DevOps Solutions
We are experienced in providing all range of DevOps related services.
DevOps Consultation & Implementation Service
We can help you streamline your everyday deployment from software to hardware.
Continuous Integration (CI)
Continuous integration involves automating code integration from multiple developers into a shared repository, ensuring code quality and fostering collaboration.
Continuous Delivery (CD)
Continuous delivery automates the deployment process, enabling consistent, reliable movement of code changes from development to production while minimizing downtime.
Continuous Testing and Quality Assurance
This pillar focuses on automated testing, performance testing, security testing, and the creation of realistic test environments to ensure software quality throughout development.
Continuous Monitoring and Feedback
Continuous monitoring in real-time, alerting, log analysis, and feedback loops provide insights into application performance and user experiences, aiding in continuous improvement and issue resolution.
“We had the rough idea in mind, and Many Hats was able to bring it to life in an easy and understandable way.”
- Adam Cappon, CEO @Tailgater
DevOps Services for Any Industries
At Many Hats, our dedicated DevOps engineers can help you navigate the ever-evolving technological landscape, ensuring seamless integration and optimal performance, regardless of which industry you are in.
Healthcare
DevOps ensures secure and up-to-date Electronic Health Record (EHR) systems for patient data management.
Finance and Banking
DevOps maintains mobile banking apps for secure, convenient customer access.
E-commerce
DevOps optimizes online retail platforms for seamless shopping experiences and efficient inventory management.
Manufacturing
DevOps supports Manufacturing Execution Systems (MES) to streamline production processes.
Gaming
DevOps continuously delivers game updates for an engaging online gaming experience.
Telecommunications
DevOps manages network software for reliable, real-time connectivity.
Agriculture
DevOps enhances precision farming software for efficient crop management.
Logistics and Supply Chain
DevOps tracks shipments and streamlines warehouse operations in logistics.
Education
DevOps improves Learning Management Systems (LMS) for online education.
Energy Management
DevOps optimizes smart grid software for efficient energy distribution.
Artificial Intelligence Technologies for DevOps
Enhance your DevOps process autonomously by utilizing the power of AI and ML.
Predictive Issue Detection
AI/ML predicts and prevents software issues before they occur.
Automated Code Review
ML automates code reviews to find patterns, security flaws, and code quality issues.
Intelligent Testing
AI optimizes test case selection and execution for efficient testing.
Anomaly Detection in Monitoring
ML identifies unusual system behavior in real-time monitoring data.
Release Risk Assessmen
AI assesses deployment risk based on historical and code complexity data.
Automated Incident Resolution
AI-powered chatbots help diagnose and resolve incidents faster.
Resource Scaling Optimization
AI analyzes resource usage and scales infrastructure for efficiency.
Natural Language Processing for Logs
NLP analyzes logs to troubleshoot issues and find root causes.
ChatOps and Chatbot
AI-driven chatbots provide real-time DevOps information and execute tasks.
Security and Compliance Scanning
AI/ML scans for security vulnerabilities and compliance violations in code and configurations.
Certified Cloud Service Provider used in DevOps
Our expert DevOps engineers are familiar with the most recognized cloud service providers on the market today.
Amazon Web Services (AWS)
AWS is one of the largest and most widely used cloud platforms, offering a wide range of services and tools for building, deploying, and managing applications. DevOps teams often use AWS for its scalability, reliability, and extensive infrastructure resources.
Microsoft Azure
Azure is Microsoft's cloud computing platform, providing a comprehensive suite of services and tools for DevOps practices. It is particularly popular among enterprises that use Microsoft technologies, as it seamlessly integrates with Windows- based environments.
Google Cloud Platform (GCP)
GCP offers a range of cloud services, including computing, data storage, and machine learning, which are popular for DevOps tasks such as container orchestration with Kubernetes and data analytics. Google's expertise in data and AI services is a distinguishing feature.
IBM Cloud
IBM Cloud provides a robust set of cloud services and is known for its focus on hybrid and multicloud solutions. DevOps teams may choose IBM Cloud for its enterprise-grade offerings, including AI, blockchain, and data analytics services.
