From Fortran on the Desktop to Kubernetes in the Cloud: A Windows Migration Story
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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.
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This document discusses using Docker to move workloads to the cloud. It compares Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Containers as a Service (CaaS). It also demonstrates how to build and run Windows containers with Docker, including .NET and ASP.NET applications, and provides examples of deploying Docker containers to Microsoft Azure.
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Developer South Coast 2018: Modernizing .NET Apps with Docker
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Continuous Integration with Cloud Foundry Concourse and Docker on OpenPOWER
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Continuous Delivery to Kubernetes with Jenkins and Helm
Continuous Delivery to Kubernetes with Jenkins and Helm
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Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
One of the biggest advantages Kubernetes has to offer is that it is agnostic to infrastructure and capable of managing diverse workloads running on different compute resources. This allows organizations to manage multiple developer platforms, who can operate across many environments such as on premise, hybrid and multiple clouds.
Streamlined processes and automation is pivotal for operations when managing clusters at scale and maintaining security and policy checks. Paul Curtis, Principal Solutions Architect will demonstrate GitOps and Weave Kubernetes Platform in a hybrid and multi-cloud setup.
Learn how to:
Use model-driven automation to increases reliability and stability across environments
Simplify multi-cluster management with GitOps
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Improve utilization and capacity management through Kubernetes platforms on cloud and on-premise infrastructure
Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
One of the biggest advantages Kubernetes has to offer is that it is agnostic to infrastructure and capable of managing diverse workloads running on different compute resources. This allows organizations to manage multiple developer platforms, who can operate across many environments such as on premise, hybrid and multiple clouds.
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Learn how to:
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Improve utilization and capacity management through Kubernetes platforms on cloud and on-premise infrastructure
Automate Workflows With The Open-source Cloud-native Tool Boomerang Flow
In the cloud-native workflow automation world, there are many great open-source projects such as Argo, Airflow, and Brigade.
These tools require technical expertise to be used by business users, or they are aligned with a specific use case such as CI/CD. Boomerang Flow is an alternative tool that is usable by a business user but also provides an extensible framework developers can use for new use cases.
It aims to replace Robotic Process Automation flows, which don’t necessarily need to be full-blown bots.
And it doesn’t try to tackle use cases such as screen-scraping legacy green text applications. Instead, it tries to solve the problem where enterprises are using bots to perform tasks such as receiving a service now ticket and automatically moving it to a special status or workflow queue. These types of scenarios can be automated using Boomerang Flow. And the cost of running these workflows in Kubernetes is fractions of the cost of running an RPA bot for licensing.
Presenters: Tyson W Lawrie, head of engineering - IBM, Marcus D Roy, Senior Lead Software engineer - IBM, and Benjamin Ruby, Analytics Consultant - IBM
Recording link: https://youtu.be/-lOninwMoz4
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Learn to create cutting-edge mobile applications using QML and JavaScript on MeeGo devices. Know how to apply some advanced graphics and animations with simple QML and see how JavaScript allows you to create a feature rich application. No C++ required. A tutorial with live demos targeted to beginner to intermediate Mobile developers interested in developing mobile applications on Linux based mobile devices.
IVY: an overview
Ivy is Angular's next-generation compiler that will provide improved performance, smaller bundle sizes, and a faster initial loading time. It completely rewrites Angular's compiling and rendering pipeline using an incremental DOM approach. Ivy is currently opt-in for Angular 8 but will be the default in Angular 9. Early tests show faster builds, faster serving of changes, and smaller production bundles compared to the current view engine.
PratheshBV_Resume
This document contains a resume and summary of qualifications for Prathesh B V. He has over 50 months of experience in information technology, including experience with software development, continuous integration tools, UNIX/Linux systems, and banking application implementations and automation. His experience includes roles at Cognizant Technology Solutions and Polaris Financial Technology. He holds a Bachelor's degree in Computer Science and Engineering.
Parallel universe-issue-29
This issue’s feature article, Tuning Autonomous Driving Using Intel® System Studio, illustrates how the tools in Intel System Studio give embedded systems and connected device developers an integrated development environment to build, debug, and tune performance and power usage. Continuing the theme of tuning edge applications, Building Fast Data Compression Code for Cloud and Edge Applications shows how to use the Intel® Integrated Performance Primitives
to speed data compression.
