Azure key-value store services comprise a subset of NoSQL (non-relational) data services for semi-structured data, which offer you a key-value data store. Common use cases would be when you need: simplest and fastest NoSQL data store; fast, high-volume data ingestion; quick read-write operations; or when data structure/number per entity is varied. Sounds complicated, but we’ve laid it all out in simple terms.
AWS (Amazon Web Services) Certification is becoming close to mandatory based on the modern high market demand for cloud and DevOps. However, the rules and levels may be somewhat confusing. There are several paths available within the program, each one training in a specific element. Therefore, guidance from an alum will be of great help.
We readily discuss everything new coming out each month from Microsoft and Azure. Modern cloud and hyperconvergence services take up most of our discussions and wallets when it comes to virtualization. But there are a lot of people who still use Unix-based cloud services, and their monitoring and management tools can be quite different.
Having an Oracle Database on hand for testing purposes is a handy endeavor. For example, if you want to test software integration capabilities or work with PL/SQL scripts. We’re not talking about configuring a full-blown production-ready Oracle. Just something useful and easy to have for you to test the work stuff that you need.
The brand new version of the K2 Connect component for the K2 5.4 platform has arrived! The update introduces the long-awaited support of clean K2 V5 environments without the need for in-place upgrades from legacy versions. The installation dependency on K2 Designer for Visual Studio from the K2 blackpearl 4.7 client tools is no more.
Integrating DocuSign, an electronic signature service, into the automated K2 platform can be highly effective for your business. In previous K2 versions, the integration was painful: there was no complete Management UI and you had to be quite a pro to successfully do that. Today, everything is way simpler but no less rewarding.
Part 1 of the topic considered certain basic options, like configuring screen sharing in Ubuntu and connecting to Ubuntu desktop using the VCN Viewer client. However, if you want to connect to an Ubuntu machine using some sort of virtual desktop client without opening a session locally, you may want to look into XRDP Server.
Part 2 of the topic explained how to configure the AWS Elastic Beanstalk (EB) environment and the Django project to use the Postgres database. The current third installment will focus on configuring S3 storage for static and media files, as well as assigning a custom domain name for the app.
Part 1 of this topic covered why using AWS Elastic Beanstalk (EB) can be more beneficial for making apps if you are using Django. It showcased how to prepare your Django project for correct deployment via AWS EB. Part 2 will explain how to configure the EB environment and the Django project to use Postgres database.
In this blog post, we will talk about getting your Django project deployed to Amazon Web Services (AWS) platform. There are different ways you can do that with AWS: one is deployment to EC2 instance running Linux (you just connect to it over SSH and work with Linux server directly), and the other one is deployment to Elastic Beanstalk. The first scenario is close to simple project setup on a local Linux machine with some extra steps involved – for that you can refer to my previous posts which cover most of the steps involved. In this post, we will focus on Elastic Beanstalk deployment scenario, going through all the steps involved in this process when it is performed from Ubuntu.
