Perforce Administration: Optimization, Scalability, Availability and Reliability

What is Replication? Why do we need Replication? How many replication layers do we have? Understanding milestones of built-in Database Physical Replication. What is the purpose of replication? and How to rescue system in case of failover? What is Streaming Replication and what is its advantages? Async vs Sync, Hot standby etc. How to configurate Master and Standby Servers? And What is the most important parameters? Example of topoloji. What is Cascading Replication and how to configurate it? Live Demo on Terminal. What is Logical Replication coming with PostgreSQL 10? And What is its advantages? Logical Replication vs Physical Replication Limitations of Logical Replication Quorum Commit for Sync Replication etc. What is coming up with PostgreSQL 11 about replication? 10 Questions quiz and giving some gifts to participants according to their success.

Perforce server replication allows a replica server to asynchronously mirror the data and transactions from a master server. It provides high availability, disaster recovery, and enables offloading of read-only workloads. The replication is performed using Perforce's journaling system, with the replica pulling missing journal entries and file revisions from the master server in the background. This allows setting up read-only replica servers with no external scripts required.

The document summarizes updates to CephFS in the Pacific release, including improvements to usability, performance, ecosystem integration, multi-site capabilities, and quality. Key updates include MultiFS now being stable, MDS autoscaling, cephfs-top for performance monitoring, scheduled snapshots, NFS gateway support, feature bits for compatibility checking, and improved testing coverage. Performance improvements include ephemeral pinning, capability management optimizations, and asynchronous operations. Multi-site replication between clusters is now possible with snapshot-based mirroring.

This session will be an overview of highly available components that can be deployed with Puppet Enterprise. It will focus on some of the current Beta support in PuppetDB as well as tips and tricks from the professional services department. The session will cover field solutions ( both supported and unsupported ) that allow architectures to be designed that align with different levels of high availability across the services that support running puppet on agent nodes during an outage of your primary puppet infrastructure.

From ChefConf 2015. https://youtu.be/qLacXoIEQfA Chef is an easy choice for managing a large infrastructure -- at Bloomberg we find it compelling to automate all our things. However, as your infrastructure grows into an interconnected automated organism, software patterns emerge. For Bloomberg's Hadoop clusters, our current set of open-source patterns emerged after only 10's of hosts, running 10's of recipes each. These patterns have been instrumental in building our even larger systems. This talk will walk through our large scale cluster management patterns: * Synchronous multi-machine service rolling-restart integrating Chef and Zookeeper for service restart * Multi-process monitoring service restart (more than subscribes) process table inspection for accidental or human intervention * Deploy_* providers for Hadoop -- the Hadoop Distributed File System presents unique challenges to Chef for deploying applications and artifacts. We provide primitives such as HDFS file, directory and template amongst Kafka topic creation, HBase table creation and even Kerberos support * Wrapper cookbook patterns: - Proxy pattern for pluggable actions (e.g. service restart wrapping) without picking through the run_context - Pitfalls for pluggable templates * Virtualized per-cluster Chef servers, built via Jenkins to be generic using Vagrant with the ability to (re)provision using chef-solo and Chef REST API and provide PXE to production operations

Apache Kafka is a distributed publish-subscribe messaging system that was originally created by LinkedIn and contributed to the Apache Software Foundation. It is written in Scala and provides a multi-language API to publish and consume streams of records. Kafka is useful for both log aggregation and real-time messaging due to its high performance, scalability, and ability to serve as both a distributed messaging system and log storage system with a single unified architecture. To use Kafka, one runs Zookeeper for coordination, Kafka brokers to form a cluster, and then publishes and consumes messages with a producer API and consumer API.

Pixar has scaled their use of Perforce over time to support increasing numbers of users, files, and data types associated with their animated films. They now have over 90 Perforce servers storing over 20 TB of data. To manage this scale, they utilize techniques like virtualization for flexible server provisioning, de-duplication to reduce storage usage, and scripts like Superp4 to automate management of metadata tables across multiple servers. While scaling has provided benefits, it has also introduced challenges around monitoring, performance, and administration across many interconnected systems.

This document discusses a solution for providing Puppet services globally across multiple regions with poor WAN connectivity. The solution involves building a "Puppeteer" master that acts as a central point of entry for code updates and certificate management. It ensures Puppet masters in each region are in sync. LDAP is used as an external node classifier to provide node definitions across regions. The Puppet file server replicates configuration between masters. F5 load balancers route clients to the nearest master and provide high availability if any master fails. Workflows for adding new servers and masters are also summarized.

This document provides an overview of Varnish, an open source caching reverse proxy that can accelerate web applications. It discusses what Varnish is, how it works, basic and advanced configuration options like backends, VCL, caching strategies, and Edge Side Includes. Installation and usage is demonstrated on common operating systems. The presentation aims to help attendees understand when and how to use Varnish to improve application performance.

This is a presentation given by Jeremy Alons, Spot Trading, at the DevOps Summit Chicago in August 2014. Jeremy shares how Spot Trading does automated deployments for mission-critical financial services with a case study in continuous delivery.

The document describes the evolution of Facebook's DHCP infrastructure. It discusses how Facebook moved from a traditional DHCP architecture with dedicated hardware load balancers to a stateless architecture using the open source DHCP server KEA. With KEA, Facebook is able to distribute DHCP configuration dynamically from an inventory system and extend KEA's functionality through a hook API to integrate DHCP with other internal systems. This improved architecture provides better reliability, scalability, and instrumentation.

Overview of HBase cluster replication feature, covering implementation details as well as monitoring tools and tips for troubleshooting and support of Replication deployments.

The document discusses network architectures in OpenStack. It provides diagrams to illustrate the networking components including compute nodes, virtual machines, linux bridges, agents, and routers. MPLS is introduced as a solution to address issues with tenant network separation and performance challenges with other approaches like VxLAN. MPLS uses label switching to encapsulate and forward packets instead of relying on IP routing and overlays, improving east-west traffic performance between tenants.

This webinar will highlight the differences between the old ISC DHCP and new Kea DHCP (database support, dynamic reconfiguration, performance wins, scripting hooks) and will showcase the Men & Mice Suite as a graphical front-end to both ISC DHCP and Kea to ease the migration.

Using the Edge server solution you can streamline how replication is set up and designed within your Perforce environment. Key configurables, options and topologies for replication in Perforce will be shown, allowing you to live on the edge and get the best performance and use out of our improved replication solutions.

This document discusses online migration from an existing MySQL master-slave setup to a Galera cluster. It outlines the steps to enable binary logging on the slave, dump the schema and data, load this into the first Galera node to initialize replication, and transition reads to the Galera cluster while writes continue on the master initially at 90% before being cut over fully to the cluster. Operational checklists, backup procedures, and disaster recovery options for the new Galera cluster configuration are also reviewed.

Happy to share the presentation that I gave to my staff. This presentation covers configuration of Keepalived and HAProxy.

The document discusses setting up a Perforce forwarding replica, which is a readable cache of versioned files and metadata that forwards write commands to a central server. It describes creating a replica server configuration, replicating metadata and files from the master server to the replica, configuring the replica to forward writes to the master, and monitoring the replication process.