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.
Leveraging Structured Data To Reduce Disk, IO & Network BandwidthPerforce
Most of the data that is pulled out of an SCM like Perforce Helix is common across multiple workspaces. Leveraging this fact means only fetching the data once from the repository. By creating cheap copies or clones of this data on demand, it is possible to dramatically reduce the load on the network, disks and Perforce servers, while making near-instant workspaces available to users.
Handling Redis failover with ZooKeeperryanlecompte
This document discusses using ZooKeeper to automatically handle Redis failover. ZooKeeper is an open-source tool that provides primitives for building distributed applications and handles tasks like leader election and quorum management. The presenter describes how his redis_failover Ruby gem uses ZooKeeper to monitor Redis servers, detect failures, and automatically inform clients so they reconnect to the new master, preventing downtime during a failover. Several companies already use this approach with redis_failover to make their Redis infrastructure more robust and fault-tolerant.
Counting image views using redis clusterRedis Labs
Streaming Logs and Processing View Counts using Redis Cluster
Seandon Mooy
(Imgur)
When you browse through Imgur, you notice that each user's post includes the number of views for that particular post. Imgur processes over 3 billion views per month and powers our view count feature using Redis. In this talk, we cover our current architecture for streaming logs and processing view counts using Redis Cluster, as well as some of the alternatives we explored and why we chose Redis.
Redis Day Keynote Salvatore Sanfillipo Redis LabsRedis Labs
Redis' seventh birthday was recently celebrated with the community, several contributors and users. This is Salvatore's keynote as he kicked off Redis Day in Tel Aviv.
Redis Developers Day 2014 - Redis Labs TalksRedis Labs
These are the slides that the Redis Labs team had used to accompany the session that we gave during the first ever Redis Developers Day on October 2nd, 2014, London. It includes some of the ideas we've come up with to tackle operational challenges in the hyper-dense, multi-tenants Redis deployments that our service - Redis Cloud - consists of.
The document discusses how Redis is used at Facebook to solve two problems:
1) Serving user configurations in real-time by using a hierarchical master-slave replication architecture with global and regional masters and slaves to distribute reads and allow writes at different levels.
2) Processing stats data in real-time by using a split data processing model where daily bulk processing is done separately from real-time processing by tailers that insert stats into a sharded Redis cluster using HINCRBY.
Redis in a Multi Tenant Environment–High Availability, Monitoring & Much More! Redis Labs
This document discusses best practices for running Redis in a multi-tenant environment. It covers architectural considerations like high availability, security and isolation techniques using ACLs and SSL, and the importance of monitoring and understanding your environment. The key opportunities are that failover is easy to implement, changes can be introduced smoothly, and the architecture is reusable. Challenges include managing global sentinels and Redis drivers. Case studies demonstrate issues like customer spikes causing problems and the importance of monitoring.
Day 2 General Session Presentations RedisConfRedis Labs
The document discusses new memory technologies like persistent memory and their implications. It provides latency and bandwidth numbers for different memory types and notes that heterogeneous memory systems using tiers of DRAM and NVM provide opportunities for better performance and cost. Examples are given of key-value stores and databases leveraging NVM to achieve high performance while reducing costs. The talk also discusses how new distributed data structures like CRDTs could be used across servers with shared memory.
This document provides an overview of revision control systems and compares centralized (e.g. SVN) and distributed (e.g. Git) systems. It discusses the benefits of Git such as independence from network state, fast performance due to locality, and smaller repository sizes. Basic Git concepts and commands are explained, and different Git workflows including "squash" and branching models are described to provide clarity and workflow control for teams.
This document discusses testing Kubernetes and OpenShift at scale. It describes installing large clusters of 1000+ nodes, using scalability test tools like the Kubernetes performance test repo and OpenShift SVT repo to load clusters and generate traffic. Sample results show loading clusters with thousands of pods and projects, and peaks in master node resource usage when loading and deleting hundreds of pods simultaneously.
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...Jeremy Eder
This document summarizes performance tuning techniques for OpenShift 3.5 and Docker 1.12. It discusses optimizing components like etcd, container storage, routing, metrics and logging. It also describes tools for testing OpenShift scalability through cluster loading, traffic generation and concurrent operations. Specific techniques are mentioned like using etcd 3.1, overlay2 storage and moving image metadata to the registry.
Escalando Foursquare basado en Checkins y RecomendacionesManuel Vargas
1) Foursquare scaled its data storage by sharding and replicating across multiple databases as user and venue data grew significantly.
2) As the application complexity increased, Foursquare transitioned to a service-oriented architecture using Finagle for RPC but faced challenges with duplication, tracing issues, and reliability.
3) Foursquare developed common tools for builds, deploys, monitoring, tracing, and circuit breaking to help manage the increasingly distributed system and facilitate independent development of features.
Bitsy 1.5 features improvements to memory efficiency through more compact data structures and lock-free reading algorithms. Benchmarks show the read throughput exceeds 10M reads/sec and is comparable to Neo4J when the graph fits in memory. Bitsy continues to outperform in write throughput due to its "No Seek" writing principle. The release is available with AGPL or commercial licensing options.
This document discusses using Alluxio with Spark to improve performance when working with big data. It provides an overview of Alluxio and how it can be used to accelerate Spark jobs by consolidating memory, providing data resilience, and enabling data access from different storage systems at memory speed. Performance tests show that Alluxio provides 2-17x speedups over Spark alone for reading RDDs and DataFrames from remote storage like S3, by caching the data in memory.
In the Cloud Native community, eBPF is gaining popularity, which can often be the best solution for solving different challenges with deep observability of system. Currently, eBPF is being embraced by major players.
Mydbops co-Founder, Kabilesh P.R (MySQL and Mongo Consultant) illustrates on debugging linux issues with eBPF. A brief about BPF & eBPF, BPF internals and the tools in actions for faster resolution.
This document discusses the architecture of the CRX and Granite platforms and the repository bundle. It outlines how the repository is packaged and deployed as an OSGi bundle, exposing the JCR API and services. It also describes adding JMX support to provide monitoring and diagnostics of the repository via MBeans instead of JSP pages. Future ideas mentioned include additional extension points and potentially breaking the repository into smaller modular bundles.
