GCE NFS HA
0 likes863 views
This document discusses testing network load balancing with NFS file shares. It describes setting up two NFS servers behind a load balancer with a main and backup pool. When switching the load balancer from the main to backup pool, there is a latency of 30-60 seconds before clients are able to access files from the new server. While load balancing works, rapidly switching servers could cause client crashes. Alternatives like using Google Cloud Storage are suggested to avoid these issues.
1 of 13
Download to read offline
![Prepare client - nfs-client
● nfs-client
○ rpcinfo -p [remote address]
○ mount -t nfs [load balancer ip]:/data /mnt](https://image.slidesharecdn.com/gce-nfsloadbalancer-150209012317-conversion-gate01/85/GCE-NFS-HA-9-320.jpg)
![Continue read file test
while [ true ] ;
do
echo `date` - `cat /mnt/1234` ;
sleep 3;
done](https://image.slidesharecdn.com/gce-nfsloadbalancer-150209012317-conversion-gate01/85/GCE-NFS-HA-10-320.jpg)
Ad
Recommended
testing-nfs
testing-nfsguest4e525f This document outlines the steps to configure a highly available NFS server using DRBD and heartbeat on Ubuntu. Key steps include:
1. Installing DRBD, heartbeat and configuring the /etc/drbd.conf and heartbeat configuration files on both NFS servers so they are identical.
2. Making the data partition consistent between servers using drbdadm commands.
3. Installing and configuring heartbeat to monitor services and fail over the virtual IP address when either NFS server fails.
4. Testing the configuration by stopping heartbeat on each server to trigger a failover and verifying services move to the other server.
bup backup system (2011-04)
bup backup system (2011-04)apenwarr bup is a git-based backup system that provides fast, efficient, and scalable backups. It can backup entire filesystems over 1TB in size, including large virtual machine disk images over 100GB, with millions of files. It uses sub-file incrementals and deduplication to backup data in time proportional to the changed data size. Backups can be directly incremented to remote computers without a local copy.
Annexure bsc db
Annexure bsc dbbibhucharan13 This document provides steps for backing up a BSC database registered in an OMC. The steps include ensuring the BSC CP is reachable from the OMC, installing sshpass, changing file permissions on the Copy-Db-Data script, running the script, and verifying that the BSC DB data is created in the same path with the name including the active BSC CP IP address.
15 map reduce on azure
15 map reduce on azurePatrick Bury This document provides steps for running MapReduce jobs on an Azure Hadoop cluster. It details how to connect to the cluster using SSH, copy data into HDFS, submit MapReduce jobs using Hadoop streaming, and view the output. The goals are to demonstrate running MapReduce both with and without Hadoop and show how to set up and execute jobs on the Azure Hadoop instance.
zmq.rs - A brief history of concurrency in Rust
zmq.rs - A brief history of concurrency in RustFantix King 王川 This document summarizes the history of concurrency approaches used in the Rust zmq.rs library. It started with a unified 1:1 threading model but later switched to using M:N threading to allow more flexibility. It discusses green threads, native threads, the libgreen and green-rs crates, and how the project will move to using the mio crate for asynchronous I/O instead of libgreen. The goal is to rewrite zmq.rs to follow the C++ ZeroMQ design of using a few worker threads each with an event loop and manually mapping sockets to workers.
Script for the geomeetup presentation
Script for the geomeetup presentationSteven Pousty 1. The document provides instructions for setting up applications on OpenShift including creating domains, applications, adding cartridges for databases like Postgresql and MongoDB, and loading spatial data.
2. Steps are outlined for setting up a Java application called GeoServer with Postgresql and spatial data, and a Python application called Parks using MongoDB to store spatial JSON data.
3. Finally it describes deploying a modified GeoServer WAR file on OpenShift to serve spatial layers from the Postgresql data.
Backup, Restore, and Disaster Recovery
Backup, Restore, and Disaster RecoveryMongoDB The document discusses various backup, restore, and disaster recovery strategies for MongoDB databases. It outlines options for backing up data using mongodump, copying database files, or taking filesystem snapshots. For restoring, it recommends using mongorestore which can replay oplog entries for point-in-time recovery. It also stresses the importance of testing restores. For disaster recovery, it suggests using replica sets for redundancy across multiple data centers and regions to avoid single points of failure.
37562259 top-consuming-process
37562259 top-consuming-processskumner This document provides various SQL queries and UNIX commands that can be used to monitor and troubleshoot Oracle databases and the underlying UNIX environment. Some examples include:
1) A SQL query to find the SQL statement being executed by a specific OS process ID.
2) UNIX commands like ps and prstat to identify the top CPU consuming processes.
3) SQL queries to get session details like username and status for a specific OS process ID.
4) UNIX commands to locate Oracle files, find disk usage, schedule cron jobs, and more.
5) A link provided to a website with additional UNIX commands for database administrators.
Practical Glusto Example
Practical Glusto ExampleGluster.org Glusto is a framework for developing distributed system tests using Python. It combines commonly used tools like SSH, REST, and unit test frameworks into a single interface. Tests can be written using standard unittest or pytest formats and run from the command line. Glusto provides features like remote access, configuration handling, and test discovery/execution across multiple nodes defined in a YAML configuration file. The document provides instructions on installing Glusto and glustolibs-gluster, writing tests with Glusto features, and running tests via the Glusto CLI.
Bsdtw17: mariusz zaborski: case studies of sandboxing base system with capsicum
Bsdtw17: mariusz zaborski: case studies of sandboxing base system with capsicumScott Tsai This document discusses the Capsicum capability model and its use in sandboxing systems in FreeBSD. Capsicum allows tight sandboxing by limiting access when a process enters capability mode using cap_enter(). It describes debugging capabilities like ktrace and enotcap. It also introduces Casper, which provides additional capabilities through delegation before entering capability mode. Casper allows easier process separation by creating services run with user privileges that processes can then securely access through APIs. The document outlines several system services implemented through Casper and future work integrating it more fully with libc and sandboxing additional system services.
