DockerCon EU 2015: ScaleSwarm: Auto-scaling a swarm cluster

•

2 likes•3,190 views

Swarm and Machine are individually very powerful projects, but when combined, they can work wonders. The project attempts to create a self-scaling cluster using Swarm and Machine. Here, to setup an AWS Docker Auto Scaling cluster, all you need is swarm, machine and Amazon API Keys.

Technology

ScaleSwarm:
Auto scaling a swarm cluster
Harshit Mittal Ankush Agarwal
Software Engg @uber Software Engg @addepar

About me
2
My first #dockercon
Docker enthusiast (#newbie)
In last two docker hackathons

Docker
3
Single node, multiple containers
resource isolation, security, perf, etc

Swarm
4
Manage multiple dockerized nodes
has similar interface to docker-cli
‘pre-allocate’ nodes as swarm
agents

Our Hack
6
Use docker-machine to add nodes on-
demand to the swarm cluster

How it works?
7
Modified docker-machine to use a custom swarm image
[ankushagarwal11/swarm]
Use swarm image to catch “No resources available…”
Spawn a new container running docker-machine on
swarm-master to provision and add a new ec2-host* to the
cluster
Try container creation once
Voilà!
*could work well for other hosts docker-machine supports

9
https://github.com/ankushagarwal/global-hack-day-3

Thank you!
Harshit Mittal
@hmittal83
hmittal83@gmail.com

Viewers also liked

Tyrion Cannister Neural Styles by Dora Korpar and Siphan Bou

Docker, Inc.

LXC Docker and the Future of Software Delivery

Docker, Inc.

DockerCon EU 2015: Compute as an Interruption Forget the Servers

Docker, Inc.

OpenStack Boston

Docker, Inc.

DockerCon 14 Keynote Day 2

Docker, Inc.

Making it Easier to Contribute to Open Source Projects Using Docker Container...

Docker, Inc.

DockerCon14 Performance Characteristics of Traditional VMs vs. Docker Containers

Docker, Inc.

Docker at DevTable

Docker, Inc.

Presentation by Dr. Marius Millea, Cosmologist and Postdoctoral Fellow at the Institut Lagrange de Paris Cosmology@Home is a project which uses volunteer computing to analyze cosmological data and answer questions about our universe such as "how much dark matter is there?" and "under what conditions did the Big Bang occur?" We recently began using Docker by taking each job which we would normally send to our volunteer computers, and packaging it up inside a Docker container. The volunteer computers themselves come from interested users all over the world who download and run the software allowing them to become volunteers (called BOINC). The system is working exceedingly well and using Docker has made it massively easier for us to develop and run it. I will explain some of the technical details of the implementation, which involves a customized boot2docker ISO, as well give a brief summary of the scientific questions we are trying to answer and how these results made possible by Docker are helping analyze data from, e.g. the European Space Agency's Planck satellite.

DockerCon EU 2015: Finding a Theory of the Universe with Docker and Volunteer...

Docker, Inc.

Intro to Docker October 2013

Docker, Inc.

A Gentle Introduction to Docker and Containers

Docker, Inc.

DockerCon SF 2015: How to Build a Secure DevOps Environment for the Government

Docker, Inc.

Presented by Alois Reitbauer, Chief Technical Evangelist, ruxit This talk provides detailed insights into how to manage large-scale production Docker environments. We will cover how to tune your containerised micro services for ideal performance, validate automated deployments with Marathon and Mesos and tune and manage the deployment complexity of hundreds of nodes. Last but not least we will demonstrate how easy it is to get up and running monitoring Docker using Ruxit.

DockerCon EU 2015: Monitoring and Managing Dynamic Docker Environments

Docker, Inc.

Docker has become an important tool for both startups and the enterprise; providing an easy way to package up and deploy applications and services. As organizations prepare to move to production, they are looking for ways to extend Docker and employ additional security and policy controls for their deployments. This talk will cover: * Adding first class authentication using OAuth2, LDAP, Crowd and Kerberos * Extending Docker deployments with policy and governance * Securing network perimeter of Docker workloads while providing multiple multi-host networking options. The Apcera Platform has always strived to be the best environment for deploying Docker workloads in production. This talk will cover our thinking around secure deployments and how we have extended Docker for our customers.

Authentication and Policy Enforcement for Docker

Docker, Inc.

DockerCon14 John Engates

Docker, Inc.