The Stack Exchange infrastructure supports 560 million page views and 34TB of data transferred per month across multiple technology stacks and datacenters. Performance is the top priority, and tools like Mini Profiler, OpServer, and Client Timings are used to monitor and improve performance. The infrastructure is designed with redundancy across networks, load balancers, web and database servers, caching, and search to ensure high availability and fast response times below 60ms for core pages.
Petabyte Scale Object Storage Service Using Ceph in A Private Cloud - Varada ...Ceph Community
This document discusses Flipkart's use of Ceph object storage to provide a petabyte-scale object storage service. Key points:
- Flipkart runs two large data centers hosting over 20,000 servers and 60,000 VMs to power its e-commerce marketplace.
- It developed a highly scalable object storage service using Ceph to store over 1.5 billion objects totaling around 2PB of data. This service provides APIs compatible with AWS S3.
- The Ceph clusters are deployed across SSDs and HDDs to provide different performance and cost tiers for shared active, backup, and archival workloads with different SLAs around latency, throughput, and durability
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.
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
Speed up large-scale ML/DL offline inference job with AlluxioAlluxio, Inc.
Microsoft used Alluxio to speed up large-scale machine learning inference jobs running on Azure. Alluxio helped optimize data access patterns by caching and prefetching input data while streaming output, reducing I/O stalls and improving GPU utilization. This led to inference jobs completing 18% faster compared to without Alluxio. Further work includes adding write retry handling and adopting Alluxio for training jobs which have different data access patterns.
This document discusses OpenShift, an open source Platform as a Service (PaaS) from Red Hat. It provides an overview of OpenShift Origin, including that it runs on Linux, uses brokers and nodes to manage containers called gears that deploy user applications using cartridges. It also summarizes how to get involved with the OpenShift community through forums, blogs, GitHub and IRC/email lists. The conclusion encourages attendees to join the community as PaaS can benefit both developers and sysadmins.
This document provides an overview of performance tuning for a content repository. It discusses identifying performance issues, investigating potential causes related to hardware, the repository, applications or clients. Possible solutions include changing content, configuration, code or upgrading hardware. The document also summarizes key aspects of the repository internals like the data store, persistence manager, query index and clustering. Specific tips are provided for basic content access, batch processing and query performance.
[Tel aviv merge world tour] Perforce Server UpdatePerforce
This document outlines Perforce's distributed development roadmap. It discusses upcoming improvements to replication including filtered replication, chained replicas, and Git replication. A new "100X initiative" aims to optimize failover, reduce network load, enable horizontal scaling, and improve concurrency. Key goals for 2014 include horizontal scaling of read operations, high availability and failover capabilities, and improved replication throughput. The roadmap emphasizes support for remote sites through techniques like commit/edge servers and filtering replicas.
Learn from the dozens of large-scale deployments how to get the most out of your Kubernetes environment:
- Container images optimization
- Organizing namespaces
- Readiness and Liveness probes
- Resource requests and limits
- Failing with grace
- Mapping external services
- Upgrading clusters with zero downtime
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...Jeremy Eder
earn tips and tricks on how to best configure and tune your container infrastructure for maximum performance and scale. The Performance Engineering Group at Red Hat is responsible for performance of the complete container portfolio, including Docker, RHEL Atomic, Kubernetes and OpenShift. We will share: - Latest Performance Features in OpenShift, Docker and RHEL Atomic, tips and tricks on how to best configure and tune your system for maximum performance and scale - Latest performance and scale test results, using RHEL Atomic, OpenvSwitch, Cockpit multi-server container management - DevOps, Agile approach to Performance Analysis of OpenShift, Kubernetes, Docker and RHEL Atomic - Test harness code and example scripts
Audience
The audience is anyone interested in deploying containers to run performance sensitive workloads, as well as architecting highly scalable distributed systems for hosting those workloads. This includes workloads that require NUMA awareness, direct hardware access and kernel-bypass I/O.
Git Is A State Of Mind - The path to becoming a Master of the mystic art of GitNicola Costantino
"The path to becoming a Master of the mystic art of Git".
A rolling-release presentation on some of the less known internal aspects and commands of Git, some advice for a better use and common workflows.
The document discusses advantages of using Git over centralized version control systems like SVN. It notes that Git is distributed, meaning the full history is stored locally on each user's machine with no single point of failure. It also summarizes that Git is extremely fast for local operations since there is no network latency. Additionally, Git repositories and working directories take up much less disk space than SVN. The document provides examples of Git commands for basic workflows like committing, branching, merging, and pushing/pulling changes. It also discusses strategies for code reviews and rebasing vs merging branches in Git.
Day 2 General Session Presentations RedisConfRedis Labs
The document discusses new memory technologies like persistent memory and their implications. It provides latency and bandwidth numbers for different memory types and notes that heterogeneous memory systems using tiers of DRAM and NVM provide opportunities for better performance and cost. Examples are given of key-value stores and databases leveraging NVM to achieve high performance while reducing costs. The talk also discusses how new distributed data structures like CRDTs could be used across servers with shared memory.
This document provides an overview of revision control systems and compares centralized (e.g. SVN) and distributed (e.g. Git) systems. It discusses the benefits of Git such as independence from network state, fast performance due to locality, and smaller repository sizes. Basic Git concepts and commands are explained, and different Git workflows including "squash" and branching models are described to provide clarity and workflow control for teams.
This document discusses testing Kubernetes and OpenShift at scale. It describes installing large clusters of 1000+ nodes, using scalability test tools like the Kubernetes performance test repo and OpenShift SVT repo to load clusters and generate traffic. Sample results show loading clusters with thousands of pods and projects, and peaks in master node resource usage when loading and deleting hundreds of pods simultaneously.