Hackerspace PostgreSQL Atolyesi - 3
Hackerspace PostgreSQL Atolyesi - 3Erkin Çakar The document agenda includes topics on PostgreSQL WAL concepts, streaming replication, point-in-time recovery (PITR), connection pooling with PgBouncer, backups and restores, and PostgreSQL internal tables. Configuration details are provided for setting up streaming replication between a master and slave node, and using PgBouncer for connection pooling. Backup and restore commands using pg_dump and pg_basebackup are also listed.
Non-DIY* Logging
Non-DIY* LoggingESUG Syslog is a widely used protocol for system logging that uses UDP sockets to pass 1024-octet log messages. The document discusses the syslog protocol, including the key components of senders, receivers, and relays. It then provides examples of using a Smalltalk syslog library called OskSyslog to send, receive, and relay syslog messages.
How to manage stateful applications in Kubernetes
How to manage stateful applications in KubernetesFlorian Woerner Managing stateless applications with Kubernetes is easy, but it becomes complex when information needs to persist in time, like for example for databases.
During this talk, I will go through the state of the Kubernetes storage ecosystem and make a demo to demonstrate how to manage persistent volume in Kubernetes.
Comets notes
Comets notesIlija Dukovski This document provides instructions for installing and running COMETS, an open-source software for agent-based modeling of microbial communities. It describes downloading and installing COMETS on Windows and Linux systems, editing configuration files, running simulations from the command line or on clusters, and options for logging and visualization of results.
LSA2 - 02 Control Groups
LSA2 - 02 Control GroupsMarian Marinov This document summarizes Linux control groups (cgroups) and their capabilities for limiting and accounting for CPU, memory, block I/O, networking, and freezing processes. It describes the general cgroup structure and available controllers for CPU, CPU accounting, CPU scheduling, memory limits and accounting, block I/O statistics and limiting, network classification and prioritization, freezing processes, and checkpoint/restore with CRIU. Examples are given for configuring CPU and memory limits on cgroups.
Strategies for Backing Up MongoDB
Strategies for Backing Up MongoDBMongoDB For the first time this year, 10gen will be offering a track completely dedicated to Operations at MongoSV, 10gen's annual MongoDB user conference on December 4. Learn more at MongoSV.com
Come learn about the different ways to back up your single servers, replica sets, and sharded clusters
Exec Sp
Exec Spluckydragon This SQL script first creates a backup device called FullBackupDevice pointing to the F:\Full.bak file, then backs up the QLVT database to the F:\bk.bak file using that device, and finally restores the QLVT database from the F:\bk.bak file. It also queries the sysprocesses and sysdatabases tables to find the spid of processes connected to the QLVT database and kills the process with spid 52.
Note
NotePosoffaith1 The document provides instructions for backing up files from one directory to another using the robocopy command line tool while logging results. It clears the screen, prompts the user to continue, sets a time stamp, removes extra files from the source, mirrors file copies between directories, pings the computer, and prints that backup is complete. A final note suggests adding more directories by following this format and using Boolean expressions.
Some Tricks in Using Terminal - KienDT
Some Tricks in Using Terminal - KienDTFramgia Vietnam This is some tricks in using terminal that improve your speed and give you more convenient with command line
Syslog-ng Performance 
Syslog-ng Performance Chakrit Phain The document summarizes a test of syslog-ng performance on a virtual machine with various event sizes and payloads. It recorded the maximum events per second without exceeding 5% packet loss for each size. Larger event sizes resulted in higher throughput until 1024 bytes, after which packet loss increased significantly. The disk write speed generally matched the incoming data rate.
Linux kernel memory allocators
Linux kernel memory allocatorsHao-Ran Liu Introduction to kernel memory allocators: buddy system, slab, vmalloc(), etc. and a simple comparison
OpenShift.io on Gluster
OpenShift.io on Glustermountpoint.io This document summarizes the use of Gluster storage to provide persistent volumes for OpenShift.io. It describes how the initial EBS solution had limitations around volume attach limits and startup delays. A Gluster-based approach using a "supervol" volume with subdirectories for each PV addressed these issues and allowed overcommitting storage capacity. The solution evolved over time through configuration changes and lessons learned around performance and stability. Future plans include migrating Gluster storage into the OpenShift cluster for better data management and storage scalability.
Rubinius @ RubyAndRails2010
Rubinius @ RubyAndRails2010Dirkjan Bussink This document provides an overview of Rubinius, an implementation of the Ruby programming language that uses Just-In-Time (JIT) compilation. It discusses key aspects of Rubinius including its virtual machines, garbage collectors, bytecode compilers, core library, primitives systems, JIT compilers, and use of Rubyspec for testing. It also briefly describes the compacting generational garbage collector, inline caching, call counting, and debugging and profiling capabilities. The document encourages contributing to Rubinius and shares an example commit adding POSIX safety checks to the Process module.
final presentation edited final
final presentation edited finalBhanu Priya This document summarizes research done on securely deleting data from the cloud. It tests several Linux tools for deleting files including wipe, shred, srm, and rm. It evaluates how long each tool takes to delete different sized video, image, and text files. It also tests if the files can be recovered after deletion using photorec. Wipe and shred were able to securely delete all file types preventing recovery, while srm and rm allowed recovery of deleted text files. The document also examines tools for securely deleting memory (smem) and disk space (sfill).
Small, Simple, and Secure: Alpine Linux under the Microscope
Small, Simple, and Secure: Alpine Linux under the MicroscopeDocker, Inc. Alpine Linux is a distro that has become popular for Docker images. Why do we need another distro? Why does Alpine matter? How does it differ from other distros?
In this talk, we'll answer all these questions – and a few more.
Is It Faster to Go with Redpanda Transactions than Without Them?!
Is It Faster to Go with Redpanda Transactions than Without Them?!ScyllaDB P99 CONF
We all know that distributed transactions are expensive, have higher latency and lower throughput compared to a non-transactional workload. It's just common sense that when we ask a system to maintain transactional guarantees it should spend more time on coordination and thus have poorer performance, right?
Well, it's true that we can't get rid of this overhead. But at the same time each transaction defines a unit of work, so the system stops dealing with individual requests and becomes more aware about the whole workload. Basically it gets more information and may use it for new kinds of optimizations which compensate for the overhead.
