DevOps Services and Solutions

Automate. Integrate. Deliver. DevOps solutions for success.

Locations

Years of experience

250+

Software QA engineers

200+

Integrations into an existing development & testing process

300+

Projects tested from scratch

50+

Reviews on

DevOps philosophy has revolutionized software development by emphasizing collaboration, automation, and continuous integration. DevOps practices streamline the development lifecycle, fostering teamwork between developers and operations engineers, which helps deliver high-quality applications swiftly. With DevOps, organizations achieve greater agility, efficiency, and innovation, driving business prosperity.

Our Solutions For Your DevOps Challenges

Organizations usually face numerous challenges when adopting and implementing DevOps practices. With our DevOps services, you can easily overcome them and unlock the full potential of DevOps, driving innovation and accelerating business growth.

Inefficient Deployment Processes

Challenge

Deployment of software updates and new features in a timely and error-free manner is a common challenge faced by many businesses. Inefficient deployment processes lead to delays, errors, and increased downtime, impacting overall productivity.

Solution

Our DevOps experts streamline deployment processes by implementing automated deployment pipelines. Continuous Integration and Continuous Deployment (CI/CD) practices ensure rapid and reliable software releases, reducing deployment time and minimizing errors.

Lack of Collaboration Between Development and Operations Teams

Challenge

Siloed communication between development and operations teams results in slower cycles, more errors, and less innovation.

Solution

We foster collaboration through the implementation of collaborative tools and practices. Our approach encourages transparent communication, shared responsibility, and cross-functional teamwork, ensuring seamless coordination between development and operations teams.

Security Vulnerabilities in the DevOps Pipeline

Challenge

Security threats pose a significant challenge in the DevOps environment, with potential vulnerabilities arising from rapid development cycles and frequent code changes.

Solution

Our DevOps solutions incorporate robust security measures at every stage of the development lifecycle. Automated security testing, vulnerability assessments, and continuous monitoring help identify and mitigate security risks, ensuring a secure and resilient delivery pipeline.

Scalability Issues with Infrastructure

Challenge

As your business grows, traditional infrastructure may struggle to handle increased workloads, leading to performance issues and scalability challenges.

Solution

We design scalable infrastructure solutions leveraging cloud services and containerization. Our experts ensure your infrastructure can seamlessly scale on demand, optimizing performance and resource utilization while maintaining cost-effectiveness.

Inadequate Monitoring and Incident Response

Challenge

Identifying and addressing issues promptly is crucial for maintaining system reliability. Inadequate monitoring and slow incident response can result in long-lasting downtime and customer dissatisfaction.

Solution

Our DevOps services include the use of robust monitoring tools and proactive incident response mechanisms. Continuous monitoring of applications and infrastructure, coupled with automated response protocols, ensures swift identification and resolution of issues, minimizing downtime and maximizing system reliability.

Inefficient Deployment Processes

Challenge

Solution

Lack of Collaboration Between Development and Operations Teams

Challenge

Siloed communication between development and operations teams results in slower cycles, more errors, and less innovation.

Solution

Security Vulnerabilities in the DevOps Pipeline

Challenge

Security threats pose a significant challenge in the DevOps environment, with potential vulnerabilities arising from rapid development cycles and frequent code changes.

Solution

Scalability Issues with Infrastructure

Challenge

As your business grows, traditional infrastructure may struggle to handle increased workloads, leading to performance issues and scalability challenges.

Solution

Inadequate Monitoring and Incident Response

Challenge

Solution

Inefficient Deployment Processes

Challenge

Solution

Lack of Collaboration Between Development and Operations Teams

Challenge

Siloed communication between development and operations teams results in slower cycles, more errors, and less innovation.

Solution

Security Vulnerabilities in the DevOps Pipeline

Challenge

Security threats pose a significant challenge in the DevOps environment, with potential vulnerabilities arising from rapid development cycles and frequent code changes.

Solution

Scalability Issues with Infrastructure

Challenge

As your business grows, traditional infrastructure may struggle to handle increased workloads, leading to performance issues and scalability challenges.

Solution

Inadequate Monitoring and Incident Response

Challenge

Solution

Our Scope of DevOps Services

Armed with rich experience and modern tools, we streamline your development and operations processes, enhancing efficiency, collaboration, and reliability throughout your software development lifecycle.

Configuration Management Services

We ensure that your systems and configurations remain consistent and manageable across various environments, minimizing errors and enhancing scalability.

