Erlang vs Ruby SOA Scheduling
•
1 like•811 views
What is the difference between the way Ruby and Erlang processes are scheduled? I explore the differences in latency and where this can lead to issues in industries like payments.
Report
Share
Report
Share
Download to read offline
Recommended
Mailerqnewpresentation
MailerQ is an MTA for sending large volumes of email quickly, flexibly and efficiently. It uses JSON encoded emails in a RabbitMQ queue to send messages from configurable IP addresses. Results are saved to a MySQL database and Couchbase can optionally store message bodies. The management console provides real-time performance metrics for messages, IPs and domains.
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.
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.
Capistrano
This document discusses how Capistrano can be used to automate deployments and other tasks across multiple servers. It provides examples of how Capistrano can be used for deploying code, updating databases, checking server health metrics, restarting services, and more. While originally designed for Ruby on Rails applications, Capistrano can be adapted for other languages and technologies as well by customizing the deployment recipes.
Scaling the Rails
This document discusses how a quiz application achieved high performance and scalability. It started with 30,000 concurrent users and 9 million page views per hour. To optimize, the developers analyzed logs, added indexing, eager loading, caching, bulk writes, master-slave replication, and load testing. They switched from Mongrel to Ebb web servers, seeing a 40% performance gain. Monitoring also revealed browser incompatibilities causing crashes, solved by switching from Nginx to Lighttpd. In total, optimizations led to a 25x performance gain and the ability to handle 5000 simultaneous users.
Basics of Node.js
Node.js is an open-source JavaScript runtime environment for building server-side web applications. It allows JavaScript code to be run on the server rather than in the browser. The document discusses the differences between Node.js and JavaScript, the Node Package Manager (NPM) for managing dependencies, Node.js commands like install and update, semantic versioning, the Node.js REPL for testing code, callbacks and promises for asynchronous programming, and core Node.js modules for working with the operating system and files.
Full Stack Load Testing
A talk I gave at the Boston Web Performance Meetup in August 2014.
Performance is one of the most challenging issues in modern web app design, in large part because modeling, testing, and validating performance before deploying to production is so challenging. While many ops teams have nailed down the problem of re-creating pre-production environments that closely mimic production, those environments frequently rely on known-good components beyond the application code itself: AWS ELB, F5 load balancers, CDNs, Varnish, and more.
Testing plug-in components like that can be challenging, because their performance characteristics don't directly align with application metrics.
- How many simultaneous users can my load balancer support? - What sort of network load will I put on my CDN (i.e., how much will it cost?) - How do different user behavior patterns affect performance?
In this meetup, we'll introduce a novel tool in this toolbox: tcpreplay, an open-source tool for replaying packet capture files back at an application. By replaying user traffic to a staging environment, you can test the effects of
- Network saturation to the load balancer - High numbers of users / IPs - Lots of traffic to your other monitoring tools!
Load Balancing with Apache
This is a presentation made at the Burlington, Vermont PHP Users Group about configuring load balancing using the Apache HTTP Server. Load balancing is a technique that can distribute work across multiple server nodes—here we will discuss load balancing HTTP (i.e. web) traffic. There are many software and hardware load balancing options available including HAProxy, Varnish, Pound, Perlbal, Squid, nginx, and Linux-HA (High-Availability Linux) on Linux Standard Base (LSB). However, many web developers are already familiar with Apache as a web server and it is relatively easy to also configure Apache as a load balancer.
Related concepts such as shared nothing architecture are discussed. We also take a look at some basic load balancing scenarios and features including sticky sessions and proxying requests based on HTTP method. Distributed load testing with Tsung is briefly discussed as well.
Recommended
Mailerqnewpresentation
MailerQ is an MTA for sending large volumes of email quickly, flexibly and efficiently. It uses JSON encoded emails in a RabbitMQ queue to send messages from configurable IP addresses. Results are saved to a MySQL database and Couchbase can optionally store message bodies. The management console provides real-time performance metrics for messages, IPs and domains.
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.
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.
Capistrano
This document discusses how Capistrano can be used to automate deployments and other tasks across multiple servers. It provides examples of how Capistrano can be used for deploying code, updating databases, checking server health metrics, restarting services, and more. While originally designed for Ruby on Rails applications, Capistrano can be adapted for other languages and technologies as well by customizing the deployment recipes.
Scaling the Rails
This document discusses how a quiz application achieved high performance and scalability. It started with 30,000 concurrent users and 9 million page views per hour. To optimize, the developers analyzed logs, added indexing, eager loading, caching, bulk writes, master-slave replication, and load testing. They switched from Mongrel to Ebb web servers, seeing a 40% performance gain. Monitoring also revealed browser incompatibilities causing crashes, solved by switching from Nginx to Lighttpd. In total, optimizations led to a 25x performance gain and the ability to handle 5000 simultaneous users.