In this talk I'll describe how Redpanda optimized the Kafka API and pushed throughput of distributed transactions up to eight times beyond an equivalent non-transactional workload while preserving sane latency.
Data Consistency Workshop — Oslo Cassandra Users Oct 8, 2013
Data Consistency Workshop — Oslo Cassandra Users Oct 8, 2013DataStax Academy The Oslo Cassandra Users explored what is difficult to experience on a single-node Cassandra cluster, namely data consistency issues. That's why they got together to form a cluster of Cassandra nodes.
LSA2 - 01 Virtualization with KVM
LSA2 - 01 Virtualization with KVMMarian Marinov Virtualization allows hardware to be virtualized so that multiple operating systems can run on a single physical machine. It works by inserting a virtualization layer that provides a virtual operating system for each guest operating system. This document discusses full virtualization, para virtualization, and partial virtualization approaches. It also covers configuring KVM and libvirt for Linux virtualization and managing VMs, networks, storage, and migration.
Flex pod driven by Openstack
Flex pod driven by OpenstackMarton Kiss FlexPod is a converged infrastructure solution that combines Cisco UCS servers and fabric interconnects with NetApp storage systems. It supports the provisioning of block (iSCSI) and file (NFS) storage volumes for use with an OpenStack cloud deployment using NetApp drivers. The document provides steps for creating volume types, provisioning NFS and iSCSI volumes from a NetApp storage system, and attaching the volumes to OpenStack instances to be used as block devices or mounted filesystems.
LinuxKit Swarm Nodes
LinuxKit Swarm NodesMoby Project LinuxKit, a toolkit for building custom minimal, immutable Linux distributions.
Secure defaults without compromising usability
Everything is replaceable and customisable
Immutable infrastructure applied to building Linux distributions
Completely stateless, but persistent storage can be attached
Easy tooling, with easy iteration
Built with containers, for running containers
Designed for building and running clustered applications, including but not limited to container orchestration such as Docker or Kubernetes
Designed from the experience of building Docker Editions, but redesigned as a general-purpose toolkit
Designed to be managed by external tooling, such as Infrakit or similar tools
Includes a set of longer-term collaborative projects in various stages of development to innovate on kernel and userspace changes, particularly around security
Ad
More Related Content
What's hot (20)
Practical Glusto Example
Practical Glusto ExampleGluster.org Glusto is a framework for developing distributed system tests using Python. It combines commonly used tools like SSH, REST, and unit test frameworks into a single interface. Tests can be written using standard unittest or pytest formats and run from the command line. Glusto provides features like remote access, configuration handling, and test discovery/execution across multiple nodes defined in a YAML configuration file. The document provides instructions on installing Glusto and glustolibs-gluster, writing tests with Glusto features, and running tests via the Glusto CLI.
Bsdtw17: mariusz zaborski: case studies of sandboxing base system with capsicum
Bsdtw17: mariusz zaborski: case studies of sandboxing base system with capsicumScott Tsai This document discusses the Capsicum capability model and its use in sandboxing systems in FreeBSD. Capsicum allows tight sandboxing by limiting access when a process enters capability mode using cap_enter(). It describes debugging capabilities like ktrace and enotcap. It also introduces Casper, which provides additional capabilities through delegation before entering capability mode. Casper allows easier process separation by creating services run with user privileges that processes can then securely access through APIs. The document outlines several system services implemented through Casper and future work integrating it more fully with libc and sandboxing additional system services.
Hackerspace PostgreSQL Atolyesi - 3
Hackerspace PostgreSQL Atolyesi - 3Erkin Çakar The document agenda includes topics on PostgreSQL WAL concepts, streaming replication, point-in-time recovery (PITR), connection pooling with PgBouncer, backups and restores, and PostgreSQL internal tables. Configuration details are provided for setting up streaming replication between a master and slave node, and using PgBouncer for connection pooling. Backup and restore commands using pg_dump and pg_basebackup are also listed.
Non-DIY* Logging
Non-DIY* LoggingESUG Syslog is a widely used protocol for system logging that uses UDP sockets to pass 1024-octet log messages. The document discusses the syslog protocol, including the key components of senders, receivers, and relays. It then provides examples of using a Smalltalk syslog library called OskSyslog to send, receive, and relay syslog messages.
How to manage stateful applications in Kubernetes
How to manage stateful applications in KubernetesFlorian Woerner Managing stateless applications with Kubernetes is easy, but it becomes complex when information needs to persist in time, like for example for databases.
During this talk, I will go through the state of the Kubernetes storage ecosystem and make a demo to demonstrate how to manage persistent volume in Kubernetes.
Comets notes
Comets notesIlija Dukovski This document provides instructions for installing and running COMETS, an open-source software for agent-based modeling of microbial communities. It describes downloading and installing COMETS on Windows and Linux systems, editing configuration files, running simulations from the command line or on clusters, and options for logging and visualization of results.
LSA2 - 02 Control Groups
LSA2 - 02 Control GroupsMarian Marinov This document summarizes Linux control groups (cgroups) and their capabilities for limiting and accounting for CPU, memory, block I/O, networking, and freezing processes. It describes the general cgroup structure and available controllers for CPU, CPU accounting, CPU scheduling, memory limits and accounting, block I/O statistics and limiting, network classification and prioritization, freezing processes, and checkpoint/restore with CRIU. Examples are given for configuring CPU and memory limits on cgroups.
Strategies for Backing Up MongoDB
Strategies for Backing Up MongoDBMongoDB For the first time this year, 10gen will be offering a track completely dedicated to Operations at MongoSV, 10gen's annual MongoDB user conference on December 4. Learn more at MongoSV.com
Come learn about the different ways to back up your single servers, replica sets, and sharded clusters
Exec Sp
Exec Spluckydragon This SQL script first creates a backup device called FullBackupDevice pointing to the F:\Full.bak file, then backs up the QLVT database to the F:\bk.bak file using that device, and finally restores the QLVT database from the F:\bk.bak file. It also queries the sysprocesses and sysdatabases tables to find the spid of processes connected to the QLVT database and kills the process with spid 52.
