This document discusses migrating build pipelines to Docker and GitLab CI/CD. It begins with an introduction to Docker and its benefits for building isolated, immutable, and versioned applications. It then covers using GitLab for integrated Docker registry and GitLab CI/CD for running pipelines in a declarative configuration. The rest of the document discusses strategies for testing across OSes, handling errors and upgrades, and scheduling jobs on Kubernetes or AWS spot instances for improved efficiency and cost savings.
The document contains the agenda for an Automation Day event focused on Docker strategies. It lists the schedule of presentations and workshops on topics like virtualization, containerization, monitoring, migration to Docker, and orchestrating Docker in production. The day includes sessions for beginners and advanced users, with keynotes in the morning and beers in the afternoon.
This document discusses the challenges of monitoring dynamic containerized infrastructure and provides an overview of how Datadog addresses these challenges. It describes how Datadog collects metrics from containers, applications, and hosts using agents, APIs, and files to provide monitoring of things like CPU usage, memory usage, requests per second and error rates. It also allows tagging and querying metrics for improved visibility.
1) The signs indicate it's time for the organization to develop an enterprise strategy for container deployments as more internal developers use Docker and commercial software is delivered as container images.
2) Key aspects of the strategy include choosing the underlying infrastructure, implementing image governance policies, securing the Docker platform, handling operations, migrating applications, and more.
3) When choosing infrastructure, organizations should consider using virtualization for managers and bare metal for workers to optimize costs while providing needed capabilities in different environments.
This document outlines an agenda for a session on setting up a SQL Always On cluster on AWS. The session will cover installing SQL nodes on EC2 instances, using user data scripts, and managing dependencies. Attendees will learn tips and tricks for deploying databases on AWS, including when managed services are not suitable, and will have a chance to test the cluster that is demonstrated.
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 boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
This document discusses migrating build pipelines to Docker and GitLab CI/CD. It begins with an introduction to Docker and its benefits for building isolated, immutable, and versioned applications. It then covers using GitLab for integrated Docker registry and GitLab CI/CD for running pipelines in a declarative configuration. The rest of the document discusses strategies for testing across OSes, handling errors and upgrades, and scheduling jobs on Kubernetes or AWS spot instances for improved efficiency and cost savings.
The document contains the agenda for an Automation Day event focused on Docker strategies. It lists the schedule of presentations and workshops on topics like virtualization, containerization, monitoring, migration to Docker, and orchestrating Docker in production. The day includes sessions for beginners and advanced users, with keynotes in the morning and beers in the afternoon.
This document discusses the challenges of monitoring dynamic containerized infrastructure and provides an overview of how Datadog addresses these challenges. It describes how Datadog collects metrics from containers, applications, and hosts using agents, APIs, and files to provide monitoring of things like CPU usage, memory usage, requests per second and error rates. It also allows tagging and querying metrics for improved visibility.
1) The signs indicate it's time for the organization to develop an enterprise strategy for container deployments as more internal developers use Docker and commercial software is delivered as container images.
2) Key aspects of the strategy include choosing the underlying infrastructure, implementing image governance policies, securing the Docker platform, handling operations, migrating applications, and more.
3) When choosing infrastructure, organizations should consider using virtualization for managers and bare metal for workers to optimize costs while providing needed capabilities in different environments.
This document outlines an agenda for a session on setting up a SQL Always On cluster on AWS. The session will cover installing SQL nodes on EC2 instances, using user data scripts, and managing dependencies. Attendees will learn tips and tricks for deploying databases on AWS, including when managed services are not suitable, and will have a chance to test the cluster that is demonstrated.
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 boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
This document discusses GitLab CI Packer and continuous integration/continuous deployment (CI/CD) practices. It contrasts the traditional "cascade" development model with shorter agile cycles. The key points are that automation, CI/CD for both applications and infrastructure, and a DevOps culture and tools can enable more frequent deployments. CI catches bugs early through automated builds and tests. CD aims for continuous deployment through techniques like blue/green, A/B testing, and canary releases. DevOps reduces team silos and focuses on business outcomes.