Cloud Foundry Introduction for CF Meetup Tokyo March 2016
Tomohiro Ichimura is a senior solution architect at Pivotal Japan. He introduced Cloud Foundry, an open source platform as a service. Over 50 corporations contribute to Cloud Foundry, which has over 21,000 members. Cloud Foundry provides rapid application development and deployment across public and private clouds. It offers developer services, continuous integration/delivery, and multi-cloud portability through components like BOSH, Elastic Runtime, and Operations Manager.
Managing Infrastructure as a Product - Introduction to Platform Engineering
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This talk was presented in Kubernetes Day Indonesia 2022
Building a scalable app factory with Appcelerator Platform
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How Workday manage stateful services with a custom controller on Kubernetes?
Conference talk for CloudNative London 2018
https://skillsmatter.com/skillscasts/12106-evolving-services-into-the-cloud-native-world-how-workday-manage-stateful-services-with-a-custom-controller-on-kubernetes
Kubernetes and declarative infrastructure greatly simplify the way we deploy and manage software. Most services can be orchestrated with the control loops supplied by Kubernetes (deployments, stateful sets or jobs). Some stateful services in Workday require more advanced orchestration, and re-architecting them is not an easy option.
In this talk you will discover why some of our services require extra orchestration, and how we evolved an existing service into a control loop on top of Kubernetes. The control loop organises multiple services into groups these are dynamically created, deleted and scaled. It also orchestrates blue/green deployments of each group. Now we can adopt more kubernetes features and retire some of our old scheduling code. Finally you will learn the process we follow to evaluate and design our own control loops and when you might find them useful.
Bio
Iain is a principal software engineer at Workday using Kubernetes and Scala to deliver their next generation elastic grid. His twin passions are large scale distributed computing and applying clean code to complex problems. He is interested in good design and how this can improve system reliability and reduce friction during development.
He loves sharing his experiences as he learns and builds new systems. He regularly speaks at local meetups in Dublin and has presented at conferences including GotoConf, Scala Days, Functional Kats and Lambda World.
QML & JavaScript on MeeGo: Flourish Conference 2nd Apr 2011, at UIC Chicago @...
The document discusses developing mobile apps for MeeGo using Qt Quick and JavaScript. It outlines a 3 step process: 1) Set up a development environment with Qt Creator IDE and emulators. 2) Use Qt Quick's declarative runtime and JavaScript bindings for advanced graphics and animations. 3) Leverage JavaScript to build rich mobile apps by importing files, using expressions, and binding to QML. An example Angry Birds-style game app is demonstrated.
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#MBLTdev: Конференция мобильных разработчиков
Спикер: Дмитрий Нефедкин
Пресейл инженер, Google
http://mbltdev.ru/
Ignacy Kowalczyk
Kubernetes is a system for managing containerized applications across multiple machines that was inspired by Google's internal Borg system but is designed to be portable, scalable, and self-healing. Some key concepts in Kubernetes include pods (groups of tightly coupled containers), labels and selectors (for grouping objects), replication controllers (to maintain availability), and services (for exposing pods). Kubernetes handles tasks like scheduling, health checking, and orchestrating updates seamlessly through its declarative API and control loops.
GPPB2020 - Deliver an enhanced user experience by combining azure teams and t...
Does your company have several teams demanding test environments in Azure? Well, then I will tell you how you can combine Azure Blueprints, PowerApps, Microsoft Flow and Microsoft Teams to get in total control of your budget.
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Big companies like Google containerize theirs environments for easier maintaining, scaling, and reliability. This talk gives an introduction how to build such an environment and maintain applications written in distinct programming languages. The container orchestration is done with Kubernetes by Google and Docker containers. For mass deployment CoreOS is used.
Back to the Future: Containerize Legacy Applications
This document summarizes the modernization of a legacy .NET application at Fox MediaCloud using Docker Enterprise Edition (EE). The traditional Broadcast Affiliate Portal application was containerized and deployed to Azure in just 3 days. This reduced deployment time from 3 weeks to minutes and enabled redundancy and disaster recovery without downtime for security fixes or scaling. The migration demonstrated how Docker EE can help enterprises modernize applications at their own pace while controlling costs and driving innovation incrementally across their application portfolios.
KubeCon EU 2016 Keynote: Kubernetes State of the Union
Kubernetes is growing rapidly with over 5,000 commits in the 1.2 release and 50% more contributors. The 1.2 release focuses on getting started quicker and getting big faster with a new UI, improved scaling, and simplified deployments. Key features in 1.2 include the deployment API for automated application updates, configmaps for late-binding configuration, and daemonsets to ensure a pod runs on each node. Version 1.3 is planned for the coming weeks with additional features to support legacy applications, federated clusters, auto-scaling, and more.
