Mercurial and Git are both distributed version control systems that allow developers to work offline and synchronize changes later. Some key differences are:
- Git has a steeper learning curve due to more commands and concepts, while Mercurial's model is closer to Subversion and easier to migrate to.
- Mercurial has cleaner Windows support as an official Python distribution, while Git has stronger Linux heritage and Windows support through third parties.
- Git allows discarding old branch data to optimize disk usage, while Mercurial requires keeping all revision history locally at all times.
- Both systems effectively support branching and merging, though Git can have irregular performance drops and Mercurial branching is slightly slower.
Overall, Mer
Git is a distributed version control system that allows developers to collaborate on projects. It allows developers to create branches to develop features independently and merge them together later. Developers can also rewrite history by rebasing or reverting commits. The document provides tutorials on basic Git commands like init, add, commit, status, log, checkout, branch, merge, and remote repositories. It explains how to set up a local Git repository and share code between remote repositories for collaboration.
Git allows for a distributed model where every user has their own local copy of the code and changes are merged to a local master branch, while SVN uses a centralized model where changes are committed to a central repository. Git operations like diff and commit are much faster since they are performed locally without network latency. Git also uses much less storage space than SVN. A key advantage of Git is its powerful branching and merging capabilities.
Javahispano y Paradigma Tecnológico organizan un un seminario sobre una comparativa de sistemas de versionado: Subversion vs. Git.
Seminario presentado por Mariano Navas el 29 de Mayo de 2013 en UPM.
Dentro del mundo de los sistemas de control de versiones tenemos dos grandes grupos: los centralizados y los distribuidos. Subversion es en buena medida el representante más notable en el grupo de los centralizados. En los distribuidos git se está imponiendo como la tendencia.
Más información sobre el seminario:
http://www.paradigmatecnologico.com/seminarios/git-vs-subversion-cuando-utilizar-uno-u-otro/
Vídeo youtube: https://www.youtube.com/watch?v=nR5L3sJRp_c
¿Quieres saber más?
http://www.paradigmatecnologico.com
Git is a distributed revision control and source code management system with an emphasis on speed. Git was initially designed and developed by Linus Torvalds for Linux kernel development. Git is a free software distributed under the terms of the GNU General Public License version 2. This tutorial explains how to use Git for project version control in a distributed environment while working on web-based and non web-based applications development.
This document provides a brief introduction to Git, a distributed version control system. It describes what Git is and some of its key features, such as tracking changes to files over time, supporting distributed development, efficient object storage, easy branching and merging, and universal public identifiers. The document also discusses some of Git's internal mechanisms, such as SHA-1 hashes to uniquely identify objects, the index cache, and how commits and branches work.
This document provides an overview of version control and the distributed version control system Git. It discusses the history and benefits of version control, including backup and recovery, synchronization, undo capabilities, and tracking changes. Key aspects of Git are explained, such as branching and merging, the fast and efficient nature of Git, and how it allows for cheap local experimentation through branches. The document demonstrates Git workflows and commands and provides resources for further information.
Git 101: Force-sensitive to Jedi padawanJames Ford
What is Git? What does it do, how does it work, how does it fit into my workflow?
If you've ever wondered about the answers to any of those things, this session is designed for you, my friend.
Starting with the assumption of no prior knowledge of Git or even of version control, we'll cover the technology at a theoretical level, its manifestation in your projects in the physical level, and your development workflow at the practical level - by which time you'll be ready to step out into the world, secure in your knowledge of what the heck Git is, and ready to use it in your projects - and you'll marvel at how you ever worked without it.
Training: Day Two - Eclipse, Git, MavenArtur Ventura
This is the second in our four part training sessions introducing FenixEdu development for new collaborators.
In this second session, we introduce some of the tools used in FenixEdu development, Eclipse, Git and Maven
One of the biggest advantages of Git is its branching capabilities. Unlike centralized version control systems, Git branches are cheap and easy to merge. This facilitates the feature branch workflow popular with many Git users.
Source Code Management and Version Control Systems are tools for helping you track your file based assets (typically source code). Traditional SCM systems are centralised (CVS, Subversion, Visual Source Safe), Distributed version control systems systems provide new capabilities, work-flows, are becoming mature and are gaining mind share in the open source community.
Git is one of those Distributed Version Control Systems. It was invented by the creator of Linux (Linus Torvalds) for protecting the Linux kernel source code and coordinating the activity of hundreds of developers. This talk discusses what Distributed Version Control is, the history of Git, basic version control features and some very uncommon and amazing capabilities of git. Time permitting it will include live demonstration of the tools.
This document discusses version control systems, Git, and Bitbucket. It provides an overview of version control, describes why it is useful, and discusses different version control systems including local, centralized, and distributed systems. It focuses on Git, explaining what it is, why it was created, how it works and differs from other version control systems. Finally, it covers Bitbucket, describing what it is, why developers should use it, how to create repositories on it, and how to integrate it with Eclipse.
This document provides an introduction and overview of Git. It begins with a brief history of Git's origins with Linux source code management. It then covers key Git concepts like its distributed version control model, advantages like speed and resilience, and some basic commands. The document demonstrates setting up a sample Git repository and making commits. It also discusses branching, tagging, undoing changes, cleaning up repositories, and using remote repositories.
The document discusses version control systems and Git. It provides an overview of centralized and distributed version control workflows. Key points include:
- Centralized VCSs involve committing changes to a central repository, while distributed VCSs allow users to commit locally and push changes.
- Git uses a distributed model where each user has a full local copy of the repository and commits changes locally before pushing.
- Common Git commands are add, commit, push, pull, status, diff, log, branch, tag, and remote for working with remote repositories.
Recently one of our customers faced the challenge of fixing a production error in his desktop client application. The application is deployed in different versions and may of course be deployed to different customers with a different set of features. Although this scenario seems quite common nowadays, a lot of software companies are not ready to tackle this problem.