Red Hat Summit 2017: Wicked Fast PaaS: Performance Tuning of OpenShift and D...Jeremy Eder
This document summarizes performance tuning techniques for OpenShift 3.5 and Docker 1.12. It discusses optimizing components like etcd, container storage, routing, metrics and logging. It also describes tools for testing OpenShift scalability through cluster loading, traffic generation and concurrent operations. Specific techniques are mentioned like using etcd 3.1, overlay2 storage and moving image metadata to the registry.
Escalando Foursquare basado en Checkins y RecomendacionesManuel Vargas
1) Foursquare scaled its data storage by sharding and replicating across multiple databases as user and venue data grew significantly.
2) As the application complexity increased, Foursquare transitioned to a service-oriented architecture using Finagle for RPC but faced challenges with duplication, tracing issues, and reliability.
3) Foursquare developed common tools for builds, deploys, monitoring, tracing, and circuit breaking to help manage the increasingly distributed system and facilitate independent development of features.
Bitsy 1.5 features improvements to memory efficiency through more compact data structures and lock-free reading algorithms. Benchmarks show the read throughput exceeds 10M reads/sec and is comparable to Neo4J when the graph fits in memory. Bitsy continues to outperform in write throughput due to its "No Seek" writing principle. The release is available with AGPL or commercial licensing options.
This document discusses using Alluxio with Spark to improve performance when working with big data. It provides an overview of Alluxio and how it can be used to accelerate Spark jobs by consolidating memory, providing data resilience, and enabling data access from different storage systems at memory speed. Performance tests show that Alluxio provides 2-17x speedups over Spark alone for reading RDDs and DataFrames from remote storage like S3, by caching the data in memory.
In the Cloud Native community, eBPF is gaining popularity, which can often be the best solution for solving different challenges with deep observability of system. Currently, eBPF is being embraced by major players.
Mydbops co-Founder, Kabilesh P.R (MySQL and Mongo Consultant) illustrates on debugging linux issues with eBPF. A brief about BPF & eBPF, BPF internals and the tools in actions for faster resolution.
This document discusses the architecture of the CRX and Granite platforms and the repository bundle. It outlines how the repository is packaged and deployed as an OSGi bundle, exposing the JCR API and services. It also describes adding JMX support to provide monitoring and diagnostics of the repository via MBeans instead of JSP pages. Future ideas mentioned include additional extension points and potentially breaking the repository into smaller modular bundles.
The Stack Exchange infrastructure supports 560 million page views and 34TB of data transferred per month across multiple technology stacks and datacenters. Performance is the top priority, and tools like Mini Profiler, OpServer, and Client Timings are used to monitor and improve performance. The infrastructure is designed with redundancy across networks, load balancers, web and database servers, caching, and search to ensure high availability and fast response times below 60ms for core pages.
Petabyte Scale Object Storage Service Using Ceph in A Private Cloud - Varada ...Ceph Community
This document discusses Flipkart's use of Ceph object storage to provide a petabyte-scale object storage service. Key points:
- Flipkart runs two large data centers hosting over 20,000 servers and 60,000 VMs to power its e-commerce marketplace.
- It developed a highly scalable object storage service using Ceph to store over 1.5 billion objects totaling around 2PB of data. This service provides APIs compatible with AWS S3.
- The Ceph clusters are deployed across SSDs and HDDs to provide different performance and cost tiers for shared active, backup, and archival workloads with different SLAs around latency, throughput, and durability
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.
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
Speed up large-scale ML/DL offline inference job with AlluxioAlluxio, Inc.
Microsoft used Alluxio to speed up large-scale machine learning inference jobs running on Azure. Alluxio helped optimize data access patterns by caching and prefetching input data while streaming output, reducing I/O stalls and improving GPU utilization. This led to inference jobs completing 18% faster compared to without Alluxio. Further work includes adding write retry handling and adopting Alluxio for training jobs which have different data access patterns.
This document discusses OpenShift, an open source Platform as a Service (PaaS) from Red Hat. It provides an overview of OpenShift Origin, including that it runs on Linux, uses brokers and nodes to manage containers called gears that deploy user applications using cartridges. It also summarizes how to get involved with the OpenShift community through forums, blogs, GitHub and IRC/email lists. The conclusion encourages attendees to join the community as PaaS can benefit both developers and sysadmins.
This document provides an overview of performance tuning for a content repository. It discusses identifying performance issues, investigating potential causes related to hardware, the repository, applications or clients. Possible solutions include changing content, configuration, code or upgrading hardware. The document also summarizes key aspects of the repository internals like the data store, persistence manager, query index and clustering. Specific tips are provided for basic content access, batch processing and query performance.
[Tel aviv merge world tour] Perforce Server UpdatePerforce
This document outlines Perforce's distributed development roadmap. It discusses upcoming improvements to replication including filtered replication, chained replicas, and Git replication. A new "100X initiative" aims to optimize failover, reduce network load, enable horizontal scaling, and improve concurrency. Key goals for 2014 include horizontal scaling of read operations, high availability and failover capabilities, and improved replication throughput. The roadmap emphasizes support for remote sites through techniques like commit/edge servers and filtering replicas.
Learn from the dozens of large-scale deployments how to get the most out of your Kubernetes environment:
- Container images optimization
- Organizing namespaces
- Readiness and Liveness probes
- Resource requests and limits
- Failing with grace
- Mapping external services
- Upgrading clusters with zero downtime
KubeCon NA, Seattle, 2016: Performance and Scalability Tuning Kubernetes for...Jeremy Eder
earn tips and tricks on how to best configure and tune your container infrastructure for maximum performance and scale. The Performance Engineering Group at Red Hat is responsible for performance of the complete container portfolio, including Docker, RHEL Atomic, Kubernetes and OpenShift. We will share: - Latest Performance Features in OpenShift, Docker and RHEL Atomic, tips and tricks on how to best configure and tune your system for maximum performance and scale - Latest performance and scale test results, using RHEL Atomic, OpenvSwitch, Cockpit multi-server container management - DevOps, Agile approach to Performance Analysis of OpenShift, Kubernetes, Docker and RHEL Atomic - Test harness code and example scripts
Audience
The audience is anyone interested in deploying containers to run performance sensitive workloads, as well as architecting highly scalable distributed systems for hosting those workloads. This includes workloads that require NUMA awareness, direct hardware access and kernel-bypass I/O.