Basics of Node.js
Node.js is an open-source JavaScript runtime environment for building server-side web applications. It allows JavaScript code to be run on the server rather than in the browser. The document discusses the differences between Node.js and JavaScript, the Node Package Manager (NPM) for managing dependencies, Node.js commands like install and update, semantic versioning, the Node.js REPL for testing code, callbacks and promises for asynchronous programming, and core Node.js modules for working with the operating system and files.
Full Stack Load Testing
A talk I gave at the Boston Web Performance Meetup in August 2014.
Performance is one of the most challenging issues in modern web app design, in large part because modeling, testing, and validating performance before deploying to production is so challenging. While many ops teams have nailed down the problem of re-creating pre-production environments that closely mimic production, those environments frequently rely on known-good components beyond the application code itself: AWS ELB, F5 load balancers, CDNs, Varnish, and more.
Testing plug-in components like that can be challenging, because their performance characteristics don't directly align with application metrics.
- How many simultaneous users can my load balancer support? - What sort of network load will I put on my CDN (i.e., how much will it cost?) - How do different user behavior patterns affect performance?
In this meetup, we'll introduce a novel tool in this toolbox: tcpreplay, an open-source tool for replaying packet capture files back at an application. By replaying user traffic to a staging environment, you can test the effects of
- Network saturation to the load balancer - High numbers of users / IPs - Lots of traffic to your other monitoring tools!
Load Balancing with Apache
This is a presentation made at the Burlington, Vermont PHP Users Group about configuring load balancing using the Apache HTTP Server. Load balancing is a technique that can distribute work across multiple server nodes—here we will discuss load balancing HTTP (i.e. web) traffic. There are many software and hardware load balancing options available including HAProxy, Varnish, Pound, Perlbal, Squid, nginx, and Linux-HA (High-Availability Linux) on Linux Standard Base (LSB). However, many web developers are already familiar with Apache as a web server and it is relatively easy to also configure Apache as a load balancer.
Related concepts such as shared nothing architecture are discussed. We also take a look at some basic load balancing scenarios and features including sticky sessions and proxying requests based on HTTP method. Distributed load testing with Tsung is briefly discussed as well.
Go performance tooling
Tech talk about performance tools provided with standard go distribution given at go meetup group in Seattle,
http://www.meetup.com/golang/events/231455969/
3.2 Streaming and Messaging
Xin Wang(Apache Storm Committer/PMC member)'s topic covered the relations between streaming and messaging platform, and the challenges and tips in Storm usage.
promgen - prometheus managemnet tool / simpleclient_java hacks @ Prometheus c...
Promgen is a Prometheus management tool that allows web-based management of server configurations and alerting rules. It addresses the need for an easier way to manage Prometheus server configurations than manually editing YAML files. Promgen stores configuration data in a MySQL database and generates YAML files from the stored configurations. It aims to provide a simple interface for configuring Prometheus exporters, ports, alerts and other settings across multiple servers and projects.
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.
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.
Solving some of the scalability problems at booking.com
This document summarizes how Booking.com solved scalability issues with their Event Graphite Processor (EGP) system. The EGP processes large volumes of event data to generate metrics but was limited by high RAM usage. A new approach was developed that uses event streaming and parallelization, reducing processing time from over 120 seconds to 80 seconds while using much less RAM. This was achieved through a hackathon that rewrote 260 monitors in one day. The new system uses 56-core servers, processes events in parallel groups, and requires only 500MB of RAM compared to the previous 15GB.
Extending functionality in nginx, with modules!
A presentation about module-writing for nginx.
Example code can be found at github: https://github.com/kvisle/nginx_module_samples
Benchmarking distributed tracers
This presentation compares the performance overhead of integrating distributed tracers as part of your web infrastructure.
Benchmarking for HTTP/2
This document discusses benchmarking HTTP/2 using the h2load tool. It provides examples of using h2load to test various HTTP/2 configurations and protocols. The document also summarizes several experiments comparing performance of HTTP/2 with different settings, such as with or without domain sharding, combo handling, and different servers like ATS and nghttpx. It concludes that we need to consider server capacity for HTTP/2 deployments and that h2load is not perfect, providing opportunities for contribution.
Introduction to performance tuning perl web applications
This document provides an introduction to performance tuning Perl web applications. It discusses identifying performance bottlenecks, benchmarking tools like ab and httperf to measure performance, profiling tools like Devel::NYTProf to find where time is spent, common causes of slowness like inefficient database queries and lack of caching, and approaches for improvement like query optimization, caching, and infrastructure changes. The key messages are that performance issues are best identified through measurement and profiling, database queries are often the main culprit, and caching can help but adds complexity.
Application Caching: The Hidden Microservice (SAConf)
Presentation given at the O'Reilly Software Architecture Conference in San Francisco on November 15, 2016.