This document discusses deploying Active Directory on AWS. It notes that while building an Active Directory infrastructure in a company normally takes days, it can be done on AWS in just 40 minutes. It then covers topics like why deploy AD on AWS, how to migrate or extend an existing on-premises AD to AWS, and post-deployment operations like DNS and DHCP configuration to point to the new domain controllers.
This document summarizes a presentation on preparing an application stack for migration to the Microsoft Azure cloud. It outlines the goals of demonstrating infrastructure as code using Terraform to define Azure resources like load balancers and DNS records. The agenda includes discussing dependencies like VPCs and subnets, stack definition using Terraform, and bootstrap automation. It concludes by inviting any questions and welcoming attendees to enjoy the rest of the TIAD camp event.
This document provides an overview and agenda for the TIAD Camp Serverless event. The summary is:
The document outlines the agenda for the TIAD Camp Serverless event, which includes sessions on serverless architectures using AWS Lambda, Google Cloud Functions, and Azure Functions. There will be bootcamps demonstrating how to build serverless APIs as well as discussions on serverless analytics, data pipelines, dynamic cloud architectures and operational challenges with serverless. The event aims to educate attendees on serverless concepts and tools across various cloud platforms.
This document summarizes the journey of servers from the early mechanical computers of the 1600s to modern serverless architectures. It discusses the evolution of technologies like virtualization, cloud computing, and serverless that have shifted how infrastructure is managed. Companies have adopted these new technologies to reduce costs, earn more money by disrupting industries, and transform digitally to adapt. The document traces how developers and operations teams have seen their roles change and responsibilities shift over time as technologies advanced from owning physical hardware to utilizing fully managed serverless platforms.
Operational challenges behind serverless architectures include:
- Observability is difficult due to lack of standard monitoring and logging tools.
- Event-based architectures can experience snowball effects and issues with poison messages.
- Latency accumulates across many small functions and warm-up times increase initial function execution.
- Understanding new serverless services like Lambda, DynamoDB, and Kinesis requires new expertise in areas like data modeling.
- Continuous delivery practices must adapt to packaging serverless applications and versioning distributed functions and shared code.
The document discusses building chatbots using Google Cloud Functions and API.AI. It covers the design, development and deployment process. For design, it discusses creating a persona, style guide and sample dialogs. For development, it explains how conversations work with speech to text, natural language processing and text to speech. Cloud Functions is presented as a serverless platform to build event-based microservices for chatbots. API.AI is demonstrated for natural language understanding. Integrations with Actions on Google and other platforms are also covered. The document concludes with resources for conversational design guidelines.
Real Time Serverless Data Pipelines on AWS discusses how to build data pipelines on AWS using serverless technologies. It presents solutions for recording, processing, structuring and storing events seamlessly using services like Lambda, Kinesis, DynamoDB, S3 and Redshift. The talk emphasizes experimenting continuously and confidently with serverless technologies to build scalable, componentized solutions for predictive apps and tailored data strategies.
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Learn how to be build repeatable Windows environments using hand tailored build factory based on packer Terraform Chocolatey and Boxstarter. Learn how to become predictable and environment agnostic. Build services on Google Cloud Platform, AWS & Azure using the same deployment methodology.
This document discusses application delivery in a container world. It summarizes using Docker from development to production, including local development, continuous integration, deploying to servers using schedulers like Kubernetes and ECS, service discovery using tools like Consul, and updating applications safely using blue-green deployments and feature toggling. It then demonstrates these concepts using Docker, AWS ECS, Consul, and Consul Template to deploy a voting application.
The document discusses where DevOps is going next. It describes how DevOps has evolved from software running on single machines to distributed systems running across thousands of machines. It argues that major tech companies think of building and running services like biological systems that can spread code across machines reliably. The document advocates for using cluster management, workload scheduling, and containers to build systems that operate like biological compute models. It promotes adopting application automation using tools like Habitat to better manage applications.
This document discusses how kaizen, which means continuous improvement, can help organizations overcome resistance to change. It suggests examining beliefs about failure and automating the most error-prone tasks first. The talk emphasizes that real change happens gradually through small, consistent improvements each day rather than through radical transformations or strict plans.