Git
A detailed description about version control tool for tracking changes in computer files and coordinating work on those files among multiple people. It is primarily used for source-code management in software development, but it can be used to keep track of changes in any set of files.in windows
SubGit is a server-side tool that helps to accomplish Svn to Git migration or Svn/Git synchronization task. This talk describes SubGit pros and cons and compares SubGit with its client-side Git-Svn alternative.
OSDC 2018 | Scaling & High Availability MySQL learnings from the past decade+...NETWAYS
The MySQL world is full of tradeoffs and choosing a High Availability (HA) solution is no exception. This session aims to look at all of the alternatives in an unbiased nature. While the landscape will be covered, including but not limited to MySQL replication, MHA, DRBD, Galera Cluster, etc. the focus of the talk will be what is recommended for today, and what to look out for. Thus, this will include extensive deep-dive coverage of ProxySQL, semi-sync replication, Orchestrator, MySQL Router, and Galera Cluster variants like Percona XtraDB Cluster and MariaDB Galera Cluster. I will also touch on group replication.
Learn how we do this for our nearly 4000+ customers!
This document provides an introduction to Git and common branching models. It begins by defining Git as a distributed revision control system created by Linus Torvalds for Linux kernel development. It then discusses why Git is useful, how it is distributed and optimized for merging, and some key Git concepts like commits, branches, and the local repository structure. The document also outlines common Git commands, workflows like centralized, feature branching, Gitflow and GitHub flow, and how pull requests enable collaboration. It concludes by listing additional Git learning resources.
GitHub is where over 73 million developers shape the future of software, together. Contribute to the open source community, manage your Git repositories
Git Fusion manages two inherently different branching models. Learn the ramifications of changing branch mappings, using fully populated or lightweight branches in Git Fusion and the purpose of “ghost” changes.
Kubernetes Basics provides an overview of Kubernetes concepts and components. It discusses pods vs deployments, scaling deployments, rolling updates, stateful vs stateless applications, daemon sets, secrets, configmaps, services, ingress, storage classes, network policies, and Kubernetes CLI commands. Hands-on examples are given for running commands, exposing services, deleting resources, executing commands in pods, viewing logs, and getting resource information. YAML files are shown for defining deployments, services, and ingress. Skills discussed include using configmaps as environment variables, sidecar deployments, init containers, labels and node selectors, private registries, taints and tolerations, resource management, and readiness and liveness probes.
Presentation is in english, besides first slide. In presentation I represented basics concepts from docker and kubernetes, each part ends with short example. On my github: https://github.com/arekborek/k8s-jdd you can find additional information.
OSDC 2018 | Monitoring Kubernetes at Scale by Monica SarbuNETWAYS
Kubernetes is changing the game in the data centre, but also in the monitoring and troubleshooting landscape. Static tools and vertically scalable TSDBs are no longer fit for the job. Large-scale dynamic infrastructures require scalable dynamic monitoring.
This talk presents how the Elastic Stack collects logs, metrics, and APM traces from the applications running in Kubernetes:
– Collect application logs, metrics and enhance them with Kubernetes metadata
– Collect application metrics from Prometheus endpoints
– Collect Kubernetes metrics
– Collect application performance traces (APM)
– Autodiscover new pods and monitor them based on their type
– Control the monitoring via Kubernetes annotations
– Use Kibana as a single looking glass to visualize the collected data
This document provides an overview and agenda for an Advanced Git talk. It introduces the speaker and their background and experience with Git. The talk will cover core Git concepts as a refresher and then dive into more advanced topics like merging, rebasing, stashing, resetting, reverting, bisecting, worktrees, subtrees, interactive rebasing, notes, and grep in Git.
The document discusses distributed version control systems (DVCS) like Mercurial and demonstrates basic Mercurial commands. It shows initializing a repository, making commits, viewing history, cloning, pushing and pulling changes, resolving merge conflicts, and using commands like backout to undo previous commits.
Diapositivas de la charla dada por la gente de uno21.com.ar (@luke_ar y @matitanio) en la UP, el día 21/08/2012. Próximamente en otras universidades :)
Training: Day Two - Eclipse, Git, MavenArtur Ventura
This is the second in our four part training sessions introducing FenixEdu development for new collaborators.
In this second session, we introduce some of the tools used in FenixEdu development, Eclipse, Git and Maven
One of the biggest advantages of Git is its branching capabilities. Unlike centralized version control systems, Git branches are cheap and easy to merge. This facilitates the feature branch workflow popular with many Git users.
Source Code Management and Version Control Systems are tools for helping you track your file based assets (typically source code). Traditional SCM systems are centralised (CVS, Subversion, Visual Source Safe), Distributed version control systems systems provide new capabilities, work-flows, are becoming mature and are gaining mind share in the open source community.
Git is one of those Distributed Version Control Systems. It was invented by the creator of Linux (Linus Torvalds) for protecting the Linux kernel source code and coordinating the activity of hundreds of developers. This talk discusses what Distributed Version Control is, the history of Git, basic version control features and some very uncommon and amazing capabilities of git. Time permitting it will include live demonstration of the tools.
This document discusses version control systems, Git, and Bitbucket. It provides an overview of version control, describes why it is useful, and discusses different version control systems including local, centralized, and distributed systems. It focuses on Git, explaining what it is, why it was created, how it works and differs from other version control systems. Finally, it covers Bitbucket, describing what it is, why developers should use it, how to create repositories on it, and how to integrate it with Eclipse.
This document provides an introduction and overview of Git. It begins with a brief history of Git's origins with Linux source code management. It then covers key Git concepts like its distributed version control model, advantages like speed and resilience, and some basic commands. The document demonstrates setting up a sample Git repository and making commits. It also discusses branching, tagging, undoing changes, cleaning up repositories, and using remote repositories.
