StripeEu Twistedbytes Presentation
•
0 likes•713 views
This document provides an overview of how to set up a SilverStripe website on a server. It discusses basic server configuration including using Apache or Nginx webservers, MySQL/MariaDB or PostgreSQL databases, and PHP runtime. It also covers SilverStripe-specific optimizations like using php-fpm and opcode caches. Finally, it discusses scaling a small SilverStripe site to larger sizes through techniques like caching, splitting servers, and adding failover.
Report
Share
Report
Share
Download to read offline
Recommended
Web Performance Part 3 "Server-side tips"
The presentation is devoted to server side tips on improving Web Performance. All 4 presentations will help you reduce latency, enrich optimization of javascript code, discover tricky parts when working with API browser, see best practices of networking and learn lots of other important and interesting things. Enjoy! =)
Performance Web
The document discusses factors that affect website performance, including front-end elements like CSS, JavaScript, images, and back-end elements like caching, threading, and database queries. It notes that only 10-20% of response time is spent on downloading HTML, so focus should be on optimizing other parts of the page load. It also outlines the anatomy of an HTTP request and lists 14 rules for improving performance, such as reducing HTTP requests, using content delivery networks, gzipping components, and making AJAX cacheable. It emphasizes that teams should regularly audit performance and prioritize optimizations.
WordPress: Performance, Optimization & Scaling
The document discusses various techniques for optimizing performance and scaling WordPress sites. It covers caching at the disk, memory, page, and object levels. It also discusses scaling strategies like using multiple web and database servers, database sharding, file syncing, and caching technologies like Memcached. Specific caching plugins like Batcache and W3TC are mentioned. Coding best practices like using transients and the WordPress APIs are recommended to optimize performance.
Hbase
This document discusses several key concepts in HBase including its architecture, data model, caching mechanisms, compaction process, block size considerations, failover process, and region splitting. It addresses questions around HBase's master-slave model, location of the meta table, row key design principles, the roles of memstore and blockcache, how minor and major compactions work, tradeoffs of large versus small block sizes, and how the system handles failures or administrative actions that involve moving regions.
MongoDB London PHP
MongoDB is an open-source, schema-free, document-oriented database that provides high performance and scalability. It addresses some limitations of relational databases like flexibility and scalability. MongoDB uses a document-based data model which allows dynamic schemas and easier integration with dynamic languages. It is a good fit for applications that need to store large volumes of unstructured or semi-structured data.
Caching
This document discusses different types of caching that can improve performance for PHP applications. It covers opcode caching, which speeds up code execution; data caching using key-value stores like APC, Memcached, and Redis to cache user data; reverse proxy caching with Varnish to cache responses; and browser caching using HTTP headers to cache responses locally. The document provides examples and advantages of each approach. Opcode caches like Zend Optimizer+ and APC compile PHP to bytecode for faster execution. Data caches store user data to reduce database queries. Reverse proxies cache responses for multiple clients. Browser caching improves load times for return visitors.
WordCamp RVA
The document discusses optimizing WordPress performance. It recommends minimizing frontend assets like images, implementing caching for assets and application chunks, optimizing themes and plugins, and choosing efficient server setups. Specific plugins like W3 Total Cache and a CDN can improve performance by up to 10 times by caching static content. Nginx is presented as a faster alternative to Apache. Overall, the key takeaways are to simplify code, minimize requests, optimize caching, and reduce payload sizes to improve perceived and actual performance.
Hbase
This document discusses HBase, including its architecture, data model, use of master-slave, metadata storage, row key design, caching, compaction, block size, failover handling, splitting, and deletion. It also provides links to additional resources about HBase administration, block caching, architecture, and use cases compared to Hive.
Recommended
Web Performance Part 3 "Server-side tips"
The presentation is devoted to server side tips on improving Web Performance. All 4 presentations will help you reduce latency, enrich optimization of javascript code, discover tricky parts when working with API browser, see best practices of networking and learn lots of other important and interesting things. Enjoy! =)
Performance Web
The document discusses factors that affect website performance, including front-end elements like CSS, JavaScript, images, and back-end elements like caching, threading, and database queries. It notes that only 10-20% of response time is spent on downloading HTML, so focus should be on optimizing other parts of the page load. It also outlines the anatomy of an HTTP request and lists 14 rules for improving performance, such as reducing HTTP requests, using content delivery networks, gzipping components, and making AJAX cacheable. It emphasizes that teams should regularly audit performance and prioritize optimizations.
WordPress: Performance, Optimization & Scaling
The document discusses various techniques for optimizing performance and scaling WordPress sites. It covers caching at the disk, memory, page, and object levels. It also discusses scaling strategies like using multiple web and database servers, database sharding, file syncing, and caching technologies like Memcached. Specific caching plugins like Batcache and W3TC are mentioned. Coding best practices like using transients and the WordPress APIs are recommended to optimize performance.
Hbase
This document discusses several key concepts in HBase including its architecture, data model, caching mechanisms, compaction process, block size considerations, failover process, and region splitting. It addresses questions around HBase's master-slave model, location of the meta table, row key design principles, the roles of memstore and blockcache, how minor and major compactions work, tradeoffs of large versus small block sizes, and how the system handles failures or administrative actions that involve moving regions.
MongoDB London PHP
MongoDB is an open-source, schema-free, document-oriented database that provides high performance and scalability. It addresses some limitations of relational databases like flexibility and scalability. MongoDB uses a document-based data model which allows dynamic schemas and easier integration with dynamic languages. It is a good fit for applications that need to store large volumes of unstructured or semi-structured data.
Caching
This document discusses different types of caching that can improve performance for PHP applications. It covers opcode caching, which speeds up code execution; data caching using key-value stores like APC, Memcached, and Redis to cache user data; reverse proxy caching with Varnish to cache responses; and browser caching using HTTP headers to cache responses locally. The document provides examples and advantages of each approach. Opcode caches like Zend Optimizer+ and APC compile PHP to bytecode for faster execution. Data caches store user data to reduce database queries. Reverse proxies cache responses for multiple clients. Browser caching improves load times for return visitors.
