The document discusses using the Docker Remote API and docker-py Python library to interact with Docker containers remotely. It shows how to generate TLS certificates to securely connect to the Docker daemon, make API calls to list images, pull an image, create and start a container, and check the running container. Python code is provided that uses docker-py to connect over TLS, create and start a container, and verify it is running.
Docker Practice for beginner.
- docker install on ubuntu 18.04 LTS
- docker pull/push
- making docker-compose file which serving spring-boot+ mySql application
Docker Practice for beginner.
- docker install on ubuntu 18.04 LTS
- docker pull/push
- making docker-compose file which serving spring-boot+ mySql application
Securing Prometheus exporters using HashiCorp VaultBram Vogelaar
Things like Infrastructure as Code, Service Discovery and Config Management can and have helped us to quickly build and rebuild infrastructure but we haven't nearly spend enough time to train our self to review, monitor and respond to outages. Does our platform degrade in a graceful way or what does a high cpu load really mean? What can we learn from level 1 outages to be able to run our platforms more reliably.
This talk will focus on on creating a secure prometheus exporter ecosystem using HashiCorp Vault where we can we be sure that we are not leaking any business metrics from our observability stack. After which we ll investigate how to automatically rotate the certificates we created to do so.
Cette présentation vous montrera comment utiliser et profiter rapidement de Docker, quelles commandes utiliser et quelles fonctionnalités sont disponibles.
sfPot de Lille - Le 15 janvier 2015
A quickfire rundown of concise tips designed to make your daily life with Docker better! There will be something for Docker users of all experience levels.
Preparation study for Docker Event
Mulodo Open Study Group (MOSG) @Ho chi minh, Vietnam
http://www.meetup.com/Open-Study-Group-Saigon/events/229781420/
Testing your infrastructure with litmusBram Vogelaar
We have been able to test our puppet modules using rspec-puppet and
serverspec for a while now and the quality of our code is improving because
of it. This talk will introduce the new kid on the block litmus. This talk will show you how
to use litmus to test puppet modules and how to convert your existing modules to make use of litmus.
Nomad is popular as an efficient, lightweight container orchestrator. But a truly efficient, lightweight deployment environment can only be built on a minimal Linux that is designed specifically for running containers.
In this talk, we introduce Flatcar Container Linux to the Hashicorp/Nomad community. Already well known and widely deployed by Kubernetes users, Flatcar works just as well – or perhaps even better! – for Nomad.
Flatcar Container Linux is a secure, immutable, auto-updating, lightweight Linux operating system. This makes Flatcar a perfect match for Linux containers running on Nomad: nodes will update automatically and stay secure in a simple way, without the administrator having to do the heavy lifting.
This talk will explain best practices for deploying Nomad on Flatcar and demonstrate a Nomad cluster running on Flatcar.
Vagrant is a well-known tool for creating development environments in a simple and consistent way. Since we adopted in our organization we experienced several benefits: lower project setup times, better shared knowledge among team members, less wtf moments ;-)
In this session I'd like to share our experience, including but not limited to:
- advanced vagrantfile configuration
- vm configuration tips for dev environment: performance, debug, tuning
- our wtf moments
- puphet/phansilbe: hot or not?
- tips for sharing a box
Explains how Docker and Nix work as deployment solutions, in what ways they are similar and different, and how they can be combined to achieve interesting results.
Deploying Plone and Volto, the Hard WayAsko Soukka
How about building Plone without buildout? Running Plone on Python 3 without WSGI? Deploying Plone and Volto with containers without Docker? Building all this in re-usable and safe manner in sandbox with restricted network access with Nix? Welcome to hear about our hipster setup where we lock, build and configure Plone deployments with Nix, insist to keep ZServer running on Python 3 for the love's sake, build software deployments into standalone tarball archives, and run them with Nomad – the simple on-premises-friendly alternative for K8S.
Securing Prometheus exporters using HashiCorp VaultBram Vogelaar
Things like Infrastructure as Code, Service Discovery and Config Management can and have helped us to quickly build and rebuild infrastructure but we haven't nearly spend enough time to train our self to review, monitor and respond to outages. Does our platform degrade in a graceful way or what does a high cpu load really mean? What can we learn from level 1 outages to be able to run our platforms more reliably.
This talk will focus on on creating a secure prometheus exporter ecosystem using HashiCorp Vault where we can we be sure that we are not leaking any business metrics from our observability stack. After which we ll investigate how to automatically rotate the certificates we created to do so.
Cette présentation vous montrera comment utiliser et profiter rapidement de Docker, quelles commandes utiliser et quelles fonctionnalités sont disponibles.
sfPot de Lille - Le 15 janvier 2015
A quickfire rundown of concise tips designed to make your daily life with Docker better! There will be something for Docker users of all experience levels.