The document discusses version control systems and Git. It provides an overview of centralized and distributed version control workflows. Key points include:
- Centralized VCSs involve committing changes to a central repository, while distributed VCSs allow users to commit locally and push changes.
- Git uses a distributed model where each user has a full local copy of the repository and commits changes locally before pushing.
- Common Git commands are add, commit, push, pull, status, diff, log, branch, tag, and remote for working with remote repositories.
Recently one of our customers faced the challenge of fixing a production error in his desktop client application. The application is deployed in different versions and may of course be deployed to different customers with a different set of features. Although this scenario seems quite common nowadays, a lot of software companies are not ready to tackle this problem.
Git
A detailed description about version control tool for tracking changes in computer files and coordinating work on those files among multiple people. It is primarily used for source-code management in software development, but it can be used to keep track of changes in any set of files.in windows
SubGit is a server-side tool that helps to accomplish Svn to Git migration or Svn/Git synchronization task. This talk describes SubGit pros and cons and compares SubGit with its client-side Git-Svn alternative.
OSDC 2018 | Scaling & High Availability MySQL learnings from the past decade+...NETWAYS
The MySQL world is full of tradeoffs and choosing a High Availability (HA) solution is no exception. This session aims to look at all of the alternatives in an unbiased nature. While the landscape will be covered, including but not limited to MySQL replication, MHA, DRBD, Galera Cluster, etc. the focus of the talk will be what is recommended for today, and what to look out for. Thus, this will include extensive deep-dive coverage of ProxySQL, semi-sync replication, Orchestrator, MySQL Router, and Galera Cluster variants like Percona XtraDB Cluster and MariaDB Galera Cluster. I will also touch on group replication.
Learn how we do this for our nearly 4000+ customers!
This document provides an introduction to Git and common branching models. It begins by defining Git as a distributed revision control system created by Linus Torvalds for Linux kernel development. It then discusses why Git is useful, how it is distributed and optimized for merging, and some key Git concepts like commits, branches, and the local repository structure. The document also outlines common Git commands, workflows like centralized, feature branching, Gitflow and GitHub flow, and how pull requests enable collaboration. It concludes by listing additional Git learning resources.
GitHub is where over 73 million developers shape the future of software, together. Contribute to the open source community, manage your Git repositories
Git Fusion manages two inherently different branching models. Learn the ramifications of changing branch mappings, using fully populated or lightweight branches in Git Fusion and the purpose of “ghost” changes.
Kubernetes Basics provides an overview of Kubernetes concepts and components. It discusses pods vs deployments, scaling deployments, rolling updates, stateful vs stateless applications, daemon sets, secrets, configmaps, services, ingress, storage classes, network policies, and Kubernetes CLI commands. Hands-on examples are given for running commands, exposing services, deleting resources, executing commands in pods, viewing logs, and getting resource information. YAML files are shown for defining deployments, services, and ingress. Skills discussed include using configmaps as environment variables, sidecar deployments, init containers, labels and node selectors, private registries, taints and tolerations, resource management, and readiness and liveness probes.
Presentation is in english, besides first slide. In presentation I represented basics concepts from docker and kubernetes, each part ends with short example. On my github: https://github.com/arekborek/k8s-jdd you can find additional information.
OSDC 2018 | Monitoring Kubernetes at Scale by Monica SarbuNETWAYS
Kubernetes is changing the game in the data centre, but also in the monitoring and troubleshooting landscape. Static tools and vertically scalable TSDBs are no longer fit for the job. Large-scale dynamic infrastructures require scalable dynamic monitoring.
This talk presents how the Elastic Stack collects logs, metrics, and APM traces from the applications running in Kubernetes:
– Collect application logs, metrics and enhance them with Kubernetes metadata
– Collect application metrics from Prometheus endpoints
– Collect Kubernetes metrics
– Collect application performance traces (APM)
– Autodiscover new pods and monitor them based on their type
– Control the monitoring via Kubernetes annotations
– Use Kibana as a single looking glass to visualize the collected data
This document provides an overview and agenda for an Advanced Git talk. It introduces the speaker and their background and experience with Git. The talk will cover core Git concepts as a refresher and then dive into more advanced topics like merging, rebasing, stashing, resetting, reverting, bisecting, worktrees, subtrees, interactive rebasing, notes, and grep in Git.
The document discusses distributed version control systems (DVCS) like Mercurial and demonstrates basic Mercurial commands. It shows initializing a repository, making commits, viewing history, cloning, pushing and pulling changes, resolving merge conflicts, and using commands like backout to undo previous commits.
Diapositivas de la charla dada por la gente de uno21.com.ar (@luke_ar y @matitanio) en la UP, el día 21/08/2012. Próximamente en otras universidades :)
The document provides an introduction to version control and Git. It discusses key Git concepts like snapshots vs deltas, local operations, and integrity checks via SHA-1 hashes. It covers setting up Git, creating and cloning repositories, tracking file status and changes, committing files, viewing commit history, branching and merging, and working with remote repositories by fetching, pulling and pushing changes.
This document provides an overview of Git and how it can be used for version control. It discusses what Git is, its uses for version management, who uses it and its history. It then covers installation, basic commands like init, add, commit and log. It discusses branches, merging, stashes and ignoring files. Finally it discusses working with remote repositories on GitHub and a typical workflow.