WordCamp RVA
The document discusses optimizing WordPress performance. It recommends minimizing frontend assets like images, implementing caching for assets and application chunks, optimizing themes and plugins, and choosing efficient server setups. Specific plugins like W3 Total Cache and a CDN can improve performance by up to 10 times by caching static content. Nginx is presented as a faster alternative to Apache. Overall, the key takeaways are to simplify code, minimize requests, optimize caching, and reduce payload sizes to improve perceived and actual performance.
Hbase
This document discusses HBase, including its architecture, data model, use of master-slave, metadata storage, row key design, caching, compaction, block size, failover handling, splitting, and deletion. It also provides links to additional resources about HBase administration, block caching, architecture, and use cases compared to Hive.
NYT Web Archive
- The document discusses archiving web content from the New York Times website dating back to 1996 and stored across multiple frameworks over time (VINYT1, NYT2, NYT3, NYT4, NYT5).
- NYT4, used from 2006-2014, presented challenges to archive as it consisted of over 5 million HTML files stored across servers in different data centers.
- The archiving process involved taking whole-page screenshots, migrating the content to static HTML files on Google Cloud Storage, addressing issues like Flash content and mixed character encoding, and testing the archives.
From One to a Cluster
Brian Moon discusses the evolution of the architecture of dealnews.com from a single server setup in the late 1990s to a clustered architecture in 2008. The initial setup encountered bottlenecks with software load balancing and using NFS. They overcame these by implementing hardware load balancing, dropping NFS, and using Memcached for caching. As traffic increased from sites like Digg and Yahoo!, they added more servers, offloaded static content to a CDN, and implemented a custom caching proxy and "pushed cache" to prevent stampeding. Their current architecture loads balances incoming traffic with F5 BIG-IP and uses replication and load balancing for the database.
Work WIth Redis and Perl
This document discusses using Redis as a work queue for distributing tasks across worker processes. It provides an overview of Redis, describes how to implement a basic work queue using Redis lists, and shows various work queue patterns like synchronous and asynchronous producer-consumer models. It also covers options for scaling out queues and ensuring high availability and reliability. Code examples are provided using the Redis.pm Perl module.
Roshan Bhattarai: Scaling WordPress for high traffic sites
This document provides optimization tips for scaling WordPress to handle high traffic volumes. It recommends using caching plugins like W3 Total Cache to optimize page speeds. It also suggests serving static assets through a CDN and moving to a VPS or dedicated server for higher traffic sites. For very high traffic sites of over 10 million daily hits, the document recommends load balancing across multiple HTTP and database servers, as well as implementing database sharding or replication using tools like HyperDB to partition data across databases.
Scaling wordpress for high traffic
This document provides optimization tips for scaling WordPress to handle high traffic volumes. It recommends using caching plugins like W3 Total Cache to optimize page speeds. It also suggests serving static assets through a CDN and moving to a VPS or dedicated server for higher traffic sites. For very high traffic sites of over 10 million daily hits, the document recommends load balancing across multiple HTTP and database servers, as well as implementing database sharding or replication using tools like HyperDB to partition data across databases.
Update on Crimson - the Seastarized Ceph - Seastar Summit
The document summarizes updates to Ceph's Crimson storage system. Crimson uses Seastar, a library for high performance asynchronous programming, to improve the performance of Ceph's OSD (Object Storage Daemon). Specifically, Crimson avoids kernel overhead, eliminates unnecessary memory copies and context switches, and is optimized for modern storage devices. Benchmark results show Crimson significantly improves average IOPS, latency, and CPU utilization compared to the original Ceph storage design.
Screaming Fast Wpmu
This document discusses optimizing a WordPress installation for performance. It recommends using Nginx as a reverse proxy cache in front of Apache and PHP to cache both logged-in and logged-out content. It achieved near elimination of problems, doubled network throughput, halved memory usage, and allowed disabling of plugins by caching everything. Results included atom feeds increasing in speed from 6 requests/second to over 7000 requests/second.
Phorum MySQL tricks
This document provides various tips and tricks for optimizing MySQL queries and performance. Some of the key points include:
- Using SQL_COUNT_FOUND_ROWS to get the total row count without LIMIT for paging queries.
- For large result sets, using unbuffered queries and fetching rows one by one can improve performance over buffered queries that retrieve all rows into memory at once.
- Forcing a specific index can improve query performance compared to the index the optimizer selects, if you know your data and test different strategies.
- Full text search in MySQL is generally faster than LIKE queries but requires careful use of indexes and temporary tables to merge results efficiently.
Top4top Showcase
The document discusses strategies for scaling a website to handle increasing traffic loads. For normal daily loads of 100,000 users and 500,000 pageviews, a single server with caching is sufficient. If traffic surges to 1,000,000 users and 5,000,000 pageviews on "rainy days", additional servers running the same application are deployed behind a load balancer to share the load. If needed, the database may also be isolated to its own server to allow scaling to millions of pageviews for $350 per month.
2013 - Brian Stanley - Memcached, Cached all the things
This document discusses Memcached, a distributed caching system that stores data and objects in memory for fast access. It can be used to cache database queries, API responses, and other computationally expensive operations. Memcached is an in-memory key-value store that uses a simple client-server architecture over TCP/IP or UDP. It allows storing and retrieving arbitrary data (strings, objects) indexed by keys.
Cache hcm-topdev
The document discusses how to build a system that can handle high access requests. It covers optimizing performance at the node level and scaling to multiple nodes. It then discusses various problems that can occur at different levels, from the client to the server to cross-server, and provides solutions for issues like caching, load balancing, and communication between servers. The overall goal is to understand where bottlenecks can occur and how to optimize each component to build a scalable system that can handle high traffic loads.
How we got to 1 millisecond latency in 99% under repair, compaction, and flus...
Scylla is an open source reimplementation of Cassandra which performs up to 10X with drop in-replacement compatibility. At ScyllaDB, performance matters but even more importantly, stable performance under any circumstances.