Note
NotePosoffaith1 The document provides instructions for backing up files from one directory to another using the robocopy command line tool while logging results. It clears the screen, prompts the user to continue, sets a time stamp, removes extra files from the source, mirrors file copies between directories, pings the computer, and prints that backup is complete. A final note suggests adding more directories by following this format and using Boolean expressions.
Some Tricks in Using Terminal - KienDT
Some Tricks in Using Terminal - KienDTFramgia Vietnam This is some tricks in using terminal that improve your speed and give you more convenient with command line
Syslog-ng Performance
Syslog-ng Performance Chakrit Phain The document summarizes a test of syslog-ng performance on a virtual machine with various event sizes and payloads. It recorded the maximum events per second without exceeding 5% packet loss for each size. Larger event sizes resulted in higher throughput until 1024 bytes, after which packet loss increased significantly. The disk write speed generally matched the incoming data rate.
Linux kernel memory allocators
Linux kernel memory allocatorsHao-Ran Liu Introduction to kernel memory allocators: buddy system, slab, vmalloc(), etc. and a simple comparison
OpenShift.io on Gluster
OpenShift.io on Glustermountpoint.io This document summarizes the use of Gluster storage to provide persistent volumes for OpenShift.io. It describes how the initial EBS solution had limitations around volume attach limits and startup delays. A Gluster-based approach using a "supervol" volume with subdirectories for each PV addressed these issues and allowed overcommitting storage capacity. The solution evolved over time through configuration changes and lessons learned around performance and stability. Future plans include migrating Gluster storage into the OpenShift cluster for better data management and storage scalability.
Rubinius @ RubyAndRails2010
Rubinius @ RubyAndRails2010Dirkjan Bussink This document provides an overview of Rubinius, an implementation of the Ruby programming language that uses Just-In-Time (JIT) compilation. It discusses key aspects of Rubinius including its virtual machines, garbage collectors, bytecode compilers, core library, primitives systems, JIT compilers, and use of Rubyspec for testing. It also briefly describes the compacting generational garbage collector, inline caching, call counting, and debugging and profiling capabilities. The document encourages contributing to Rubinius and shares an example commit adding POSIX safety checks to the Process module.
final presentation edited final
final presentation edited finalBhanu Priya This document summarizes research done on securely deleting data from the cloud. It tests several Linux tools for deleting files including wipe, shred, srm, and rm. It evaluates how long each tool takes to delete different sized video, image, and text files. It also tests if the files can be recovered after deletion using photorec. Wipe and shred were able to securely delete all file types preventing recovery, while srm and rm allowed recovery of deleted text files. The document also examines tools for securely deleting memory (smem) and disk space (sfill).
Small, Simple, and Secure: Alpine Linux under the Microscope
Small, Simple, and Secure: Alpine Linux under the MicroscopeDocker, Inc. Alpine Linux is a distro that has become popular for Docker images. Why do we need another distro? Why does Alpine matter? How does it differ from other distros?
In this talk, we'll answer all these questions – and a few more.
Is It Faster to Go with Redpanda Transactions than Without Them?!
Is It Faster to Go with Redpanda Transactions than Without Them?!ScyllaDB P99 CONF
We all know that distributed transactions are expensive, have higher latency and lower throughput compared to a non-transactional workload. It's just common sense that when we ask a system to maintain transactional guarantees it should spend more time on coordination and thus have poorer performance, right?
Well, it's true that we can't get rid of this overhead. But at the same time each transaction defines a unit of work, so the system stops dealing with individual requests and becomes more aware about the whole workload. Basically it gets more information and may use it for new kinds of optimizations which compensate for the overhead.
In this talk I'll describe how Redpanda optimized the Kafka API and pushed throughput of distributed transactions up to eight times beyond an equivalent non-transactional workload while preserving sane latency.
Data Consistency Workshop — Oslo Cassandra Users Oct 8, 2013
Data Consistency Workshop — Oslo Cassandra Users Oct 8, 2013DataStax Academy The Oslo Cassandra Users explored what is difficult to experience on a single-node Cassandra cluster, namely data consistency issues. That's why they got together to form a cluster of Cassandra nodes.
LSA2 - 01 Virtualization with KVM
LSA2 - 01 Virtualization with KVMMarian Marinov Virtualization allows hardware to be virtualized so that multiple operating systems can run on a single physical machine. It works by inserting a virtualization layer that provides a virtual operating system for each guest operating system. This document discusses full virtualization, para virtualization, and partial virtualization approaches. It also covers configuring KVM and libvirt for Linux virtualization and managing VMs, networks, storage, and migration.
Similar to GCE NFS HA (20)
Flex pod driven by Openstack
Flex pod driven by OpenstackMarton Kiss FlexPod is a converged infrastructure solution that combines Cisco UCS servers and fabric interconnects with NetApp storage systems. It supports the provisioning of block (iSCSI) and file (NFS) storage volumes for use with an OpenStack cloud deployment using NetApp drivers. The document provides steps for creating volume types, provisioning NFS and iSCSI volumes from a NetApp storage system, and attaching the volumes to OpenStack instances to be used as block devices or mounted filesystems.
LinuxKit Swarm Nodes
LinuxKit Swarm NodesMoby Project LinuxKit, a toolkit for building custom minimal, immutable Linux distributions.
Secure defaults without compromising usability
Everything is replaceable and customisable
Immutable infrastructure applied to building Linux distributions
Completely stateless, but persistent storage can be attached
Easy tooling, with easy iteration
Built with containers, for running containers
Designed for building and running clustered applications, including but not limited to container orchestration such as Docker or Kubernetes
Designed from the experience of building Docker Editions, but redesigned as a general-purpose toolkit
Designed to be managed by external tooling, such as Infrakit or similar tools
Includes a set of longer-term collaborative projects in various stages of development to innovate on kernel and userspace changes, particularly around security
HP-UX 11iv3 Ignite-UX with NFSv4 and SSH Tunnel by Dusan Baljevic
HP-UX 11iv3 Ignite-UX with NFSv4 and SSH Tunnel by Dusan BaljevicCircling Cycle This document describes how to set up Ignite-UX backups between an Ignite-UX server and client running HP-UX 11iv3 by using NFSv4 with SSH tunneling. Key steps include configuring NFSv4 and SSH on the server and client, mounting the necessary NFS shares on the client, and running make_net_recovery to perform backups to the local client rather than a remote system. Some performance testing showed backups of a 5.8GB system image took 58 minutes over a 100Mbps network using this approach.