Container images are made up of layers, with each layer containing file system changes. Images can be tagged to distinguish versions and labeled to add metadata. Labels provide information like the image creator, description, and version references. Child images inherit labels from their parent image, but not the maintainer label. Automating builds with a Makefile allows labels to reference the current git commit and build time. Metadata helps understand what an image contains and how it was created.
This document discusses network automation using Ansible and OpenConfig/YANG. It provides an overview of moving from CLI scraping to using NETCONF and common data models like OpenConfig and YANG. It also demonstrates how Ansible can be used with Juniper network devices for automation through both standard and API modes. A demo is available on GitHub for automating OpenConfig configurations on Juniper devices using Ansible.
The document summarizes BlaBlaCar's journey to migrating 100% of their production services to containers. It describes how they started with bare metal servers and evolved to using configuration management tools like Chef. They then standardized on CoreOS and rkt as their container platform. Key tools they developed include dgr for building container images and ggn for managing services running in containers. They also implemented service discovery using custom tools like Nerve and Synapse. The document shares many lessons learned from their large scale production container deployment.
This document discusses the history and potential future of blockchain technology. It outlines some of the key developments that have led to blockchain, including double-entry bookkeeping in the 15th century, the development of transactional business machines in the 1960s, the founding of IBM in 1911, and the introduction of Bitcoin and distributed ledgers by Satoshi Nakamoto in 2008. The document also examines some of the challenges for blockchains, such as privacy, confidentiality and governance. It describes IBM's focus on permissioned blockchains for known actors in regulated industries and outlines IBM's work with Hyperledger to help make blockchains practical for businesses.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
This document discusses GitLab CI Packer and continuous integration/continuous deployment (CI/CD) practices. It contrasts the traditional "cascade" development model with shorter agile cycles. The key points are that automation, CI/CD for both applications and infrastructure, and a DevOps culture and tools can enable more frequent deployments. CI catches bugs early through automated builds and tests. CD aims for continuous deployment through techniques like blue/green, A/B testing, and canary releases. DevOps reduces team silos and focuses on business outcomes.
This document discusses deploying Active Directory on AWS. It notes that while building an Active Directory infrastructure in a company normally takes days, it can be done on AWS in just 40 minutes. It then covers topics like why deploy AD on AWS, how to migrate or extend an existing on-premises AD to AWS, and post-deployment operations like DNS and DHCP configuration to point to the new domain controllers.
This document summarizes a presentation on preparing an application stack for migration to the Microsoft Azure cloud. It outlines the goals of demonstrating infrastructure as code using Terraform to define Azure resources like load balancers and DNS records. The agenda includes discussing dependencies like VPCs and subnets, stack definition using Terraform, and bootstrap automation. It concludes by inviting any questions and welcoming attendees to enjoy the rest of the TIAD camp event.
This document provides an overview and agenda for the TIAD Camp Serverless event. The summary is:
The document outlines the agenda for the TIAD Camp Serverless event, which includes sessions on serverless architectures using AWS Lambda, Google Cloud Functions, and Azure Functions. There will be bootcamps demonstrating how to build serverless APIs as well as discussions on serverless analytics, data pipelines, dynamic cloud architectures and operational challenges with serverless. The event aims to educate attendees on serverless concepts and tools across various cloud platforms.
This document summarizes the journey of servers from the early mechanical computers of the 1600s to modern serverless architectures. It discusses the evolution of technologies like virtualization, cloud computing, and serverless that have shifted how infrastructure is managed. Companies have adopted these new technologies to reduce costs, earn more money by disrupting industries, and transform digitally to adapt. The document traces how developers and operations teams have seen their roles change and responsibilities shift over time as technologies advanced from owning physical hardware to utilizing fully managed serverless platforms.
Operational challenges behind serverless architectures include:
- Observability is difficult due to lack of standard monitoring and logging tools.
- Event-based architectures can experience snowball effects and issues with poison messages.
- Latency accumulates across many small functions and warm-up times increase initial function execution.
- Understanding new serverless services like Lambda, DynamoDB, and Kinesis requires new expertise in areas like data modeling.