Git Is A State Of Mind - The path to becoming a Master of the mystic art of GitNicola Costantino
"The path to becoming a Master of the mystic art of Git".
A rolling-release presentation on some of the less known internal aspects and commands of Git, some advice for a better use and common workflows.
The document discusses advantages of using Git over centralized version control systems like SVN. It notes that Git is distributed, meaning the full history is stored locally on each user's machine with no single point of failure. It also summarizes that Git is extremely fast for local operations since there is no network latency. Additionally, Git repositories and working directories take up much less disk space than SVN. The document provides examples of Git commands for basic workflows like committing, branching, merging, and pushing/pulling changes. It also discusses strategies for code reviews and rebasing vs merging branches in Git.
Git is a version control system that allows users to synchronize branches and rewrite history. It stores project data in objects including blobs for file contents, trees for directories, commits for snapshots, and tags for references. Commits, branches, and tags are referenced by SHA-1 hashes or names. Rebasing replays commits onto another branch to keep a linear history, while merging uses commit objects to join branches. The reflog tracks reference updates and allows recovering from errors. Interactive rebasing edits the commit history. Bisecting helps identify the commit introducing a bug by binary searching the commit history.
This document provides a summary of Git and its features:
Git is a distributed version control system designed by Linus Torvalds for tracking changes in source code during software development. It allows developers to work simultaneously and merge their changes. Key features include rapid branching and merging, distributed development, strong integrity and consistency. Git stores content addressed objects in its database and uses SHA-1 hashes to identify content.
The Basics of Open Source Collaboration With Git and GitHubBigBlueHat
A revised/minimized version of Nick Quaranto's (http://www.slideshare.net/qrush ) presentation on the same topic. This revised version was used to present Git to a group of students at ECPI who were not yet familiar with the concepts of version control or Git.
This document provides an introduction to Git and GitHub. It discusses what Git is, including that it is a distributed version control system that tracks changes to source code. It covers key Git concepts like repositories, commits, branches, remotes, and the two stage commit process. It also introduces GitHub and how it builds on Git by providing additional collaboration features like forking repositories, pull requests, and code review.
Git: An introduction of plumbing and porcelain commandsth507
This document provides an introduction to Git and version control systems. It begins with a poll asking about experience with Git, SVN, and git rebase. It then discusses key Git concepts like distributed version control, the working/staging area, and how Git works. It covers the different types of version control systems and compares centralized and distributed models. The document dives deeper into Git objects like blobs, trees, commits and references. It also distinguishes between low-level plumbing commands and higher-level porcelain commands.
This document provides information about connecting to a WiFi network called RAV-TRAINING with the password "Solve Challenges". It also includes links to slides and demo code for a presentation on making Git work effectively. The presentation discusses rebasing vs merging, dealing with merge conflicts, squashing commits, and using tools like git reflog, git worktree, and code review to improve workflows with Git. Common branching strategies involving master, development, and release branches are also outlined.
Git is version control software that allows tracking changes to code over time. It allows easy collaboration and offline work. Git works with entire code repositories rather than individual files, offering better performance than other version control systems. The basic Git workflow involves adding files, committing changes to a local repository, and pushing commits to a remote server repository. Branches allow isolated development and merging of features.
Git is a version control system that tracks changes to files. It maintains a graph of commits where each commit is a node. The key concepts covered are Git references, the file status lifecycle between the working directory, staging area and Git directory, and common commands like add, commit, log and status. Branching allows independent lines of development and fast-forward merging can linearly integrate feature branches. Tags mark important points in history. The --amend flag replaces the most recent commit. Remote branches exist on remote servers while local branches are only visible locally.
This document provides an introduction to version control with Git. It discusses the basic Git model and workflow, including cloning repositories, making local changes, staging files, and committing changes. It compares Git to centralized version control systems like Subversion and highlights Git's distributed and non-linear development advantages. Basic Git commands are explained like add, commit, status, diff, log, pull and push. Branching and merging with Git are also introduced.
Slides from my talk at ALT.NET Cork.
Unlike centralized version control systems, the distributed nature of Git allows you to be far more flexible in how developers collaborate on projects.In this session I'll take you through a quick tour of the essential git commands with some demos.We'll cover branching and merging strategies, pull requests ,working on open source (GitHub etc), git clients and git deployments to the cloud.
This document provides an introduction to Git and GitHub. It begins with an overview of source control and the history of version control systems like SVN and CVS. It then discusses key Git concepts like its three-tree architecture, branches and merging, and undoing changes. The document concludes with an introduction to GitHub, including how to clone repositories, collaborate through pull requests, and link a local Git repository to a remote GitHub repository.
This document provides an introduction to Git and GitHub. It outlines the basics of Git including initializing repositories, tracking changes, branching, merging, and resolving conflicts. It also covers GitHub concepts such as cloning repositories from GitHub to a local machine and pushing/pulling changes between local and remote repositories. The document explains how to collaborate on projects hosted on GitHub using Git.
Git is a version control system created by Linus Torvalds in 2005 to manage the Linux kernel source code. It is a distributed system where each user has their own local repository that can be synced with remote repositories. The basic Git workflow involves modifying files locally, staging them, and committing snapshots of the staged files to the local repository. Git tracks changes at a file level and uses SHA-1 hashes to identify commits rather than sequential version numbers.
Git is a distributed version control system that allows developers to work on projects locally before pushing changes to remote repositories. It uses snapshots of file changes and checksums rather than file version numbers to track file history. The basic Git workflow involves modifying files locally, staging changes, and committing snapshots of the staged changes to the local repository. Changes can then be pulled from and pushed to remote repositories like GitHub.
This document provides an introduction to Git and GitHub. It begins with an overview of source control and the history of version control systems like SVN and CVS. It then discusses key concepts of Git like its three-tree architecture, branches and merging, and undoing changes. The document concludes with an introduction to GitHub, how to clone and collaborate on repositories, and some tips on reducing merge conflicts.