Mobycraft is a Minecraft client-side mod to manage and visualize Docker containers in Minecraft. This mod can be installed in any standard Minecraft client and allow young kids to learn Docker fundamentals in a fun way. It allowed a 13-year old boy to apply his Minecraft modding skills to pick up Docker concepts such as Engine, Machine, Swarm, and Remote API. This project became a great bonding experience between a father and a son. It allowed them to engage in fun and geeky conversations, such as code reviews and tooling discussion, and thereby building memories for a lifetime.

Mobycraft - Docker in 8-bit by Aditya Gupta

Docker, Inc.

How to Use Your Own Private Registry

Docker, Inc.

In this talk, we will provide a 10,000-ft. overview of the key concepts, architectures, and common deployment scenarios for stateful services. We will cover the Docker volumes and available storage options in the community including ClusterHQ’s Flocker volume manager. After getting the lay of the land, we'll see these concepts in action. Starting by deploying a database container on a single node with UCP, Flocker and VolumeHub. Then, using the features of Docker Swarm and Flocker, we will then allow Swarm to automatically reschedule the stateful service along with Flocker moving its volume when the node fails giving us a HA containerized database.

Everything You Need to Know About Docker and Storage by Ryan Wallner, ClusterHQ

Docker, Inc.

Slides from Kwame “Darth” Yamgnane / Gaëtan “Big Air” Juvin's presentation at DockerCon SF 2015 Talk Description: In July 2013, Detroit, symbol of the US industrial era, dropped down to the most important bankruptcy in the US history, estimated at 20 Billion. The same year, Facebook market cap was 100 Billion. 42 is a school, which tries to give an answer to a wonderful challenge: How to move from an education created to give answers and labor to industries, to an education that will create people who are ready to be citizens of the digital world.

DockerCon SF 2015: Education for a digital world

Docker, Inc.

Developer Week

Docker, Inc.

Viewers also liked (20)

Tyrion Cannister Neural Styles by Dora Korpar and Siphan Bou

LXC Docker and the Future of Software Delivery

DockerCon EU 2015: Compute as an Interruption Forget the Servers

OpenStack Boston

DockerCon 14 Keynote Day 2

Making it Easier to Contribute to Open Source Projects Using Docker Container...

DockerCon14 Performance Characteristics of Traditional VMs vs. Docker Containers

Docker at DevTable

DockerCon EU 2015: Finding a Theory of the Universe with Docker and Volunteer...

Intro to Docker October 2013

A Gentle Introduction to Docker and Containers

DockerCon SF 2015: How to Build a Secure DevOps Environment for the Government

DockerCon EU 2015: Monitoring and Managing Dynamic Docker Environments

Authentication and Policy Enforcement for Docker

DockerCon14 John Engates

Mobycraft - Docker in 8-bit by Aditya Gupta

How to Use Your Own Private Registry

Everything You Need to Know About Docker and Storage by Ryan Wallner, ClusterHQ

DockerCon SF 2015: Education for a digital world

Developer Week

More from Docker, Inc.

Raymond Arifianto, AccelByte and Mark Mandel, Google - We have been deploying containerized micro-services for our Game Backend Services for a while. Now we are tackling the challenge to scale up fleets of game dedicated servers in multiple regions, multiple data centers and multiple providers - some in bare metal, some in Cloud. So we leverage docker containerization to deploy Game Servers to achieve Portability, Fast Deployment and Predictability, enabling us to scale up to thousands of servers, on demand, without a sweat.

Containerize Your Game Server for the Best Multiplayer Experience

Docker, Inc.

Nicholas Dille, Haufe-Lexware + Docker Captain - Docker continues to be the standard tool for building container images. For more than a year Docker ships with BuildKit as an alternative image builder, providing advanced features for secret and cache management. These features help to make image builds faster and more secure. In this session, Docker Captain Nicholas Dille will teach you how to use Buildkit features to your advantage.

How to Improve Your Image Builds Using Advance Docker Build

Docker, Inc.

Lukonde Mwila, Entelect - As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

Build & Deploy Multi-Container Applications to AWS

Docker, Inc.

Kevin Jones, NGNIX - NGINX is one of the most popular images on Docker Hub and has been at the forefront of the web since the early 2000's. In this talk we will discuss how and why NGINX's lightweight and powerful architecture makes it a very popular choice for securing containerized applications as a sidecar reverse proxy within containers. We will highlight important aspects of application security that NGINX can help with, such as TLS, HTTP, AuthN, AuthZ and traffic control.

Securing Your Containerized Applications with NGINX

Docker, Inc.