A key factor for our consistent performance is our reliance on userspace schedulers. Scheduling in userspace allows the application, the database in our case to have better control on the different priorities each task has and to provide an SLA to selected operations. Scylla used to have an I/O scheduler and recently won a CPU scheduler.
At ScyllaDB, we make architectural decisions that provide not only low latencies but consistently low latencies at higher percentiles. This begins with our choice of language and key architectural decisions such as not using the Linux page-cache, and is fulfilled by autonomous database control, a set of algorithms, which guarantees that the system will adapt to changes in the workload. In the last year, we have made changes to Scylla that provide latencies that are consistent in every percentile. In this talk, Dor Laor will recap those changes and discuss what ScyllaDB is doing in the future.
Using Ceph in OStack.de - Ceph Day Frankfurt
teuto.net Netzdienste GmbH is an 18 employee Linux systems house and web development company located in Bielefeld, Germany. They have been offering an OpenStack Ceph storage service in a closed beta since September 2013, running on 20 compute nodes and 5 Ceph storage nodes. Key factors in their decision to use one Ceph cluster to meet all of OpenStack's storage needs included no single point of failure, seamless scalability, and commercial support from Inktank.
ops300 Week5 storage (1)
This document provides instructions and specifications for setting up a storage environment for practical testing in Proxmox. It describes setting up various virtual machines and containers with Linux and Windows operating systems along with networking tools. It also covers configuring block storage, file storage, and object storage using local disks, RBD/Ceph distributed storage, and examples of container and virtual machine networking configurations for testing interconnection goals.
Mysql cluster
This document compares features of different MySQL storage engines including MyISAM, Memory, InnoDB, and NDB. It discusses their storage limits, support for foreign keys and transactions, locking granularity, and provides links for setting up MySQL Cluster and high availability configurations.
Scaling Redis: Dmitry Polyakovsky
This document discusses different approaches to scaling Redis, including application sharding, using Envoy Proxy, and Redis Cluster. It provides an overview of each approach, demos of application sharding with a hash ring and Envoy Proxy with load balancing, and a demo of Redis Cluster. Pros and cons of each approach are also outlined. The document concludes with links to relevant resources and a Q&A section.
Webinar slides: Become a MongoDB DBA - What to Monitor (if you’re really a My...
To operate MongoDB efficiently, you need to have insight into database performance. And with that in mind, we’ll dive into monitoring in this second webinar in the ‘Become a MongoDB DBA’ series. MongoDB offers many metrics through various status overviews and commands, but which ones really matter to you? How do you trend and alert on them? What is the meaning behind the metrics?
We’ll discuss the most important ones and describe them in ordinary plain MySQL DBA language. And we’ll have a look at the open source tools available for MongoDB monitoring and trending. Finally, we’ll show you how to leverage ClusterControl’s MongoDB metrics, dashboards, custom alerting and other features to track and optimize the performance of your system.
AGENDA
How does MongoDB monitoring compare to MySQL
Key MongoDB metrics to know about
Trending or alerting?
Available open source MongoDB monitoring tools
How to monitor MongoDB using ClusterControl
Demo
SPEAKER
Art van Scheppingen is a Senior Support Engineer at Severalnines. He’s a pragmatic MySQL and Database expert with over 15 years experience in web development. He previously worked at Spil Games as Head of Database Engineering, where he kept a broad vision upon the whole database environment: from MySQL to Couchbase, Vertica to Hadoop and from Sphinx Search to SOLR. He regularly presents his work and projects at various conferences (Percona Live, FOSDEM) and related meetups.
Automation of Hadoop cluster operations in Arm Treasure Data
This talk will focus on the journey we in the Arm Treasure Data hadoop team is on to simplify and automate how we deploy hadoop. In Arm Treasure Data, up to recently we were running hadoop clusters in two clouds. Due to fast increase of deployments into more sites, the overhead of manual operations has started to strain us. Due to this, we started a project last year to automate and simplify how we deploy using tools like AWS autoscaling groups. Steps we have taken so far are modernize and standardize instance types, moved from manually executed deployment scripts to api triggered work flows, actively working to deprecate chef in favor of debian packages and AWS Codedeploy. We have also started to automate a lot of operations that up to recently were manual, like scaling in and out clusters, and routing traffic between clusters. We also started simplify health check and node snapshotting. And our goal of the year is close to fully automated cluster operations.
Scaling up and accelerating Drupal 8 with NoSQL
Drupal 8 can scale well and serve pages fast to many users, especially by offloading parts of the work load from the main SQL database to NoSQL solutions.
This presentation describes the strategies and technologies usable to achieve such gains, including specific configuration, contributed modules and custom coding strategies.
Netflix Open Source Meetup Season 4 Episode 2
In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix.
The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs.
The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis.
Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap.
Boosting I/O Performance with KVM io_uring
Storage performance is becoming much more important. KVM io_uring attempts to bring the I/O performance of a virtual machine on almost the same level of bare metal. Apache CloudStack has support for io_uring since version 4.16. Wido will show the difference in performance io_uring brings to the table.
Wido den Hollander is the CTO of CLouDinfra, an infrastructure company offering total Webhosting solutions. CLDIN provides datacenter, IP and virtualization services for the companies within TWS. Wido den Hollander is a PMC member of the Apache CloudStack Project and a Ceph expert. He started with CloudStack 9 years ago. What attracted his attention is the simplicity of CloudStack and the fact that it is an open-source solution. During the years Wido became a contributor, a PMC member and he was a VP of the project for a year. He is one of our most active members, who puts a lot of efforts to keep the project active and transform it into a turnkey solution for cloud builders.
-----------------------------------------
The CloudStack European User Group 2022 took place on 7th April. The day saw a virtual get together for the European CloudStack Community, hosting 265 attendees from 25 countries. The event hosted 10 sessions with from leading CloudStack experts, users and skilful engineers from the open-source world, which included: technical talks, user stories, new features and integrations presentations and more.