Self Created Load Balancer for MTA on AWS
This document summarizes the creation of a self-managed load balancer on AWS to distribute mail traffic across multiple mail gateway servers. It describes the existing mail system architecture, the need for a load balancer due to traffic volume limitations, and the technical implementation using Linux Virtual Server (LVS) and keepalived for load balancing and iptables for network address translation (SNAT) to support load balancing of SMTP traffic. The results were an increased ability to scale mail gateway servers elastically and observe traffic patterns from email services like Google Apps. A note of caution is provided about network bandwidth limitations based on the EC2 instance type used for the load balancer.
Kubernetes at Datadog the very hard way
This presentation describes the challenges we faced building, scaling and operating a Kubernetes cluster of more than 1000 nodes to host the Datadog applications
Micro services infrastructure with AWS and Ansible
The document summarizes the process of migrating a legacy monolithic codebase to a microservices architecture on AWS using Ansible for configuration management and continuous delivery. Some key points:
- The legacy codebase had issues like slow performance, high maintenance costs, and difficulty developing new features.
- A strangler pattern was used to gradually introduce microservices in front of the existing monolith. Teams were reorganized around microservices.
- AWS services like EC2, ELB, Auto Scaling were used to host the microservices. Ansible provisioned and deployed the services.
- Challenges included managing complexity, service discovery, resizing load balancers, deployment time, and keeping Ansible configurations up to
Windows Azure Service Bus
This document provides an overview of Microsoft Azure Service Bus and compares it to Azure Queues. Service Bus allows applications and services to communicate over reliable messaging even if they are not connected all the time. It supports queuing and publish/subscribe capabilities. Service Bus Queues offer more features than Azure Queues, including larger message sizes, unlimited time-to-live for messages, and publish/subscribe capabilities using topics and subscriptions. The document also describes how to configure applications to use Service Bus Queues and Relay for communication between apps and services.
Load Balancing with Nginx
Nginx is a popular tool for load balancing and caching. It offers high performance, reliability and flexibility for load balancing through features like upstream modules, health checks, and request distribution methods. It can also improve response times and handle traffic spikes through caching static content and supporting techniques like stale caching.
Apache
This document discusses various aspects of configuring and running the Apache web server. It describes the different multi-processing modules (MPMs) used by Apache like Prefork and Worker, how to configure directives for each MPM, running Apache as a single or multiple instances, hosting multiple websites using virtual hosts, common gateway interface (CGI) scripting, SSL/TLS configuration including SSL virtual hosts and server name indication (SNI).
A Heart Rate Validating Admission Webhook
A talk presented by Tom Gallacher @ Container Camp Super Meetup 2018 on the 28th August 2018 in London.
EVCache & Moneta (GoSF)
Presentation given at the GoSF meetup on July 20, 2016. It was also recorded on BigMarker here: https://www.bigmarker.com/remote-meetup-go/GoSF-EVCache-Peripheral-I-O-Building-Origin-Cache-for-Images
Integrating Puppet with Cloud Infrastructures-Remco Overdijk
This document discusses automating cloud infrastructure using Puppet. It begins by describing issues with traditional single server infrastructure like limited scalability and redundancy. It then introduces using tools like AWS, Puppet, and Terraform to provision infrastructure in the cloud with improved scalability, isolation, and zero-downtime deployments. It discusses using Puppet and Terraform to define and provision AWS resources declaratively. It also covers bootstrapping Puppet onto new instances using techniques like autosigning, ENCs, Hiera lookups, AWS user data, and Cloud-init to automate configuration. The document concludes with a demonstration of provisioning a stack of web servers on AWS using Terraform and Puppet.
Enabling Reasoning with LegalRuleML
The document discusses LegalRuleML, a rule interchange language proposed by OASIS to model legal rules and regulations. It extends RuleML with features for the legal domain like modeling normative effects and resolving conflicts. The document proposes mapping LegalRuleML constructs like statements for constitutive rules, prescriptive rules, etc. to modal defeasible logic (MDL) which can handle contrary-to-duty obligations. This mapping allows reasoning with LegalRuleML rules using the proof theory of MDL.
More Related Content
What's hot
Go performance tooling
Tech talk about performance tools provided with standard go distribution given at go meetup group in Seattle,
http://www.meetup.com/golang/events/231455969/
3.2 Streaming and Messaging
Xin Wang(Apache Storm Committer/PMC member)'s topic covered the relations between streaming and messaging platform, and the challenges and tips in Storm usage.
promgen - prometheus managemnet tool / simpleclient_java hacks @ Prometheus c...
Promgen is a Prometheus management tool that allows web-based management of server configurations and alerting rules. It addresses the need for an easier way to manage Prometheus server configurations than manually editing YAML files. Promgen stores configuration data in a MySQL database and generates YAML files from the stored configurations. It aims to provide a simple interface for configuring Prometheus exporters, ports, alerts and other settings across multiple servers and projects.
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.
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.