The Best of Both Worlds: Hybrid Clustering with Delta Lakecarlyakerly1
The Best of Both Worlds: Hybrid Clustering with Delta Lake
This deck walks you through best practices, real-world use cases, and hybrid approaches to help you maximize performance while keeping your creative freedom intact.
Video of full session: https://www.youtube.com/watch?v=0Gbq3B1FI-8
How to Organize Game Developers With Different Planning NeedsPerforce
Different skills have different needs when it comes to planning. For a coder it may make perfect sense to plan work in two-week sprints, but for an artist, an asset may take longer than two weeks to complete.
How do you allow different skills to plan the way that works best for them? Some studios may choose to open up for flexibility – do whatever you like! But that tends to cause issues with alignment and siloes of data, resulting in loss of vision. Lost vision in the sense that it is difficult to understand, but also — and maybe more importantly — the risk of losing the vision of what the game will be.
With the right approach, however, you can avoid these obstacles. Join backlog expert Johan Karlsson to learn:
-The balance of team autonomy and alignment.
-How to use the product backlog to align the project vision.
-How to use tools to support the flexibility you need.
Looking for a planning and backlog tool? You can try Hansoft for free.
Regulatory Traceability: How to Maintain Compliance, Quality, and Cost Effic...Perforce
How do regulations impact your product requirements? How do you ensure that you identify all the needed requirements changes to meet these regulations?
Ideally, your regulations should live alongside your product requirements, so you can trace among each related item. Getting to that point can be quite an undertaking, however. Ultimately you want a process that:
-Saves money
-Ensures quality
-Avoids fines
If you want help achieving these goals, this webinar is for you. Watch Tom Totenberg, Senior Solutions Engineer for Helix ALM, show you:
-How to import a regulation document into Helix ALM.
-How to link to requirements.
-How to automate impact analysis from regulatory updates.
Efficient Security Development and Testing Using Dynamic and Static Code Anal...Perforce
Be sure to register for a demo, if you would like to see how Klocwork can help ensure that your code is secure, reliable, and compliant.
https://www.perforce.com/products/klocwork/live-demo
If it’s not documented, it didn’t happen.
When it comes to compliance, if you’re doing the work, you need to prove it. That means having well-documented SOPs (standard operating procedures) in place for all your regulated workflows.
It also means logging your efforts to enforce these SOPs. They show that you took appropriate action in any number of scenarios, which can be related to regulations, change requests, firing of an employee, logging an HR compliant, or anything else that needs a structured workflow.
But when do you need to do this, and how do you go about it?
In this webinar, Tom Totenberg, our Helix ALM senior solutions engineer, clarifies workflow enforcement SOPs, along with a walkthrough of how Perforce manages GDPR (General Data Protection Regulation) requests. He’ll cover:
-What are SOPs?
-Why is it important to have this documentation?
-Example: walking through our internal Perforce GDPR process.
-What to beware of.
-Building the workflow in ALM.
Branching Out: How To Automate Your Development ProcessPerforce
If you could ship 20% faster, what would it mean for your business? What could you build? Better question, what’s slowing your teams down?
Teams struggle to manage branching and merging. For bigger teams and projects, it gets even more complex. Tracking development using a flowchart, team wiki, or a white board is ineffective. And attempts to automate with complex scripting are costly to maintain.
Remove the bottlenecks and automate your development your way with Perforce Streams –– the flexible branching model in Helix Core.
Join Brad Hart, Chief Technology Officer and Brent Schiestl, Senior Product Manager for Perforce version control to learn how Streams can:
-Automate and customize development and release processes.
-Easily track and propagate changes across teams.
-Boost end user efficiency while reducing errors and conflicts.
-Support multiple teams, parallel releases, component-based development, and more.
How to Do Code Reviews at Massive Scale For DevOpsPerforce
Code review is a critical part of your build process. And when you do code review right, you can streamline your build process and achieve DevOps.
Most code review tools work great when you have a team of 10 developers. But what happens when you need to scale code review to 1,000s of developers? Many will struggle. But you don’t need to.
Join our experts Johan Karlsson and Robert Cowham for a 30-minute webinar. You’ll learn:
-The problems with scaling code review from 10s to 100s to 1,000s of developers along with other dimensions of scale (files, reviews, size).
-The solutions for dealing with all dimensions of scale.
-How to utilize Helix Swarm at massive scale.
Ready to scale code review and streamline your build process? Get started with Helix Swarm, a code review tool for Helix Core.
By now many of us have had plenty of time to clean and tidy up our homes. But have you given your product backlog and task tracking software as much attention?
To keep your digital tools organized, it is important to avoid hoarding on to inefficient processes. By removing the clutter in your product backlog, you can keep your teams focused.
It’s time to spark joy by cleaning up your planning tools!
Join Johan Karlsson — our Agile and backlog expert — to learn how to:
-Apply digital minimalism to your tracking and planning.
-Organize your work by category.
-Motivate teams by transitioning to a cleaner way of working.
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Going Remote: Build Up Your Game Dev Team Perforce
Everyone’s working remote as a result of the coronavirus (COVID-19). And while game development has always been done with remote teams, there’s a new challenge facing the industry.
Your audience has always been mostly at home – now they may be stuck there. And they want more games to stay happy and entertained.
So, how can you enable your developers to get files and feedback faster to meet this rapidly growing demand?
In this webinar, you’ll learn:
-How to meet the increasing demand.
-Ways to empower your remote teams to build faster.
-Why Helix Core is the best way to maximize productivity.
Plus, we’ll share our favorite games keeping us happy in the midst of a pandemic.
Shift to Remote: How to Manage Your New WorkflowPerforce
The spread of coronavirus has fundamentally changed the way people work. Companies around the globe are making an abrupt shift in how they manage projects and teams to support their newly remote workers.
Organizing suddenly distributed teams means restructuring more than a standup. To facilitate this transition, teams need to update how they collaborate, manage workloads, and maintain projects.
At Perforce, we are here to help you maintain productivity. Join Johan Karlsson — our Agile expert — to learn how to:
Keep communication predictable and consistent.
-Increase visibility across teams.
-Organize projects, sprints, Kanban boards and more.