Kathleen Juell, Digital Ocean - Containers are an essential part of today's microservice ecosystem, as they allow developers and operators to maintain standards of reliability and reproducibility in fast-paced deployment scenarios. And while there are best practices that extend across stacks in containerized environments, there are also things that make each stack distinct, starting with the application image itself. This talk will dive into some of these particularities, both at the image and service level, while also covering general best practices for building and running Node applications with database backends using Docker and Compose.

How To Build and Run Node Apps with Docker and Compose

Docker, Inc.

Hands-on Helm

Docker, Inc.

Jeff Hajewski, Salesforce - There is a wealth of information on building deep learning models with PyTorch or TensorFlow. Anyone interested in building a deep learning model is only a quick search away from a number of clear and well written tutorials that will take them from zero knowledge to having a working image classifier. But what happens when you need to deploy these models in a production setting? At Salesforce, we use TensorFlow models to help us provide customers with insights into their data, and we do this as close to real-time as possible. Designing these systems in a scalable manner requires overcoming a number of design challenges, but the core component is Docker. Docker enables us to design highly scalable systems by allowing us to focus on service interactions, rather than how our services will interact with the hardware. Docker is also at the core of our test infrastructure, allowing developers and data scientists to build and test the system in an end to end manner on their local machines. While some of this may sound complex, the core message is simplicity - Docker allows us to focus on the aspects of the system that matter, greatly simplifying our lives.

Distributed Deep Learning with Docker at Salesforce

Docker, Inc.

James Fuller, webcomposite s.r.o. - Curl is the venerable (yet very modern) 'swiss army knife' command line tool and library for transferring data with URLs. Recently we (the Curl team) decided to build a release for Docker Hub. This talk will outline our current development workflow with respect to the docker image and provide insights on what it takes to build a docker image for mass public consumption. We are also keen to learn from users and other developers how we might improve and enhance the official curl docker image.

The First 10M Pulls: Building The Official Curl Image for Docker Hub

Docker, Inc.

Fabian Stäber, Instana - In recent years, we saw a great paradigm shift in software engineering away from static monolithic applications towards dynamic distributed horizontally scalable architectures. Docker is one of the key technologies enabling this development. This shift poses a lot of new challenges for application monitoring, ranging from practical issues (need for automation) to technical challenges (Docker networking) to organizational topics (blurring line between software engineers and operations) to fundamental questions (define what is an application). In this talk we show how Docker changed the way we do monitoring, how modern application monitoring systems work, and what future developments we expect.

Monitoring in a Microservices World

Docker, Inc.

Clemente Biondo, Engineering Ingegneria Informatica - When the COVID 19 pandemic started, Engineering Ingegneria Informatica Group (1.25 billion euros of revenues, 65 offices around the world, 12.000 employees) was forced to put their digital transformation to the test in order to maintain operational continuity. In this session, Clemente Biondo, the Tech Lead of the Information Systems Department, will share how his company is reacting to this unforeseeable scenario and how Docker-driven digital transformation had paved the path for work to continue remotely. Clemente will discuss learnings moving from colocated teams, manual approaches, email based-business processes, and a monolithic application to a mature DevOps culture characterized by a distributed autonomous workforce and a continuous deployment process that deploys backward-compatible Docker containerized microservices into hybrid multi cloud datacenters an average of twice a day with zero-downtime. He will detail how they use Docker to unify dev, test and production environments, and as an efficient and automated mechanism for deploying applications. Lastly, Clemente shares how, in our darkest hour, he and others are working to shine their brightest light.

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...

Docker, Inc.

Chris Lauer, NOAA Space Weather Prediction Center - This is the story of how adopting a containerized workflow changed the way our small software team works at NOAA’s Space Weather Prediction Center. Our old architecture, a big ball of mud shared-database integration, just wasn’t cutting it - it was killing our agility. Over the past two years, our small team has adopted a microservice style architecture, using Docker with docker-compose and environment files as our deployment strategy for all new development. We’ve discovered the joys of using containers for identical dev, staging, and production environments. We work closely with scientists: much of the code we’re running has complicated and conflicting library dependencies. Docker captures these beautifully - we’ve even had some success teaching our scientists to use it! I’ll share what we’ve learned, some of the persistent challenges we face, and one place we really got it wrong. This talk builds off of a popular hallway track from DockerCon 2019.

Predicting Space Weather with Docker

Docker, Inc.