Preparation study for Docker Event
Mulodo Open Study Group (MOSG) @Ho chi minh, Vietnam
http://www.meetup.com/Open-Study-Group-Saigon/events/229781420/
Testing your infrastructure with litmusBram Vogelaar
We have been able to test our puppet modules using rspec-puppet and
serverspec for a while now and the quality of our code is improving because
of it. This talk will introduce the new kid on the block litmus. This talk will show you how
to use litmus to test puppet modules and how to convert your existing modules to make use of litmus.
Nomad is popular as an efficient, lightweight container orchestrator. But a truly efficient, lightweight deployment environment can only be built on a minimal Linux that is designed specifically for running containers.
In this talk, we introduce Flatcar Container Linux to the Hashicorp/Nomad community. Already well known and widely deployed by Kubernetes users, Flatcar works just as well – or perhaps even better! – for Nomad.
Flatcar Container Linux is a secure, immutable, auto-updating, lightweight Linux operating system. This makes Flatcar a perfect match for Linux containers running on Nomad: nodes will update automatically and stay secure in a simple way, without the administrator having to do the heavy lifting.
This talk will explain best practices for deploying Nomad on Flatcar and demonstrate a Nomad cluster running on Flatcar.
Vagrant is a well-known tool for creating development environments in a simple and consistent way. Since we adopted in our organization we experienced several benefits: lower project setup times, better shared knowledge among team members, less wtf moments ;-)
In this session I'd like to share our experience, including but not limited to:
- advanced vagrantfile configuration
- vm configuration tips for dev environment: performance, debug, tuning
- our wtf moments
- puphet/phansilbe: hot or not?
- tips for sharing a box
Explains how Docker and Nix work as deployment solutions, in what ways they are similar and different, and how they can be combined to achieve interesting results.
Deploying Plone and Volto, the Hard WayAsko Soukka
How about building Plone without buildout? Running Plone on Python 3 without WSGI? Deploying Plone and Volto with containers without Docker? Building all this in re-usable and safe manner in sandbox with restricted network access with Nix? Welcome to hear about our hipster setup where we lock, build and configure Plone deployments with Nix, insist to keep ZServer running on Python 3 for the love's sake, build software deployments into standalone tarball archives, and run them with Nomad – the simple on-premises-friendly alternative for K8S.
An introduction to Google's AI Engine, look deeper into Artificial Networks and Machine Learning. Appreciate how our simplest neural network be codified and be used to data analytics.
연구자 및 교육자를 위한 계산 및 분석 플랫폼 설계 - PyCon KR 2015Jeongkyu Shin
현대 과학 연구에는 컴퓨터를 이용한 계산 및 분석 작업이 필수적입니다. 그러나 거대 스케일의 계산 및 분석 작업을 수행할 경우 컴퓨팅 리소스의 적절한 관리 및 확장 용이성을 확보하는 것은 많은 리소스를 필요로 합니다. 우리는 컴퓨터 계산 작업 및 분석 작업을 표준화하고 클라우드에서 처리하는 파이썬3 기반의 오픈소스 플랫폼을 설계 및 개발하고 있습니다. 또한 이 플랫폼 위에서 돌아가는 교육 / 연구 플랫폼을 함께 설계하고 있습니다.
새로운 서비스를 변화하는 환경에 맞추어 개발하는 일은 즐거운 경험인 동시에, "무엇을" "어떻게" "왜" 로 이어지는 지뢰밭을 거니는 일이기도 합니다. "무엇을" 만들지 고민하고 토론하며 결정하고, 설계하고, 토론하고, 목표가 바뀌는 과정이 일어납니다. "어떻게" 만드느냐의 지뢰들로는 python 2에서 python 3 로의 전환, 웹 프레임웍인 Django와 프론트엔드 프레임웍들과의 충돌, 아마존 elastic computing cloud와 docker를 사용한 디플로이 시나리오 등 삽질 중에 발생하는 일들이 있습니다. "왜"에 대한 질문들은 무겁지만 피해갈 수 없습니다. "왜 하필 파이썬인가?" "왜 하필 그런 서비스를 만드려 하는가" 등의 질문은, 무엇인가를 만들기로 결심한 사람들에게 주어지는 가장 중요한 질문이자 보상이기도 합니다.
저희는 지난 2개월동안 이 과정을 통해 우리가 배운 것들을 공유하고자 합니다. 구체적으로는 개발 중인 플랫폼 구조, 설계 과정의 경험 및 python 3 기반의 플랫폼 개발시 주의할 점들에 대해 이야기하고, 그와 함께 지뢰밭을 걷게 만든 '원동력' 에 대해 함께 이야기할 수 있는 자리가 되었으면 합니다.