Solving some of the scalability problems at booking.com
This document summarizes how Booking.com solved scalability issues with their Event Graphite Processor (EGP) system. The EGP processes large volumes of event data to generate metrics but was limited by high RAM usage. A new approach was developed that uses event streaming and parallelization, reducing processing time from over 120 seconds to 80 seconds while using much less RAM. This was achieved through a hackathon that rewrote 260 monitors in one day. The new system uses 56-core servers, processes events in parallel groups, and requires only 500MB of RAM compared to the previous 15GB.
Extending functionality in nginx, with modules!
A presentation about module-writing for nginx.
Example code can be found at github: https://github.com/kvisle/nginx_module_samples
Benchmarking distributed tracers
This presentation compares the performance overhead of integrating distributed tracers as part of your web infrastructure.
Benchmarking for HTTP/2
This document discusses benchmarking HTTP/2 using the h2load tool. It provides examples of using h2load to test various HTTP/2 configurations and protocols. The document also summarizes several experiments comparing performance of HTTP/2 with different settings, such as with or without domain sharding, combo handling, and different servers like ATS and nghttpx. It concludes that we need to consider server capacity for HTTP/2 deployments and that h2load is not perfect, providing opportunities for contribution.
Introduction to performance tuning perl web applications
This document provides an introduction to performance tuning Perl web applications. It discusses identifying performance bottlenecks, benchmarking tools like ab and httperf to measure performance, profiling tools like Devel::NYTProf to find where time is spent, common causes of slowness like inefficient database queries and lack of caching, and approaches for improvement like query optimization, caching, and infrastructure changes. The key messages are that performance issues are best identified through measurement and profiling, database queries are often the main culprit, and caching can help but adds complexity.
Application Caching: The Hidden Microservice (SAConf)
Presentation given at the O'Reilly Software Architecture Conference in San Francisco on November 15, 2016.
Self Created Load Balancer for MTA on AWS
This document summarizes the creation of a self-managed load balancer on AWS to distribute mail traffic across multiple mail gateway servers. It describes the existing mail system architecture, the need for a load balancer due to traffic volume limitations, and the technical implementation using Linux Virtual Server (LVS) and keepalived for load balancing and iptables for network address translation (SNAT) to support load balancing of SMTP traffic. The results were an increased ability to scale mail gateway servers elastically and observe traffic patterns from email services like Google Apps. A note of caution is provided about network bandwidth limitations based on the EC2 instance type used for the load balancer.
Kubernetes at Datadog the very hard way
This presentation describes the challenges we faced building, scaling and operating a Kubernetes cluster of more than 1000 nodes to host the Datadog applications
Micro services infrastructure with AWS and Ansible
The document summarizes the process of migrating a legacy monolithic codebase to a microservices architecture on AWS using Ansible for configuration management and continuous delivery. Some key points:
- The legacy codebase had issues like slow performance, high maintenance costs, and difficulty developing new features.
- A strangler pattern was used to gradually introduce microservices in front of the existing monolith. Teams were reorganized around microservices.
- AWS services like EC2, ELB, Auto Scaling were used to host the microservices. Ansible provisioned and deployed the services.
- Challenges included managing complexity, service discovery, resizing load balancers, deployment time, and keeping Ansible configurations up to
Windows Azure Service Bus
This document provides an overview of Microsoft Azure Service Bus and compares it to Azure Queues. Service Bus allows applications and services to communicate over reliable messaging even if they are not connected all the time. It supports queuing and publish/subscribe capabilities. Service Bus Queues offer more features than Azure Queues, including larger message sizes, unlimited time-to-live for messages, and publish/subscribe capabilities using topics and subscriptions. The document also describes how to configure applications to use Service Bus Queues and Relay for communication between apps and services.
Load Balancing with Nginx
Nginx is a popular tool for load balancing and caching. It offers high performance, reliability and flexibility for load balancing through features like upstream modules, health checks, and request distribution methods. It can also improve response times and handle traffic spikes through caching static content and supporting techniques like stale caching.
Apache
This document discusses various aspects of configuring and running the Apache web server. It describes the different multi-processing modules (MPMs) used by Apache like Prefork and Worker, how to configure directives for each MPM, running Apache as a single or multiple instances, hosting multiple websites using virtual hosts, common gateway interface (CGI) scripting, SSL/TLS configuration including SSL virtual hosts and server name indication (SNI).
A Heart Rate Validating Admission Webhook
A talk presented by Tom Gallacher @ Container Camp Super Meetup 2018 on the 28th August 2018 in London.
EVCache & Moneta (GoSF)
Presentation given at the GoSF meetup on July 20, 2016. It was also recorded on BigMarker here: https://www.bigmarker.com/remote-meetup-go/GoSF-EVCache-Peripheral-I-O-Building-Origin-Cache-for-Images
Integrating Puppet with Cloud Infrastructures-Remco Overdijk
This document discusses automating cloud infrastructure using Puppet. It begins by describing issues with traditional single server infrastructure like limited scalability and redundancy. It then introduces using tools like AWS, Puppet, and Terraform to provision infrastructure in the cloud with improved scalability, isolation, and zero-downtime deployments. It discusses using Puppet and Terraform to define and provision AWS resources declaratively. It also covers bootstrapping Puppet onto new instances using techniques like autosigning, ENCs, Hiera lookups, AWS user data, and Cloud-init to automate configuration. The document concludes with a demonstration of provisioning a stack of web servers on AWS using Terraform and Puppet.
