This tutorial shows you how to deployPega Platform on Google Cloud. You'll find this tutorial useful if you'rea sysadmin, developer, or engineer who's interested in the details of thedeployment process.
At the end of this tutorial, you'll have a Pega cluster with a singleCloud SQL for PostgreSQL instance and three clusteredCompute Engine application virtual machines (VMs) fronted byCloud Load Balancing for web traffic. All SQL connections are made by usingCloud SQL Proxy.This tutorial uses the us-central1 region for the Pega deployment.
The following products are used in this tutorial. If you use differentversions of these products, you might need to make adjustments to the scriptsand commands that are referenced in this tutorial and in the repositories.
You use Cloud Shell for all of the terminal commands in this tutorial.When you finish this tutorial, you can avoid continued billing by deleting theresources that you created. SeeCleaning up for more detail.
In this section, you make default settings for values that are used throughoutthe tutorial, like region and zone. In this tutorial, you use us-central1 asthe default region and us-central1-b as the default zone.
Set an environment variable to hold the name of theCloud Storage bucket that you create later in this tutorial. For[BUCKET_NAME], substitute your own name. Follow the rulesfor Cloud Storage bucket names. For details, see thebucket naming guidelines.
You must create some firewall rules to allow traffic to and from theapplication servers that you create. Later in this tutorial, you attach thepega-app network tag to your VMs and then configure your firewall rulesaccordingly.
In this tutorial, you use the n1-standard-2 machine type, which has 2 vCPUsand 7.5 GB of RAM. For more information, see thedocumentation on Google Cloud machine types. Adjust your settings accordingly, depending on the requirements of yourenvironment.
To avoid incurring charges to your Google Cloud account for the resources used in this tutorial, either delete the project that contains the resources, or keep the project and delete the individual resources.
In this tutorial we are going to experiment with the Web Speech API. It's a very powerful browser interface that allows you to record human speech and convert it into text. We will also use it to do the opposite - reading out strings in a human-like voice.
great tutorial and library thank you so much for it, but actually i have problem when recognizing languages other than English have you made this library to work with other languages.my case: i am trying to recognize Arabic and turn an Arabic speech to text but the Arabic written in English letters and that is not correct
Through ServiceNow, IT companies can work with all the departments on a platform to save both money and time. This makes the future with ServiceNow a safe profile for new job aspirants. So, individuals who want to build a career on the ServiceNow Platform can enroll in our ServiceNow Online Training. As per Indeed.com, the average salary for ServiceNow jobs in the US is around $105K per annum. In this ServiceNow tutorial, you will learn everything you require to get started with the ServiceNow platform. Before we start, let us have a look at what we will be discussing in this article:
In this ServiceNow tutorial, you will learn different aspects like what is ServiceNow, ServiceNow installation, ServiceNow development, ServiceNow configuration, ServiceNow administration. It goes into the details of ITIL, Configuring users and groups, ServiceNow scripting, and creating applications. So, through this ServiceNow tutorial, you will get an in-depth understanding of ServiceNow concepts.
The NWS has developed a program called degrib that can output NDFD data encoded in DWML. Degrib is a C program that allows you to visualize NDFD GRIB2 data and convert these binary files into other formats. If you are a web service user who wants DWML-encoded data for a large number of NDFD points, degrib will allow you to move the DWML-encoding process to your computer. By using degrib to process the NDFD data on a local computer, you may be able to significantly improve the speed with which your program is able to ingest NDFD data. The NWS makes a degrib executable available for Microsoft Windows PCs and the degrib source code available for compilation on other computer operating systems. To download degrib software, visit the URL Once you have the degrib software running, you will need to maintain updated NDFD GRIB2 files. For more information on downloading NDFD GRIB2 files from the NWS Telecommunication Operations Center, see the URL For additional help on using degrib to convert NDFD GRIB2 files into DWML see the degrib tutorial and man page.
Thanks for watching! We hope you found this tutorial helpful and we would love to hear your feedback in the Comments section at the bottom of the page. You will find a written version of this tutorial below, and a printable PDF copy to download on the Download Resources tab above.
This tutorial provides a step-by-step example to enable SSL encryption, SASL authentication, and authorization on Confluent Platform with monitoring using Confluent Control Center. Follow the steps to walk through configuration settings for securing ZooKeeper, Apache Kafka brokers, Kafka Connect, and Confluent Replicator, plus all the components required for monitoring, including the Confluent Metrics Reporter and Confluent Monitoring Interceptors.
From the perspective of the brokers, Kafka Connect is another client, and thistutorial configures Connect for SSL encryption and SASL/PLAIN authentication.Enabling Kafka Connect for security is simply a matter of passing the securityconfigurations to the Connect workers, the producers used by source connectors,and the consumers used by sink connectors.
Read the documentation for more details about security design and configuration on all components in Confluent Platform. While this tutorial uses the PLAINmechanism for the SASL examples, Confluent additionally supports GSSAPI (Kerberos) and SCRAM, which are more suitable for production. 1e1e36bf2d