Kaz Sato, Evangelist, Google at MLconf ATL 2016MLconf
Machine Intelligence at Google Scale: Tensor Flow and Cloud Machine Learning: The biggest challenge of Deep Learning technology is the scalability. As long as using single GPU server, you have to wait for hours or days to get the result of your work. This doesn’t scale for production service, so you need a Distributed Training on the cloud eventually. Google has been building infrastructure for training the large scale neural network on the cloud for years, and now started to share the technology with external developers. In this session, we will introduce new pre-trained ML services such as Cloud Vision API and Speech API that works without any training. Also, we will look how TensorFlow and Cloud Machine Learning will accelerate custom model training for 10x – 40x with Google’s distributed training infrastructure.
빅데이터 구축 및 술루션 가이드 주요 내용
- 고객 내부 빅데이터 프로젝트 진행시 단계별 진행 가이드
- 빅데이터 프로젝트 구축 타입
- 각 산업분야별로 빅데이터 엔진을 활용한 솔루션 구축 가이드
(딥 러닝 기법 기반의 분석 포함)
코세나(kosena), 이승훈 실장 admin@kosena.kr, kosena21@naver.com
010-9338-6400
TensorFlow에 대한 분석 내용
- TensorFlow?
- 배경
- DistBelief
- Tutorial - Logistic regression
- TensorFlow - 내부적으로는
- Tutorial - CNN, RNN
- Benchmarks
- 다른 오픈 소스들
- TensorFlow를 고려한다면
- 설치
- 참고 자료
Easy Cloud Native Transformation with NomadBram Vogelaar
HashiCorp Nomad is a flexible and straightforward scheduler and orchestrator to deploy and manage containers and non-containerized applications across on-prem and clouds at scale.
Nomad can be seen as:
- an alternative to Kubernetes to deploy and scale containers without complexity
- a supplement to Kubernetes to implement a multi-orchestrator platform
On the other hand, this session will present how to ease the Cloud Native Transformation using Nomad.
What is Docker and why should you care? A Docker container is like a
lightweight Virtual Machine. It gives you the benefits of a virtual machine,
isolation of your application, without the drawbacks, having to ship an entire
operating system with your application, slow startup time, and difficult
interaction with the host.
In this presentation you will learn why Docker and containerization is the
future of DevOps and how to use it efficiently. You will learn how to build,
run, and link containers, and what volumes are and what they are used for.
You will also learn about some of the many orchestration solutions that exists
for managing a cluster of containers, both locally and in the cloud.
Containerization helps us bundle dependencies with applications instead of having to use configuration management to prepare machines for running them, hence making build once run anywhere easy. For legacy applications this can be quite hard though when they spread persistent data across the file system.
In this talk I'll show how we can quickly set up a Go.CD server and agents for our Continuous Delivery pipelines on Google Cloud. The infrastructure creation is handled by Terraform, the server and agents are custom built Docker containers.
Backdooring the web is the cheapest and most hidden way to achieve
persistence on a compromised network, both if you're looking at
privileges on the webapp itself or at executing command to underlying
system.
During the talk, we will discuss the context of a web backdoor: the
environment where she can born and grow up will be defined.
Each environmental aspect will be thoroughly analyzed: where is the best
point of injection, why we choose a specific function or trick, what
permissions are needed, how to trigger the backdoor in a safe, hidden
and reproducible way, and of course what to inject.
The talk will thus present several ways to inject obfuscated and hard to
spot vulnerabilities in PHP code. Shown examples will backdoor CMS
plugins as well as custom code, altering the code and polluting the
webapp ecosystem (read: DBMS and webservers).
Vagrant file samples for various Hadoop distributionsAkshay Gore
This vagrant file creates 5 VMs (1 as master and 4 as slaves) and downloads a Cloudera package. The idea is to help beginners who want to quickly deploy Hadoop in virtual environment and test their application. Planning to add more vagrant samples for other distributions. Please stay-tuned.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
4. $ curl -X POST https://192.168.99.100:2376/images/create?fromImage=nginx:latest
—cert $DOCKER_CERT_PATH/cert.p12
—pass mypass
—key $DOCKER_CERT_PATH/key.pem
—cacert $DOCKER_CERT_PATH/ca.pem
{"status":"Pulling from library/nginx","id":"latest"}
{"status":"Digest:
sha256:0fe6413f3e30fcc5920bc8fa769280975b10b1c26721de956e1428b9e2f29d04"}
{"status":"Status: Image is up to date for nginx:latest"}
$ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
nginx latest 0d409d33b27e 7 weeks ago 182.8 MB
Download “nginx:latest” image
Result
Check using command line