Introduction to Diskless Remote Boot in Linux
Introduction to Diskless Remote Boot in LinuxJazz Yao-Tsung Wang 1. The document describes a diskless remote boot Linux (DRBL) cluster consisting of 4 compute nodes and 1 management node connected by a gigabit Ethernet switch.
2. The management node acts as the DRBL server, hosting the TFTP, NFS, DHCP, and authentication services to allow the compute nodes to boot via PXE and share files and configurations.
3. The process involves enabling PXE on the compute node BIOS, allowing them to boot over the network by requesting an IP from DHCP and downloading boot files from TFTP before mounting the NFS root file system where applications and configurations are deployed.
Ltsp talk
Ltsp talkKanchilug The Linux Terminal Server Project (LTSP) allows inexpensive thin client computers to connect to a server running Linux, distributing the server's processing power to multiple desktop clients over the network; it works by booting the thin clients from the server using PXE, NFS and NBD to access the server's filesystem and run applications remotely; the document provides information on installing, configuring and troubleshooting an LTSP server and thin clients.
Refining Linux
Refining LinuxJason Murray The document discusses optimizing Linux performance at various levels. It covers recompiling the kernel to optimize settings, monitoring CPU, memory, I/O, and network usage. Specific tools like vmstat, iostat, top, and htop are recommended. Optimizing includes adjusting settings like the I/O scheduler, disk cache policy, and TCP parameters. The kernel loads and decompresses to initialize essential subsystems before probing hardware and loading additional modules.
Optimizing Servers for High-Throughput and Low-Latency at Dropbox
Optimizing Servers for High-Throughput and Low-Latency at DropboxScyllaDB I'm going to discuss the efficiency/performance optimizations of different layers of the system. Starting from the lowest levels like hardware and drivers: these tunings can be applied to pretty much any high-load server. Then we’ll move to Linux kernel and its TCP/IP stack: these are the knobs you want to try on any of your TCP-heavy boxes. Finally, we’ll discuss library and application-level tunings, which are mostly applicable to HTTP servers in general and nginx/envoy specifically.
For each potential area of optimization I’ll try to give some background on latency/throughput tradeoffs (if any), monitoring guidelines, and, finally, suggest tunings for different workloads.
Also, I'll cover more theoretical approaches to performance analysis and the newly developed tooling like `bpftrace` and new `perf` features.
Deploying pNFS over Distributed File Storage w/ Jiffin Tony Thottan and Niels...
Deploying pNFS over Distributed File Storage w/ Jiffin Tony Thottan and Niels...Gluster.org Deploying pNFS over Distributed File Storage w/ Jiffin Tony Thottan and Niels De Vos at LinuxCon Europe Berlin 2016
Reflink
ReflinkThe Linux Foundation The document discusses REFLINK operations in OCFS2 which allow for space-efficient snapshots, clones, and copies of virtual machine images. It describes how OCFS2 implements reflinking by using reference counts for extents and copy-on-write when modifying reflinked files to avoid duplicating data. Examples show how reflinking images takes little time and space while allowing individual files to be modified without using more space. The status update notes that reflinking has been merged into recent Linux kernels and will be included in upcoming Oracle VM and OCFS2 releases.
kubernetes baremetal installation and practice
kubernetes baremetal installation and practicewonyong hwang Virtual Box 에서 Ubuntu 22.04 기반으로 1 Control plane과 1 Worker 노드로 구성하는 Kubertetes 실습 교안입니다. 기초 부터 Ingress까지 다룹니다.
This is a Kubertets hands-on teaching material that consists of 1 Control plane and 1 Worker node based on Ubuntu 22.04 in Virtual Box. It covers from basics to Ingress.
OSDC 2016 - Interesting things you can do with ZFS by Allan Jude&Benedict Reu...
OSDC 2016 - Interesting things you can do with ZFS by Allan Jude&Benedict Reu...NETWAYS ZFS is the next generation filesystem originally developed at Sun Microsystems. Available under the CDDL, it uniquely combines volume manager and filesystem into a powerful storage management solution for Unix systems. Regardless of big or small storage requirements. ZFS offers features, for free, that are usually found only in costly enterprise storage solutions. This talk will introduce ZFS and give an overview of its features like snapshots and rollback, compression, deduplication as well as replication. We will demonstrate how these features can make a difference in the datacenter, giving administrators the power and flexibility to adapt to changing storage requirements.
Real world examples of ZFS being used in production for video streaming, virtualization, archival, and research are shown to illustrate the concepts. The talk is intended for people considering ZFS for their data storage needs and those who are interested in the features ZFS provides.
Linux network file system (nfs)
Linux network file system (nfs)Raghu nath NFS allows remote hosts to mount file systems over a network as if they were local. It uses TCP and RPC processes to authenticate clients and grant access to exported file shares based on configuration in /etc/exports. Administrators can start and stop the NFS server and related services using the service command to export resources from centralized servers.
Unix 6 en
Unix 6 enSimonas Kareiva This document provides an overview of UNIX file systems and disks. It discusses the structure of hard disks and different file system types including FAT, NTFS, UFS, EXT2/3, and ReiserFS. It also covers disk devices in Linux, FreeBSD and Solaris. Additional topics include creating and mounting file systems, the /etc/fstab file, the NFS network file sharing protocol, and different RAID configurations including RAID 0, 1, 5 and the use of parity disks.
Symfony e grandi numeri: si può fare!
Symfony e grandi numeri: si può fare!Daniel Londero This document discusses how Calciomercato.com scaled their Symfony application to handle millions of users and page views per month. It describes how they moved to Symfony 1.4 in 2010 and deployed revisions to scale the site. It also details techniques used to scale Symfony applications horizontally and vertically, such as caching, load balancing, master-slave databases, and monitoring tools.