[Public] between two worlds native&no-native experiences
Presentación que aborda los conceptos generales del desarrollo nativo y no nativo trabajando algunas de las tecnologías emergentes del momento.
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Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
Hybrid and Multi-Cloud Strategies for Kubernetes with GitOps
Automate Workflows With The Open-source Cloud-native Tool Boomerang Flow
Automate Workflows With The Open-source Cloud-native Tool Boomerang Flow
Build Cutting edge Mobile Apps using QML and JavaScript for MeeGo N9: Linux F...
Build Cutting edge Mobile Apps using QML and JavaScript for MeeGo N9: Linux F...
Cloud Foundry Introduction for CF Meetup Tokyo March 2016
Cloud Foundry Introduction for CF Meetup Tokyo March 2016
Managing Infrastructure as a Product - Introduction to Platform Engineering
Managing Infrastructure as a Product - Introduction to Platform Engineering
Building a scalable app factory with Appcelerator Platform
Building a scalable app factory with Appcelerator Platform
QML & JavaScript on MeeGo: Flourish Conference 2nd Apr 2011, at UIC Chicago @...
QML & JavaScript on MeeGo: Flourish Conference 2nd Apr 2011, at UIC Chicago @...
#MBLTdev: Разработка backend для мобильного приложения с использованием Googl...
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How to build streaming data pipelines with Akka Streams, Flink, and Spark usi...
How to build streaming data pipelines with Akka Streams, Flink, and Spark usi...
Back to the Future: Containerize Legacy Applications
Back to the Future: Containerize Legacy Applications
KubeCon EU 2016 Keynote: Kubernetes State of the Union
KubeCon EU 2016 Keynote: Kubernetes State of the Union
[Public] between two worlds native&no-native experiences
[Public] between two worlds native&no-native experiences
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Build & Deploy Multi-Container Applications to AWS
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.
Securing Your Containerized Applications with NGINX
The document summarizes Kevin Jones' presentation on securing containerized applications with NGINX. It discusses the benefits of using a reverse proxy for security, NGINX best practices for TLS configuration, and deploying NGINX in Docker containers. It also provides code examples and configurations for setting up NGINX as a reverse proxy, optimizing TLS, and using NGINX as a sidecar proxy.
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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.
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Distributed Deep Learning with Docker at Salesforce
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.
The First 10M Pulls: Building The Official Curl Image for Docker Hub
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.
Monitoring in a Microservices World
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.
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
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.
Predicting Space Weather with Docker
The document discusses how NOAA's Space Weather Prediction Center transitioned from a monolithic architecture to microservices using Docker. It describes how they started with a small verification project, then replaced their critical GOES satellite data source. This improved developers' morale and delivery speed. They encountered some security issues initially but learned from them. The transition was very successful and allowed them to quickly expand their mission to forecast aviation impacts using scientists' models packaged as Docker services.
Become a Docker Power User With Microsoft Visual Studio Code
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.
How to Use Mirroring and Caching to Optimize your Container Registry
Brandon Mitchell, Boxboat + Docker Captain -
How do you make your builds more performant? This talk looks at options to configure caching and mirroring of images that you need to save on bandwidth costs and to keep running even if something goes down upstream.
Monolithic to Microservices + Docker = SDLC on Steroids!
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.
Kubernetes at Datadog Scale
Kubernetes networking can be complex to scale due to issues like growing iptables rules, but newer solutions are helping. Pod networking uses CNI plugins like flannel or Calico to assign each pod an IP and allow communication. Service networking uses kube-proxy and iptables or IPVS for load balancing to pods. DNS is used to resolve service names to IPs. While Kubernetes networking brings flexibility, operators must learn the nuances of their specific CNI plugin and issues can arise, but the ecosystem adapts quickly to new needs and changes don't impact all workloads.
Labels, Labels, Labels
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.
Developing with Docker for the Arm Architecture
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.
Sharing is Caring: How to Begin Speaking at Conferences
For many, the idea of speaking in front of a bunch of strangers can be enough to prevent you from ever responding to a CFP. But don't let it! Speaking at conferences, meetups, or even at your own company is a fantastic way to share you knowledge, meet others, advance your career, and give back. Whether you are on the fence, have decided to take the plunge and submit a CFP, or have already even a few talks, this session is for you. Drawing on their experience reviewing DockerCon CFPs and prepping speakers (including themselves) for a variety of conferences, Jenny Burcio and Ashlynn Polini will outline tips and strategies for turning your idea into a winning proposal and ultimately a compelling talk. They will share how to submit and prepare for your first - or next - conference talk.
