Azati carefully studies the existing ecosystem to fully understand the infrastructure, its features and the potential to provide more accurate recommendations and instructions for further actions.
Azati helps companies transfer applications to high-performance cloud platforms that can improve the efficiency and cut-down infrastructure maintenance costs within the enterprise.
Iteration & Support
Development Operations is a continuous process that requires constant involvement. Azati optimizes the way engineers ship new versions to the customers to improve the key performance indicators.
Our DevOps Process Flow
DevOps lifecycle is all about driving production by bridging the gap between development and operations through continuous integration, deployment, delivery and feedback.
Continuous Integration (CI) allows the business to automate software development and application testing in a shared repository. New commits are isolated, collected, and tested before they are merged into a master branch.
With continuous integration, it becomes easy to spot the majority of errors and eliminate critical bugs as quickly as possible. Continuous integration minimizes the bug fixing costs and provides the constant availability of a stable version for public demonstration.
After new features are pushed to the repository, yet another version can be automatically deployed to the staging server, pass some tests there, and get prepared to manual roll out on the production server.
Continuous Delivery involves automatic code deployment to the staging server. This operation can be carried out manually or automatically.
The team does not need to prepare minor releases manually, as the process is fully automated. It helps the developers focus on the creation of gorgeous and handy products, and stop perceiving releases as something scary.
Continuous Deployment is very similar to Continuous Delivery with the only difference – after the new version is thoroughly tested and is considered as “stable”, it is automatically released to the production server after passing additional checks.
Continuous Deployment is an ideal solution for projects that are built with tiny iterations – where there are no huge releases, but features are rolled out on the go.
Following this approach, new features can reach customers in a matter of hours.
There are two the most important types of information concerning software: data on how customers use the application, and feedback from these customers about application performance and usability.
Shortly, continuous feedback is defined as a mechanism in which a DevOps specialist receives ongoing feedback. It allows businesses to find out the weak sides of the product.
Interested parties take appropriate measures to improve the application according to replies and expand the capabilities of its users.
DevOps as a Service
DevOps engineers provide consulting and advisory services that include system evaluation, infrastructure analysis, plan development, and determination of the right toolset.
Azati offers the most suitable automation options based on an in-depth analysis of the infrastructure.
DevOps without automation is close to impossible as one of the its principles is to rely on automation.
Automation of repetitive processes minimizes possible risks and improves productivity. Our experts use cutting-edge licensed tools and open source apps to enhance the quality of the service.
After completing all the necessary tasks, Azati helps customers adapt to the new DevOps processes and improve the existing software development workflow.
Engineers are analyzing how flexible this system, how it copes with typical issues, and whether it suits the current business and developer’s requests.
Business analysts and engineers go in-depth while researching the solution. Such an approach helps us to gain off-hand experience and unique knowledge in various industries.
Azati often hires professionals with scientific and academic backgrounds to share their in-depth technical knowledge and bring a new vision to the development of new technologies.
If the existing application is not built in an optimal way, we recommend alternative solutions that may improve the solution without disrupting the existing application infrastructure.
Featured Case Studies
Custom system for engineering drawings digitization powered by artificial intelligence to extract data from on-paper maps, schemes, and other technical documents.Java, Python