------------------------------------------
About CloudStack: https://cloudstack.apache.org/
Memcache d
This document provides an overview of Memcached, including:
- Memcached is an in-memory key-value store that provides fast data storage and retrieval to reduce database load. It stores data in RAM for fast read performance.
- Features include least recently used caching, low CPU overhead, horizontal scalability by adding more servers, and session storage.
- Memcached works by clients calculating a hash of the key to determine which server stores the data, then sends requests to that server to perform gets, sets, and other operations on the key-value pairs.
More Related Content
What's hot
NYT Web Archive
- The document discusses archiving web content from the New York Times website dating back to 1996 and stored across multiple frameworks over time (VINYT1, NYT2, NYT3, NYT4, NYT5).
- NYT4, used from 2006-2014, presented challenges to archive as it consisted of over 5 million HTML files stored across servers in different data centers.
- The archiving process involved taking whole-page screenshots, migrating the content to static HTML files on Google Cloud Storage, addressing issues like Flash content and mixed character encoding, and testing the archives.
From One to a Cluster
Brian Moon discusses the evolution of the architecture of dealnews.com from a single server setup in the late 1990s to a clustered architecture in 2008. The initial setup encountered bottlenecks with software load balancing and using NFS. They overcame these by implementing hardware load balancing, dropping NFS, and using Memcached for caching. As traffic increased from sites like Digg and Yahoo!, they added more servers, offloaded static content to a CDN, and implemented a custom caching proxy and "pushed cache" to prevent stampeding. Their current architecture loads balances incoming traffic with F5 BIG-IP and uses replication and load balancing for the database.
Work WIth Redis and Perl
This document discusses using Redis as a work queue for distributing tasks across worker processes. It provides an overview of Redis, describes how to implement a basic work queue using Redis lists, and shows various work queue patterns like synchronous and asynchronous producer-consumer models. It also covers options for scaling out queues and ensuring high availability and reliability. Code examples are provided using the Redis.pm Perl module.
Roshan Bhattarai: Scaling WordPress for high traffic sites
This document provides optimization tips for scaling WordPress to handle high traffic volumes. It recommends using caching plugins like W3 Total Cache to optimize page speeds. It also suggests serving static assets through a CDN and moving to a VPS or dedicated server for higher traffic sites. For very high traffic sites of over 10 million daily hits, the document recommends load balancing across multiple HTTP and database servers, as well as implementing database sharding or replication using tools like HyperDB to partition data across databases.
Scaling wordpress for high traffic
This document provides optimization tips for scaling WordPress to handle high traffic volumes. It recommends using caching plugins like W3 Total Cache to optimize page speeds. It also suggests serving static assets through a CDN and moving to a VPS or dedicated server for higher traffic sites. For very high traffic sites of over 10 million daily hits, the document recommends load balancing across multiple HTTP and database servers, as well as implementing database sharding or replication using tools like HyperDB to partition data across databases.
Update on Crimson - the Seastarized Ceph - Seastar Summit
The document summarizes updates to Ceph's Crimson storage system. Crimson uses Seastar, a library for high performance asynchronous programming, to improve the performance of Ceph's OSD (Object Storage Daemon). Specifically, Crimson avoids kernel overhead, eliminates unnecessary memory copies and context switches, and is optimized for modern storage devices. Benchmark results show Crimson significantly improves average IOPS, latency, and CPU utilization compared to the original Ceph storage design.
Screaming Fast Wpmu
This document discusses optimizing a WordPress installation for performance. It recommends using Nginx as a reverse proxy cache in front of Apache and PHP to cache both logged-in and logged-out content. It achieved near elimination of problems, doubled network throughput, halved memory usage, and allowed disabling of plugins by caching everything. Results included atom feeds increasing in speed from 6 requests/second to over 7000 requests/second.
Phorum MySQL tricks
This document provides various tips and tricks for optimizing MySQL queries and performance. Some of the key points include:
- Using SQL_COUNT_FOUND_ROWS to get the total row count without LIMIT for paging queries.
- For large result sets, using unbuffered queries and fetching rows one by one can improve performance over buffered queries that retrieve all rows into memory at once.
- Forcing a specific index can improve query performance compared to the index the optimizer selects, if you know your data and test different strategies.
- Full text search in MySQL is generally faster than LIKE queries but requires careful use of indexes and temporary tables to merge results efficiently.
Top4top Showcase
The document discusses strategies for scaling a website to handle increasing traffic loads. For normal daily loads of 100,000 users and 500,000 pageviews, a single server with caching is sufficient. If traffic surges to 1,000,000 users and 5,000,000 pageviews on "rainy days", additional servers running the same application are deployed behind a load balancer to share the load. If needed, the database may also be isolated to its own server to allow scaling to millions of pageviews for $350 per month.
2013 - Brian Stanley - Memcached, Cached all the things
This document discusses Memcached, a distributed caching system that stores data and objects in memory for fast access. It can be used to cache database queries, API responses, and other computationally expensive operations. Memcached is an in-memory key-value store that uses a simple client-server architecture over TCP/IP or UDP. It allows storing and retrieving arbitrary data (strings, objects) indexed by keys.
Cache hcm-topdev
The document discusses how to build a system that can handle high access requests. It covers optimizing performance at the node level and scaling to multiple nodes. It then discusses various problems that can occur at different levels, from the client to the server to cross-server, and provides solutions for issues like caching, load balancing, and communication between servers. The overall goal is to understand where bottlenecks can occur and how to optimize each component to build a scalable system that can handle high traffic loads.
How we got to 1 millisecond latency in 99% under repair, compaction, and flus...
Scylla is an open source reimplementation of Cassandra which performs up to 10X with drop in-replacement compatibility. At ScyllaDB, performance matters but even more importantly, stable performance under any circumstances.
A key factor for our consistent performance is our reliance on userspace schedulers. Scheduling in userspace allows the application, the database in our case to have better control on the different priorities each task has and to provide an SLA to selected operations. Scylla used to have an I/O scheduler and recently won a CPU scheduler.
