Puppet for Windows Users Workshop - Ethan J. Brown

•

0 likes•147 views

Iristyle

Puppet for Windows Users Workshop Slides Vagrant environment available at https://github.com/Iristyle/puppetconf2014

Software

Viewers also liked

Puppet camp Portland 2015: -windows (1)

Puppet

"Getting Started with Puppet" by Michael Stahnke, Director of Software Engineering, Puppet Labs. Presentation Overview: When beginning a Puppet deployment are many decisions and trade-offs to make around code promotion, source code control, workflows, and resource modeling. These decisions will have a long-term impact on the viability of your Puppet deployment. In this session Michael will walk through some of those decisions along with how to begin your Puppet rollout. Speaker Bio: Michael Stahnke is a Software Engineering Director at Puppet Labs, where he was previously the Community Manager and where he built out the Release Engineering team as Release Manager. He came to Puppet Labs from Caterpillar, Inc. where he was an Infrastructure Architect, system administration team lead, and open source evangelist. Michael also helped get the Extra Packages for Enterprise Linux (EPEL) repository off the ground in 2006, and is the author of Pro OpenSSH (Apress, 2005).

Getting Started with Puppet - PuppetConf 2013

Puppet

Managing windows with Puppet and Chocolatey

SethMcBean

Configuration manager presentation

jeyg

"Managing Windows Systems with Puppet" by James Sweeny Professional Services Engineer, Puppet Labs. Presentation Overview: Since Puppet grew up in the *nix world, there is a common misconception that it can't be used to effectively manage Windows. This talk hopes to dispel confusion on the matter and demonstrate that Windows can be managed effectively and easily with Puppet. Along with basic how-tos and tips on working with Windows systems using Puppet, Windows specific issues and caveats will be discussed with effective mitigations. Speaker Bio: James is a recovering sysadmin currently working as a Professional Services Engineer at Puppet Labs. He performs training and advises on configuration and systems management best practices in his day job. Though his focus is primarily on Linux systems, he frequently is tasked to work on Solaris, OS/X, and Windows. He is unafraid to admit that he runs Windows 7 on his primary desktop.

Managing Windows Systems with Puppet - PuppetConf 2013

Puppet

Puppet for Windows Users - PuppetConf 2014

Puppet

Puppet Camp Sydney 2015: Building Windows Infrastructure with Puppet

Puppet

Puppet Camp Berlin 2014: Manageable puppet infrastructure

Puppet

Did you know that BOSH is not the only tool for deploying the Cloud Foundry PaaS?.. Initially presented at the 2014 DevOps Summit by Andrei Yurkevich, CTO @ Altoros, this slide deck demonstrates how to deploy CF with Juju Charms and compares this orchestration solution to BOSH. It also covers overlapping features and explains when to use BOSH, Juju Charms, or both. For more Cloud Foundry research, visit: http://www.altoros.com/research-papers

Cloud Foundry Deployment Tools: BOSH vs Juju Charms

Altoros

Managing Puppet using MCollective

Puppet

11 Ways to Hack Puppet for Fun and Productivity - Luke Kanies - Velocity 2012

Puppet

Designing Puppet: Roles/Profiles Pattern

Puppet

Viewers also liked (12)

Puppet camp Portland 2015: -windows (1)

Getting Started with Puppet - PuppetConf 2013

Managing windows with Puppet and Chocolatey

Configuration manager presentation

Managing Windows Systems with Puppet - PuppetConf 2013

Puppet for Windows Users - PuppetConf 2014

Puppet Camp Sydney 2015: Building Windows Infrastructure with Puppet

Puppet Camp Berlin 2014: Manageable puppet infrastructure

Cloud Foundry Deployment Tools: BOSH vs Juju Charms

Managing Puppet using MCollective

11 Ways to Hack Puppet for Fun and Productivity - Luke Kanies - Velocity 2012

Designing Puppet: Roles/Profiles Pattern

Recently uploaded

AI Hackathon.pptx

ERRORhackerboy

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

What need to be mastered as AI-Powered Java Developers

EmilyJiang23

How to install and activate eGrabber JobGrabber

eGrabber

Secure Software Ecosystem Teqnation 2024

Soroosh Khodami

Scenarios are the central artifact of the Behaviour Driven Development (BDD) process. Although many teams use scenarios and tools like Cucumber or SpecFlow to automate them, in many cases their scenarios contain a lot of details, particularly test data, and therefore they become too complicated to support collaboration with the business. The "essential" principle of scenario writing (scenario formulation) states that only those details should be included in the scenario that are relevant for the outcome. This talk provides help for those who struggle implementing this principle or would be interested to learn how you can create brief and maintainable scenarios.

