In software development, Agile practices include requirement discovery and solutions improvement through the collaborative effort of self-organizing and cross-functional teams with their customers and end users.
Continual improvement, and flexible responses to changes in requirements.
Capacity, and understanding of the problems to be solved.
Evolutionary development.
Adaptive planning.
Early delivery.
Working software over comprehensive documentation.
Individuals and interactions over processes and tools.
Responding to change over following a plan.
Customer collaboration over contract negotiation.
By taking an integrated approach to work and using a combination of development methods, new software development time is reduced.
Using SDLC application provides transparency of the entire software development life cycle, as well as control over the development process.
Real-time collaboration between teams of developers leads to improved efficiency and increased productivity for each team.
Organization of a single workspace for all groups of developers and product owner improves information exchange and interaction, allows you to effectively distribute tasks and manage changes.
Implementing the ITSM approach, we strive to understand all the needs of end users and their expectations of the product.
It's not the speed that always counts, but the result. By the phrase we mean that quality of service is more important than a quick but unstable solution to a problem.
Technology can quickly become outdated, so OMNEEMO employees are constantly staying on top of trends and innovations. That’s how our teams are getting better at what they do.
Our employees are relieved of paperwork as much as possible in order to provide the best quality of service, focusing entirely on delivering tangible results.
Using Agile methodologies and frameworks such as Kanban, Scrum, Scrumban and XP means that the efficiency of the ITSM processes in OMNEEMO can be improved right on the fly. With Agile, our IT teams can offer feasible results and then use the feedback to improve the quality of solutions we provide.
We are focused on delivering more effective services to our customers using digital platforms.
We help implement and customize technology solutions to better fit your needs, regardless of the selected platform.
We use best practices for every supported platform to extend and implement functionality in a safe and compliant way.
Strategic partnership with software vendors allows OMNEEMO to innovate rapidly and properly.
Platform implementation, customization, and optimization.
Development of custom plug-ins and modules.
Hosting and critical application support.
Integrations: third party and legacy.
Platform consulting.
Scale your commercial activities, uncover opportunities to drive improvement in key business metrics.
Revenue, and customer experience, grow and engage audiences. Achieve measurable growth in conversion.
Meet complex and evolving business and audience needs.
Software Testing is a process of identifying errors, glitches or bugs in a software development process.
One of the most important aims is to meet customer expectations by offering QA services that deliver the result as it was defined at the beginning of our cooperation.
At each stage of the product development process, our testing team implements best-in-class QA and software testing practices.
During the planning stage, we conduct a detailed study of your business requirements and generate ideas on how to execute them.
Faulty software can cost money and lead to users and clients disappearing. That’s why deployment of QA testing throughout the software development phase helps to save time and money.
Testing for corporate software is critical. Our testers properly test customer’s system and detect bugs which can cause losses in data, system blackouts and more.
The sum of our satisfied customers and happy users not only instils confidence, but also creates a boost in positive reputation and loyalty.
Organisation allows us to work in peace. That then leads to a higher level of productivity, which in turn leads to delivery of efficient software in a timely manner.
Performance and Load testing
Compatibility testing
Installation testing
Stress testing
Security and Access Control testing
Usability testing
Acceptance testing
Unit testing
Localization testing
UI testing
Positive/Negative testing
Integration testing
Regression testing
Smoke testing
It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
It focuses on the ability of a business to deliver software and services with speed and also scale.
The main advantage the DevOps process has over traditional systems development is speed.
The purpose of these tools is to further optimize, reduce, and automate the various stages of the software delivery workflow (or "pipeline").
Many tools such as this one also promote the core principles of DevOps - automation, collaboration, and integration between development and operations teams.
This stage helps define business value and requirements. Examples of tools include Jira or Git for tracking known issues and project management.
This stage involves designing software and creating program code. Examples of tools include GitHub, GitLab, Bitbucket, or Stash.
In this stage, you manage software builds and versions, and use automated tools to compile and package the code for later release into production. You use source code repositories or package repositories that also "package" infrastructure needed to release the product. Examples of such tools are Docker, Ansible, Puppet, Chef, Gradle, Maven, or JFrog Artifactory.
This step involves continuous testing (manual or automated) to ensure optimal code quality. Examples of tools include JUnit, Codeception, Selenium, Vagrant, TestNG or BlazeMeter.
This step can include tools that help manage, coordinate, plan, and automate the release of the product into production. Examples of tools: Puppet, Chef, Ansible, Jenkins, Kubernetes, OpenShift, OpenStack, Docker or Jira.
This phase involves managing the software in production. Examples of tools: Ansible, Puppet, PowerShell, Chef, Salt or Otter.
This step involves identifying and collecting information about problems with a particular software release in production. Examples of tools: New Relic, Datadog, Grafana, Wireshark, Splunk, Nagios, or Slack.
Continuous monitoring
Continuous Delivery
Continuous Integration (CI)
Continuous testing
Infrastructure as code
Continuous deployment (CD)
Continuous Development
This practice involves continuous monitoring of both the running code and the underlying infrastructure that supports it. A feedback loop that reports bugs or issues then makes its way back to development.
This practice automates the delivery of code changes after testing to a pre-production or staging environment. The employee can then decide whether they want to move those code changes to production.
This practice combines configuration management (CM) tools with other testing and development tools to track the extent to which the code being developed is ready for production. It involves rapid feedback between testing and development to quickly identify and fix code problems.
This practice involves automated, pre-planned, continuous code tests as the application code is written or updated. Such tests can accelerate the delivery of code into production.
This practice can be used at various stages of DevOps to automate the creation of the infrastructure needed to release software.
Developers add infrastructure "code" from existing development tools. For example, developers may create an on-demand storage volume from Docker, Kubernetes or OpenShift.
This practice also allows operation team to monitor and control environment configurations, track changes, and simplify the rollback of configurations.
Similar to continuous delivery, this practice automates the release of new or modified code into production. A company with continuous deployment can release code or feature changes several times a day.
The use of container technologies, such as Docker and Kubernetes, can facilitate continuous deployment by helping maintain code consistency across deployment platforms and environments.
This practice covers the planning and coding phases of the DevOps lifecycle. Version-control mechanisms may be involved.
If you have any questions or need more details, please don’t hesitate to reach out to us.
From development and 24x7 support to agile consulting and strategy, our experts are ready to guide you to your ultimate digital goal.
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