At ScyllaDB, we make architectural decisions that provide not only low latencies but consistently low latencies at higher percentiles. This begins with our choice of language and key architectural decisions such as not using the Linux page-cache, and is fulfilled by autonomous database control, a set of algorithms, which guarantees that the system will adapt to changes in the workload. In the last year, we have made changes to Scylla that provide latencies that are consistent in every percentile. In this talk, Dor Laor will recap those changes and discuss what ScyllaDB is doing in the future.
Using Ceph in OStack.de - Ceph Day Frankfurt
teuto.net Netzdienste GmbH is an 18 employee Linux systems house and web development company located in Bielefeld, Germany. They have been offering an OpenStack Ceph storage service in a closed beta since September 2013, running on 20 compute nodes and 5 Ceph storage nodes. Key factors in their decision to use one Ceph cluster to meet all of OpenStack's storage needs included no single point of failure, seamless scalability, and commercial support from Inktank.
ops300 Week5 storage (1)
This document provides instructions and specifications for setting up a storage environment for practical testing in Proxmox. It describes setting up various virtual machines and containers with Linux and Windows operating systems along with networking tools. It also covers configuring block storage, file storage, and object storage using local disks, RBD/Ceph distributed storage, and examples of container and virtual machine networking configurations for testing interconnection goals.
Mysql cluster
This document compares features of different MySQL storage engines including MyISAM, Memory, InnoDB, and NDB. It discusses their storage limits, support for foreign keys and transactions, locking granularity, and provides links for setting up MySQL Cluster and high availability configurations.
Scaling Redis: Dmitry Polyakovsky
This document discusses different approaches to scaling Redis, including application sharding, using Envoy Proxy, and Redis Cluster. It provides an overview of each approach, demos of application sharding with a hash ring and Envoy Proxy with load balancing, and a demo of Redis Cluster. Pros and cons of each approach are also outlined. The document concludes with links to relevant resources and a Q&A section.
Webinar slides: Become a MongoDB DBA - What to Monitor (if you’re really a My...
To operate MongoDB efficiently, you need to have insight into database performance. And with that in mind, we’ll dive into monitoring in this second webinar in the ‘Become a MongoDB DBA’ series. MongoDB offers many metrics through various status overviews and commands, but which ones really matter to you? How do you trend and alert on them? What is the meaning behind the metrics?
We’ll discuss the most important ones and describe them in ordinary plain MySQL DBA language. And we’ll have a look at the open source tools available for MongoDB monitoring and trending. Finally, we’ll show you how to leverage ClusterControl’s MongoDB metrics, dashboards, custom alerting and other features to track and optimize the performance of your system.
AGENDA
How does MongoDB monitoring compare to MySQL
Key MongoDB metrics to know about
Trending or alerting?
Available open source MongoDB monitoring tools
How to monitor MongoDB using ClusterControl
Demo
SPEAKER
Art van Scheppingen is a Senior Support Engineer at Severalnines. He’s a pragmatic MySQL and Database expert with over 15 years experience in web development. He previously worked at Spil Games as Head of Database Engineering, where he kept a broad vision upon the whole database environment: from MySQL to Couchbase, Vertica to Hadoop and from Sphinx Search to SOLR. He regularly presents his work and projects at various conferences (Percona Live, FOSDEM) and related meetups.
What's hot (17)
Roshan Bhattarai: Scaling WordPress for high traffic sites
Roshan Bhattarai: Scaling WordPress for high traffic sites
Update on Crimson - the Seastarized Ceph - Seastar Summit
Update on Crimson - the Seastarized Ceph - Seastar Summit
2013 - Brian Stanley - Memcached, Cached all the things
2013 - Brian Stanley - Memcached, Cached all the things
How we got to 1 millisecond latency in 99% under repair, compaction, and flus...
How we got to 1 millisecond latency in 99% under repair, compaction, and flus...
Webinar slides: Become a MongoDB DBA - What to Monitor (if you’re really a My...
Webinar slides: Become a MongoDB DBA - What to Monitor (if you’re really a My...
Similar to StripeEu Twistedbytes Presentation
Automation of Hadoop cluster operations in Arm Treasure Data
This talk will focus on the journey we in the Arm Treasure Data hadoop team is on to simplify and automate how we deploy hadoop. In Arm Treasure Data, up to recently we were running hadoop clusters in two clouds. Due to fast increase of deployments into more sites, the overhead of manual operations has started to strain us. Due to this, we started a project last year to automate and simplify how we deploy using tools like AWS autoscaling groups. Steps we have taken so far are modernize and standardize instance types, moved from manually executed deployment scripts to api triggered work flows, actively working to deprecate chef in favor of debian packages and AWS Codedeploy. We have also started to automate a lot of operations that up to recently were manual, like scaling in and out clusters, and routing traffic between clusters. We also started simplify health check and node snapshotting. And our goal of the year is close to fully automated cluster operations.
Scaling up and accelerating Drupal 8 with NoSQL
Drupal 8 can scale well and serve pages fast to many users, especially by offloading parts of the work load from the main SQL database to NoSQL solutions.
This presentation describes the strategies and technologies usable to achieve such gains, including specific configuration, contributed modules and custom coding strategies.
Netflix Open Source Meetup Season 4 Episode 2
In this episode, we will take a close look at 2 different approaches to high-throughput/low-latency data stores, developed by Netflix.
The first, EVCache, is a battle-tested distributed memcached-backed data store, optimized for the cloud. You will also hear about the road ahead for EVCache it evolves into an L1/L2 cache over RAM and SSDs.
The second, Dynomite, is a framework to make any non-distributed data-store, distributed. Netflix's first implementation of Dynomite is based on Redis.
Come learn about the products' features and hear from Thomson and Reuters, Diego Pacheco from Ilegra and other third party speakers, internal and external to Netflix, on how these products fit in their stack and roadmap.
Boosting I/O Performance with KVM io_uring
Storage performance is becoming much more important. KVM io_uring attempts to bring the I/O performance of a virtual machine on almost the same level of bare metal. Apache CloudStack has support for io_uring since version 4.16. Wido will show the difference in performance io_uring brings to the table.
