Deploy a serverless chat bot quick with Skygear
Alternative to AWS lambda - Skygear is also a quick way to write cloud functions.
Showing (and making) a Python based Chat bot quick with Skygear Cloud functions.
Drupal\mysql\Driver\Database\mysql\Connection::open() (Line: 460) Drupal\Core\Database\Database::openConnection() (Line: 191) Drupal\Core\Database\Database::getConnection() call_user_func_array() (Line: 77) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 226) Drupal\Component\DependencyInjection\PhpArrayContainer->resolveServicesAndParameters() (Line: 60) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 576) Drupal\Core\DrupalKernel->getCachedContainerDefinition() (Line: 966) Drupal\Core\DrupalKernel->initializeContainer() (Line: 515) Drupal\Core\DrupalKernel->boot() (Line: 739) Drupal\Core\DrupalKernel->handle() (Line: 19)
Drupal\mysql\Driver\Database\mysql\Connection::open() (Line: 460) Drupal\Core\Database\Database::openConnection() (Line: 191) Drupal\Core\Database\Database::getConnection() call_user_func_array() (Line: 77) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 226) Drupal\Component\DependencyInjection\PhpArrayContainer->resolveServicesAndParameters() (Line: 60) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 576) Drupal\Core\DrupalKernel->getCachedContainerDefinition() (Line: 966) Drupal\Core\DrupalKernel->initializeContainer() (Line: 515) Drupal\Core\DrupalKernel->boot() (Line: 739) Drupal\Core\DrupalKernel->handle() (Line: 19)
Drupal\mysql\Driver\Database\mysql\Connection::open() (Line: 460) Drupal\Core\Database\Database::openConnection() (Line: 191) Drupal\Core\Database\Database::getConnection() call_user_func_array() (Line: 77) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 226) Drupal\Component\DependencyInjection\PhpArrayContainer->resolveServicesAndParameters() (Line: 60) Drupal\Component\DependencyInjection\PhpArrayContainer->createService() (Line: 179) Drupal\Component\DependencyInjection\Container->get() (Line: 576) Drupal\Core\DrupalKernel->getCachedContainerDefinition() (Line: 966) Drupal\Core\DrupalKernel->initializeContainer() (Line: 515) Drupal\Core\DrupalKernel->boot() (Line: 739) Drupal\Core\DrupalKernel->handle() (Line: 19)
Here is a list of event, includes speaker session and other intermediate slots (e.g. lunch):
Alternative to AWS lambda - Skygear is also a quick way to write cloud functions.
Showing (and making) a Python based Chat bot quick with Skygear Cloud functions.
Genetic research takes an important role in the drive for more personalized medicine by providing a deeper look into the genetic makeup of various diseases.However, these data driven analysis require thousands of subjects, thus driving the cost into millions of US Dollars.
Flash Player with RMTP was the most popular streaming technology. As Flash is fading out, I am going to introduce how to replace it with Video.js player with HTTP Live Stream (HLS)
The idea of adopting multiple programming languages to build highly distributed applications is not new to anyone. We all been taught to use necessary toolkits to solve certain problems in the most efficient way. 12Factor concept helped us to understand how to shift from the monolithic applications to smaller functional units - microservices, with that we can extract the most critical pieces of code into a microservice that can be made natively fault-tolerant.
Apache Spark is one of the top big-data processing platforms and has driven the adoption of Scala in many industry and academic settings. As entire Apache Spark framework has been written in Scala as a base, it’s real pleasure to understand beauty of functional Scala DSL with Spark.
This talk is intent to present :