-Empower and support your remote workforce.
Hybrid Development Methodology in a Regulated WorldPerforce
In a regulated industry, collaboration can be vital to building quality products that meet compliance. But when an Agile team and a Waterfall team need to work together, it can feel like mixing oil with water.
If you're used to Agile methods, Waterfall can feel slow and unresponsive. From a Waterfall perspective, pure Agile may lack accountability and direction. Misaligned teams can slow progress, and expose your development to mistakes that undermine compliance.
It's possible to create the best of both worlds so your teams can operate together harmoniously. This is how to develop products quickly, and still make regulators happy.
Join ALM Solutions Engineer Tom Totenberg in this webinar to learn how teams can:
- Operate efficiently with differing methodologies.
- Glean best practices for their tailored hybrid.
- Work together in a single environment.
Watch the webinar, and when you're ready for a tool to help you with the hybrid, know that you can try Helix ALM for free.
Better, Faster, Easier: How to Make Git Really Work in the EnterprisePerforce
There's a lot of reasons to love Git. (Git is awesome at what it does.) Let’s look at the 3 major use cases for Git in the enterprise:
1. You work with third party or outsourced development teams.
2. You use open source in your products.
3. You have different workflow needs for different teams.
Making the best of Git can be difficult in an enterprise environment. Trying to manage all the moving parts is like herding cats.
So, how do you optimize your teams’ use of Git — and make it all fit into your vision of the enterprise SDLC?
You’ll learn about:
-The challenges that accompany each use case — third parties, open source code, different workflows.
-Ways to solve these problems.
-How to make Git better, faster, and easier — with Perforce
Easier Requirements Management Using Diagrams In Helix ALMPerforce
Sometimes requirements need visuals. Whether it’s a diagram that clarifies an idea or a screenshot to capture information, images can help you manage requirements more efficiently. And that means better quality products shipped faster.
In this webinar, Helix ALM Professional Services Consultant Gerhard Krüger will demonstrate how to use visuals in ALM to improve requirements. Learn how to:
-Share information faster than ever.
-Drag and drop your way to better teamwork.
-Integrate various types of visuals into your requirements.
-Utilize diagram and flowchart software for every need.
-And more!
Immediately apply the information in this webinar for even better requirements management using Helix ALM.
It’s common practice to keep a product backlog as small as possible, probably just 10-20 items. This works for single teams with one Product Owner and perhaps a Scrum Master.
But what if you have 100 Scrum teams managing a complex system of hardware and software components? What do you need to change to manage at such a massive scale?
Join backlog expert Johan Karlsson to learn how to:
-Adapt Agile product backlog practices to manage many backlogs.
-Enhance collaboration across disciplines.
-Leverage backlogs to align teams while giving them flexibility.
Achieving Software Safety, Security, and Reliability Part 3: What Does the Fu...Perforce
In Part 3, we will look at what the future might hold for embedded programming languages and development tools. And, we will look at the future for software safety and security standards.
How to Scale With Helix Core and Microsoft Azure Perforce
This document discusses how to scale Helix Core using Microsoft Azure. It begins by explaining the benefits of using Helix Core and Azure together, such as high performance, scalability, security integration, and availability. It then covers computing, storage, and security options on Azure, including virtual machine types and operating system choices. Next, it describes how to set up global deployments with Helix Core on Azure using techniques like proxies, replicas, and the Perforce federated architecture. It concludes with examples of advanced topologies like build servers, hybrid cloud/on-premises implementations, and multi-cloud considerations.
Achieving Software Safety, Security, and Reliability Part 2Perforce
In Part 2, we will focus on the automotive industry, as it leads the way in enforcing safety, security, and reliability standards as well as best practices for software development. We will then examine how other industries could adopt similar practices.
Modernizing an application’s architecture is often a necessary multi-year project in the making. The goal –– to stabilize code, detangle dependencies, and adopt a toolset that ignites innovation.
Moving your monolith repository to a microservices/component based development model might be on trend. But is it right for you?
Before you break up with anything, it is vital to assess your needs and existing environment to construct the right plan. This can minimize business risks and maximize your development potential.
Join Tom Tyler and Chuck Gehman to learn more about:
-Why you need to plan your move with the right approach.
-How to reduce risk when refactoring your monolithic repository.
-What you need to consider before migrating code.
Achieving Software Safety, Security, and Reliability Part 1: Common Industry ...Perforce
In part one of our three-part webinar series, we examine common software development challenges, review the safety and security standards adopted by different industries, and examine the best practices that can be applied to any software development team.
The features you’ve been waiting for! Helix ALM’s latest update expands usability and functionality to bring solid improvements to your processes.
Watch Helix ALM Senior Product Manager Paula Rome demonstrate how new features:
-Simplify workflows.
-Expand report analysis.
-Boost productivity in the Helix ALM web client.
All this and MORE packed into an exciting 30 minutes! Get inspired. Be extraordinary with the new Helix ALM.
Companies that track requirements, create traceability matrices, and complete audits - especially for compliance - run into many problems using only Word and Excel to accomplish these tasks.
Most notably, manual processes leave employees vulnerable to making costly mistakes and wasting valuable time.
These outdated tracking procedures rob organizations of benefiting from four keys to productivity and efficiency:
-Automation
-Collaboration
-Visibility
-Traceability
However, modern application lifecycle management (ALM) tools solve all of these problems, linking and organizing information into a single source of truth that is instantly auditable.
Gerhard Krüger, senior consultant for Helix ALM, explains how the right software supports these fundamentals, generating improvements that save time and money.
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PDF Reader Pro is a software application, often referred to as an AI-powered PDF editor and converter, designed for viewing, editing, annotating, and managing PDF files. It supports various PDF functionalities like merging, splitting, converting, and protecting PDFs. Additionally, it can handle tasks such as creating fillable forms, adding digital signatures, and performing optical character recognition (OCR).
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Wondershare Filmora is a video editing software and app designed for both beginners and experienced users. It's known for its user-friendly interface, drag-and-drop functionality, and a wide range of tools and features for creating and editing videos. Filmora is available on Windows, macOS, iOS (iPhone/iPad), and Android platforms.