The Information Technology have led us into an era where the production, sharing and use of information are now part of everyday life and of which we are often unaware actors almost: it is now almost inevitable not leave a digital trail of many of the actions we do every day; for example, by digital content such as photos, videos, blog posts and everything that revolves around the social networks (Facebook and Twitter in particular). Added to this is that with the "internet of things", we see an increase in devices such as watches, bracelets, thermostats and many other items that are able to connect to the network and therefore generate large data streams. This explosion of data justifies the birth, in the world of the term Big Data: it indicates the data produced in large quantities, with remarkable speed and in different formats, which requires processing technologies and resources that go far beyond the conventional systems management and storage of data. It is immediately clear that, 1) models of data storage based on the relational model, and 2) processing systems based on stored procedures and computations on grids are not applicable in these contexts. As regards the point 1, the RDBMS, widely used for a great variety of applications, have some problems when the amount of data grows beyond certain limits. The scalability and cost of implementation are only a part of the disadvantages: very often, in fact, when there is opposite to the management of big data, also the variability, or the lack of a fixed structure, represents a significant problem. This has given a boost to the development of the NoSQL database. The website NoSQL Databases defines NoSQL databases such as "Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open source and horizontally scalable." These databases are: distributed, open source, scalable horizontally, without a predetermined pattern (key-value, column-oriented, document-based and graph-based), easily replicable, devoid of the ACID and can handle large amounts of data. These databases are integrated or integrated with processing tools based on the MapReduce paradigm proposed by Google in 2009. MapReduce with the open source Hadoop framework represent the new model for distributed processing of large amounts of data that goes to supplant techniques based on stored procedures and computational grids (step 2). The relational model taught courses in basic database design, has many limitations compared to the demands posed by new applications based on Big Data and NoSQL databases that use to store data and MapReduce to process large amounts of data.
Course Website http://pbdmng.datatoknowledge.it/
Contact me to download the slides
This document provides an overview of Git and its features. Git is a distributed version control system that allows users to track changes to files. It keeps track of file versions, allows multiple developers to work independently and merge changes together, and is faster than other version control systems. The document discusses Git's history and architecture, how to install and configure Git, basic commands like add, commit and log, branching, and more advanced topics.
This document provides an overview of using Git version control system, including:
1. The different types of version control systems like local (LVCS), centralized (CVCS), and distributed (DVCS) like Git.
2. Basic Git commands and workflows for creating a repository, adding/committing files, tagging versions, branching, merging, and working with remotes.
3. Examples of common branching workflows for topics, long-running branches, hotfixes, and merging branches with conflicts.
4. How to push/pull from remote repositories, delete remote branches, and work with tracking branches.
Approximating Change Sets at Philips Healthcare: A Case StudyRahul Premraj
Talk presented on March 4, 2011 at the 15th European Conference on Software Maintenance and Reengineering in Oldenburg, Germany.
Abstract: A single development task such as solving a bug or implementing a new feature often involves changing a number of entities, also known together as a change set. Change sets can be approximated from the version control system. They are then used by the architects and developers to take important decisions. So change sets need to be approximated carefully. It is common to assume that two entities checked-in less than a small time interval from each other, and having the same meta-data associated with them, belong to the same transaction. Transactions may be good approximations of change sets if developers commit change sets in one go and if the required meta-data is available. This is however not the case in the industrial environment (Philips Healthcare) we study. Our paper presents a case study in which we investigated how change sets can be approximated in an environment with a complex workflow and limited meta-data in the version repositories. We found that, dependent on the commit practices used, a suitable time intervals between check-in timestamps of files has to be determined and leveraged to reliably approximate change sets.
The document provides an introduction and overview of Git. It begins with an introduction of the presenter and then asks poll questions to gauge who is and isn't using source code management systems. It then proceeds to explain what Git is, why it's useful, how to configure and set up a Git repository, how to add and commit changes, create and switch branches, undo changes, and work with remote repositories and resolve conflicts.
Working with Git – a simple introduction for those used to working with a VCS like Subversion. Explains concepts and shows examples. Feel free to steal slides for your own purposes.
Let the contribution begin (EST futures)SeongJae Park
The document discusses contributing to open source software as a newcomer. It recommends getting the source code, making small, targeted changes like fixing coding style issues, and submitting patches for review. The Linux kernel is presented as a popular project to start contributing to. Topic branches in version control are introduced as a way to develop changes separately before submitting them for merging.
The shift to cloud computing means that organizations are undergoing a major shift as they develop scale-out infrastructure that can respond to apace of business change faster than ever before. Opscode Chef® is an open-source systems integration framework build specifically for
automating the cloud by making it easy to deploy and scale servers and applications throughout your infrastructure. Join us for this session
containing an introduction to Chef including:
An Overview of Chef
The Chef Architecture
Cookbook Components
System Integration
Live demo launching a Java Stack on Amazon EC2, Rackspace, Ubuntu, and
CentOS
[Presented as part of the Open Source Build a Cloud program on 2/29/2012 - http://cloudstack.org/about-cloudstack/cloudstack-events.html?categoryid=6]
This document provides instructions for getting started with Git and GitHub. It outlines the steps to install Git, create a GitHub account, download repositories from GitHub, fork repositories, create branches, create pull requests, and create your own repository. It also explains key Git concepts like version control, local and remote repositories, and the three trees in Git. The document recommends configuring user information and SSH keys. It demonstrates common Git commands like init, status, add, commit, push, pull, clone and checkout. It discusses merge conflicts and meaningful commit messages. Finally, it points to additional resources and provides a practice project for following the GitHub flow.
This document provides an introduction to using Git. It covers getting Git, creating repositories, staging and committing files, branching, merging, and pushing and pulling changes. The presenter provides exercises for attendees to practice the basic Git commands and workflows. They discuss normal repositories, bare repositories, cloning repositories, viewing logs and commits, configuring user information, amending commits, removing files, branching, merging, pushing changes to a remote repository, and pulling changes from remote.
A Beginner's Guide to Git and GitHub, CLI version.
What is Git?
What is Github
Basic commands
Difference between Central and Distributed Version Controlling System
This document provides an overview of version control systems and the basic commands and workflows in Git. It explains that version control systems allow recording changes to files over time so that specific versions can be recalled. It then covers the basic Git commands for recording changes (add, commit), viewing history (log, diff), undoing changes (reset, checkout, amend), and collaborating remotely (push, pull, fetch). It also discusses branching workflows in Git for diverging and merging lines of development.
