Where should I run my code? Serverless, Containers, Virtual Machines and more

Google slide version of this slide can be accessed from: https://docs.google.com/presentation/d/1Ws73JxlVH39HiKiYuF3vW903j8wFzxPQihXz4CQ_HZM/edit?usp=sharing

gRPC is a high performance, language-neutral, general RPC framework developed and open sourced by Google. Built on the HTTP/2 standard, gRPC brings many benefits such as bidirectional streaming, flow control, header compression, multiplexing and more. In this session, you will learn about gRPC and how you can use it in your applications.

Cliff Crocker discusses best practices for measuring what matters and applying an understandable methodology that achieves what we are all after: happier users.

At Fluent Conference 2018, Nic Jansma and Charles Vazac perform an honest audit of several popular third-party libraries to understand their true cost to your site, exploring loading patterns, SPOF avoidance, JavaScript parsing, long tasks, runtime overhead, polyfill headaches, security and privacy concerns, and more. They also share tools to help you decide if a library’s risks and unseen costs are worth it.

Google Cloud Platform itself has been on a very rapid rise over the past few years. It has a lot of advantages over AWS or Microsoft Azure. In this slideshow, you can learn more about these top advantages. For more details, you can also read this post https://kinsta.com/blog/google-cloud-hosting/

Google App Engine is a platform as a service that allows developers to build and host web applications at scale on Google's infrastructure. It handles all the complexities of scaling such as automatically increasing the number of application instances in response to traffic. Developers can write code in Python and other languages and App Engine provides APIs for common services like email, storage, databases and more so additional setup is not needed. It also automatically sends code to the nearest data center based on user location for fast performance.

The document provides information about Simon Su and his expertise in Google Dataflow. It includes Simon's contact information and links to his online profiles. It then discusses Simon's areas of specialization including data scientist, data engineer, and frontend engineer. The document proceeds to provide information about preparing for a Google Dataflow workshop, including documents and labs to review. It also discusses Google Cloud services for data processing and analysis like Dataflow, BigQuery, Pub/Sub, and Dataproc. Finally, it outlines the agenda for the workshop, which will include hands-on labs to deploy users' first Dataflow project and create a streaming Dataflow model.

Join this session to understand how Cloud Workflows resolves challenges in connecting services, HTTP based service orchestration and automation. We are going to dive deep how serverless HTTP service automation works to automate step engines. Based on practical examples we will demonstrate the built-in decision and conditional executions, subworkflows, support for external built-in API calls, and integration with any Google Cloud product without worrying about authentication. We are going to cover Marketing, Retail, Industrial and Developer possibilities, such as event driven marketing workflow execution, or inventory chain operations, generating and automatic state machines, or orchestrate DevOps workflows and automating the Cloud.

Cloud Computing: Cloud computing is the delivery of different services through the Internet. These resources include tools and applications like data storage, servers, databases, networking, and software.

Google Cloud Dataflow can be used to build TensorFlow pipelines. Dataflow allows training multiple TensorFlow models in parallel and writing results to Cloud Datastore. A sample pipeline shows generating training parameters, mapping over them to train models, and writing accuracy results to Cloud Storage. Dataflow provides autoscaling and machine types can be configured. The new DatastoreIO allows reading from and writing to Cloud Datastore from Dataflow pipelines using Protobuf and entity conversion helpers.

This document provides an overview and introduction to Google Cloud Platform products and services including Cloud Datastore, Cloud Storage, Cloud SQL, BigQuery, App Engine, Compute Engine, and more. Key features and benefits are highlighted for each service such as scalability, availability, developer tools and SDKs, pricing models, and comparisons to other cloud offerings. Code samples and steps to get started with the services are also provided.

This document provides an overview of a Firebase workshop. It introduces Firebase services like Authentication, Realtime Database, Cloud Functions, and Cloud Storage. For each service, it discusses what it is, how it works, use cases, and recommendations for using it correctly. It also includes examples using Github repos. The workshop concludes with a Kahoot quiz and a request for feedback.