Brian Christner, 56k + Docker Captain - In this session, we will unlock the full potential of using Microsoft Visual Studio Code (VS Code) and Docker Desktop to turn you into a Docker Power User. When we expand and utilize the VS Code Docker plugin, we can take our projects and Docker skills to the next level. In addition to using VS Code, we streamline our Docker Desktop development workflow with less context switching and built-in shortcuts. You will learn how to bootstrap new projects, quickly write Dockerfiles utilizing templates, build, run, and interact with containers all from VS Code.

Become a Docker Power User With Microsoft Visual Studio Code

Docker, Inc.

How to Use Mirroring and Caching to Optimize your Container Registry

Docker, Inc.

Ashish Sharma, SS&C Eze - SS&C Eze provides various products in the stock market domain. We spent the last couple of years building Eclipse which is an investment suite born in cloud. The journey so far has been very interesting. The very first version of the product were a bunch of monolithic windows services and deployed using Octopus tool. We successfully managed to bring all the monolithic problem to the cloud and created a nightmare for ourselves. We then started applying microservices architecture principles and started breaking the monolithic into small services. Very soon we realized that we need a better packaging/deployment tool. Docker looked like a magical solution to our problem. Since its adoption, It has not only solved the deployment problem for us but has made a deep impact on different aspects of SDLC. It allowed us to use heterogeneous technology stacks, simplified development environment setup, simplified our testing strategy, improved our speed of delivery, and made our developers more productive. In this talk I would like to share our experience of using Docker and its positive impact on our SDLC.

Monolithic to Microservices + Docker = SDLC on Steroids!

Docker, Inc.

Ara Pulido, Datadog - Container technologies, although not new, have increased their popularity in the past few years, with container orchestrators allowing companies around the world to adopt these technologies to help them ship and scale microservices with precision and velocity. Kubernetes is currently the most popular container orchestration platform, and while many organizations are migrating their workloads to it, Kubernetes is still relatively immature. New corner cases, errors, and quirks are regularly discovered as users push the boundaries of size and scale. When Datadog adopted Kubernetes we discovered some of these boundaries the hard way, and we continuously challenge and modify our infrastructure decisions in order to fit our use case. Join me in this talk for our story on what we learned while we scaled our Kubernetes clusters, the contributions to Kubernetes we made along the way, and how you can apply those learnings when growing your Kubernetes clusters from a handful to hundreds or thousands of nodes.

Kubernetes at Datadog Scale

Docker, Inc.

Andy Clemenko, StackRox - One underutilized, and amazing, thing about the docker image scheme is labels. Labels are a built in way to document all aspects about the image itself. Think about all the information that the tags inside your clothing carry. If you care to look you can find out everything about the garment. All that information can be very valuable. Now think about how we can leverage labels to carry similar information. We can even use the labels to contain Docker Compose or even Kubernetes Yaml. We can even include labels into the CI/CD process making things more secure and smoother. Come find out some fun techniques on how to leverage labels to do some fun and amazing things.

Labels, Labels, Labels

Docker, Inc.

Patrick Deloulay, Micro Focus - Micro Focus started their digital transformation 3 years ago, moving the entire portfolio into hundreds of container images. Leveraging Docker Hub as our primary registry service, we will cover how we ended up building a simple but secure push/pull model to publish and deliver our premium assets to our customers and partners to both meet the high agility of our DevOps teams while greatly simplifying the deployment of our applications.

Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

Docker, Inc.

Lukonde Mwila, Entelect As the cloud-native approach to development and deployment becomes more prevalent, it's an exciting time for software engineers to be equipped on how to dockerize multi-container applications and deploy them to the cloud. In this talk, Lukonde Mwila, Software Engineer at Entelect, will cover the following topics: - Docker Compose - Containerizing an Nginx Server - Containerizing an React App - Containerizing an Node.JS App - Containerizing anMongoDB App - Runing Multi-Container App Locally - Creating a CI/CD Pipeline - Adding a build stage to test containers and push images to Docker Hub - Deploying Multi-Container App to AWS Elastic Beanstalk Lukonde will start by giving an overview of how Docker Compose works and how it makes it very easy and straightforward to startup multiple Docker containers at the same time and automatically connect them together with some form of networking. After that, Lukonde will take a hands on approach to containerize an Nginx server, a React app, a NodeJS app and a MongoDB instance to demonstrate the power of Docker Compose. He'll demonstrate usage of two Docker files for an application, one production grade and the other for local development and running of tests. Lastly, he'll demonstrate creating a CI/CD pipeline in AWS to build and test our Docker images before pushing them to Docker Hub or AWS ECR, and finally deploying our multi-container application AWS Elastic Beanstalk.