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
This document discusses building multi-architecture Docker images using Docker Buildx. It introduces the concepts of multi-architecture images, describes the traditional method of building separate images for each architecture and combining them with manifest lists, and recommends using Buildx which can build images for multiple architectures simultaneously during a single build. Buildx allows building on the host architecture natively or emulating other architectures. The document emphasizes that applications should support multiple platforms and architectures, and encourages always using multi-stage Dockerfiles and considering Buildx as an improved alternative to the older manifest-based approach.
DCSF 19 How Entergy is Mitigating Legacy Windows Operating System Vulnerabili...
Jason Brown - Program Manager, Entergy
Jeff Hummel - IT Infrastructure, Architect, Entergy
Entergy, a large utility company headquartered in New Orleans, LA has launched an initiative to modernize their application infrastructure. During the initial analysis, Entergy recognized the existing legacy infrastructure’s lack of compatibility with more recent operating systems would stand in the way of progress. As a result, containerization was fast-tracked as the solution that can help them with the various tenants of their strategy: hyperconvergence, SaaS (ServiceNow), and workload portability. Docker Enterprise proved to be the right solution to migrate roughly 850 legacy applications from Windows Server 2003 and 2008 to Windows Server 2016 quickly, securely and economically. Entergy IT has now delivered the ability for the business to run applications on-premise, in the cloud, and future-proofed the applications for migration to new versions of Windows Server. In this session, Entergy will talk about how they are modernizing their infrastructure to become more agile, secure, and enable workload portability.
DCSF 19 Developing Apps with Containers, Functions and Cloud Services
Cloud native applications are composed of containers, serverless functions and managed cloud services.
What is the best set of tools on your desktop to provide a rapid, iterative development experience and package applications using these three components?
This hand-on talk will explain how you can complement Docker Desktop, with it’s local Docker engine and Kubernetes cluster, with open source tools such as the Virtual Kubelet, Open Service Broker, the Gloo hybrid app gateway, Draft, and others, to build the most productive development inner-loop for these type of applications.
It will also cover how you can use the Cloud Native Application Bundle (CNAB) format and it’s implementation in the Docker app experimental tool to package your application and manage it with container supply chain tooling such as Docker Hub.
DCSF 19 eBPF Superpowers
It's been three years since Netflix's Brendan Gregg described the Berkeley Packet Filter as "Superpowers for Linux". Since then there has been an explosion of capabilities and tools based on eBPF, so you've probably heard the term, but do you know what it is and how to use it? In this demo-rich talk we'll explore some of the powerful things we can do with this technology, especially in the context of containers.
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Build & Deploy Multi-Container Applications to AWS
Build & Deploy Multi-Container Applications to AWS
Securing Your Containerized Applications with NGINX
Securing Your Containerized Applications with NGINX
How To Build and Run Node Apps with Docker and Compose
How To Build and Run Node Apps with Docker and Compose
Distributed Deep Learning with Docker at Salesforce
Distributed Deep Learning with Docker at Salesforce
The First 10M Pulls: Building The Official Curl Image for Docker Hub
The First 10M Pulls: Building The Official Curl Image for Docker Hub
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
COVID-19 in Italy: How Docker is Helping the Biggest Italian IT Company Conti...
Become a Docker Power User With Microsoft Visual Studio Code
Become a Docker Power User With Microsoft Visual Studio Code
How to Use Mirroring and Caching to Optimize your Container Registry
How to Use Mirroring and Caching to Optimize your Container Registry
Monolithic to Microservices + Docker = SDLC on Steroids!
Monolithic to Microservices + Docker = SDLC on Steroids!
Sharing is Caring: How to Begin Speaking at Conferences
Sharing is Caring: How to Begin Speaking at Conferences
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
Virtual Meetup Docker + Arm: Building Multi-arch Apps with Buildx
DCSF 19 How Entergy is Mitigating Legacy Windows Operating System Vulnerabili...
DCSF 19 How Entergy is Mitigating Legacy Windows Operating System Vulnerabili...
DCSF 19 Developing Apps with Containers, Functions and Cloud Services
DCSF 19 Developing Apps with Containers, Functions and Cloud Services
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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
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“I’m still / I’m still / Chaining from the Block”
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
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Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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