Cloud-based staffing and workforce management platform. Offers applicant tracking, onboarding, time tracking, and payroll. Supports collaboration and analytics.
Automate and manage infrastructure provisioning to ensure consistency and compliance.
Build, deploy, and manage microservices with integrated tools and services.
Simplify management of APIs with built-in monitoring and analytics.
Deploy and manage cloud applications and databases efficiently.
Easily integrate and customize each skill quickly using modules inside IDE, the Cloud (AWS, GCP, Azure), or Machine Learning frameworks like PyTorch.
Facilitates team collaboration on AI and ML projects with transparent management and team view.
Provides a specialized IDE for developing and integrating AI features into applications, with cloud and machine learning framework support.
Empowers knowledge managers with tools to collect, organize, and manage complex data.
Allows teams to manage projects efficiently with all integrated tools, tasks, and document sharing capabilities.
Tools for centralized control to manage resources, deploy applications, and monitor performance across cloud providers.
Enables teams to define and manage infrastructure through code, enhancing consistency and reducing errors.
Enhances portability and scalability, allowing applications to be transferred between cloud environments.
Provides insights into usage patterns and expenditures, helping businesses make informed decisions to align with budgets.
AI enables teams to make smarter decisions through predictive analytics, allowing them to analyze historical data, identify patterns, and predict potential issues.
AI enhances the DevOps pipeline by automating code quality and security checks, improving software reliability and security.
AI introduces intelligent testing solutions, optimizing test cases for efficiency through machine learning algorithms.
AI-driven incident management systems can automatically detect anomalies, prioritize incidents, and suggest resolutions.
AI-driven incident management systems help in quick identification and resolution of incidents, reducing downtime.
AI analyzes data from development lifecycle stages to provide insights for process improvement.
Ensures changes are tracked and developers can collaborate, reducing conflicts. Look for tools compatible with major version control systems like Git, Mercurial, and SVN.
Ensures SCM tool integrates with IDEs, CI tools, and other components of your workflow for efficiency and collaboration.
Ensures the SCM tool can accommodate growth, handling increased codebases, complexity, and user base as projects expand.
Supports parallel development by managing multiple features, tracking branches, releases, and hotfixes, while minimizing conflicts.
Prioritizes security with role-based access control, encryption, and secure authentication to add trust and accountability.
Provides quick response times for better productivity, especially during commits and checkouts.
Facilitates testing and deployment by integrating seamlessly with CI/CD tools, ensuring streamlined development.
Provides a robust community for troubleshooting and best practices, along with timely updates and customer support.
Integrates security measures earlier in the development process to identify vulnerabilities during the initial stages, ensuring early detection and remediation.
Automates security testing processes including static analysis, dynamic analysis, and interactive testing to improve efficiency and accuracy in security assessments.
Promotes collaboration and communication among traditionally separate teams like security, development, and operations, fostering shared understanding and responsibilities.
Enables continuous monitoring of applications and infrastructure to provide real-time visibility into security posture, identifying and addressing security issues as they arise.
Seamlessly integrates with CI/CD pipelines to automate security checks during development and deployment, preventing security as a bottleneck.
Offers container security tools like vulnerability scanning and run-time protection to address security challenges unique to containerized applications.
Incorporates threat intelligence and provides capabilities for rapid incident detection and response, enhancing the ability to identify and mitigate security threats.
Assists in ensuring secure configurations by automating enforcement of security policies, reducing risk of misconfigurations.
Provides the power of pre-built pipelines to streamline application deployment and make the deployment process efficient.
Seamlessly integrates with a variety of tech stacks including MERN, MEAN, Python, Java/Spring Boot, PHP, and .Net.
Features a toolkit with specialized open-source tools like Jenkins, SonarQube, MERN stack, GitHub, Kubernetes, Docker, and Elasticsearch for seamless deployment experiences.
Supports deployment whether using public cloud services or cloud-native solutions like AWS and Azure.
Setting up zero-downtime continuous integration/continuous deployment solutions, such as Blue-Green deployment using Kubernetes and repository management tools like Nexus or JFrog, to ensure availability and reliability.
Automate infrastructure provisioning with tools like Ansible, Chef, and Puppet to enhance application deployment, improve efficiency, and adapt to various environments.
Proficient setup and integration with open-source development and operations tools such as Jenkins, SonarQube, Kubernetes, Docker, ElasticSearch, and others to optimize DevOps workflows.
Microservices architecture is considered one of the most advanced applications in DevOps, with significant market growth expected by 2026.
Security is becoming a core aspect of DevOps, with predictions that DevSecOps will drive a large percentage of new applications, particularly in the Asia-Pacific region.
Automation of the delivery, configuration, and management of IT infrastructure using management tools is gaining traction, with extensive use in many organizations.
Organizations are incorporating AI to automate processes, with many DevOps teams expected to use AI for application and infrastructure monitoring.
Developers are utilizing low-code software which provides easier development with drag and drop functionality, facilitating rapid application development.
This platform is suitable for all business sizes, making it versatile for different company scales.
Ensures that your data is safe and secure within their services.
Allows you to connect with a live agent for support, offering real-time assistance.
Provides a combination of DevSecOps accelerator tools and a multi-cloud platform, facilitating integrated operations.
Enhances collaboration between DevSecOps, Agile, and ITSM teams, enabling smoother workflow between these sectors.
Supports various cloud providers within the multi-cloud platform, offering flexibility in service integration.
Addresses security concerns through robust security protocols and measures in the DevSecOps Accelerator.
Customizable workflows within the DevSecOps Accelerator allow alignment with specific business processes.
Handles and supports continuous integration and continuous delivery (CI/CD) efficiently.