Wido den Hollander is the CTO of CLouDinfra, an infrastructure company offering total Webhosting solutions. CLDIN provides datacenter, IP and virtualization services for the companies within TWS. Wido den Hollander is a PMC member of the Apache CloudStack Project and a Ceph expert. He started with CloudStack 9 years ago. What attracted his attention is the simplicity of CloudStack and the fact that it is an open-source solution. During the years Wido became a contributor, a PMC member and he was a VP of the project for a year. He is one of our most active members, who puts a lot of efforts to keep the project active and transform it into a turnkey solution for cloud builders.
-----------------------------------------
The CloudStack European User Group 2022 took place on 7th April. The day saw a virtual get together for the European CloudStack Community, hosting 265 attendees from 25 countries. The event hosted 10 sessions with from leading CloudStack experts, users and skilful engineers from the open-source world, which included: technical talks, user stories, new features and integrations presentations and more.
------------------------------------------
About CloudStack: https://cloudstack.apache.org/
Memcache d
This document provides an overview of Memcached, including:
- Memcached is an in-memory key-value store that provides fast data storage and retrieval to reduce database load. It stores data in RAM for fast read performance.
- Features include least recently used caching, low CPU overhead, horizontal scalability by adding more servers, and session storage.
- Memcached works by clients calculating a hash of the key to determine which server stores the data, then sends requests to that server to perform gets, sets, and other operations on the key-value pairs.
Application Caching: The Hidden Microservice
1. Application caching is used heavily at Netflix to improve performance for many microservices and user experiences like the home page, video playback, and personalization.
2. EVCache is Netflix's custom key-value cache that is distributed, replicated across AWS regions and optimized for their use cases. It handles trillions of operations per day across thousands of servers.
3. Moneta is the next generation of EVCache, using SSD storage in addition to RAM to reduce costs by 70% while maintaining performance. It intelligently manages hot and cold data between storage types.
Presentation for IGDCloud meetup: The clouds arena AWS ver. others
Cloud solutions power millions of companies worldwide. Market leader, Amazon Web Services, is challenged by new, aggressive players and consumers benefit from additional offerings, more computing power and even more flexible pricing.
Knowledge is power, so learn what is the right solution for your business on every stage. Get independent data and benchmarks of Softlayer, GoGrid, Rackspace, Linode and ProfitBricks.
AWS Big Data Demystified #1: Big data architecture lessons learned
AWS Big Data Demystified #1: Big data architecture lessons learned . a quick overview of a big data techonoligies, which were selected and disregard in our company
The video: https://youtu.be/l5KmaZNQxaU
dont forget to subcribe to the youtube channel
The website: https://amazon-aws-big-data-demystified.ninja/
The meetup : https://www.meetup.com/AWS-Big-Data-Demystified/
The facebook group : https://www.facebook.com/Amazon-AWS-Big-Data-Demystified-1832900280345700/
Ceph Day London 2014 - Deploying ceph in the wild
The document discusses Wido den Hollander's experience deploying Ceph storage clusters in various organizations. It describes two example deployments: one using Ceph block storage with CloudStack for 1000 VMs and S3 object storage, using SSDs and HDDs optimized for IOPS; the other using Ceph block storage with OCFS2 shared filesystem between web servers, using all SSDs and 10GbE networking for low latency. The document emphasizes designing for high IOPS rather than just capacity, and discusses best practices like regular hardware updates and testing recovery scenarios.
AWS big-data-demystified #1.1 | Big Data Architecture Lessons Learned | English
Aws big-data-demystified #1.1 | Big Data Architecture Lessons Learned | spoken Language: English. AWS. Big Data. Architecture. Hadoop. Open Source. EMR.
Secure and private collaboration - LinuxDays 2015 Kolab and Univention
This document provides instructions for setting up an on-premise Kolab groupware installation on Ubuntu 14.04 LTS. It includes steps for installing Ubuntu, enabling SSL, installing Kolab from repositories, configuring TLS for IMAP, and adding a test user. The setup is intended to provide a working Kolab installation for file, email and groupware functionality in a single machine configuration.
Scaling PHP apps
Matteo Moretti discusses scaling PHP applications. He covers scaling the web server, sessions, database, filesystem, asynchronous tasks, and logging. The key aspects are decoupling services, using caching, moving to external services like Redis, S3, and RabbitMQ, and allowing those services to scale automatically using techniques like auto-scaling. Sharding the database is difficult to implement and should only be done if really needed.
Real-world Experiences in Scala
The document summarizes the author's journey from being a C# developer to adopting Scala. He was tired of Microsoft's ecosystem and wanted to use Linux. Scala met his criteria of being open source, cross-platform, functional, and modern. He used Scala with Play Framework and MongoDB to build systems for Tehran International Book Fair that had to handle high traffic. While one project failed initially due to server limitations, he was able to fix it and complete the projects successfully on a larger server. He is now happy with his Scala ecosystem.
nebulaconf
This document discusses Pedro Dias's experience with OpenNebula. It describes how he used OpenNebula at his hosting company PTisp to replace their previous IaaS solution. OpenNebula met their requirements of being open, avoiding vendor lock-in, and having a low maintenance stack. The document outlines some customizations made to OpenNebula, such as using LVM instead of cLVM and developing tools like ONE Janitor to help with storage and VM sanitization. It also mentions contributions to the OpenNebula project and developing a Node.js addon and multi-tenant web panel called Cloudash.
DORS/CLUC How to setup Kolab and Seafile as your personal secure data bank
Hosting your own servers for groupware and filestorage can be very compelling because of a number of reasons.
But doing it right can be quite a tedious job. This workshop, which was given at the DORS/CLUC conference in Zagreb will guide you through installing the Kolab groupware solution and integrate the Seafile filesyncing application with it, creating your own personal data bank!
