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DevOps Neurosys

DevOps

Benefit from continuous delivery with incorporating DevOps in your projects.

What is DevOps?

DevOps is a broad concept of practices and tools streamlining the delivery of applications and services. Incorporating various solutions and techniques enables a faster, more efficient process compared to traditional software development models. As a meeting point of Development and Operations, DevOps fosters issues occurring in the project’s lifecycle. DevOps’ main goal is to establish a secure, efficient infrastructure enabling continuous development without compromising production.

At NeuroSYS, we include the DevOps Engineer role at certain stages in projects to ensure the best conditions for software development, deployment and maintenance. DevOps engineers prepare test environments, impose best practices, set up CI/CD and other automation processes at the project’s beginning. Within the project pipeline, DevOps expertise is exploited in preparing the production environment and providing further consultancy.
Devops services

DevOps services

DevOps covers several fields of software development and implementation.
Continuous integration and continuous delivery
Continuous integration (CI) is a method in software development requiring developers to integrate their code at least one time a day. CI enables efficient and early error detection due to frequent integrations and automated testing as work progresses. Multiple daily integrations lead to an improved pace of work and reduced inconsistencies in code. Continuous delivery (CD) follows CI’s steps, automating applications delivery to scheduled environments (e.g. development and testing) and updating code changes.
Infrastructure monitoring and alarming
Continuous monitoring (ConMon) is one of the pillars of DevOps processes. The process includes control and identification of threats and issues, potentially able to compromise applications safety and stability. ConMon crowns the DevOps pipeline, facilitating resolving infrastructure issues in real-time. Stepping in once the application goes live in the production environment, continuous monitoring enables supervision and instant alerting to developers, should any issues occur.
Cloud migration and audit
Cloud solutions for business enable leveraging resources and streamlining processes, using secure servers and networks. DevOps specialists go hand in hand with cloud migration, facilitating sustainable cloud operations. DevOps input includes ensuring the safety of business cloud processes, starting with deciding on which processes to migrate, ensuring safety, incorporating containers (managed by e.g. Kubernetes) for improved security and management, followed by scheduling end-to-end cloud processes, like backups and audit to ensure quality.
Continuous deployment
In a continuous deployment approach, all code checked in the automated testing phase is released in the production environment. The process enables automated, ongoing extension of functionalities available to users in contrast to traditional release models. Continuous deployment contributes to improved productivity, faster validation of features, efficient response to market needs and customer feedback. Tools utilized in continuous deployment include but are not limited to GitLab Pipelines, Docker, Jenkins and Kubernetes.
Kubernetes clusters building and administration
Kubernetes allows cluster and container management, enabling automated application deployment and scaling. The system is a go-to DevOps tool used in cloud storage, detaching applications and services from the physical implementation.

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Benefits of DevOps

Find out what your business can gain with efficiently executed DevOps
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Maintenance automation
DevOps enables wide-reaching automation of repetitive tasks, simultaneously omitting human errors in work performed by hand. Launching projects with DevOps helps determine whether applications should be cloud-first or cloud-native, leading to more efficient and faster implementation.

Benefitting from mechanisms such as CI/CD enables constant quality control, often powered by tools e.g. static code analysis (ESLint, SonarQube etc.), unit tests and automated tests (Selenium, Cypress). Automation reduces issues monitored daily, as processes are taking place on their own, enabling focus solely on items requiring addressing.
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Web applications security
Application’s security depends on several factors, and the modern approach to DevOps ensures the safety of development, deployment and maintenance processes along the pipeline.

DevOps professionals, sometimes acting as DevSecOps (with Sec standing for Security), govern automation, reducing human errors and improving applications security by suggesting the most suitable tools and approaches. Liaising between developers and PMs, DevOps specialists assess risks in the early stage of the project and provide plans for addressing them.
knowledge management
Cloud infrastructure cost optimization
DevOps insights enable proper assessment of which applications and features are suitable for cloud migration. Carrying out the well-thought-out strategy lets companies queue resources to achieve the best value by moving items adding the most value to operations.

Moreover, flexibility of cloud solutions allows efficient resource management, adjusting assets to the actual usage, decisions on which own solutions to use vs. manageable services, scheduling on/off times, relocating seldom-used items to lower cost tiers etc.
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Best practices
Incorporating DevOps in projects is the optimum way to ensure the best practices of software development. Reducing unnecessary complications and setbacks, eliminating obsolete elements, promoting consistent code and continuous testing contribute to overall efficiency.

DevOps contributions pay off far ahead, making code maintenance possible even if the original creators already left the team.

Our DevOps process

Our DevOps process consists of three stages that let our clients minimize the risk and costs of their projects.
1
Problem analysis
Our DevOps practitioners define your challenge, conduct a workshop session, and propose a preliminary solution.
2
A feasibility study
We propose a long-term, end-to-end solution and plan.
3
Subprojects
We divide your DevOps project into smaller pieces that can be achieved within 1-2 sprints – and develop the first one.
We share more insights in a separate blog post on
How to start a machine learning project
At neurosys 1

We’re a software development company with a dedicated DevOps team

Our DevOps specialists face challenges in monitoring and servicing of production systems every day. With their contribution, we’ve delivered multiple diverse, innovative projects for our clients and for internal purposes. We are ISO 9001 and ISO 27001 compliant, which helps you to minimize the risk.

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