What's hot (20)
promgen - prometheus managemnet tool / simpleclient_java hacks @ Prometheus c...
promgen - prometheus managemnet tool / simpleclient_java hacks @ Prometheus c...
Solving some of the scalability problems at booking.com
Solving some of the scalability problems at booking.com
Introduction to performance tuning perl web applications
Introduction to performance tuning perl web applications
Application Caching: The Hidden Microservice (SAConf)
Application Caching: The Hidden Microservice (SAConf)
Micro services infrastructure with AWS and Ansible
Micro services infrastructure with AWS and Ansible
Integrating Puppet with Cloud Infrastructures-Remco Overdijk
Integrating Puppet with Cloud Infrastructures-Remco Overdijk
Viewers also liked
Enabling Reasoning with LegalRuleML
The document discusses LegalRuleML, a rule interchange language proposed by OASIS to model legal rules and regulations. It extends RuleML with features for the legal domain like modeling normative effects and resolving conflicts. The document proposes mapping LegalRuleML constructs like statements for constitutive rules, prescriptive rules, etc. to modal defeasible logic (MDL) which can handle contrary-to-duty obligations. This mapping allows reasoning with LegalRuleML rules using the proof theory of MDL.
허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔
허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션『LG777』.『XYZ』바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션//BU797。СΟΜ//바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션『BU797』.『COM』바르셀로나호텔//허니문펜션//LG77。XYZ//바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔//허니문펜션＼【 FUN88。CO。ＫＲ】＼바르셀로나호텔
LR World Ιούλιος 2016 GR-CY
Σε αυτό το LRworld μπορείτε να απολαύσετε τις υπέροχες προσφορές του καλοκαιριού από την LR Health & Beauty.
Eάν θέλετε να μάθετε περισσότερες πληροφορίες ή πως θα μπορείτε να προμηθευτείτε κάποια από τα προϊόντα μας μπορούμε να σας εξηγήσουμε να τα πάρετε με τον πιο οικονομικό τρόπο.
Πληροφορίες ελάτε σε επαφή με τον Στέφανο:
Email: s.andreou92@gmail.com
Facebook: Stefanos Alas
Linkedin: Stefanos Andreou
Make a Sign Speak Any Language, by Kenji Takaoka, QR Translator
QR Translator provides users an interface to be able to easily handle translated texts and speech data in a single ID, as a qr code, being linked to designated locations. Our business model is flexibly set up in order to collaborate with both machine and human translation providers, and to adjust to any kind of technological development we can expect in the near future.
Examining Factors of Customer Experience: An Empirical Study of Flipkart.com
This document summarizes a research paper that examines factors influencing customer experience on Flipkart.com, an Indian e-commerce retailer. The paper reviews literature on customer experience, identifies five key areas (physical environment, service delivery, employees, back office support, other customers), and surveys 163 Flipkart users. The study finds these five factors significantly determine customer satisfaction, loyalty, and word-of-mouth behavior after purchases. The paper aims to identify areas Flipkart is meeting expectations and needs improvement to enhance the customer experience.
RuleML 2015 Constraint Handling Rules - What Else?
Constraint Handling Rules (CHR) is both a versatile theoretical formalism based on logic and an efficient practical high-level programming language based on rules and constraints.
Procedural knowledge is often expressed by if-then rules, events and actions are related by reaction rules, change is expressed by update rules. Algorithms are often specified using inference rules, rewrite rules, transition rules, sequents, proof rules, or logical axioms. All these kinds of rules can be directly written in CHR. The clean logical semantics of CHR facilitates non-trivial program analysis and transformation. About a dozen implementations of CHR exist in Prolog, Haskell, Java, Javascript and C. Some of them allow to apply millions of rules per second. CHR is also available as WebCHR for online experimentation with more than 40 example programs. More than 200 academic and industrial projects worldwide use CHR, and about 2000 research papers reference it.
Boletim informativo - janeiro
O documento resume as atividades realizadas nas bibliotecas escolares do Agrupamento de Escolas Dr. Júlio Martins no mês de janeiro de 2016, incluindo uma ação de formação sobre leitura em voz alta, visitas dos alunos do 1o ano à biblioteca municipal, sessões de saúde oral para alunos e pais, e a primeira fase do Concurso Nacional de Leitura.
Addresschic-slideshare
Veganism refers to a lifestyle that excludes all animal products. The document discusses the benefits of a vegan lifestyle, including better health, environmental sustainability, and animal welfare. It provides examples of vegan clothing, beauty products, shoes, food and luxury items. Famous vegans like Stella McCartney and Pamela Anderson are mentioned. Overall the document promotes adopting a cruelty-free vegan lifestyle.