Designing Tracing Tools
Designing Tracing ToolsSysdig You have a system with an advanced programmatic tracer: do you know what to do with it? Brendan has used numerous tracers in production environments, and has published hundreds of tracing-based tools. In this talk he will share tips and know-how for creating CLI tracing tools and GUI visualizations, to solve real problems effectively. Programmatic tracing is an amazing superpower, and this talk will show you how to wield it!
Network File System (NFS)
Network File System (NFS)abdullah roomi NFS allows files to be shared over a network between systems. To set up NFS, install the NFS server on the host system and NFS client on other systems. Configure NFS exports on the host to share directories, and create mount points on clients to access the shared directories remotely as if they were local. Access and ownership are tested by writing files to the shared directories. The shares can be automatically mounted on clients at boot by adding them to /etc/fstab.
PXE Network Booting The Raspberry Pi
PXE Network Booting The Raspberry Piserjts Guide: By using PXE and Linux you can boot your Raspberry Pi without an sd card.
By www.hubshuffle.com
100Gbps OpenStack For Providing High-Performance NFV
100Gbps OpenStack For Providing High-Performance NFVNTT Communications Technology Development Slides at OpenStack Summit 2017 Sydney
Session Info and Video: https://www.openstack.org/videos/sydney-2017/100gbps-openstack-for-providing-high-performance-nfv
Basic Linux day 6
Basic Linux day 6Saikumar Daram The document provides information on various tools used for backups, compression, decompression, and network troubleshooting in Linux. It discusses gzip, bzip2, zip, and tar for compressing and archiving files. It also covers scp for securely copying files over SSH, cURL and wget for downloading files from the web, and network troubleshooting tools like ping, ifconfig, netstat, and telnet.
GlusterFS Update and OpenStack Integration
GlusterFS Update and OpenStack IntegrationEtsuji Nakai GlusterFS is an open source distributed file system that aggregates storage from multiple servers into a single logical volume. It uses a distributed hash table architecture to distribute files across storage nodes. The document discusses GlusterFS integration with OpenStack, including using GlusterFS as the backend storage for Glance images, Cinder volumes, and Nova instance disks. It provides an overview of the libgfapi application programming interface that allows direct access to GlusterFS volumes without using FUSE.
Ad
More from Simon Su (20)
Kubernetes Basic Operation
Kubernetes Basic OperationSimon Su 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.
JSDC 2017 - 使用google cloud 從雲到端，動手刻個IoT
JSDC 2017 - 使用google cloud 從雲到端，動手刻個IoTSimon Su Simon Su presented on using Google Cloud Platform for IoT applications. The document discussed key concepts in IoT like connectivity, devices, sensors and cloud infrastructure. It provided examples of using various Google Cloud services for IoT like Cloud PubSub for messaging, BigQuery for data storage, Cloud Functions for serverless computing, Cloud Vision API for image recognition and Cloud IoT Core for connecting devices. Code samples were given to illustrate how to use these services for common IoT tasks.
GCPUG.TW meetup #28 - GKE上運作您的k8s服務
GCPUG.TW meetup #28 - GKE上運作您的k8s服務Simon Su 本講義分享於GCPUG.TW meetup上，介紹大家使用GKE上的container service來快速完成Continue Integration
Google Cloud Platform Special Training
Google Cloud Platform Special TrainingSimon Su This document provides an overview of various Google Cloud Platform services including Compute Engine, Networking, Load Balancing, Cloud Launcher, Cloud Storage, Cloud SQL, Cloud Monitoring, Cloud DNS, and Deployment Manager. It includes descriptions of the basic concepts and functionality for each service. It also outlines several hands-on labs demonstrating how to use specific GCP services like backing up instances to Cloud Storage snapshots, exporting Cloud SQL databases to Cloud Storage, enabling Cloud Logging, and deploying a VM instance using Deployment Manager.
GCE Windows Serial Console Usage Guide
GCE Windows Serial Console Usage GuideSimon Su This document provides instructions for enabling and using the serial console on a Windows machine. It outlines connecting to the VM from port 3, using "?" to check available commands, running "cmd" to start a new command session, and "ch -sn [session name]" to switch sessions. Finally, it notes you can reset the password using "Create or reset Windows password" and login to access the Windows command prompt for troubleshooting.
Try Cloud Spanner
Try Cloud SpannerSimon Su Cloud Spanner is a fully managed relational database that provides global scale, SQL support, and strong consistency across multiple regions. It is horizontally scalable, provides automatic replication and maintenance, and supports transactions with ACID semantics. Spanner offers high availability, enterprise-grade security with encryption and IAM controls, and supports multiple programming languages through client libraries. Performance scales based on the number of nodes provisioned, with a minimum of 3 nodes recommended for production workloads.
Google Cloud Computing compares GCE, GAE and GKE
Google Cloud Computing compares GCE, GAE and GKESimon Su Google Cloud Computing compares GCE, GKE and GAE. GCE provides raw compute, storage and networking resources and requires more management overhead. GAE focuses on application logic and requires less management. GKE offers managed Kubernetes infrastructure and services. Each option has different strengths for workloads like microservices, containerized services, or large-scale applications requiring quick scaling. Monitoring and management features like Stackdriver are also compared.
JCConf 2016 - Google Dataflow 小試
JCConf 2016 - Google Dataflow 小試Simon Su The document provides information about Simon Su and his expertise in Google Dataflow. It includes Simon's contact information and links to his online profiles. It then discusses Simon's areas of specialization including data scientist, data engineer, and frontend engineer. The document proceeds to provide information about preparing for a Google Dataflow workshop, including documents and labs to review. It also discusses Google Cloud services for data processing and analysis like Dataflow, BigQuery, Pub/Sub, and Dataproc. Finally, it outlines the agenda for the workshop, which will include hands-on labs to deploy users' first Dataflow project and create a streaming Dataflow model.