Optimizing web app delivery speed with PRPL pattern. Interactive demo with Webpack and React sample code. Project available with an incremental 7-step process for free on GitHub. Presentation from Split.JS Meetup. GitHub project: https://github.com/ModusCreateOrg/react-dynamic-route-loading-es6/tree/steps/6-no-helmet-scripttags

This document provides an overview of Google Compute Engine (GCE), including what it is, the benefits of using it, how to get started, and how to work with the GCE web console and APIs. It demonstrates how to create GCE instances, connect to them using gcutil, and program with the GCE APIs in Java. It also discusses related Google Cloud services and resources for developers.

Introduction to Google Cloud data analysis and machine learning technologies, including DialogFlow and ML APIs.

Presentation at Google DevFest Ahmedabad, December 2014. This talk gives an overview of Google Cloud Platform and then goes into Cloud Endpoints and building out a simple IoT Project

Getting Started with Google's Infrastructure is summarized as follows: 1. Google Cloud Platform provides infrastructure services including virtual machines, networking, and storage hosted on Google's global network of data centers. 2. Google Compute Engine is an infrastructure as a service offering that allows users to launch and manage virtual machine instances. 3. The document provides an overview of Google Compute Engine including machine types, regions, persistent disks, load balancing, and pricing models.

Talk by Daniel Leahy and Nic Gibson, given at the Google Cloud Meetup on March 3, 2020, hosted by Nine Internet Solutions AG - Your Swiss Managed Cloud Service Provider.

This document provides an overview of microservice architecture on Kubernetes. It discusses: 1. Benefits of microservice architecture like independent deployability and scalability compared to monolithic applications. 2. Best practices for microservices including RESTful design, distributed configuration, client code generation, and API gateways. 3. Tools for microservices on Kubernetes including Prometheus for monitoring, Elasticsearch (ELK) stack for logging, service meshes, and event sourcing with CQRS.

This document discusses containerizing GPU applications with Docker to enable scaling to the cloud. It describes how containers can solve problems of hardware and software portability by allowing applications to run consistently across different infrastructure. The document demonstrates how to build a GPU container using Dockerfiles and deploy it across multiple clouds. It also introduces Boost Containers which combine Bitfusion Boost technology with containers to build virtual GPU machines and clusters, enabling flexible scheduling of GPU workflows without code changes.

This talk was given at the Cloud Native Aarhus meetup at May 30rd 2017. Focus is on how we use Cloud Native projects at Lunar Way.

Join this workshop and accelerate your journey to production-ready Kubernetes by learning the practical techniques for reliably operating your software lifecycle using the GitOps pattern. The Weaveworks team will be running a full-day workshop, sharing their expertise as users and contributors of Kubernetes and Prometheus, as well as followers of GitOps (operations by pull request) practices. Using a combination of instructor led demonstrations and hands-on exercises, the workshop will enable the attendee to go into detail on the following topics: • Developing and operating your Kubernetes microservices at scale • DevOps best practices and the movement towards a “GitOps” approach • Building with Kubernetes in production: caring for your apps, implementing CI/CD best practices, and utilizing the right metrics, monitoring tools, and automated alerts • Operating Kubernetes in production: Upgrading and managing Kubernetes, managing incident response, and adhering to security best practices for Kubernetes

The talk gives a state of the art update of experiences with deploying applications in Kubernetes on scale. If in clouds or on premises, Kubernetes took over the leading role as a container operating system. The central paradigm of stateless containers connected to storage and services is the core of Kubernetes. However, it can be extended to distributed databases, Machine Learning, Windows VMs in Kubernetes. All these applications have been considered as edge cases a few years ago, however, are going more and more mainstream today.