Viewers also liked (9)
Make a Sign Speak Any Language, by Kenji Takaoka, QR Translator
Make a Sign Speak Any Language, by Kenji Takaoka, QR Translator
Examining Factors of Customer Experience: An Empirical Study of Flipkart.com
Examining Factors of Customer Experience: An Empirical Study of Flipkart.com
RuleML 2015 Constraint Handling Rules - What Else?
RuleML 2015 Constraint Handling Rules - What Else?
Similar to Erlang vs Ruby SOA Scheduling
Alternative Infrastucture
The document discusses using alternative infrastructures like Nginx and Redis instead of traditional Apache and MySQL. It describes building a Twitter clone called "Retwis" using Sinatra and Redis, and compares the performance of Nginx to Apache when serving static and dynamic content. Nginx generally outperforms Apache, especially for static files, due to its asynchronous and event-based architecture avoiding context switches. Load testing revealed issues with current practices for MySQL dumps and load testing that do not properly simulate high concurrency or isolate variables.
Evented Ruby VS Node.js
This document discusses evented programming in Node.js and Ruby. It explains that evented programming uses callbacks and asynchronous non-blocking I/O. Node.js uses this approach to improve concurrency over blocking I/O models. Ruby can also implement evented programming using libraries like EventMachine that provide asynchronous abstractions while keeping app code procedural. The document provides examples of building evented applications in both languages.
HBaseCon2017 gohbase: Pure Go HBase Client
gohbase is an implementation of an HBase client in pure Go: https://github.com/tsuna/gohbase. In this presentation we'll talk about its architecture and compare its performance against the native Java HBase client as well as AsyncHBase (http://opentsdb.github.io/asynchbase/) and some nice characteristics of golang that resulted in a simpler implementation.
slides (PPT)
The document proposes a secure and high-performance web server system called Hi-sap. Hi-sap divides web objects into partitions and runs server processes under different user privileges for each partition. This achieves security by preventing scripts in one partition from accessing others. It also improves performance by pooling server processes to fully utilize embedded interpreters, unlike prior systems. The document outlines Hi-sap's design, implementation on Linux with SELinux, and evaluation showing its high performance and scalability compared to alternative approaches.
Pg conf 2017 HIPAA Compliant and HA DB architecture on AWS
The document describes ClearCare's migration of their PostgreSQL database architecture to AWS to meet scalability, availability, automation, and HIPAA compliance requirements. Key aspects included setting up a multi-AZ deployment with streaming replication for high availability, auto scaling read replicas, automated backups to EBS snapshots, role-based access control with LDAP, encryption of data at rest and in transit, and centralized logging and auditing for compliance. The new architecture provides improved performance, security, automation, and a cost-effective solution to support ClearCare's growing business needs.
High Availability for OpenStack
The primary requirements for OpenStack based clouds (public, private or hybrid) is that they must be massively scalable and highly available. There are a number of interrelated concepts which make the understanding and implementation of HA complex. The potential for not implementing HA correctly would be disastrous.
This session was presented at the OpenStack Meetup in Boston Feb 2014. We discussed interrelated concepts as a basis for implementing HA and examples of HA for MySQL, Rabbit MQ and the OpenStack APIs primarily using Keepalived, VRRP and HAProxy which will reinforce the concepts and show how to connect the dots.
2010-04-13 Reactor Pattern & Event Driven Programming 2
The document discusses the Reactor Pattern and Event-Driven Programming using EventMachine and Thin as examples. It provides an overview of how Thin and EventMachine work together using the Reactor Pattern to provide scalable concurrent networking. Key aspects covered include how EventMachine acts as a reactor that handles events asynchronously using threads, and how Thin integrates with EventMachine by registering request handlers and processing requests concurrently.
Startups to Scale
The author describes several steps they took to scale their early stage startup as traffic increased:
1) They initially misconfigured their web server and database to use too much RAM, slowing performance, but easily fixed it.
2) As traffic increased, keeping HTTP connections open for a long time ("keepalive") exhausted server resources, so they disabled it.
3) Caching database data and rendered HTML on disk with Perl's Cache::FileCache helped improve performance.
4) Switching from MySQL to flat file storage using Perl's Tie::File improved performance for small data. BerkeleyDB was even faster.
5) Separating static content like images onto a different server improved concurrency.
WebCamp 2016: PHP.Алексей Петров.PHP at Scale: System Architect Toolbox
WebCamp 2016: PHP.Алексей Петров.PHP at Scale: System Architect Toolbox
Website: http://webcamp.in.ua/devops.html#theme
Facebook: https://www.facebook.com/WebCamp/
VK: https://vk.com/webcamp
Twitter: https://twitter.com/WebCampOdessa
Youtube: http://bit.ly/2bsQ0LO
Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Reactive programming is a phenomenal idea, but it's not always achievable "all the way down" in practice. In the real world, one rarely writes entire platforms from scratch and even then, one often needs to integrate with third-party applications that are blocking, stateful, and seem to violate nearly every reactive principle. In my talk, I will explain how Akka is still ideally suited to handle the integration of such systems into both reactive and non-reactive JVM code.