JCConf 2016 - Dataflow Workshop Labs
JCConf 2016 - Dataflow Workshop LabsSimon Su This document outlines labs for Google Cloud Dataflow workshops. Lab 1 covers setting up the Dataflow environment and building a first project. Lab 2 focuses on deploying the first project to Google Cloud Platform. Lab 3 builds streaming Dataflow by creating PubSub topics/subscriptions and deploying streaming samples that read from PubSub and write to BigQuery.
GCPUG meetup 201610 - Dataflow Introduction
GCPUG meetup 201610 - Dataflow IntroductionSimon Su This document provides information about Simon Su and Sunny Hu, who will be presenting on Google's BigData solution. It includes their contact information and backgrounds. Simon's areas of focus include Node.js and blogging. Sunny's skills include project management, system analysis, and Java. The document also advertises a Facebook and Google+ group for the Google Cloud Platform User Group Taiwan, where people can share experiences using GCP. It poses trivia questions about Google's infrastructure and provides timelines of Google's BigData innovations.
Brocade - Stingray Application Firewall
Brocade - Stingray Application FirewallSimon Su This is a short class for setup stingray and WAF for your application, let you can easily protect your application in safe.
使用 Raspberry pi + fluentd + gcp cloud logging, big query 做iot 資料搜集與分析
使用 Raspberry pi + fluentd + gcp cloud logging, big query 做iot 資料搜集與分析Simon Su This is a short training for introduce Pi to use fluentd to collect data and use Google Cloud Logging and BigQuery as backend and then use Apps Script and Google Sheet as presentation layer.
Docker in Action
Docker in ActionSimon Su This document provides an overview of Docker concepts and commands for building, running, and managing Docker containers. It demonstrates how to run a simple Node.js application as a Docker container using commands like docker run, docker build, docker ps, and docker-compose. It also shows how to link containers, mount folders, push images to Docker Hub, and remove containers.
Google I/O 2016 Recap - Google Cloud Platform News Update
Google I/O 2016 Recap - Google Cloud Platform News UpdateSimon Su This is a presentation of Google I/O 2016 recap in Taipei. Here is some update of the new features I find, let's keep watch Google's evolution~
IThome DevOps Summit - IoT、docker與DevOps
IThome DevOps Summit - IoT、docker與DevOpsSimon Su Introduction of LinkerIoT and the design concept for developer and maker(ops) to co-work and the main composites.
Google Cloud Platform Introduction - 2016Q3
Google Cloud Platform Introduction - 2016Q3Simon Su The document summarizes news and services from Google Cloud Platform, including free GCE machine types, preemptible VMs, IAM project management, and new APIs for Machine Learning, Vision, and Speech. It also provides an overview of various GCP computing, storage, database and analytics services like Compute Engine, App Engine, Cloud SQL, Cloud Storage, BigQuery, and Dataflow. Join the Google Cloud Platform User Group Taiwan Facebook group for more information on GCP services and events.
Ad
Recently uploaded (20)
Cybersecurity Identity and Access Solutions using Azure AD
Cybersecurity Identity and Access Solutions using Azure ADVICTOR MAESTRE RAMIREZ Cybersecurity Identity and Access Solutions using Azure AD
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptx
Increasing Retail Store Efficiency How can Planograms Save Time and Money.pptxAnoop Ashok In today's fast-paced retail environment, efficiency is key. Every minute counts, and every penny matters. One tool that can significantly boost your store's efficiency is a well-executed planogram. These visual merchandising blueprints not only enhance store layouts but also save time and money in the process.
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep DiveScyllaDB Want to learn practical tips for designing systems that can scale efficiently without compromising speed?
Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
As you explore key principles of designing low-latency systems with Rust, you will learn how to:
- Create and compile a real-world app with Rust
- Connect the application to ScyllaDB (NoSQL data store)
- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Into The Box Conference Keynote Day 1 (ITB2025)
Into The Box Conference Keynote Day 1 (ITB2025)Ortus Solutions, Corp This is the keynote of the Into the Box conference, highlighting the release of the BoxLang JVM language, its key enhancements, and its vision for the future.
Enhancing ICU Intelligence: How Our Functional Testing Enabled a Healthcare I...
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.
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungen
HCL Nomad Web – Best Practices und Verwaltung von Multiuser-Umgebungenpanagenda Webinar Recording: https://www.panagenda.com/webinars/hcl-nomad-web-best-practices-und-verwaltung-von-multiuser-umgebungen/
HCL Nomad Web wird als die nächste Generation des HCL Notes-Clients gefeiert und bietet zahlreiche Vorteile, wie die Beseitigung des Bedarfs an Paketierung, Verteilung und Installation. Nomad Web-Client-Updates werden “automatisch” im Hintergrund installiert, was den administrativen Aufwand im Vergleich zu traditionellen HCL Notes-Clients erheblich reduziert. Allerdings stellt die Fehlerbehebung in Nomad Web im Vergleich zum Notes-Client einzigartige Herausforderungen dar.
Begleiten Sie Christoph und Marc, während sie demonstrieren, wie der Fehlerbehebungsprozess in HCL Nomad Web vereinfacht werden kann, um eine reibungslose und effiziente Benutzererfahrung zu gewährleisten.
In diesem Webinar werden wir effektive Strategien zur Diagnose und Lösung häufiger Probleme in HCL Nomad Web untersuchen, einschließlich
- Zugriff auf die Konsole
- Auffinden und Interpretieren von Protokolldateien
- Zugriff auf den Datenordner im Cache des Browsers (unter Verwendung von OPFS)
- Verständnis der Unterschiede zwischen Einzel- und Mehrbenutzerszenarien
- Nutzung der Client Clocking-Funktion
Role of Data Annotation Services in AI-Powered Manufacturing
Role of Data Annotation Services in AI-Powered ManufacturingAndrew Leo From predictive maintenance to robotic automation, AI is driving the future of manufacturing. But without high-quality annotated data, even the smartest models fall short.
Discover how data annotation services are powering accuracy, safety, and efficiency in AI-driven manufacturing systems.
Precision in data labeling = Precision on the production floor.
Build Your Own Copilot & Agents For Devs
Build Your Own Copilot & Agents For DevsBrian McKeiver May 2nd, 2025 talk at StirTrek 2025 Conference.