PL22 - Backup and Restore Performance.pptx
This document compares the performance of different MySQL backup and restore tools including mysqldump, mydumper, mysqlpump, Xtrabackup, and MySQL shell. It describes benchmark tests conducted on a 96GB MySQL database using these tools under various compression options. The results show that Xtrabackup offers the best balance of backup speed and size when compression is used. mydumper/myloader and MySQL shell provide the fastest logical backups while mysqlpump has high backup capacity but slow restores due to lack of parallelism. In conclusion, compression does not significantly impact performance but saves disk space, and parallelism provides a major boost that is limited by I/O capacity. For routine backups, the presenter
Scaling symfony apps
This document discusses scaling Symfony applications. It begins by introducing the speaker and their experience scaling large applications. It then covers scaling different aspects of an application including the web server, sessions, database, and filesystem. For each area, it provides recommendations such as using PHP opcode caching, storing sessions in Redis or Memcached, considering database sharding for very large databases, and using an abstraction layer like FlysystemBundle to store files in cloud storage like Amazon S3. The overall message is that scaling can be achieved through configuration changes and decoupling services rather than code changes.
Cloud arch patterns
This document discusses PostgreSQL database architecture patterns for running PostgreSQL at scale when a relational database as a service like Amazon RDS won't meet needs. It describes challenges faced with MySQL, Redshift and Vertica and how PostgreSQL was better suited through techniques like partitioning by date, TOAST compression, foreign data wrappers, and poor man's parallel processing. Key takeaways are that PostgreSQL supported scaling to petabytes of data, sub-second queries across large date ranges, and custom extensions needed while avoiding limitations and expenses of other database options.
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage can utilize flash technology to accelerate applications in three ways: 1) use all flash storage for highest performance, 2) use a hybrid configuration with performance critical data on flash tier and colder data on HDD tier, or 3) utilize host caching of critical data on flash. Benchmark results showed that using NVMe SSDs in Ceph provided much higher performance than SATA SSDs, with speed increases of up to 8x for some workloads. However, testing also showed that Ceph may not be well-suited for OLTP MySQL workloads due to small random reads/writes, as local SSD storage outperformed the Ceph cluster. Proper Linux tuning is also needed to maximize SSD performance within
Host and Boast: Best Practices for Magento Hosting | Imagine 2013 Technolog…
This document provides best practices for Magento hosting. It discusses using proper permissions for files and directories, PHP configurations like using APC caching and increasing memory limits. It recommends using PHP-FPM with Apache or Nginx as the web server. For the database, it suggests using Percona MySQL and provides tuning tips. It outlines a caching strategy using Redis and Memcache with Magento's built-in caching and recommends using Varnish for full page caching. The document concludes with links for more information on its caching and performance recommendations.
Similar to StripeEu Twistedbytes Presentation (20)
Automation of Hadoop cluster operations in Arm Treasure Data
Automation of Hadoop cluster operations in Arm Treasure Data
Presentation for IGDCloud meetup: The clouds arena AWS ver. others
Presentation for IGDCloud meetup: The clouds arena AWS ver. others
AWS Big Data Demystified #1: Big data architecture lessons learned
AWS Big Data Demystified #1: Big data architecture lessons learned
AWS big-data-demystified #1.1 | Big Data Architecture Lessons Learned | English
AWS big-data-demystified #1.1 | Big Data Architecture Lessons Learned | English
Secure and private collaboration - LinuxDays 2015 Kolab and Univention
Secure and private collaboration - LinuxDays 2015 Kolab and Univention
DORS/CLUC How to setup Kolab and Seafile as your personal secure data bank
DORS/CLUC How to setup Kolab and Seafile as your personal secure data bank
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Red Hat Ceph Storage Acceleration Utilizing Flash Technology
Host and Boast: Best Practices for Magento Hosting | Imagine 2013 Technolog…
Host and Boast: Best Practices for Magento Hosting | Imagine 2013 Technolog…
Recently uploaded
Discover the benefits of outsourcing SEO to India
"Discover the benefits of outsourcing SEO to India! From cost-effective services and expert professionals to round-the-clock work advantages, learn how your business can achieve digital success with Indian SEO solutions.
Bengaluru Dreamin' 24 - Personal Branding
Session on Personal Branding presented at Bengaluru Dreamin
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Md. Zobair Khan,
Network Analyst and Technical Trainer at APNIC, presented 'Securing BGP: Operational Strategies and Best Practices for Network Defenders' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
学校原件一模一样【微信：741003700 】《(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Should Repositories Participate in the Fediverse?