"This was our app so it was nice having someone hold our hands through the process."
- Nicki Potts, SVP Product Development, PlanPlus Global
We can handle any types of DevOps Practices
Regardless of your goals or needs, we have the right talent with the right approaches.
Continuous Integration and Continuous Delivery (CI/CD)
Focusing on automating code integration, testing, and deployment to achieve a rapid and reliable software delivery pipeline.
Site Reliability Engineering (SRE)
Emphasizes the reliability and stability of software systems, often involving monitoring, incident response, and reliability testing.
DevSecOps
Integrates security practices into the DevOps pipeline to ensure that security is a fundamental part of the software development process.
NoOps
A concept that aims to minimize the need for manual operations tasks through extensive automation, allowing developers to focus solely on coding.
Reinforcement Learning Software Development
This type of software involves building systems that learn through interaction with their environment, often used in gaming, robotics, and decision-making applications.
DataOps
Extends DevOps principles to data management and analytics, focusing on the automation and collaboration of data- related processes.
MLOps (Machine Learning Operations)
Applies DevOps practices to machine learning and artificial intelligence projects, including model training, deployment, and monitoring.
Infrastructure as Code (IaC)
Treats infrastructure as code, enabling the automation of infrastructure provisioning and management using code and version control.
Chaos Engineering
Involves intentionally introducing failures and disruptions in a controlled manner to test system resilience and identify weaknesses.
Value Stream Mapping (VSM)
Analyzes the end-to-end software development process to identify bottlenecks, inefficiencies, and areas for improvement.
Kubernetes Operations (KOps)
Focuses on the management and operation of Kubernetes clusters, including automation, scaling, and monitoring.
Serverless DevOps
Adapts DevOps practices to serverless computing platforms, such as AWS Lambda or Azure Functions.
Lean DevOps
Combines Lean principles with DevOps to eliminate waste, improve efficiency, and deliver value to users more effectively.
Container DevOps
Centers around the use of containerization technologies like Docker and Kubernetes to enhance the deployment and scalability of applications.
Microservices DevOps
Optimizes DevOps practices for microservices architectures, emphasizing the management and orchestration of microservices-based applications.
DevOps Services for your Mobile App and Web Apps
Our expert app developers are also capable of applying DevOps practices into everyday app development.
Continuous Integration (CI)
Automated building, testing, and packaging of code changes for mobile apps. Ensures code quality with unit tests, UI tests, and device-specific tests.
Continuous Delivery (CD)
Automates deployment to app stores after passing tests.
Automated Testing
Automated testing on various devices and OS versions. Covers functional, performance, and compatibility testing.
Over-the-Air (OTA) Updates
Allows app updates without manual downloads.
Crash Reporting and Monitoring
Real-time monitoring of crashes and user behavior.
Containerization
Uses Docker containers for consistent environments.
Infrastructure as Code (IaC)
Manages infrastructure with code for automation.
Auto-scaling
Adjusts server instances based on traffic load automatically.
Monitoring and Analytics
Real-time performance monitoring and user behavior analytics.
Content Delivery Networks (CDNs)
Globally caches and distributes web app content.
A/B Testing and Feature Flags
Controlled feature rollout and easy rollbacks.
"The developers were also very easy to engage with, iterating, and providing technical feedback and solutions."
- Ashley Beamer, Dir. of Productions, Pinnguaq Association
Your All-In-One DevOps Service Provider
At Many Hats, our DevOps experts are familiar with all DevOps related programming tools, tech stack, databases, and frameworks.
programming languages
python
java
Lisp
c/c++
scala
javascript
go
php
ruby
perl
terraform
bash
groovy
frameworks
gitops
kanban
gitlab ci/cd
SecDevOps
Dasa
ITIL 4
SAFe
databases
MySQL
PostgreSQL
Microsoft SQL Server
Oracle Database
MongoDB
Cassandra
Redis
Amazon RDS
MariaDB
Influx DB
Timescale DB
programming tools
Git
Jenkins
Docker
Kubernetes
Terraform
Gitlab
Github
Puppet
Grafana
DataDog