Cloud Native Night, April 2018, Mainz: Workshop led by Jörg Schad (@joerg_schad, Technical Community Lead / Developer at Mesosphere) Join our Meetup: https://www.meetup.com/de-DE/Cloud-Native-Night/ PLEASE NOTE: During this workshop, Jörg showed many demos and the audience could participate on their laptops. Unfortunately, we can't provide these demos. Nevertheless, Jörg's slides give a deep dive into the topic. DETAILS ABOUT THE WORKSHOP: Kubernetes has been one of the topics in 2017 and will probably remain so in 2018. In this hands-on technical workshop you will learn how best to deploy, operate and scale Kubernetes clusters from one to hundreds of nodes using DC/OS. You will learn how to integrate and run Kubernetes alongside traditional applications and fast data services of your choice (e.g. Apache Cassandra, Apache Kafka, Apache Spark, TensorFlow and more) on any infrastructure. This workshop best suits operators focussed on keeping their apps and services up and running in production and developers focussed on quickly delivering internal and customer facing apps into production. You will learn how to: - Introduction to Kubernetes and DC/OS (including the differences between both) - Deploy Kubernetes on DC/OS in a secure, highly available, and fault-tolerant manner - Solve operational challenges of running a large/multiple Kubernetes cluster - One-click deploy big data stateful and stateless services alongside a Kubernetes cluster

This document provides an overview of Docker and cloud native training presented by Brian Christner of 56K.Cloud. It includes an agenda for Docker labs, common IT struggles Docker can address, and 56K.Cloud's consulting and training services. It discusses concepts like containers, microservices, DevOps, infrastructure as code, and cloud migration. It also includes sections on Docker architecture, networking, volumes, logging, and monitoring tools. Case studies and examples are provided to demonstrate how Docker delivers speed, agility, and cost savings for application development.

Trilha Cloud Computing How we figured out we had a SRE team at - Containers, Kubernetes and Google Cloud

Docker Enterprise Workshop, more technical presentation: - Docker 101 - Kubernetes in Docker - Windows containers

(From 2018) Kubernetes and Istio provide a great foundation for orchestrating, monitoring, and scaling your apps. They're open source and work great in your data center or in any major cloud. Meanwhile, the serverless development model has empowered devs to build software faster than ever by eliminating concerns like scaling, networking, load balancing, OS patching, etc. Come learn how you can combine the power of Kubernetes with the ease of use of serverless to create new, powerful and flexible development experiences. See me give this talk in 2018 at https://www.youtube.com/watch?v=bYxOx9tcYDE&ab_channel=Devoxx ---- About Bret McGowen Bret is a Developer Advocate for Serverless on the Google Cloud Platform team at Google, focusing on serverless products like Google Cloud Functions, App Engine, Firebase, machine learning APIs, and more. He's currently an aspiring Node.js developer. Prior to Google, Bret worked as a software engineer in the cloud industry at Rackspace. Before that, he led engineering teams at e-commerce and non-profits and tried his hand at creating two startups. He's often on the running trail, volleyball court or kickball field. Bret earned a bachelor’s degree in computer science from Texas A&M University. Reach Bret on Twitter at @bretmcg

Infrastructure-related skills are essential for developers in cross-functional teams who build microservices for the cloud. Becoming proficient in infrastructure development is not just about understanding the hardware and software components on top of which applications run in the cloud. It's also about being able to use the tools that provide virtual access to this infrastructure and enable us to provision, configure, monitor it, and deploy applications to it. In this talk Gesa shares how building a Kubernetes cluster of Raspberry Pis and serving applications from it can help in acquiring fundamental infrastructure skills.

This document provides an overview of the history and evolution of cloud computing models. It discusses how cloud computing has moved from traditional on-premises software to software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). It also describes how containers helped revolutionize IT by providing standardized, portable, and efficient application packaging and deployment. The document outlines some of the key benefits that containers provide to customers and discusses related technologies like Kubernetes for container orchestration.

This document provides an overview of enabling cognitive workloads on the cloud using GPUs with Mesos, Docker, and Marathon on IBM's POWER systems. It discusses requirements for GPUs in the cloud like exposing GPUs to containers and supporting multiple GPUs per node. It also summarizes Mesos and Kubernetes support for GPUs, and demonstrates running a deep learning workload on OpenPOWER hardware to identify dog breeds using Docker containers and GPUs.