Cloud Infrastructure Management

Our experts optimize your cloud infrastructure to maximize performance, scalability, and cost-effectiveness, whether you use AWS, Azure, Google Cloud, or a hybrid setup.

Containerization and Orchestration Services

We leverage Docker and Kubernetes to containerize your applications and automate their deployment, scaling, and management for enhanced agility and resource utilization.

Infrastructure as Code (IaC)

With IaC, we codify your infrastructure, enabling automated provision and configuration management, reducing manual errors, and improving reproducibility.

Test Automation Services

We implement robust automated testing solutions to accelerate your release cycles while ensuring the quality and reliability of your software.

CI/CD Implementation

To facilitate rapid and reliable software delivery, we design and implement continuous integration and deployment pipelines tailored to your development workflows.

DevSecOps

Our team can integrate security into every stage of the DevOps pipeline, ensuring that your applications are resilient to threats and compliant with compulsory industry standards and regulations.

DevOps Consulting

Our experienced consultants provide strategic guidance and support to help you adopt and optimize DevOps practices, aligning them with your business objectives for maximum impact.

Partner with DeviQA: see the difference

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Dev capacity:

+15%

Before

After

Didn’t have a formal QA process

Built smooth and well-working processes

Didn’t make automated testing

Test automation : smoke, API, UI on all supported browsers

Testing was carried out by the devs

Full coverage of the application by test cases

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Test coverage :

90%

Before

After

2.5 weeks to run regression testing

1 day to run regression testing

7 days to run smoke testing

1 day to run smoke testing

Outdated test cases

60% increase in the number of regression tests and relevant test cases

50% test coverage

90% test coverage

Supported localizations were not tested

27 localizations supported by QA engineers

No automation testing

>1500 automated test scenarios created

Read Story

Test coverage :

97%

Before

After

Existing workflow in Jira didn’t allow to understand how many bugs were left unfixed before the release and their priorities

Adjusted the Jira workflow, integrated TestRail with Jira to be able to see statisticls of the issues per release

The lack of test documentation

Developed necessary test artifacts that adhere to industry standards and are easily maintainable

No Automation test coverage

Added multithreading to run tests in parallel on 10 different threads, which reduced the time of the test run in 7 times

Read Story

Releases per day:

Before

After

1 huge release every 1-2 months

4-5 releases per day

1 large team with an unclear scope of work

~15 squads each with a straight and clear working plan

0 test cases

200+ e2e test cases for the whole app

1-2 months to release a new feature

2 weeks max to release a new feature

Convoluted and complex process of urgent bug-fix releases

Clear and fast way to release any fix

Read Story

Test coverage:

90%

Before

After

The architecture of the test suite could not be scaled and was difficult to maintain for a large number of tests

Designed the architecture of the test framework from scratch

Tests couldn’t be integrated with other testing and DevOps tools

Integrated auto tests with Jenkins, TestRail, and Jira to have a complete test ecosystem up and running

Tests took many hours to be completed

Built a test suite that ran auto-tests using 16 threads on multiple machines

Read Story

Test coverage:

80%

Before

After

Test suite was developed without maintenance and scalability support in mind

We conducted a comprehensive review of the existing test suite, identified areas of improvement and implemented best testing practices

The high number of issues or defects that were present in the software

The number of issues reduced to 25 % after automation was properly implemented

Slow test results and the lack of stable automated tests, leading to hindered deployment capabilities

SoftNAS experienced several benefits, including faster test results and the acquisition of stable automated tests, resulting in improved deployment capabilities

Read Story

Supported platforms:

Before

After

Developers were responsible for testing, and they executed it chaotically

>90% of the application was covered with test cases

Many bugs were overlooked during regular test runs

100% coverage was ensured for smoke and sanity testing

There was a lack of test documentation

>300 blocker issues were detected

There were many major and critical issues in a production environment

The number of customer support issues was reduced by more than 50%

Read Story

Parallel threads:

Before

After

Outdated BE autotests

All existing autotests are up-to-date

Only smoke tests were automated on BE

~2800 autotests added

No autotests on FE

>90% of test cases are automated

Manual smoke testing on FE

~99% of smoke tests are automated

Manual release testing

~95% decrease in post-release regression bugs, the implementation of test automation has proven to be highly effective

Read Story

Test coverage:

90%

Before

After

There was no formal QA process

An efficient and transparent QA process was set up from scratch

There was no test documentation

Well-structured test cases were created to cover the main scenarios

Automation scripts were useless because they didn’t check the required functionality

Following best practices, automation testing utilized independent tests, API-driven data creation, and the Page Object Pattern

Read Story

Test coverage:

>80%

Before

After

4 days were needed to run regression testing

~2 hours were needed to run regression testing

Regression tests were executed on one device only

5 various devices with different operating systems, screen resolutions, and browsers were used to run regression testing

There were less than 200 automated tests

>1000 automated tests were developed

1 browser was used

4 browsers were supported

Read Story

Test coverage:

99%

Before

After

There was no formal QA process

Manual story testing and verification was built from scratch

There was a lack of QA resources to test all platforms and product areas

99% of the application was covered with test cases and the smoke and regression checklists

The test documentation was incomplete

A well-structured test plan enabling thorough validation was created

Testing was executed by developers

A fully autonomous QA process was set up where QA engineers were fully responsible for testing

Read Story

Regression testing run:

Before

After

2 weeks were needed to run regression testing

<1 week is needed to run regression testing

Regression testing was performed only on 2 web devices

>6 various devices with the latest OS versions are used to run regression testing

There were no auto-tests

>150 automated tests have been created

>100 bugs have been reported

3 browsers are supported

2x faster task handling

Read Story

Test coverage:

>85%

Before

After

Regression testing was not executed

3 hours were needed to complete regression testing

The product contained a lot of bugs and had a bad UX

>300 functional and non-functional bugs were reported

There were no automated tests

350+ automation scenarios were created

Test coverage was low

>85% of the product was covered with automated tests

There were no test cases

350+ test cases were created from scratch

Read Story

Bugs reported:

>1000

Before

After

The QA process was unstructured and inconsistent

A QA team participates in creating ticket scope for upcoming releases

The previous QA team was not efficient enough

All the required test documentation has been rewritten

The test documentation was incomplete and out of date

>6,000 test cases have been written for a regression test suite for client applications

There were a lot of issues reported by clients

The DeviQA engineers have reduced the number of bugs reported by clients/therapists

Read Story

Test coverage of the API:

100%

Before

After

A bug-tracking system was not used

280+ regression E2EE cases have been created, which let a team reduce the time of regression testing to 1.5 days

There were no regression checklists

~40% of tests have been automated, and this value is growing

There was poor documentation coverage

100% of the core flow is covered with documentation

The tests were not automated

5+ performance suites have been created

Read Story

Choose Your Cooperation Model

We understand that every business has unique needs and preferences when it comes to collaboration. That's why we offer three distinct cooperation models, each tailored to meet your specific requirements.

Staff Augmentation

Opt for the staff augmentation model to integrate our skilled DevOps expert(s) into your existing team to fill skill and knowledge gaps.

Best Option For: Companies that need short-term assistance with performing specific tasks.
Easily scale your team up or down based on project demands.
No long-term commitments or overhead costs associated with full-time employment.

Get started

Dedicated Team

With the dedicated team model, you get a specialized squad of DevOps experts focused exclusively on your project. It works as an integral part of your organization, helping you handle all DevOps-related issues.

Best Option For: Large-scale projects requiring continuous attention and specific skill sets.
Directly manage the work of your dedicated DevOps team.
Assemble a team of experts with precisely needed skill sets.
Efface the geographical boundaries with real-time communication and close collaboration.

Get started

Outsourcing

Outsourcing suggests entrusting the entire DevOps process to our experienced team. From planning to maintenance, we take care of everything, allowing you to focus on your core business functions.

Best Option For: Companies looking to delegate DevOps tasks and reduce costs without compromising quality.
Reduce operational and infrastructure costs.
Enable your team to concentrate on strategic goals.
Leverage expertise from across the globe.

Get started

DevOps Lifecycle

We understand that DevOps is not just a methodology; it's a culture that drives innovation, collaboration, and efficiency throughout the software development lifecycle. Our approach to DevOps is rooted in leveraging industry best practices and cutting-edge technologies that streamline processes, accelerate delivery, and enhance quality.

Plan

We begin by collaborating closely with your team to understand your business objectives, project requirements, and technical stack. This phase involves defining clear goals, establishing key performance indicators (KPIs), and outlining a roadmap for implementation.

Code

With a focus on continuous integration (CI), our expert developers write clean, modular code that adheres to best practices and coding standards. We emphasize version control, automated testing, and code review to ensure the reliability and maintainability of your software.