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Adobe Illustrator is a powerful, professional-grade vector graphics software used for creating a wide range of designs, including logos, icons, illustrations, and more. Unlike raster graphics (like photos), which are made of pixels, vector graphics in Illustrator are defined by mathematical equations, allowing them to be scaled up or down infinitely without losing quality.
Here's a more detailed explanation:
Key Features and Capabilities:
Vector-Based Design:
Illustrator's foundation is its use of vector graphics, meaning designs are created using paths, lines, shapes, and curves defined mathematically.
Scalability:
This vector-based approach allows for designs to be resized without any loss of resolution or quality, making it suitable for various print and digital applications.
Design Creation:
Illustrator is used for a wide variety of design purposes, including:
Logos and Brand Identity: Creating logos, icons, and other brand assets.
Illustrations: Designing detailed illustrations for books, magazines, web pages, and more.
Marketing Materials: Creating posters, flyers, banners, and other marketing visuals.
Web Design: Designing web graphics, including icons, buttons, and layouts.
Text Handling:
Illustrator offers sophisticated typography tools for manipulating and designing text within your graphics.
Brushes and Effects:
It provides a range of brushes and effects for adding artistic touches and visual styles to your designs.
Integration with Other Adobe Software:
Illustrator integrates seamlessly with other Adobe Creative Cloud apps like Photoshop, InDesign, and Dreamweaver, facilitating a smooth workflow.
Why Use Illustrator?
Professional-Grade Features:
Illustrator offers a comprehensive set of tools and features for professional design work.
Versatility:
It can be used for a wide range of design tasks and applications, making it a versatile tool for designers.
Industry Standard:
Illustrator is a widely used and recognized software in the graphic design industry.
Creative Freedom:
It empowers designers to create detailed, high-quality graphics with a high degree of control and precision.
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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
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Avast Premium Security is a paid subscription service that provides comprehensive online security and privacy protection for multiple devices. It includes features like antivirus, firewall, ransomware protection, and website scanning, all designed to safeguard against a wide range of online threats, according to Avast.
Key features of Avast Premium Security:
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Firewall: Controls network traffic and blocks unauthorized access to your devices, as noted by All About Cookies.
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In essence, Avast Premium Security provides a robust suite of tools to keep your devices and online activity safe and secure, according to Avast.
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
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When you say Xforce with GTA 5, it sounds like you might be talking about Xforce Keygen — a tool that's often mentioned in connection with cracking software like Autodesk programs.
BUT, when it comes to GTA 5, Xforce isn't officially part of the game or anything Rockstar made.
If you're seeing "Xforce" related to GTA 5 downloads or cracks, it's usually some unofficial (and risky) tool for pirating the game — which can be super dangerous because:
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
Key improvements and features of Cinema 4D 2025 include:
Procedural Modeling: New tools and workflows for creating models procedurally, including fabric weave and constellation generators.
Procedural Animation: Field Driver tag for procedural animation.
Simulation Enhancements: Improved particle, Pyro, and rigid body simulations.
Spline Tools: Enhanced spline tools for motion graphics and animation, including spline modifiers from Rocket Lasso now included for all subscribers.
Unified Simulation & Particles: Refined physics-based effects and improved particle systems.
Boolean System: Modernized boolean system for precise 3D modeling.
Particle Node Modifier: New particle node modifier for creating particle scenes.
Learning Panel: Intuitive learning panel for new users.
Redshift Integration: Maxon now includes access to the full power of Redshift rendering for all new subscriptions.
In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
Here's a more detailed breakdown:
Motion Graphics:
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After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations.
Visual Effects:
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It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements.
Video Compositing:
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Animation:
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After Effects is part of the Adobe Creative Cloud, a suite of software that includes other popular applications like Photoshop and Premiere Pro.
Post-Production Tool:
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After Effects is primarily used in the post-production phase, meaning it's used to enhance the visuals after the initial editing of footage has been completed.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
2. 2
Helix Branches vs. Git Branches
1. Compare Helix and Git data models
2. Changing branch mappings
3. Lightweight and Fully-populated branches
4. Ghost changelists
3. 3
Helix Branch Data Model
• Branches of depot hierarchy
• Set of files and the changes made to each file over time
• Tracks integration history between branches for each file
4. 4
Git Concepts not in Helix
• Commit hierarchy
• Branch references
• Common history across branches
• Anonymous branches
5. “Master Git,” said the historian, “what is the
nature of history?”
“History is immutable. To rewrite it later is to
tamper with the very fabric of existence.”
- Only the Gods, Git Koans, Steve Losh
6. 6
Anatomy of a Commit
• Comment
• Author
• Committer
• Tree
• Parent(s)
7. “I have a historical record of a merge commit with two
parents. How can I find out which branch each parent
was originally made on?”
“History is ephemeral,” replied Master Git,“the knowledge
you seek can be answered only by the gods.”
- Only the Gods, Git Koans, Steve Losh
8. 8
Git Branches
• A branch is simply a pointer to a commit
• History is a stream or series of workspace snapshots
9. 9
Helix Concepts not in Git
• Depot hierarchy
• Client view mapping
• File actions
• Individual file revisions are not tracked
• File integration history
• Branch on which a commit was made
11. 11
Changing Branch Mappings
• Adding a new branch
• Removing a branch or depot path
• Adding a depot path to existing branch mapping
• Adding a branch mapping with pre-existing history
35. 35
Who’s Afraid Of Ghosts?
Ghost changelists make Helix history
reflect Git History
• One-to-one mapping between Git and
Perforce file actions
• Diffing against previous revision
36. 36
What Manifests a Ghost?