As a k8s cluster-admin your app teams have a certain expectation of your cluster to be available to deploy services at any time without problems. While there is no shortage on metrics in k8s its important to have the right metrics to alert on issues and giving you enough data to react to potential availability issues. Prometheus has become a standard and sheds light on the inner behaviour of Kubernetes clusters and workloads. Lots of KPIs (CPU, IO, network. Etc) in our On-Premise environment are less precise when we start to work in a Cloud environment. Ebpf is the perfect technology that fulfills that requirement as it gives us information down to the kernel level. In 2018 Cloudflare shared an opensource project to expose custom ebpf metrics in Prometheus. Join this session and learn about: • What is ebpf? • What type of metrics we can collect? • How to expose those metrics in a K8s environment. This session will try to deliver a step-by-step guide on how to take advantage of the ebpf exporter.

This document discusses microservices and containers. It provides an overview of microservices architecture compared to monolithic architecture, highlighting that microservices are composed of many small, independent services with separate deployments and databases. It then discusses containers and how Docker is used to package and run applications in isolated containers. Finally, it introduces Kubernetes as a container orchestration system to manage and scale multiple containerized applications across a cluster of machines.

Az előadás témája hogyan építhető fel egy rugalmas, jól skálázható szolgáltatás a felhőszolgáltatók platformjain. Hogyan lehet megoldani, hogy a szolgáltatás, amelynek induláskor legfeljebb néhány tíz vagy száz felhasználót kell kiszolgálnia, akár több ezer vagy nagyságrendekkel több felhasználót is képes legyen kiszolgálni rugalmasan? Hátradőlni és csodálni az autoscaling funkciót a Black Friday napján. Beszélni fogunk virtualizációról, platformszintű virtualizációről, szuperkönnyű alkalmazáskonténerekről, a munkaterhek közel valósidejű “pakolgatásával”. Bemutatásra kerül a Google Cloud Platform számos komponense. Bankok, biztosítók, webshopok és így tovább mind a cloudban látják a kitörési pontot.

Sprekers: Stijn Van den Enden & Stijn Wijndaele (ACA IT-Solutions) DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe. In deze avondconferentie werd, na een korte toelichting over DevOps, nagegaan wat Docker en de Cloud kunnen betekenen voor uw business, en hoe zij als enablers kunnen dienen voor het tot stand brengen van een DevOps-cultuur. Het container-landschap waarvan tools zoals Kubernetes, Docker Swarm, ...een belangrijk onderdeel vormen, wordt toegelicht en er wordt ingegaan op de wijze waarop deze tools aangewend kunnen worden om 'development' en 'operations' efficiënt te laten samenwerken.

DevOps is gericht op het tot stand brengen van een cultuur binnen organisaties waardoor het ontwikkelen, valideren en releasen van software sneller, meer betrouwbaar en frequenter kan verlopen. Om dit te realiseren staan het automatiseren van het 'software delivery process' en de bijhorende infrastructurele veranderingen centraal. Door de opkomst van 'Microservice Architecture' neemt het belang hiervan nog verder toe.

Kubernetes: від знайомства до використання у CI/CD Олександр Занічковський Technical Lead у компанії SoftServe 14+ років досвіду розробки різноманітного програмного забезпечення, як для десктопа, так і для веб Працював фріланс-програмістом та в команді Цікавиться архітектурою ПЗ, автоматизацією процесів інтеграції та доставки нових версій продукту, хмарними технологіями Віднедавна займається менторінгом майбутніх техлідів У вільний від роботи час грає на гітарі і мріє про велику сцену Олександр поділиться власним досвідом роботи з Kubernetes: ознайомить з базовими поняттями та примітивами K8S опише можливі сценарії використання Kubernetes для CI/CD на прикладі GitLab покаже, як можна використовувати постійне сховище, збирати метрики контейнерів, використовувати Ingress для роутинга запитів за певними правилами покаже, як можна самому встановити K8S для ознайомлення чи локальної роботи