A Git tutorial for rookies that covers most aspects of basic Git usage for a medium sized project.
This was originally a semestral lecture given at the TU Wien for the course "Software Engineering and Project Management"
A Git Workflow is a recipe or recommendation for how to use Git to accomplish work in a consistent and productive manner. Git workflows encourage users to leverage Git effectively and consistently.
Check out this highlight training from the Automat-IT University trainers.
Thinking about highly-available systems and their setupMarian Marinov
In this talk you will learn about the things you need to consider when building a HA system.
We will start with basic networking, then cover some storage options and we will finish with configuring the brains of it using corosync+pacemaker.
There are many links in the presentation for additional reading.
How to implement PassKeys in your applicationMarian Marinov
PassKeys is relatively new way of authentication. This presentation aims to provide a bit of guidance on how you can implement them in your own application.
Dev.bg DevOps March 2024 Monitoring & LoggingMarian Marinov
The document discusses Marian Marinov's experience monitoring various systems and infrastructure. He aims to have a single solution for log and metrics collection but ends up with multiple Grafana dashboards and different log collectors. Collectd was found to be the easiest to set up and provides the most out-of-the-box metrics, while solutions like Elasticsearch and Kibana require too many resources for smaller setups. There is no single solution that can monitor everything.
Basic presentation of cryptography mechanismsMarian Marinov
This document summarizes Marian Marinov's presentation on cryptography. It discusses password cracking using John the Ripper, analyzing languages using frequency analysis to crack codes like the Enigma machine. It also covers chosen plaintext/ciphertext attacks, known plaintext attacks, and how these were used to crack protocols like SSL. Common attacks on SSL like BEAST, CRIME, and POODLE are outlined. Finally, cracking WiFi passwords using tools like Aircrack-ng is briefly discussed.
Message Queuing - Gearman, Mosquitto, Kafka and RabbitMQMarian Marinov
This document summarizes and compares several message queuing systems: Gearman, Mosquitto, Kafka, and RabbitMQ. It discusses their pub/sub models, broker architectures, message/topic storage and delivery methods, actual communication protocols, and Java ecosystems. The key points are that these systems provide asynchronous communication between applications using a broker, each with different architectures, storage and delivery semantics, and Java client libraries.
How to successfully migrate to DevOps .pdfMarian Marinov
The document discusses considerations for adopting DevOps practices. It compares traditional system administration approaches to infrastructure deployment versus using DevOps tools like Terraform and Nomad. While tools abstract complexity, it is important to understand the underlying systems. When adopting DevOps, teams should ensure adequate expertise in tools, thoroughly test deployments, and document environments. Abstraction through tools can cause issues if providers do not support needed functionality or changes require modifying tool configurations instead of the systems directly.
This document discusses strategies for working securely from home. It covers hardware availability and security issues when working remotely. On the hardware side, it recommends having backup equipment like a second laptop or WiFi in case of equipment failure. For security, it emphasizes that convenience often comes at the cost of security. The biggest security risks are viruses, malware, and phishing attacks. It provides strategies for securing the operating system, browser, and email client to reduce these risks, such as using separate profiles, disabling remote content loading, and not automatically opening files. Virtual machines are recommended for opening suspicious files to isolate any potential compromise. Overall, the document stresses balancing security with convenience when working remotely.
Management of system administrators and devops teams is different then managing Developers.
This presentation shows key differences and what to worry about :)
Control your service resources with systemd Marian Marinov
This document discusses using systemd to manage control groups (cGroups) and set resource limits for processes and services. It describes how systemd simplified cGroup management by creating a cGroup for each service and allowing configuration via service files and drop-in files. Specific configuration options like memory and CPU limits can be set directly in the service file, via a slice file that multiple services reference, or using systemctl commands. Systemd provides unified management of cGroups and services.
This document summarizes Marian Marinov's testing and experience with various distributed filesystems including CephFS, GlusterFS, MooseFS, OrangeFS, and BeeGFS. Some key findings are:
- CephFS requires significant resources but lacks redundancy for small clusters. GlusterFS offers redundancy but can have high CPU usage.
- MooseFS and OrangeFS were easy to setup but MooseFS offered better reliability and stats.
- Performance testing found MooseFS and NFS+Ceph to have better small file creation times than GlusterFS and OrangeFS. Network latency was identified as a major factor impacting distributed filesystem performance.
- Tuning efforts focused on NFS
MySQL security is not trivial. This presentation will walk you trough some of the more important decisions you have to take, when configuring a MySQL server instance
This document compares and contrasts the roles of system administrators (sysadmins) and DevOps engineers. It discusses that sysadmins are primarily focused on installing, configuring, and maintaining operating systems, software, and company products on local servers and PCs. DevOps engineers, on the other hand, work with cloud platforms, APIs, infrastructure as code, automation tools, and focus on monitoring through tools like Elasticsearch and Prometheus. It also provides examples of how sysadmins and DevOps engineers differ in their approaches to configuration management, monitoring, and debugging infrastructure issues.
DoS and DDoS mitigations with eBPF, XDP and DPDKMarian Marinov
The document compares eBPF, XDP and DPDK for packet inspection. It describes the speaker's experience using these tools to build a virtual machine that can handle 10Gbps of traffic and drop packets to mitigate DDoS attacks. It details how eBPF and XDP were able to achieve higher packet drop rates than iptables or a custom module. While DPDK could drop traffic at line rate, it required specialized hardware and expertise. Ultimately, XDP provided the best balance of performance, driver support and programmability using eBPF to drop millions of packets per second.
Marian Marinov is the chief system architect and head of the DevOps department at SiteGround.com. He discussed the challenges of high-density networks including large broadcast domains, limited MAC/ARP tables, and bandwidth constraints. Some solutions proposed were using VLANs, layered network designs, and overlay technologies like VXLAN and NVGRE to divide the network into smaller segments and increase scalability.
