KartacaOfficial

Apache JMeter a project of Apache Software Foundation, was originally designed to test web applications but later developed to perform different test functions. In JMeter web applications, it is possible to test static files such as HTML, CSS, and JS, as well as dynamically generated web services based on SOAP (Simple Object Access Protocol) and REST (Representational State Transfer). JMeter helps to simulate the web requests of real users while using a web app.

Please read our blog post for more details.

If you have big, multi-module and distributed projects, you will need solutions to establish communication among services, distributed cache, etc. At the same time, you will need to run many cluster-based processes individually. For example, in the case of using coupons at the same time, you need a cluster-based lock to limit users to a single transaction only.

It’s possible to overcome with a solution that has many features such as in-memory distributed cache, lock, broadcast, and distributed task execution. And, there is a solution, developed in our own country: Hazelcast

Please read our blog post for more details.

We use Bamboo as a continuous integration server to automate version management for software applications.

Continuous integration is testing of every change in the system. It aims to integrate the different modules developed in the software process with minimum problems.

Please read our blog post for more details.

In today’s technology, there are thousands and millions of data streams per second. Everything is now done digitally, including smartphones, smartwatches, wristbands, beacon technologies, money transfers, and millions of data as a result of this digitalization.

In solutions with legacy databases, growing data increased the processing power of the servers, and increased computing power resulted in more servers, more space, and more cost. As this problem required a solution, methods of approach to the database have also changed.

At this stage, there has been a change in the way we access stored data (access through more than one layer – cache mechanisms). It created the need for the development of immediate solutions for data storage and improvements to ensure continuous access. Eventually, some new systems have been developed to store the data with different methods, enabling quicker access through various layers.

When we started experiencing problems with understanding the data, storing it according to its content, accessing it, and doing all these instantaneously for millions of data, Clickhouse emerged as the solution of many of our problems.

Please read our blog post for more details.

How we migrated our codebases from SVN (Subversion) to Git. We will share the method and the tools we used in the migration of our codebases, and the experiences we have gained during our migration from SVN to Git at Kartaca.