Build

Through automation and infrastructure as code (IaC), we provide and configure the necessary infrastructure for your application deployment. Our approach emphasizes scalability, resilience, and security, leveraging cloud-native technologies and containerization platforms such as Kubernetes.

Test

Quality assurance is embedded throughout the development process, with automated testing frameworks and continuous testing. We integrate unit tests, integration tests, and end-to-end tests into Ci/CD pipelines to identify and resolve issues early, minimizing the risk of defects in production.

Deploy

Our deployment pipelines enable rapid and reliable deployment of code changes to various environments, from development and testing to staging and production. We emphasize blue-green deployments, canary releases, and feature toggles to minimize downtime and ensure seamless releases.

Operate

Monitoring and observability are integral to our approach, with real-time insights into application performance, availability, and security. We leverage monitoring tools, log management, and AIOps capabilities to detect and respond to incidents proactively, ensuring optimal uptime and user experience.

Iterate

Continuous improvement is at the core of our DevOps philosophy. Through post-implementation reviews, retrospectives, and feedback loops, we identify opportunities for optimization and refinement. Our goal is to foster a culture of learning and experimentation, driving innovation and agility.

What you get

Average time saved by implementing our multithreaded test automation

300%

Reduction in your costs by using outsourced software testing

60%

Improvement in time to market for your products and projects

35%

Accelerate development by

30%

Increase test coverage to

95%

Enhancing project quality by

60%

Feel the improvement in

3 days

Reduce bugs up to

87%

Automation faster in parallel by

56x

We serve

Our expertise and resources allow us to cover the unique needs of each project, ensuring the delivery of high-quality software that meets your requirements and business goals.

Industries

Healthcare

FinTech

Real Estate

Cybersecurity

Retail

AdTech

Solutions

Banking Apps

SaaS Solutions

ERP Software

CRM Systems

eCommerce

Technologies

Blockchain

Cloud Computing

Internet of Things

Big Data

Elevate your software quality with our cutting-edge QA solutions.

Don’t let software bugs and performance issues jeopardize your reputation. Surpass your competitors with our specialized data-driven QA solutions that ensure detection and rectification of up to 95% of potential issues. Enter your business email below for a free Proof of Concept to start enhancing your software reliability today.

Here’s what people are saying about DeviQA

“It was so easy to integrate your people with us and we didn't have any problems.”

Janosch Greber

VP of Engineering at RealTyme

“DeviQA did an excellent job, and I highly recommend them.“

DeviQA helped develop a cybersecurity software platform. Complex automated scenarios test REST APIs through a Faraday library. An SDK application works with Azure, Google Cloud, Docker, and LXC containers.

Yuval Or

QA Manager at Mimecast

Open details

“Devico has always brought us really high quality candidates for us to be able to seamlessly mesh into our team.”

Danny He

CEO and Founder at Soapbox

QA tools & platforms we hold expertise in

Automation Testing

Cucumber

Selenium

Appium

Mocha

Playwright

Robot Framework

Specflow

TestNG

WebdriverIO

Selenide

Calabash

Watir

Codeception

Cypress

Security Testing Tools

HCL AppScan

Nessus

NMAP

BurpSuite

Acunetix

OWASP ZAP

Metasploit

Wireshark

DBeaver

Rdp-Sec-Check

SNMPCHECK

AiR

SSLSCAN

Performance Testing Tools

JMeter

Load Runner

Visual Studio

API Testing

Rest API

GraphQL

Apiary

Bluetooth Low Energy API

Apple Pay

Google Pay

Apple Maps

Fingerprint API

API Testing Tools

Postman

Swagger

Charles Proxy

Ready API

ACCELQ

Katalon Platform

REST-Assured

Database Testing

SQL Server

MySQL

Oracle

PostgreSQL

Cassandra

MongoDB

RethinkDB

Amazon S3

Redshift

DynamoDB

Amazon RDS

DocumentDB

Amplify

Lambda

Amazon EC2

Elasticache

Azure Datalake

Blob Storage

CosmosDB

SQL Database

Synapse Analytics

Google Cloud SQL

Google Cloud Datastore

Certifications

ISO 9001:2015

At DeviQA, we take pride in being an ISO 9001:2015 certified company. This certification represents our unwavering commitment to maintaining the highest standards of quality in every aspect of our software testing services. With a focus on customer satisfaction, we adhere to internationally recognized quality management practices to ensure that our clients receive exceptional and reliable testing solutions. Through continuous improvement and compliance with regulatory requirements, we consistently deliver top-notch testing services that exceed our clients' expectations