Leading AI Innovation As A Product Manager - Michael JidaelMichael Jidael
Unlike traditional product management, AI product leadership requires new mental models, collaborative approaches, and new measurement frameworks. This presentation breaks down how Product Managers can successfully lead AI Innovation in today's rapidly evolving technology landscape. Drawing from practical experience and industry best practices, I shared frameworks, approaches, and mindset shifts essential for product leaders navigating the unique challenges of AI product development.
In this deck, you'll discover:
- What AI leadership means for product managers
- The fundamental paradigm shift required for AI product development.
- A framework for identifying high-value AI opportunities for your products.
- How to transition from user stories to AI learning loops and hypothesis-driven development.
- The essential AI product management framework for defining, developing, and deploying intelligence.
- Technical and business metrics that matter in AI product development.
- Strategies for effective collaboration with data science and engineering teams.
- Framework for handling AI's probabilistic nature and setting stakeholder expectations.
- A real-world case study demonstrating these principles in action.
- Practical next steps to begin your AI product leadership journey.
This presentation is essential for Product Managers, aspiring PMs, product leaders, innovators, and anyone interested in understanding how to successfully build and manage AI-powered products from idea to impact. The key takeaway is that leading AI products is about creating capabilities (intelligence) that continuously improve and deliver increasing value over time.
"Rebranding for Growth", Anna VelykoivanenkoFwdays
Since there is no single formula for rebranding, this presentation will explore best practices for aligning business strategy and communication to achieve business goals.
Learn the Basics of Agile Development: Your Step-by-Step GuideMarcel David
New to Agile? This step-by-step guide is your perfect starting point. "Learn the Basics of Agile Development" simplifies complex concepts, providing you with a clear understanding of how Agile can improve software development and project management. Discover the benefits of iterative work, team collaboration, and flexible planning.
AI Changes Everything – Talk at Cardiff Metropolitan University, 29th April 2...Alan Dix
Talk at the final event of Data Fusion Dynamics: A Collaborative UK-Saudi Initiative in Cybersecurity and Artificial Intelligence funded by the British Council UK-Saudi Challenge Fund 2024, Cardiff Metropolitan University, 29th April 2025
https://alandix.com/academic/talks/CMet2025-AI-Changes-Everything/
Is AI just another technology, or does it fundamentally change the way we live and think?
Every technology has a direct impact with micro-ethical consequences, some good, some bad. However more profound are the ways in which some technologies reshape the very fabric of society with macro-ethical impacts. The invention of the stirrup revolutionised mounted combat, but as a side effect gave rise to the feudal system, which still shapes politics today. The internal combustion engine offers personal freedom and creates pollution, but has also transformed the nature of urban planning and international trade. When we look at AI the micro-ethical issues, such as bias, are most obvious, but the macro-ethical challenges may be greater.
At a micro-ethical level AI has the potential to deepen social, ethnic and gender bias, issues I have warned about since the early 1990s! It is also being used increasingly on the battlefield. However, it also offers amazing opportunities in health and educations, as the recent Nobel prizes for the developers of AlphaFold illustrate. More radically, the need to encode ethics acts as a mirror to surface essential ethical problems and conflicts.
At the macro-ethical level, by the early 2000s digital technology had already begun to undermine sovereignty (e.g. gambling), market economics (through network effects and emergent monopolies), and the very meaning of money. Modern AI is the child of big data, big computation and ultimately big business, intensifying the inherent tendency of digital technology to concentrate power. AI is already unravelling the fundamentals of the social, political and economic world around us, but this is a world that needs radical reimagining to overcome the global environmental and human challenges that confront us. Our challenge is whether to let the threads fall as they may, or to use them to weave a better future.
Automation Dreamin' 2022: Sharing Some Gratitude with Your UsersLynda Kane
Slide Deck from Automation Dreamin'2022 presentation Sharing Some Gratitude with Your Users on creating a Flow to present a random statement of Gratitude to a User in Salesforce.
Big Data Analytics Quick Research Guide by Arthur MorganArthur Morgan
This is a Quick Research Guide (QRG).
QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
QRGs planned for the series:
- Artificial Intelligence QRG
- Quantum Computing QRG
- Big Data Analytics QRG
- Spacecraft Guidance, Navigation & Control QRG (coming 2026)
- UK Home Computing & The Birth of ARM QRG (coming 2027)
Any questions or comments?
- Please contact Arthur Morgan at [email protected].
100% human made.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...Impelsys Inc.
Impelsys provided a robust testing solution, leveraging a risk-based and requirement-mapped approach to validate ICU Connect and CritiXpert. A well-defined test suite was developed to assess data communication, clinical data collection, transformation, and visualization across integrated devices.
Buckeye Dreamin 2024: Assessing and Resolving Technical DebtLynda Kane
Slide Deck from Buckeye Dreamin' 2024 presentation Assessing and Resolving Technical Debt. Focused on identifying technical debt in Salesforce and working towards resolving it.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...SOFTTECHHUB
I started my online journey with several hosting services before stumbling upon Ai EngineHost. At first, the idea of paying one fee and getting lifetime access seemed too good to pass up. The platform is built on reliable US-based servers, ensuring your projects run at high speeds and remain safe. Let me take you step by step through its benefits and features as I explain why this hosting solution is a perfect fit for digital entrepreneurs.
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
The MCP (Model Context Protocol) is a framework designed to manage context and interaction within complex systems. This SlideShare presentation will provide a detailed overview of the MCP Model, its applications, and how it plays a crucial role in improving communication and decision-making in distributed systems. We will explore the key concepts behind the protocol, including the importance of context, data management, and how this model enhances system adaptability and responsiveness. Ideal for software developers, system architects, and IT professionals, this presentation will offer valuable insights into how the MCP Model can streamline workflows, improve efficiency, and create more intuitive systems for a wide range of use cases.