Build & Deploy Multi-Container Applications to AWS

Docker, Inc.

Elton Stoneman, Docker Captain + Container Consultant and Trainer How do you provide a SaaS offering when your product is a 10-year old Fortran app, currently built to run on Windows 10? With Docker and Kubernetes of course - and you can do it in a week (... to prototype level at least). In this session I'll walk through the processes and practicalities of taking an older Windows app, making it run in containers with Kubernetes, and then building a simple API wrapper to host the whole stack as a cloud-based SaaS product. There's a lot of technology here from a real world case study, and I'll focus on: - running Windows apps in Docker containers - building a .NET Core API which can run in Linux or Windows containers - running the stack in Kubernetes with Docker Desktop locally and AKS in the cloud - configuring AKS workloads in Azure to burst out to Azure Container Instances And there's a core theme to this session: Docker and Kubernetes are complex technologies, but they're the key to modern development. If you invest time learning them, they make projects like this simple, portable, fast and fun.

From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...

Docker, Inc.

This virtual meetup introduces the concepts and best practices of using Docker containers for software development for the Arm architecture across a variety of hardware systems. Using Docker Desktop on Windows or Mac, Amazon Web Services (AWS) A1 instances, and embedded Linux, we will demonstrate the latest Docker features to build, share, and run multi-architecture images with transparent support for Arm.

Developing with Docker for the Arm Architecture

Docker, Inc.

More from Docker, Inc. (20)

Containerize Your Game Server for the Best Multiplayer Experience

How to Improve Your Image Builds Using Advance Docker Build

Build & Deploy Multi-Container Applications to AWS

Securing Your Containerized Applications with NGINX

How To Build and Run Node Apps with Docker and Compose

Hands-on Helm

Distributed Deep Learning with Docker at Salesforce

The First 10M Pulls: Building The Official Curl Image for Docker Hub

Monitoring in a Microservices World

COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...

Predicting Space Weather with Docker

Become a Docker Power User With Microsoft Visual Studio Code

How to Use Mirroring and Caching to Optimize your Container Registry

Monolithic to Microservices + Docker = SDLC on Steroids!

Kubernetes at Datadog Scale

Labels, Labels, Labels

Using Docker Hub at Scale to Support Micro Focus' Delivery and Deployment Model

Build & Deploy Multi-Container Applications to AWS

From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration S...

Developing with Docker for the Arm Architecture

Recently uploaded

Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)

Julian Hyde

Screen flow is a powerful automation tool that is commonly designed for internal and external users. However, what about the guest users? We will dive into various methods of launching screen flows and understand how to make them publicly accessible, extending their usability to a broader audience. The presentation will also cover the implementation of security layers and highlight best practices for a smooth and protected user experience. Discover the potential of screen flows beyond conventional use and learn how to leverage them effectively.

Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade

CzechDreamin

In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

Inflectra

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Product School

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Discover the essentials of performance testing in the IT sector with our concise guide. Learn about various testing types such as load, stress, endurance, spike, scalability, and volume testing. Understand key performance metrics like response time, throughput, CPU and memory utilization, and error rate. Explore top tools like Apache JMeter, LoadRunner, Gatling, Neoload, and BlazeMeter. Gain insights into best practices for defining objectives, creating realistic scenarios, automating tests, and optimizing performance to ensure user satisfaction, reliability, scalability, and cost efficiency. Ideal for developers, QA engineers, and IT professionals. Visit Expeed Software for more information. https://expeed.com/

In-Depth Performance Testing Guide for IT Professionals

Expeed Software

The standard Salesforce Approval process can be limiting in many ways, especially in complex scenarios. What if there was a way to implement very flexible approvals where one can use Apex code to make data updates in unrelated records, dynamically generate next steps details, and compute assignees on the fly? And still use UI-based configurations to implement concrete approval processes. In this session, we will share ideas behind such a solution and show a few lines of code to get you started.

Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder

CzechDreamin

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias Schneck

How world-class product teams are winning in the AI era by CEO and Founder, P...