- Continuous delivery practices must adapt to packaging serverless applications and versioning distributed functions and shared code.
The document discusses building chatbots using Google Cloud Functions and API.AI. It covers the design, development and deployment process. For design, it discusses creating a persona, style guide and sample dialogs. For development, it explains how conversations work with speech to text, natural language processing and text to speech. Cloud Functions is presented as a serverless platform to build event-based microservices for chatbots. API.AI is demonstrated for natural language understanding. Integrations with Actions on Google and other platforms are also covered. The document concludes with resources for conversational design guidelines.
Real Time Serverless Data Pipelines on AWS discusses how to build data pipelines on AWS using serverless technologies. It presents solutions for recording, processing, structuring and storing events seamlessly using services like Lambda, Kinesis, DynamoDB, S3 and Redshift. The talk emphasizes experimenting continuously and confidently with serverless technologies to build scalable, componentized solutions for predictive apps and tailored data strategies.
Azure Functions allow for event-driven, serverless code execution in multiple languages like C#, Node.js, and Python. Functions can be triggered by events from various Azure services and external sources. They provide automatic scaling based on demand and sub-second billing. Functions make it easy to compose cloud applications from loosely coupled services and integrate with other Azure services like Logic Apps, Storage, SQL Database, and more.
Learn how to be build repeatable Windows environments using hand tailored build factory based on packer Terraform Chocolatey and Boxstarter. Learn how to become predictable and environment agnostic. Build services on Google Cloud Platform, AWS & Azure using the same deployment methodology.
This document discusses application delivery in a container world. It summarizes using Docker from development to production, including local development, continuous integration, deploying to servers using schedulers like Kubernetes and ECS, service discovery using tools like Consul, and updating applications safely using blue-green deployments and feature toggling. It then demonstrates these concepts using Docker, AWS ECS, Consul, and Consul Template to deploy a voting application.
The document discusses where DevOps is going next. It describes how DevOps has evolved from software running on single machines to distributed systems running across thousands of machines. It argues that major tech companies think of building and running services like biological systems that can spread code across machines reliably. The document advocates for using cluster management, workload scheduling, and containers to build systems that operate like biological compute models. It promotes adopting application automation using tools like Habitat to better manage applications.
This document discusses how kaizen, which means continuous improvement, can help organizations overcome resistance to change. It suggests examining beliefs about failure and automating the most error-prone tasks first. The talk emphasizes that real change happens gradually through small, consistent improvements each day rather than through radical transformations or strict plans.
Container images are made up of layers, with each layer containing file system changes. Images can be tagged to distinguish versions and labeled to add metadata. Labels provide information like the image creator, description, and version references. Child images inherit labels from their parent image, but not the maintainer label. Automating builds with a Makefile allows labels to reference the current git commit and build time. Metadata helps understand what an image contains and how it was created.
This document discusses network automation using Ansible and OpenConfig/YANG. It provides an overview of moving from CLI scraping to using NETCONF and common data models like OpenConfig and YANG. It also demonstrates how Ansible can be used with Juniper network devices for automation through both standard and API modes. A demo is available on GitHub for automating OpenConfig configurations on Juniper devices using Ansible.
The document summarizes BlaBlaCar's journey to migrating 100% of their production services to containers. It describes how they started with bare metal servers and evolved to using configuration management tools like Chef. They then standardized on CoreOS and rkt as their container platform. Key tools they developed include dgr for building container images and ggn for managing services running in containers. They also implemented service discovery using custom tools like Nerve and Synapse. The document shares many lessons learned from their large scale production container deployment.
This document discusses the history and potential future of blockchain technology. It outlines some of the key developments that have led to blockchain, including double-entry bookkeeping in the 15th century, the development of transactional business machines in the 1960s, the founding of IBM in 1911, and the introduction of Bitcoin and distributed ledgers by Satoshi Nakamoto in 2008. The document also examines some of the challenges for blockchains, such as privacy, confidentiality and governance. It describes IBM's focus on permissioned blockchains for known actors in regulated industries and outlines IBM's work with Hyperledger to help make blockchains practical for businesses.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
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.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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.
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.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
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.
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.
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.
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
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.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!