Technology Trends in 2025: AI and Big Data AnalyticsInData Labs
At InData Labs, we have been keeping an ear to the ground, looking out for AI-enabled digital transformation trends coming our way in 2025. Our report will provide a look into the technology landscape of the future, including:
-Artificial Intelligence Market Overview
-Strategies for AI Adoption in 2025
-Anticipated drivers of AI adoption and transformative technologies
-Benefits of AI and Big data for your business
-Tips on how to prepare your business for innovation
-AI and data privacy: Strategies for securing data privacy in AI models, etc.
Download your free copy nowand implement the key findings to improve your business.
Special Meetup Edition - TDX Bengaluru Meetup #52.pptxshyamraj55
We’re bringing the TDX energy to our community with 2 power-packed sessions:
🛠️ Workshop: MuleSoft for Agentforce
Explore the new version of our hands-on workshop featuring the latest Topic Center and API Catalog updates.
📄 Talk: Power Up Document Processing
Dive into smart automation with MuleSoft IDP, NLP, and Einstein AI for intelligent document workflows.
DevOpsDays Atlanta 2025 - Building 10x Development Organizations.pptxJustin Reock
Building 10x Organizations with Modern Productivity Metrics
10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ‘The Coding War Games.’
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method we invent for the delivery of products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches actually work? DORA? SPACE? DevEx? What should we invest in and create urgency behind today, so that we don’t find ourselves having the same discussion again in a decade?
5. 1. Evolution of revision control systems
* RCS -> CVS -> SVN
* Single repository for the history
* Working copy of a file
* Only one developer can commit at a time
* Complicated merges
RCS/CVS/SVN ARE YOUR
ENEMY
6. 2. Distributed version control systems(DVCS)
* Locally accessible history
* Every developer can commit at will
* Every client can become a server (no single
server required)
* Seamless merges
9. Integration-Manager Workflow
Project's Developer Developer Developer
repository public public public
Integration
manager
Developer Developer Developer
private private private
10. Dictator Workflow
kernel.org
Sub tree
maintainer
Sub tree
maintainer
Sub tree
maintainer
developer
developer
developer
developer developer
developer
11. Dictator Workflow
kernel.org
Sub tree
maintainer
Sub tree
maintainer
Sub tree
maintainer
developer
developer
developer
developer developer
developer
14. init
[root@Beast git]# time git init
Initialized empty Git repository in .git/
real 0m0.129s
user 0m0.000s
sys 0m0.000s
[root@Beast hg]# time hg init
real 0m0.204s
user 0m0.020s
sys 0m0.010s
[root@Beast hg]#
15. add
[root@Beast git]# time git add file0
real 0m0.016s
user 0m0.000s
sys 0m0.000s
[root@Beast hg]# time hg add file0
real 0m0.098s
user 0m0.030s
sys 0m0.010s
17. status
[root@Beast git]# time git status
# On branch master
#
# Initial commit
#
# Untracked files:
# (use "git add <file>..." to include in what will be
committed)
#
# file0
nothing added to commit but untracked files present
(use "git add" to track)
real 0m0.034s
user 0m0.000s
sys 0m0.000s
31. $ hg l og
changeset :
t ag:
4: 2278160e78d4
ti p
the hg way
user : Br yan O' Sul l i van < bos@ pent i ne. com
ser >
dat e: Sat Aug 16 22: 16: 53 2008 + 0200
sum ar y:
m Tr i m com ent s.
m
changeset : 3: 0272e0d5a517
user : Br yan O' Sul l i van < bos@ pent i ne. com
ser >
dat e: Sat Aug 16 22: 08: 02 2008 + 0200
sum ar y:
m Get m ake t o gener at e t he f i nal bi nar y
f r om a . o f i l e.
changeset : 2: f ef 857204a0c
user : Br yan O' Sul l i van < bos@ pent i ne. com
ser >
dat e: Sat Aug 16 22: 05: 04 2008 + 0200
sum ar y:
m I nt r oduce a t ypo i nt o hel l o. c.
changeset : 1: 82e55d328c8c
user : m @ eni c. com
pm sel
dat e: Fr i Aug 26 01: 21: 28 2005 - 0700
sum ar y:
m Cr eat e a m akef i l e
changeset : 0: 0a04b987be5a
user : m @ eni c. com
pm sel
dat e: Fr i Aug 26 01: 20: 50 2005 - 0700
sum ar y:
m Cr eat e a st andar d " hel l o, w l d" pr ogr am
or
32. the hg way
$ hg log -r 3
changeset: 3:0272e0d5a517
user: Bryan O'Sullivan <[email protected]>
date: Sat Aug 16 22:08:02 2008 +0200
summary: Get make to generate the final binary from a .o file.
$ hg log -r 0272e0d5a517
changeset: 3:0272e0d5a517
user: Bryan O'Sullivan <[email protected]>
date: Sat Aug 16 22:08:02 2008 +0200
summary: Get make to generate the final binary from a .o file.