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Gáspár Nagy

Microsoft 365 Copilot is available to Enterprise customers and smaller organizations from January 16, 2024. It goes for the price set at $30 per user/month across all purchasing channels and customer types. Microsoft 365 Copilot gives users experiences allowing for the composition and replying of emails, chats, documents, contacts, and meeting minutes.    Microsoft 365 Copilot is available across all sales channels including Enterprise Agreement and Cloud Solution Provider (CSP).  Also, for commercial customers with:   • Microsoft 365 E3  • Microsoft 365 E5  • Office 365 E3  • Office 365 E5  • Microsoft 365 Business Standard  • Microsoft 365 Business Premium  They will be able to purchase Copilot for Microsoft 365 add-on SKU across all Microsoft sales channels. See below the full list of the Microsoft sales channels for Copilot:  • Enterprise Agreement  • Enterprise Agreement Subscription  • Cloud Solution Provider (CSP)  • Microsoft Customer Agreement – Enterprise (MCA-E)  • Direct from Microsoft  • Education customers through Enrollment for Education Solutions  You can reach out to our team of Microsoft licensing experts concerning any on-premises or cloud related questions seeking for clarity. Send us an email…info@q-advise.com

Microsoft 365 Copilot; An AI tool changing the world of work _PDF.pdf

Q-Advise

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi.pdf

steffenkarlsson2

COMPUTER AND ITS COMPONENTS PPT.by naitik sharma Class 9th A mittal internati...

naitiksharma1124

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

CompTIA Security+ (Study Notes) for cs.pdf

Furqanuddin10

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

Neo4j

10 Essential Software Testing Tools You Need to Know About.pdf

kalichargn70th171

SQL Injection Introduction and Prevention

Mohammed Fazuluddin

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Alluxio, Inc.

In his book, The Nature of the Physical World, Sir Arthur Eddington commented that “We have to appeal to the one outstanding law — the second law of thermodynamics — to put some sense into the world.” This sense-making goes beyond the physical world, too. Entropy is also essential in the fields of information and communication theory. During this lecture for the Princeton Plasma Physics Laboratory, lecturer Andrea Goulet discussed the application of entropy-related concepts in two communication systems: software and collaborative teams. She examined how concepts that help us understand systemic statistical disorder, such as ergodic systems, Lyapunov exponents, Kolmogorov-Sinai entropy, and Shannon-entropy can help us optimize for both software quality and innovation. She also provided several domain-specific models: Lehman’s Laws and Conway’s Law for software, as well as new models from her own research that relate to entropy and innovation. Entropy helps us understand the world and achieve great things. There is an underlying beauty in its principles that we can use to advance scientific discovery. When we understand the subtleties related to balancing surprise and structure, we increase our chances for effective collaboration and finding novel solutions to complex problems.

Entropy, Software Quality, and Innovation (presented at Princeton Plasma Phys...

Andrea Goulet

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf

kalichargn70th171

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

Recently uploaded (20)

AI Hackathon.pptx

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

What need to be mastered as AI-Powered Java Developers

How to install and activate eGrabber JobGrabber

Secure Software Ecosystem Teqnation 2024

Tree in the Forest - Managing Details in BDD Scenarios (live2test 2024)

Microsoft 365 Copilot; An AI tool changing the world of work _PDF.pdf

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi.pdf

COMPUTER AND ITS COMPONENTS PPT.by naitik sharma Class 9th A mittal internati...

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

CompTIA Security+ (Study Notes) for cs.pdf

GraphSummit Stockholm - Neo4j - Knowledge Graphs and Product Updates

10 Essential Software Testing Tools You Need to Know About.pdf

SQL Injection Introduction and Prevention

Crafting the Perfect Measurement Sheet with PLM Integration

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Entropy, Software Quality, and Innovation (presented at Princeton Plasma Phys...

Top Mobile App Development Companies 2024

A Comprehensive Appium Guide for Hybrid App Automation Testing.pdf

Workforce Efficiency with Employee Time Tracking Software.pdf