Database Workbench is the ultimate tool for database developers thanks to the fact it offers a centralized development environment for working with database engines of different types. No longer do developers working with multiple database standards and formats have to swap between multiple development environments having to learn how to use a new interface with each one. The goal of this powerful utility is to provide a powerful set of tools throughout a consistent interface that improves productivity and makes working with modular development environments a breeze. In fact, reviewers have consistently praised Database Workbench for its easy of use and intuitive user interface.

What's Special about Database Workbench

Aside from streamlining multiple development environments into one easy-to-use modular environment, Database Workbench provides a wealth of features that make it ready for just about any application. While complex by its nature, it is also easy to use and ready for the international marketplace. To that end, it provides complete support for the Unicode standard, allowing developers to create and display data in any language. In fact, it is even possible to include meta data in other languages and writing systems without having to worry about encoding or compatibility issues arising. Exporting or importing Unicode data is a breeze, and you can easily transfer it between the different database systems that you are working with.

Those using multiple database systems or multiple versions of the same system can also transfer data across different development environments thanks to the consistently familiar interface across every module. It doesn't matter which database systems you use - you no longer need to worry about different vendor tools causing added confusion. That means less time learning how to operate with new systems and more time working on your projects. Further enhancing productivity and helping you to get the most out of your projects is a full web-based documentation, great customer support and ongoing updates, all of which are free to use for a year.

Database Workbench Features

With its agnostic visual design tools, developers can create a new database, even one that is designed for use with multiple database systems. However, they can do so from a single source. It is also possible to create a visual diagram from any existing database or design databases elsewhere and implement them using the included database script or visual editor.

Implementing your database couldn't be easier thanks to its powerful visual editor and management tools. Drag-and-drop editing and SQL insight tools make it easy to view object dependencies and more. Finally, you will also have access to a rich set of testing, debugging and maintenance tools. For example, you can easily extract scripts for objects and even create change scripts to use with the included database compare tool. Visual query builders and stored routine debugging are yet more powerful tools that can help you reduce errors and ensure that your data maintains its integrity throughout the project.

If you're ready to change the way you work with database development, then take a look at today.

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Packt Publishing - Docker Swarm Advanced - Centralized Logging and Monitoring

Packt Publishing - Docker Swarm Advanced - Centralized Logging and Monitoring
English | Size: 473.24 MB
Category: Tutorial

A hands-on course that will help you use the Docker Swarm Remote API, parse and send logs to a centralized logging, and collect metrics and monitor containers.

This course will guide you through real-world scenarios and by the end, you will be able to use the Docker Swarm Remove API, parse and send logs to a centralized place, and collect metrics and monitor your Docker Swarm cluster.

In this module, we explore Docker Swarm in depth. Now that we have a cluster up-and-running with many containers, it is quite hard to know what is going on.

To start, we are going to learn about the Docker Swarm Remote API. We will find out how to retrieve information from the cluster, and deploy and scale services using the API. Then we will look how to build our centralized logging and how to send data. To close we will learn how to search for logs using Kibana, and collect metrics to monitor containers running in the cluster. We will display this information in a Dashboard using Grafana, to clarify what is going on.
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5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells

5G Radio Access Networks: Centralized RAN, Cloud-RAN and Virtualization of Small Cells by Hrishikesh Venkataraman
English | 23 Feb. 2017 | ISBN: 1498747108 | 315 Pages | PDF | 13.83 MB
C-RAN and virtualized Small Cell technology poses several major research challenges. These include dynamic resource allocation, self-configuration in the baseband pool, high latency in data transfer between radio unit and baseband unit, the cost of data delivery, high volume of data in the network, software networking aspects, potential energy savings,
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Centralized Logging with the Elastic Stack: Getting Started

Centralized Logging with the Elastic Stack: Getting Started
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 20M | 474 MB
Genre: eLearning | Language: English
The Elastic Stack is one of the most effective ways to leverage open source technology to build a central logging, monitoring, and alerting system for servers and applications. This course will teach you how to setup of the Elastic Stack.
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