To illustrate the above claims, I will talk about Alpine Data Labs' JVM-R integration. Calls to the R language runtime to perform a data science computation are blocking given the constraints of R itself. Sessions have to be maintained since many messages have to be sent per R session (populating the R heap with DTOs, sending the script to be executed, etc.), and each actor can hold a TCP connection to a single R runtime. R is very prone to failure, be it due to poor memory management, dynamically typed, buggy user code, segmentation faults in native R packages, etc. I will show how Akka can handle all of these problems in a graceful manner to help integrate a faulty, non-engineering grade technology like R into a JVM enterprise application.
Woo: Writing a fast web server @ ELS2015
Eitaro Fukamachi presented on writing the fast web server Woo in Common Lisp. He discussed three tactics for achieving speed: using a multithreaded event-driven architecture instead of prefork, developing a fast HTTP parser instead of regular expressions, and using the libev event library. Benchmarks showed Woo was 1.6 times faster than Node.js. The goal was to create the fastest HTTP server in Common Lisp.
Apache samza past, present and future
The document provides an overview of Apache Samza, including its key differentiators and future plans. It discusses Samza's performance advantages from using local state instead of remote databases. Samza allows stateful stream processing and incremental checkpointing for applications with terabytes of state. It supports a variety of input sources, processing as a service on YARN or embedded as a library. Upcoming features include a high-level API, support for event time windows, pipelines, and exactly-once processing while auto-scaling local state.
Php assíncrono com_react_php
1. The document discusses asynchronous programming in PHP using ReactPHP and compares it to Node.js. It covers non-blocking I/O, event loops, and the reactor pattern.
2. Examples of when to use ReactPHP/Node.js include for chat applications, APIs, queued input, data streaming, proxies, and monitoring. Relational databases and CPU-intensive tasks are given as examples of when not to use them.
3. Differences between Node.js and ReactPHP mentioned include Node.js having more packages/libraries while PHP is more compatible with existing backend code. Node.js is also described as more mature while PHP has better OOP support.
Deployment de Rails
This document discusses deployment strategies for Rails applications. It describes using Nginx as a front-end HTTP server with Mongrel as the application server. Capistrano is recommended for deployment automation. Caching at the page, action and fragment level with Memcached is also covered as a strategy for improving performance. Challenges discussed include Ruby threading and memory management issues, as well as integrating C extensions and ensuring interoperability. Installation details are provided for deploying a Rails app with Passenger on Apache. Benchmarks are mentioned comparing Mongrel, Thin and Passenger.
Where is my scalable api?
Initially delivered at LA RubyConf 2013, this presentation describes how cutting-edge technology helped to triple performance and drastically cut costs in a mobile social game. Juan Pablo Genovese, a Ruby Architect from Altoros Systems Argentina, explains how, despite the extremely tight budget, the customer managed to:
- go from ~450 req/s to ~1300 req/s
- reduce the number of EC2 application servers from four to one
- provide fast and reliable video uploading and processing
- achieve very easy scaling with automation
while maintaining all the functions of the original RoR app.
Perfomance tuning on Go 2.0
This document discusses performance tuning of a continuous integration/delivery pipeline system built using Go and related tools. It describes problems the system was having with slow page loads, long job queues, rescheduling jobs, and timeouts. Profiling revealed thread blocking and database connection issues as culprits. Solutions introduced included caching, query tuning, locking optimizations, and JRuby/Rails configuration tweaks to reduce memory usage and lock contention. The results were a system with fast response times and high concurrency.
PyCon US 2012 - Web Server Bottlenecks and Performance Tuning
The document discusses web server performance bottlenecks and tuning. It notes that the majority of end-user response time is spent on the frontend. It then examines factors that affect web server performance like memory usage, processes vs threads, client impacts, and application requirements. Specific techniques are suggested for improving performance like using processes over threads, isolating slow clients with Nginx, preloading applications, and monitoring servers.
DevoxxUK: Optimizating Application Performance on Kubernetes
Now that you have your apps running on K8s, wondering how to get the response time that you need ? Tuning a polyglot set of microservices to get the performance that you need can be challenging in Kubernetes. The key to overcoming this is observability. Luckily there are a number of tools such as Prometheus that can provide all the metrics you need, but here is the catch, there is so much of data and metrics that is difficult make sense of it all. This is where Hyperparameter tuning can come to the rescue to help build the right models.
This talk covers best practices that will help attendees
1. To understand and avoid common performance related problems.
2. Discuss observability tools and how they can help identify perf issues.
3. Look closer into Kruize Autotune which is a Open Source Autonomous Performance Tuning Tool for Kubernetes and where it can help.