Presentation for OR2024 making the case that repositories could play a part in the "fediverse" of distributed social applications
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
USYD硕士毕业证成绩单【微信95270640】《如何办理悉尼大学毕业证认证》【办证Q微信95270640】《悉尼大学文凭毕业证制作》《USYD学历学位证书哪里买》办理悉尼大学学位证书扫描件、办理悉尼大学雅思证书！
国际留学归国服务中心《如何办悉尼大学毕业证认证》《USYD学位证书扫描件哪里买》实体公司，注册经营，行业标杆，精益求精！
如果您是以下情况，我们都能竭诚为您解决实际问题：【公司采用定金+余款的付款流程，以最大化保障您的利益，让您放心无忧】
1、在校期间，因各种原因未能顺利毕业，拿不到官方毕业证+微信95270640
2、面对父母的压力，希望尽快拿到悉尼大学悉尼大学毕业证offer；
3、不清楚流程以及材料该如何准备悉尼大学悉尼大学毕业证offer；
4、回国时间很长，忘记办理；
5、回国马上就要找工作，办给用人单位看；
6、企事业单位必须要求办理的；
面向美国乔治城大学毕业留学生提供以下服务:
【★悉尼大学悉尼大学毕业证offer毕业证、成绩单等全套材料，从防伪到印刷，从水印到钢印烫金，与学校100%相同】
【★真实使馆认证（留学人员回国证明），使馆存档可通过大使馆查询确认】
【★真实教育部认证，教育部存档，教育部留服网站可查】
【★真实留信认证，留信网入库存档，可查悉尼大学悉尼大学毕业证offer】
我们从事工作十余年的有着丰富经验的业务顾问，熟悉海外各国大学的学制及教育体系，并且以挂科生解决毕业材料不全问题为基础，为客户量身定制1对1方案，未能毕业的回国留学生成功搭建回国顺利发展所需的桥梁。我们一直努力以高品质的教育为起点，以诚信、专业、高效、创新作为一切的行动宗旨，始终把“诚信为主、质量为本、客户第一”作为我们全部工作的出发点和归宿点。同时为海内外留学生提供大学毕业证购买、补办成绩单及各类分数修改等服务；归国认证方面，提供《留信网入库》申请、《国外学历学位认证》申请以及真实学籍办理等服务，帮助众多莘莘学子实现了一个又一个梦想。
专业服务，请勿犹豫联系我
如果您真实毕业回国，对于学历认证无从下手，请联系我，我们免费帮您递交
诚招代理：本公司诚聘当地代理人员，如果你有业余时间，或者你有同学朋友需要，有兴趣就请联系我
你赢我赢，共创双赢
你做代理，可以帮助悉尼大学同学朋友
你做代理，可以拯救悉尼大学失足青年
你做代理，可以挽救悉尼大学一个个人才
你做代理，你将是别人人生悉尼大学的转折点
你做代理，可以改变自己，改变他人，给他人和自己一个机会过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元很
一比一原版新西兰林肯大学毕业证(Lincoln毕业证书)学历如何办理
原版办【微信号:95270640】【新西兰林肯大学毕业证(Lincoln毕业证书)】【微信号:95270640】《成绩单、外壳、雅思、offer、真实留信官方学历认证（永久存档/真实可查）》采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路）我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信号95270640】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信号95270640】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
HijackLoader Evolution: Interactive Process Hollowing
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
原版一模一样【微信：741003700 】【新西兰奥克兰大学毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
原版定制【微信:bwp0011】《(umiami毕业证书)美国迈阿密大学毕业证文凭证书》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
Adli Wahid, Senior Internet Security Specialist at APNIC, delivered a presentation titled 'Honeypots Unveiled: Proactive Defense Tactics for Cyber Security' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
学校原件一模一样【微信：741003700 】《(Vic毕业证书)惠灵顿维多利亚大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Recently uploaded (12)
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
Securing BGP: Operational Strategies and Best Practices for Network Defenders...
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...
StripeEu Twistedbytes Presentation
- 1. How to host a SilverStripe website. The right way.
- 2. This presentation ● About Twisted Bytes ● Basic Server Setup ● Silverstripe specifics ● From small to big
- 3. About us ● Hosting company without servers ● Helping developers ● Deliver your product → end-users ● Based in Enschede, The Netherlands ● Twitter: @twistedbytes_nl ● http://www.twistedbytes.nl
- 4. About me ● Developer → sysadmin ● Linux, run & maintain servers ● Know software dev & sys admin ● Twitter: @DerkGortemaker
- 5. Basic Webserver: Apache or Nginx Database: MySQL/MariaDB or PostgreSQL or MongoDB/NoSQL Runtime: PHP Access / Deployment Monitoring Backup server setup
- 6. Basic server setup ● Apache or Nginx ○ .htaccess is useful ● Time spent in webserver vs application Webserver: Apache or Nginx
- 7. Basic server setup ● MariaDB is good for most jobs ○ default in most distributions by now. ○ Easy to make an master-master ● Everything else needs a good reason Database: MySQL/MariaDB or PostgreSQL or MongoDB/NoSQL
- 8. Basic server setup ● Use PHP with php-fpm ○ Apache event MPM ● Enable opcode cache ● PHP 7 around the corner (end 2015) ○ silverstripe is not compatible :-( Runtime: PHP
- 9. Basic server setup ● HHVM could be a good choice ○ Busy site ○ 1 maybe 2 sites on a server ○ many cpu cores ● http://www.twistedbytes. nl/blog/php-vs-hhvm-silverstripe- english/ ● Runs Silverstripe ● PHP 7 is easier to maintain, HHVM Runtime: HHVM
- 10. Basic server setup ● FTP/SFTP ● SSH ○ mariaDB ssh tunnel ● GIT ○ capistrano ○ deploy.php Access / Deployment
- 11. Basic server setup ● As a service or “Home Grown” ● Local and Remote ● Metrics and Alerting ● Log Files Monitoring (sucks)
- 12. Basic server setup ● What is the worst that can happen? ● How to restore? ● Can you reach the backup? ● Can you rebuild the server? ● What to Backup? Backup
- 13. Silverstripe specifics ● php-fpm + opcache ● Give MariaDB memory ● Keep some memory free for Linux cache ● More memory = more FS and database caching ● More cores = more speed for busy sites ● Busy site: HHVM is an option
- 14. Silverstripe specifics ● silverstripe-cache ○ Files or MemCache ● What’s up with this: ○ Rewrite file every request, with lock? ○ zend_cache--- i18nZend_Translate_RailsYaml_Options ○ zend_cache---internal-metadatas--- i18nZend_Translate_RailsYaml_Options
- 15. Silverstripe specifics assets ● Scaling problem. ● Needs shared filesystem, none found yet ○ Glusterfs works, but slow ○ NFS works, but single point ○ Big NFS clusters are “expensive” ● Solved by silverstripe-cloudassets? ○ assets to S3 (or Swift)
- 16. Growth: small → big (1) ● What are you trying to solve? ○ Faster site ○ Survive a failure
- 17. Growth: small → big (2) ● What’s slowing down the site/page ○ Database ○ Profile code ■ Waiting ● Remote api ● Disk IO ● Xdebug + (win|k)cachegrind ● NewRelic / Blackfire
- 18. Growth: small → big (3) ● Simplest option = make the server bigger ● Split servers or add servers? ○ Split → multiple failure points ○ Add servers → more capacity ● At every level add failover
- 19. Growth: small → big (4) ● Caching ○ silverstripe-cache ■ silverstripe-staticpublishqueue ○ Varnish ○ Cloudflare / CDN
- 20. We like to hear from you! Want to learn about a better way to do hosting? Or have some ideas about what you are missing? Please contact us to exchange ideas. info@twistedbytes.nl