ISO 20000

We understand the crucial role of IT services in modern businesses. As an ISO 20000 certified company, we excel in delivering efficient and effective IT services to our clients. Our customer-centric approach enables us to tailor our testing solutions to suit your unique requirements, ensuring a seamless integration of testing processes into your software development lifecycle. With a focus on continual service improvement, we optimize our IT Service Management practices to guarantee a smooth and satisfying experience for our valued clients

ISO 27001

The security of our clients' data is of paramount importance to us. As an ISO 27001 certified company, we go above and beyond to protect sensitive information and ensure the confidentiality and integrity of all data entrusted to us. With our robust Information Security Management System (ISMS), we implement stringent security controls, evaluate risks, and take proactive measures to safeguard against potential threats. Rest assured that partnering with us means your valuable data is handled with the utmost care and subject to the highest security standards

ISTQB

As a testament to our team's expertise and commitment to excellence, our software testing professionals hold the esteemed ISTQB (International Software Testing Qualifications Board) certifications. The ISTQB certification is a globally recognized standard for software testing professionals, signifying their proficiency in the latest testing methodologies, best practices, and industry standards. With ISTQB-certified experts on board, we bring a wealth of knowledge and skills to every testing project, ensuring thorough and precise testing to uncover even the most intricate software defects. Partner with us and benefit from our skilled ISTQB-certified professionals who are dedicated to elevating the quality and reliability of your software products

Awards and recognitions

Leading Testing Provider by SoftwareTestingNews in 2021

Top Software Testing and QA Company by Superbcompanies in 2023

Finalist of the European Testing Awards in 2019

Finalist of the Software Testing & QA Awards in 2019

Collaboration process overview

1. Initial contact

During our initial call, we aim to understand your testing requirements and goals

2. Assessment

We evaluate your current testing process and create a tailored plan to enhance it

3. Proof of Concept

We offer a complimentary Proof of Concept, allowing you to experience our proficiency and expertise

4. Trial and evaluation of performance

We start a trial period with you, and once complete, we review the results together and discuss options

5. Contract signing and full-scale QA implementation

Upon mutual agreement, we move forward with the QA process by signing a contract and beginning work

6. Partnership with flexibility

Our engagement options give you commercial flexibility to dial up and dial down resources depending on your own needs

Let’s schedule a call

Flexible collaboration options allow you to choose the level of support that best meets your needs

Frequently Asked Questions

faq

FAQ

What is DevOps?

DevOps is a collaborative approach that integrates development (Dev) and operations (Ops) teams throughout the software development lifecycle. It aims to improve communication and collaboration and implement automation to deliver high-quality software faster and more efficiently.

Why is DevOps important for modern businesses?

DevOps is crucial for modern businesses as it accelerates time-to-market, improves collaboration, enhances software quality, and increases the efficiency of development and operational processes. It aligns IT activities with business objectives, fostering innovation and responsiveness to market demands.

Can DevOps be applied to different types of projects and industries?

Absolutely, DevOps principles can be applied to various projects and industries, including fintech, healthcare, e-commerce, logistics, and many more. It is a versatile approach that can be tailored to suit the unique needs and challenges of different projects.

How do DevOps services address security concerns?

DevOps services address security concerns through the DevSecOps practice, which integrates security into the entire DevOps lifecycle. Security checks are integrated into the CI/CD pipeline, and security best practices are applied in areas like code review, automated testing, and infrastructure configuration.

What role does automation play in DevOps services?

Automation is a fundamental aspect of DevOps services. It streamlines repetitive tasks, ensures consistency, and reduces the risk of human error. Automation covers such areas as code deployment, testing, infrastructure provisioning, and configuration management.

How does DevOps support cloud computing?

DevOps and cloud computing go hand in hand. DevOps services leverage cloud infrastructure to provide scalable and flexible environments for development, testing, and production. Cloud services also facilitate continuous integration, continuous delivery, and automated scaling.

Can DevOps practices be integrated into existing systems?

Yes, DevOps practices can be integrated into existing systems and legacy applications. As a rule, organizations do this gradually. DevOps is not just for new projects; it can bring improvements to existing workflows as well.