Product School

ScyllaDB has the potential to deliver impressive performance and scalability. The better you understand how it works, the more you can squeeze out of it. But before you squeeze, make sure you know what to monitor! Watch our experienced Postgres developer work through monitoring and performance strategies that help him understand what mistakes he’s made moving to NoSQL. And learn with him as our database performance expert offers friendly guidance on how to use monitoring and performance tuning to get his sample Rust application on the right track. This webinar focuses on using monitoring and performance tuning to discover and correct mistakes that commonly occur when developers move from SQL to NoSQL. For example: - Common issues getting up and running with the monitoring stack - Using the CQL optimizations dashboard - Common issues causing high latency in a node - Common issues causing replica imbalance - What a healthy system looks like in terms of memory - Key metrics to keep an eye on This isn’t “Death-by-Powerpoint.” We’ll walk through problems encountered while migrating a real application from Postgres to ScyllaDB – and try to fix them live as well.

Optimizing NoSQL Performance Through Observability

ScyllaDB

Speed Wins: From Kafka to APIs in Minutes

confluent

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Product School

We're living the AI revolution and Salesforce is adapting and bring new value to their customers. Einstein products are evolving rapidly and navigating their limitations, language support, and use cases can be challenging. Let's make review of what Einstein product are available currently, what are the capabilities and what can be used for in CEE region and how Rossie.ai can help to learn Salesforce speak Czech. We will explore the Einstein roadmap and I will make a short live demo (based on your vote) of some Einstein feature.

AI revolution and Salesforce, Jiří Karpíšek

CzechDreamin

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Explore the core of Salesforce success in 'Salesforce Adoption – Metrics, Methods, and Motivation.' We will discuss essential metrics, effective methods to drive adoption, and the driving force behind user engagement and explore strategies for onboarding, training, and continuous support that empower users to navigate the platform seamlessly. By leveraging these tools, you can effectively measure adoption against your company’s goals and create an environment where users not only adopt Salesforce but actively contribute to its ongoing success.

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

CzechDreamin

Ever caught yourself nodding along when someone mentions "delivering value" in Agile, but secretly wondering what the heck they actually mean? You're not alone! Join us for an eye-opening session where we'll strip away the buzzwords and dive into the heart of Agile—value delivery. But what is "value"? Is it a mythical unicorn in the world of software development, or is there more to this overused term? This isn't going to be a sit-and-get lecture. We're talking about a face-to-face, interactive meetup where YOU play a crucial role. Come along to: Define It: What does "value" really mean? We’ll build a definition that’s not just words, but a compass for your Agile journey. Contextualise It: Discover what value means specifically to you, your team, your company, and your industry. Because one size does not fit all. Deliver It: Share strategies and gather new ones for uncovering and delivering true value—no more shooting in the dark!

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

David Michel

PLAI - Acceleration Program for Generative A.I. Startups

Stefano

You’ve heard good data matters in Machine Learning, but does it matter for Generative AI applications? Corporate data often differs significantly from the general Internet data used to train most foundation models. Join me for a demo on building an open source RAG (Retrieval Augmented Generation) stack using Milvus vector database for Retrieval, LangChain, Llama 3 with Ollama, Ragas RAG Eval, and optional Zilliz cloud, OpenAI.

Introduction to Open Source RAG and RAG Evaluation

Zilliz

Welcome to UiPath Test Automation using UiPath Test Suite series part 2. In this session, we will cover API test automation along with a web automation demo. Topics covered: Test Automation introduction API Example of API automation Web automation demonstration Speaker Pathrudu Chintakayala, Associate Technical Architect @Yash and UiPath MVP Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

UiPath Test Automation using UiPath Test Suite series, part 2

DianaGray10

What's New in Teams Calling, Meetings and Devices April 2024

Stephanie Beckett

Recently uploaded (20)

Measures in SQL (a talk at SF Distributed Systems meetup, 2024-05-22)

Free and Effective: Making Flows Publicly Accessible, Yumi Ibrahimzade

Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered Quality

From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...

Essentials of Automations: Optimizing FME Workflows with Parameters

In-Depth Performance Testing Guide for IT Professionals

Custom Approval Process: A New Perspective, Pavel Hrbacek & Anindya Halder

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

How world-class product teams are winning in the AI era by CEO and Founder, P...

Optimizing NoSQL Performance Through Observability

Speed Wins: From Kafka to APIs in Minutes

Designing Great Products: The Power of Design and Leadership by Chief Designe...

AI revolution and Salesforce, Jiří Karpíšek

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Salesforce Adoption – Metrics, Methods, and Motivation, Antone Kom

Unpacking Value Delivery - Agile Oxford Meetup - May 2024.pptx

PLAI - Acceleration Program for Generative A.I. Startups

Introduction to Open Source RAG and RAG Evaluation

UiPath Test Automation using UiPath Test Suite series, part 2

What's New in Teams Calling, Meetings and Devices April 2024