What is Model Context Protocol(MCP) - The new technology for communication bw...
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.
How Can I use the AI Hype in my Business Context?
How Can I use the AI Hype in my Business Context?Daniel Lehner 𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
If you’re not sure, you’re not alone. This is a condensed version of the slides I presented at a Linkedin webinar for Tecnovy on 28.04.2025.
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...
Transcript: #StandardsGoals for 2025: Standards & certification roundup - Tec...BookNet Canada Book industry standards are evolving rapidly. In the first part of this session, we’ll share an overview of key developments from 2024 and the early months of 2025. Then, BookNet’s resident standards expert, Tom Richardson, and CEO, Lauren Stewart, have a forward-looking conversation about what’s next.
Link to recording, presentation slides, and accompanying resource: https://bnctechforum.ca/sessions/standardsgoals-for-2025-standards-certification-roundup/
Presented by BookNet Canada on May 6, 2025 with support from the Department of Canadian Heritage.
AI EngineHost Review: Revolutionary USA Datacenter-Based Hosting with NVIDIA ...
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.
Quantum Computing Quick Research Guide by Arthur Morgan
Quantum Computing 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.
Mobile App Development Company in Saudi Arabia
Mobile App Development Company in Saudi ArabiaSteve Jonas EmizenTech is a globally recognized software development company, proudly serving businesses since 2013. With over 11+ years of industry experience and a team of 200+ skilled professionals, we have successfully delivered 1200+ projects across various sectors. As a leading Mobile App Development Company In Saudi Arabia we offer end-to-end solutions for iOS, Android, and cross-platform applications. Our apps are known for their user-friendly interfaces, scalability, high performance, and strong security features. We tailor each mobile application to meet the unique needs of different industries, ensuring a seamless user experience. EmizenTech is committed to turning your vision into a powerful digital product that drives growth, innovation, and long-term success in the competitive mobile landscape of Saudi Arabia.
Rusty Waters: Elevating Lakehouses Beyond Spark
Rusty Waters: Elevating Lakehouses Beyond Sparkcarlyakerly1 Spark is a powerhouse for large datasets, but when it comes to smaller data workloads, its overhead can sometimes slow things down. What if you could achieve high performance and efficiency without the need for Spark?
At S&P Global Commodity Insights, having a complete view of global energy and commodities markets enables customers to make data-driven decisions with confidence and create long-term, sustainable value. 🌍
Explore delta-rs + CDC and how these open-source innovations power lightweight, high-performance data applications beyond Spark! 🚀
Linux Support for SMARC: How Toradex Empowers Embedded Developers
Linux Support for SMARC: How Toradex Empowers Embedded DevelopersToradex Toradex brings robust Linux support to SMARC (Smart Mobility Architecture), ensuring high performance and long-term reliability for embedded applications. Here’s how:
• Optimized Torizon OS & Yocto Support – Toradex provides Torizon OS, a Debian-based easy-to-use platform, and Yocto BSPs for customized Linux images on SMARC modules.
• Seamless Integration with i.MX 8M Plus and i.MX 95 – Toradex SMARC solutions leverage NXP’s i.MX 8 M Plus and i.MX 95 SoCs, delivering power efficiency and AI-ready performance.
• Secure and Reliable – With Secure Boot, over-the-air (OTA) updates, and LTS kernel support, Toradex ensures industrial-grade security and longevity.
• Containerized Workflows for AI & IoT – Support for Docker, ROS, and real-time Linux enables scalable AI, ML, and IoT applications.
• Strong Ecosystem & Developer Support – Toradex offers comprehensive documentation, developer tools, and dedicated support, accelerating time-to-market.
With Toradex’s Linux support for SMARC, developers get a scalable, secure, and high-performance solution for industrial, medical, and AI-driven applications.
Do you have a specific project or application in mind where you're considering SMARC? We can help with Free Compatibility Check and help you with quick time-to-market
For more information: https://www.toradex.com/computer-on-modules/smarc-arm-family
Technology Trends in 2025: AI and Big Data Analytics
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.
Andrew Marnell: Transforming Business Strategy Through Data-Driven Insights
Andrew Marnell: Transforming Business Strategy Through Data-Driven InsightsAndrew Marnell With expertise in data architecture, performance tracking, and revenue forecasting, Andrew Marnell plays a vital role in aligning business strategies with data insights. Andrew Marnell’s ability to lead cross-functional teams ensures businesses achieve sustainable growth and operational excellence.
What is Model Context Protocol(MCP) - The new technology for communication bw...
What is Model Context Protocol(MCP) - The new technology for communication bw...Vishnu Singh Chundawat
GCE NFS HA
- 1. GCE - NFS with NLB Simon Su @ MiCloud
- 2. Objective We want to know network load balancer backup pool will work with NFS or not. And how many latency when main pool switch to backup pool… PS: This is just a lab… Using GCS bucket notification service to sync running servers’ file will better than others… Or using GCS as file read write service will excellent!
- 3. Network Load Balancer (nfs-lb / 130.211.245.39) nfs-1 (nfs-pool) nfs-client (104.155.196.85) nfs-2 (nfs-pool-bk) rsync
- 4. Prepare servers - nfs-1, nfs-2 ● nfs server ○ yum update -y && yum install rpcbind nfs-utils -y ○ /etc/init.d/rpcbind start ○ /etc/init.d/nfs start ○ /etc/init.d/nfslock start ○ chkconfig rpcbind on ○ chkconfig nfs on ○ chkconfig nfslock on
- 5. Create a firewall rule for tag - nfs client external ip load balancer ip internal ip
- 6. Instance with nfs tag
- 7. Create main pool with back pool
- 9. Prepare client - nfs-client ● nfs-client ○ rpcinfo -p [remote address] ○ mount -t nfs [load balancer ip]:/data /mnt
- 10. Continue read file test while [ true ] ; do echo `date` - `cat /mnt/1234` ; sleep 3; done
- 11. See the test - http://youtu.be/WsEyXOmI4OY
- 12. Issues ● rapidly switch nfs server will let nfs client crash ● ever switch between main pool to back pool will cost about 30sec ~ 60sec