Lets build-ruby-app-server: Vineet tyagi
Would you like to know how to build an application server from scratch? This talk would provide an insight to the thought process and the key decisions made while building WebROaR from grounds up using C & Ruby.
What enables this server to deliver high performance and also offer a rich bouquet of integrated features like Analytics, Exception Notifications etc? If gaining knowledge about design of a good software product interests you, do join us for this interactive session.
Functional? Reactive? Why?
How modern processors and OS kernel work and why we need new approaches. Reactive revolution kills thread model.
Similar to Erlang vs Ruby SOA Scheduling (20)
Pg conf 2017 HIPAA Compliant and HA DB architecture on AWS
Pg conf 2017 HIPAA Compliant and HA DB architecture on AWS
2010-04-13 Reactor Pattern & Event Driven Programming 2
2010-04-13 Reactor Pattern & Event Driven Programming 2
WebCamp 2016: PHP.Алексей Петров.PHP at Scale: System Architect Toolbox
WebCamp 2016: PHP.Алексей Петров.PHP at Scale: System Architect Toolbox
Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
Integrating R and the JVM Platform - Alpine Data Labs' R Execute Operator
PyCon US 2012 - Web Server Bottlenecks and Performance Tuning
PyCon US 2012 - Web Server Bottlenecks and Performance Tuning
DevoxxUK: Optimizating Application Performance on Kubernetes
DevoxxUK: Optimizating Application Performance on Kubernetes
Recently uploaded
How to write a program in any programming language
How to write a program in any programming language
What is Master Data Management by PiLog Group
PiLog Group's Master Data Record Manager (MDRM) is a sophisticated enterprise solution designed to ensure data accuracy, consistency, and governance across various business functions. MDRM integrates advanced data management technologies to cleanse, classify, and standardize master data, thereby enhancing data quality and operational efficiency.
E-commerce Application Development Company.pdf
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Using Xen Hypervisor for Functional Safety
An update on making Xen hypervisor functionally safe and enhancing its usage in automotive and industrial use cases
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Microservice Teams - How the cloud changes the way we work
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
E-commerce Development Services- Hornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Empowering Growth with Best Software Development Company in Noida - Deuglo
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers. This video you can watch from my youtube channel at https://youtu.be/m-F-mZA3MkU
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【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
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Using Query Store in Azure PostgreSQL to Understand Query Performance
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise EditionEnvertis Software Solutions
Odoo ERP software
Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Charla impartida en el evento de "KuberTENes Birthday Bash Guadalajara" para celebrar el 10mo. aniversario de Kubernetes #kuberTENes #celebr8k8s #k8s
Recently uploaded (20)
How to write a program in any programming language
How to write a program in any programming language
Microservice Teams - How the cloud changes the way we work
Microservice Teams - How the cloud changes the way we work
Empowering Growth with Best Software Development Company in Noida - Deuglo
Empowering Growth with Best Software Development Company in Noida - Deuglo
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers.pptx
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Using Query Store in Azure PostgreSQL to Understand Query Performance
Using Query Store in Azure PostgreSQL to Understand Query Performance
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Erlang vs Ruby SOA Scheduling
- 1. Erlang vs Ruby Preemptive Scheduling
- 2. Ruby Virtual Machine: YARV Application Server: Phusion Passenger Web Server: Nginx Server: Digital Ocean 2 cores and 2 GB RAM
- 3. Erlang Virtual Machine: BEAM Web Server: Cowboy Server: Digital Ocean 2 cores and 2 GB RAM
- 4. Basic Architecture Server Apache Benchmark HTTP AUTH Hello, Alladin! 5’ Processing
- 5. SOA Architecture Ruby Server Apache Benchmark HTTP AUTH Hello, Alladin! Ruby Service Req Resp
- 6. 50 concurrent requests Erlang Ruby ab -n 50 -c 50 -A “username:password” <server>
- 7. Discussion Erlang response time approx. constant Ruby response time increasing (~900 ms / req)
- 8. Scheduling: Erlang (BEAM) Preemptive Scheduling Runs 2000 reductions and then processes the next task “In computing, preemption is the act of temporarily interrupting a task being carried out by a computer system, without requiring its cooperation, and with the intention of resuming the task at a later time. Such a change is known as a context switch. It is normally carried out by a privileged task or part of the system known as a preemptive scheduler, which has the power to preempt, or interrupt, and later resume, other tasks in the system.” https://en.wikipedia. org/wiki/Preemption_(computing) Light weight processes Runs each process as a thread, allowing for a plethora of processes.
- 9. Scheduling: Ruby (YARV) One Thread per Process passenger_thread_count “The default value is 1.” This value can be increased in the Enterprise version Most Ruby servers are running one thread per process
- 10. Conclusions Ruby requires horizontal scaling Ruby requires tuning Erlang can handle scaling Erlang handles these problems by default Payment providers with a fixed amount of cores should use Erlang