We are honored to launch and host this event for our UiPath Polish Community, with the help of our partners - Proservartner! We certainly hope we have managed to spike your interest in the subjects to be presented and the incredible networking opportunities at hand, too! Check out our proposed agenda below 👇👇 08:30 ☕ Welcome coffee (30') 09:00 Opening note/ Intro to UiPath Community (10') Cristina Vidu, Global Manager, Marketing Community @UiPath Dawid Kot, Digital Transformation Lead @Proservartner 09:10 Cloud migration - Proservartner & DOVISTA case study (30') Marcin Drozdowski, Automation CoE Manager @DOVISTA Pawel Kamiński, RPA developer @DOVISTA Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 09:40 From bottlenecks to breakthroughs: Citizen Development in action (25') Pawel Poplawski, Director, Improvement and Automation @McCormick & Company Michał Cieślak, Senior Manager, Automation Programs @McCormick & Company 10:05 Next-level bots: API integration in UiPath Studio (30') Mikolaj Zielinski, UiPath MVP, Senior Solutions Engineer @Proservartner 10:35 ☕ Coffee Break (15') 10:50 Document Understanding with my RPA Companion (45') Ewa Gruszka, Enterprise Sales Specialist, AI & ML @UiPath 11:35 Power up your Robots: GenAI and GPT in REFramework (45') Krzysztof Karaszewski, Global RPA Product Manager 12:20 🍕 Lunch Break (1hr) 13:20 From Concept to Quality: UiPath Test Suite for AI-powered Knowledge Bots (30') Kamil Miśko, UiPath MVP, Senior RPA Developer @Zurich Insurance 13:50 Communications Mining - focus on AI capabilities (30') Thomasz Wierzbicki, Business Analyst @Office Samurai 14:20 Polish MVP panel: Insights on MVP award achievements and career profiling

How do we build an IoT product, and make it profitable? Talk from the IoT meetup in March 2024. https://www.meetup.com/iot-sweden/events/299487375/

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

Invited Remote Lecture to SC21 The International Conference for High Performance Computing, Networking, Storage, and Analysis St. Louis, Missouri November 18, 2021

Everything that I found interesting last month about the irresponsible use of machine intelligence

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

Your comprehensive guide to RPA in healthcare for 2024. Explore the benefits, use cases, and emerging trends of robotic process automation. Understand the challenges and prepare for the future of healthcare automation

Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).

If you’ve ever had to analyze a map or GPS data, chances are you’ve encountered and even worked with coordinate systems. As historical data continually updates through GPS, understanding coordinate systems is increasingly crucial. However, not everyone knows why they exist or how to effectively use them for data-driven insights. During this webinar, you’ll learn exactly what coordinate systems are and how you can use FME to maintain and transform your data’s coordinate systems in an easy-to-digest way, accurately representing the geographical space that it exists within. During this webinar, you will have the chance to: - Enhance Your Understanding: Gain a clear overview of what coordinate systems are and their value - Learn Practical Applications: Why we need datams and projections, plus units between coordinate systems - Maximize with FME: Understand how FME handles coordinate systems, including a brief summary of the 3 main reprojectors - Custom Coordinate Systems: Learn how to work with FME and coordinate systems beyond what is natively supported - Look Ahead: Gain insights into where FME is headed with coordinate systems in the future Don’t miss the opportunity to improve the value you receive from your coordinate system data, ultimately allowing you to streamline your data analysis and maximize your time. See you there!

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.

Cybersecurity is a major concern in today's connected digital world. Threats to organizations are constantly evolving and have the potential to compromise sensitive information, disrupt operations, and lead to significant financial losses. Traditional cybersecurity techniques often fall short against modern attackers. Therefore, advanced techniques for cyber security analysis and anomaly detection are essential for protecting digital assets. This blog explores these cutting-edge methods, providing a comprehensive overview of their application and importance.

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Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.

These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.

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Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980

Everything that I found interesting about engineering leadership last month