• Pushing to a new fully-populated depot path
• Pushing to a commit to a new lightweight branch
• Push that must make the depot reflect a commit’s parent
37. 37
Identifying Ghost Changes
Change 14378 by git-fusion-user@git-fusion--temp-1-jk-centos-64-projx1
on 2016/02/23 14:02:16
Git Fusion branch management
Imported from Git
ghost-of-change-num: 14360
ghost-of-sha1: 709b0d2dd013dfe86022197633e528cc9db8c3f1
ghost-precedes-sha1: bff18f1bfb9e63a3a6e773deee946579457b210
parent-branch: None@14360
push-state: incomplete
38. 38
Branch Management Planning
• Anticipate branch mapping needs
• New fully-populated branches in real time
• Recognize ghosts
#2: - Already have, or are considering adding, one of our Git solutions.
- Recognize benefits of
- narrow cloning or the ability to slice and dice your depot into any manner of Git repo
- File-level protections
- Perforce Helix as single source of truth
- Security benefits and the ability to comply with some industry’s regulations
#3: - Discuss core functionality of our Git solutions - reconciling Perforce Helix branches and Git branches. Two very different models.
- Consider the two data models, and what branches mean in the two systems
- Look at how these branches are mapped between the systems and what it means to change those mappings
- LW vs FP
- Lastly, purpose ghost change lists
#4: Essential characteristics of Helix branches:
- Helix branches depict hierarchy - branches of depot hierarchy
- Changes to files tracked individually over time
- Integration history between file revisions is tracked. Resolve decisions (accept yours, theirs, merge? conflict resolved?) Each decision recorded
#5: • commit hierarchy: Each Git commit has one or more parents. Can’t say the changelist that came before this changelist is its parent
• branch references: Git branch references point to specific commits within the commit hierarchy.
• common history across branches: Git history often shares the same sequence of commits across several branches.
* anonymous branches: Git branch references can be deleted, or just not included with a git push. The result is that many sub-paths through Git commit history have no branch name.
#6: Now let’s look at the Git data model. The first aspect of Git history to consider is its immutability.
Actually, you can rewrite history, but you’ll probably tick your colleagues off if you do so.
#7: Anatomy of a Commit
Core objects in Git are blobs, which are files, trees, which are snapshots of files and directories, and commits. Commits make are what make sense of it all, and are analogous to change lists.
Each object gets a SHA1 calculation
Commit message
Author of the commit
Committer - usually the same as the author
Tree
Parent(s) - The SHA1 of one or more parent commits.
All part of SH A1 calc
Did you notice what was not in the commit?
#8: Git does not store branch info in its core data model.
While immutable, much of Git history is unknowable.
#9: Git history is just a series of of workspace snapshots, identified by its commits
A branch is simply a lightweight movable pointer to a commit.
#10: Git lacks helix concepts
Depot hierarchy - Git’s hierarchy is only the workspace tree, or workspace hierarchy, and commit hierarchy
Client view mapping - With no hierarchy, there is nothing to map
File actions - whether the file was added, edited, deleted, or moved, is not recorded. The action can only be inferred when comparing commits
Can’t refer to individual file revisions
File integration history - without file actions, per-file integration history is another step removed
On what branch was this commit made? not tracked
#11: - Git history immutable
- Changing anything in a commit causes a cascading effect
- Commit and changelist become bound
Early days Support had admonitions not to do anything that would “break history”
“Rebuild” if feasible
#12: Let’s consider the effects of making various changes to branch mappings, including…
Adding a new branch to the repo
Removing a branch or depot path
Adding a new depot path to an existing branch mapping
Adding branch mapping with pre-existing history
#14: Adding a mapping for a new branch has always been expected behavior
To go from Helix to Git:
Create the branch in Helix with p4 integ or p4 populate
Add the new branch mapping to your repo configuration
Pull it into your repo
#15: Same thing from the other side. Say you have a git branch you want mapped to a fully-populated branch in Helix
Add the mapping to the repo config
Push it to Git Fusion or GitSwarm
#16: - Core functionality rebuild a repo from Helix - recovery or new instance
- Stores commit and tree objects, blobs stored as file revisions
- Process commit, tree refers to blob that is no longer part of the repo’s view. Breakage
#18: 4 changelists. 2 in src directory and the other 2 in a doc folder
#25: By adding the doc depot path late, you don’t break anything.
But it’s not perfect – what if the git user was trying find when a bug was introduced?
She’d find the first commit available for this path, but the change that actually introduced it might have come before.
#26: Next we’ll consider adding a new branch mapping.
#29: - “merge foo” still there, but only one parent
- time of commit was processes, only 1 parent was known - stage branch did not exist for this repo
- content same
- new history will capture merge commits
#30: When making most changes to branch mappings, just know:
You can’t break Git history
Git Fusion protects
To most accurately reflect Helix history, think about what is needed
#31: Next we look at lightweight and fully populated branches, the differences between the two and the options you have for using them.
#32: - 2013.1 - unmapped branches were LW
- LW branches only capture what has changed
- Since creating integration history is a bit heavy, this reduced work
We had a way to accommodate any Git history
But paths are jarring to P4 users – describe path
Customers wanted predictable depot paths on the fly
#33: Enter the fully-populated branch.
Fully populated - target depot view reflects the state of the Git workspace for that branch.
(To be clear) All mapped branches are fully populated.
In 2014.2, we made it possible for Git users to create fully-populated Helix branches on the fly.
No longer need update config file manually!
#35: Describe slide
Our Git solutions generally put no onus on the end user. Git services look like regular git remotes
“explicit” setting is an exception.
#36: Make Helix history reflect Git history
Helix needs to branch a file into existence before you can delete it or easily compare a new revision to the previous revision
Diffing a new commit on new branch in git is the same as if it was on the same branch
Describe branch for delete
It’s this conceptual mismatch that led to the need for ghost changelists
#37: New FP depot path
Same for JIT on LW
Describe branch reuse - “task1” don’t forget deleting branch locally after first use
Create task1
Do some work, push
Merge into master, push1
Delete the local branch ref, and push
1 month later reuse task1
Do some work, push task1 – totally new basis, from a new parent
#39: Hopefully you better understand ramifications of making changes to repo branch mappings
- You recognize how projects are structured in Helix and how Git users will use the repo, and how the repo will likely evolve, will help you define your repos from the beginning
You have better idea whether to use FP branches on demand
See a ghost, don’t panic, you can figure out how it came about