DevOps toolchain.
Dev Ops Geek Fest: Automating the ForgeRock PlatformForgeRock
Modern identity management platforms must be agile enough to respond to demanding business timelines. Your dev-ops strategy could be the difference between hitting or missing business-critical deadlines. In this session we will demonstrate how to use dev-ops tools such as Ansible and Vagrant to automate and simplify the installation of the ForgeRock Identity Platform.
Netflix Open Source: Building a Distributed and Automated Open Source Programaspyker
Netflix has been using and contributing to open source for several years. Over the years, Netflix has released over one hundred Netflix Open Source (aka NetflixOSS) libraries, servers, and technologies. Netflix engineers benefit by accepting contributions and gathering feedback with key collaborators around the world. Users of NetflixOSS from many industries benefit from our solutions including Big Data, Build and Delivery Tools, Runtime Services and Libraries, Data Persistence, Insight, Reliability and Performance, Security and User Interface. With such a large and mature open source program, Netflix has worked on approaches and tools that help manage and improve the NetflixOSS source offerings and communities. Netflix has taken a different approach to building support for open source as compared to other Internet scale companies. Come to this session to learn about the unique approaches Netflix has taken to both distribute and automate the responsibilities of building a world-class open source program.
Building a Distributed & Automated Open Source Program at NetflixAll Things Open
Andrew Spyker
Senior Software Engineer for Netflix
Find more by Andrew Spyker: http://www.slideshare.net/aspyker
All Things Open
October 26-27, 2016
Raleigh, North Carolina
Come può .NET contribuire alla Data Science? Cosa è .NET Interactive? Cosa c'entrano i notebook? E Apache Spark? E il pythonismo? E Azure? Vediamo in questa sessione di mettere in ordine le idee.
Using AWS, Terraform, and Ansible to Automate Splunk at ScaleData Works MD
The DreamPort Splunk Project; How We Use AWS, Terraform, and Ansible to Automate Everything About a Splunk Cluster
At DreamPort, we use cloud platforms, infrastructure-as-code tooling, configuration tools, automation software, and container technologies to very quickly design, develop, and prototype projects. This particular talk focuses on the tools used to deploy and configure a Splunk cluster for a particular project we recently ran. We will cover the deployment, configuration, and orchestration of a large 16 node Splunk cluster using tools that are a core set to DreamPort's cloud infrastructure toolbox; AWS, Terraform, Ansible, and Docker.
It is recommended that attendees have a general understanding of AWS, Linux, Splunk, and Docker, and know about automation tools such as Terraform and Ansible.
Attendees will learn how to use AWS, Terraform, Ansible, and Docker to deploy a large Splunk cluster, how to use Ansible to orchestrate and manage the Splunk cluster, and how to use Ansible to orchestrate and manage the Splunk cluster.
-------------------------------------------------
Bill Cawthra is a Principal Cloud Infrastructure Architect for CyberPoint, managing project-related cloud systems and platforms. He works primarily on the AWS platform, using various automation tools to rapidly deploy and manage infrastructure. Bill has over 18 years of experience in computers and technology, working in a range of fields, including construction, DoD, health care, and social media.
DevOps at Obama for America(2012) and the DNC (DevOps Days NYC Jan 2013)John Schneider
Leo Zhandovsky (@leozh, formerly DNC, now AWS Solutions Architect) and I gave a brief talk about DevOps at the DNC and OFA campaign for DevOps Days in New York City.
Video (Starts ~1hr55min) - http://new.livestream.com/devopsdaysorg/nyc2013
Node Interactive : 7 years, 7 design patterns, will node continue to outshineShubhra Kar
In the past 7 years, we have seen the rise of 7 key application architectures among others namely:
SPAs
Realtime Apps/APIs
Hybrid Mobile
Microservices
Serverless
IoT
AI
Node.js is very popular and performant and the hyper growth of modules and APIs proves the point…to an extent that there is a problem of too much choice and inconsistent quality.
Application architectures however cannot afford the same clip of change, else nothing meaningful will ever get delivered. Simultaneously GoLang, Weave, R, Async Java, Swift, Scala et all are competing for the same mindshare. Architects have purists (monoglot) and/or best of breed (polyglot) approaches. Many of them view languages as transient and designs as perpetual.
In this presentation, we will discuss standardization of design patterns across these 7 architectures and how node.js can be an integral part of them.
Smart Platform Infrastructure with AWSJames Huston
Learn from some of our insights and create a smart infrastructure that let's your team sleep at night!
Presented @DevOpsDays_CLT Feb 2017 by James Huston @hustonjs
Keynote: Sensu as a multi-cloud monitoring control planeSensu Inc.
In this Sensu Summit 2019 talk, Sensu CEO Caleb Hailey explores how Sensu provides a “monitoring control plane” that is analogous to the Kubernetes control plane, and how Sensu can empower organizations by delivering consistent monitoring workflows in multi-cloud environments.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
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
Communications Mining Series - Zero to Hero - Session 1DianaGray10
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
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
1. GIT Usage and Practice
OSEDA
By Supaket Wongkampoo (Tomz)
17 Sep 2016
2. SUPAKET WONGKAMPOO
(Tomz)
Software Engineer @ Agoda
Solution Architecture @ Enersys
Anonymous bear @ Big Bears
*DevOps by passion*
- Full Stack Developer
- Virtualisation and Infrastruction as code (Puppet/Ansible)
- Docker Swarm
- Release Management and continuous development
3. What ’s ?
•Version control system or source control
•Alternative source control like Svn, Cvs, Bazaar, Hg mercurial
•Backup Tool
•Collaboration tools
4. Why we use ?
•Flexible branching system
• Cheep and easy local branching
• Non-linear development
•Fast
•Convenient stage area
•Data Integrity
•Multiple work flow
UI AI Server Game play
5. Simple Design - Linus Torvalds (2006-06-27)
“…git actually has a simple design, with stable and
reasonably well-documented data structures. In fact,
I'm a huge proponent of designing your code around
the data, rather than the other way around, and I
think it's one of the reasons git has been fairly
successful”