$ hg log -r 1 -r 4
$ hg log -r 2:4
$ hg log -v -p -r 2
33. $ gi t l og the git way
com i t ca82a6df f 817ec66f 44342007202690a93763949
m
Aut hor : Scot t Chacon < schacon@ gee- m l . com
ai >
Dat e: Mon M ar 17 21: 52: 11 2008 - 0700
changed t he ver si on number
com i t 085bb3bcb608e1e8451d4b2432f 8ecbe6306e7e7
m
Aut hor : Scot t Chacon < schacon@ gee- m l . com
ai >
Dat e: Sat M ar 15 16: 40: 33 2008 - 0700
r emoved unnecessar y t est code
com i t a11bef 06a3f 659402f e7563abf 99ad00de2209e6
m
Aut hor : Scot t Chacon < schacon@ gee- m l . com
ai >
Dat e: Sat M ar 15 10: 31: 28 2008 - 0700
f i r st com i t
m
34. $ gi t l og m er ~
ast 2
$ gi t l og m er ~ . m er ~
ast 2. ast 4
$ gi t l og m er ^ 1 = gi t l og
ast 1^ =
m er ~
ast 2
$ gi t l og m er ^
ast 2
$ gi t l og -p
$ gi t l og – si nce= w2. eeks
$ gi t l og - - col or the git way
36. [ r oot @Beast gi t ] # cat f i l e1
l i ne1
[ r oot @Beast gi t ] # echo ' l i ne2' >>
f i l e1
[ r oot @Beast gi t ] # gi t di f f
di f f - - gi t a/ f i l e1 b/ f i l e1
i ndex a29bdeb. . c0d0f b4 100644
- - - a/ f i l e1
+ + b/ f i l e1
+
@ -1 + 2 @
@ 1, @
l i ne1
+ i ne2
l
37. [ r oot @Beast hg] # cat f i l e1
l i ne1
[ r oot @Beast hg] # echo ' l i ne2' >>
f i l e1
[ r oot @Beast hg] # hg di f f
di f f - r d2cf a0a39f b6 f i l e1
- - - a/ f i l e1 Sun Apr 25 05: 32: 01
2010 + 0300
+ + b/ f i l e1
+ Sun Apr 25 05: 32: 19
2010 + 0300
@ - 1, 1 + 2 @
@ 1, @
l i ne1
+ i ne2
l
38. grep
* search only the project
* search trough the working copy
[ r oot @ Beast hg] # hg gr ep l i ne
f i l e1: 6: l i ne1
[ r oot @ Beast gi t ] # gi t gr ep l i ne
f i l e1: l i ne1
f i l e1: l i ne2
40. $ gi t cl one di r
$ gi t cl one gi t : / / host / di r
$ gi t cl one ht t p( s) : / / host / di r
$ gi t cl one r sync: / / [ user @ host / di r
]
$ gi t cl one ssh: / / [ user @ host ] / di r
ssh onl y: gi t cl one [ user @ host : di r
]
41. $ hg cl one ht t p: / / host / di r
$ hg cl one ssh: / / [ user @ host / di r
]
47. branching
GIT
HEAD – poi nt s t o t he most r ecent
com i t
m i n t he cur r ent br anch
m er
ast – a speci al nam br anch
ed
Mercurial
t i p – poi nt s t o t he most r ecent
com i t
m
H ead – i s t he t i p or t he t i ps of
m gi ng br anches
er
48. branching
GIT
$ gi t br anch br anch_ name
$ gi t checkout br anch_ nam e
Mercurial
$ hg br anch br anch_ name
$ hg updat e br anch_ name
49. tags vs. branches
* Tags i n m cur i al ar e synonym t o
er s
a changeset
* Tags i n m cur i al ar e ver si on
er
cont r ol l ed
* Tags i n gi t ar e onl y a sym i nk t o
l
a com i t
m
* Tags i n gi t ar e onl y l ocal
* Br anches i n bot h ar e used f or
cont i nues devel opment
51. Blame / annotate
$ hg annot at e - u - d - c - l mysql
f l or i an 07b950dc7279 Tue M ar 02 . . . : 1: # / bi n/ sh
!
beekhof 67234f 982ab7 Thu J ul 05 . . . : 2: #
f l or i an 01a181a4165c Fr i Apr 02 . . . : 3: #
beekhof 67234f 982ab7 Thu J ul 05 . . . : 4: #M LySQ
beekhof 67234f 982ab7 Thu J ul 05 . . . : 5: #
beekhof 67234f 982ab7 Thu J ul 05 . . . : 6: #D escr i pt i on:
M anages a M L ySQ
beekhof 67234f 982ab7 Thu J ul 05 . . . : 8: #
f l or i an 380982a15dc8 Fr i Apr 23 . . . : 8: # Aut hor s: Al an
Rober t son:
f l or i an 380982a15dc8 Fr i Apr 23 . . . : 9: # J akub
J anczak:
f l or i an 380982a15dc8 Fr i Apr 23 . . . : 10: # Andr ew
Beekhof :
f l or i an 380982a15dc8 Fr i Apr 23 . . . : 11: #
Sebast i an Rei t enbach:
52. $ gi t bl am haw pl
e k.
^0e22116 ( r oot 2008- 07- 09 ... 1) # / usr / bi n/ per l - T
!
a5062333 ( val 2009- 06- 10 ... 2)
^0e22116 ( r oot 2008- 07- 09 ... 3) use st r i ct ;
^0e22116 ( r oot 2008- 07- 09 ... 4) use w ni ngs;
ar
37f b4989 ( val 2009- 06- 01 ... 5)
a5062333 ( val 2009- 06- 10 ... 6) use D : : m
BD ysql ;
a5062333 ( val 2009- 06- 10 ... 7) use PO X qw set si d) ,
SI (
qw W O AN ) ;
( NH G
..........
a5062333 ( val 2009- 06- 10 ... 12) i m t par se_ conf i g;
por
6ad3f f 60 ( val 2009- 06- 19 ... 13) i m t post _ a_ not e;
por
^0e22116 ( r oot 2008- 07- 09 ... 14)
^0e22116 ( r oot 2008- 07- 09 ... 15) # syst em var i abl es
^0e22116 ( r oot 2008- 07- 09 ... 16) $ENV{PATH = ' ' ;
}
7868b7e1 ( val 2010- 04- 23 ... 17) m $VERSI O = ' 2. 1. 0' ;
y N
^0e22116 ( r oot 2008- 07- 09 ... 18)
^0e22116 ( r oot 2008- 07- 09 ... 19) # def i ni ng f aul t hashes
$ gi t bl am - L 16, 18 haw pl
e k.
$ gi t bl am - L / use st r i ct / , / use D / haw pl
e BD k.