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DevOps Software
DevOps is a software development and delivery practice that emphasizes collaboration between software developers, IT operations professionals, and other stakeholders. It uses a set of tools and automation to help manage the various processes that go into developing software quickly, efficiently, and reliably. DevOps allows teams to streamline their software development activities into an automated pipeline for improved quality and faster time-to-market.
DevSecOps Software
DevSecOps software integrates security practices directly into the software development and operations lifecycle, ensuring protection is built into every stage rather than added at the end. It enables collaboration between development, security, and operations teams through automation tools that detect vulnerabilities, enforce policies, and monitor risks continuously. Features like code scanning, dependency management, container security, and infrastructure-as-code validation help identify issues early in the pipeline.
Agentic DevOps Software
Agentic DevOps tools use autonomous or semi-autonomous AI agents to plan, execute, and optimize DevOps workflows with minimal human intervention. They can monitor systems, detect issues, propose or apply fixes, and coordinate actions across CI/CD pipelines, infrastructure, and cloud services. These tools often reason over context from logs, metrics, and code repositories to make informed decisions in real time. Many agentic DevOps platforms integrate with existing DevOps stacks to augment, not replace, engineering teams. By reducing manual toil and accelerating response times, agentic DevOps tools improve reliability, scalability, and developer productivity.
Database DevOps Software
Database DevOps software is a tool utilized by organizations to streamline the development, deployment, and maintenance of their databases.
Data Fabric Software
Data fabric software is a unified data management platform that provides seamless integration, access, and governance across an organization’s entire data ecosystem, regardless of where the data is stored—on-premises, in the cloud, or in hybrid environments. Data fabric software aims to simplify and optimize data integration, management, and analytics by using advanced automation, artificial intelligence (AI), and machine learning (ML) technologies. It helps businesses ensure data consistency, accessibility, and security across multiple data sources, enabling faster and more informed decision-making. By creating a connected data environment, data fabric software improves data quality, accelerates time-to-insight, and enhances overall operational efficiency.
Application Development Software
Application development software is a type of software used to create applications and software programs. It typically includes code editors, compilers, and debuggers that allow developers to write, compile, and debug code. It also includes libraries of pre-written code that developers can use to create more complex and powerful applications.
IT Management Software
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making.
Container Orchestration Software
Container orchestration software is a platform that automates the deployment, management, scaling, and networking of containers in a distributed environment. These tools help manage the complexities of containerized applications by ensuring containers are running efficiently, scaled appropriately, and able to communicate with each other. The most popular container orchestration software uses tools like Kubernetes, Docker Swarm, or Apache Mesos, providing features such as load balancing, automated container provisioning, self-healing, and monitoring. These tools are essential for managing large-scale containerized applications and microservices, ensuring high availability, performance, and resilience.
Data Management Software
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security.
View more categories (9) for "dev-pascal"
  • 1
    HPE Ezmeral

    HPE Ezmeral

    Hewlett Packard Enterprise

    ...Accelerate time-to-value by deploying Kubernetes at scale with integrated persistent data storage for app modernization on bare metal or VMs, in your data center, on any cloud or at the edge. Harness data and get insights faster by operationalizing the end-to-end process to build data pipelines. Bring DevOps agility to the machine learning lifecycle, and deliver a unified data fabric. Boost efficiency and agility in IT Ops with automation and advanced artificial intelligence. And provide security and control to eliminate risk and reduce costs. HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases.
  • 2
    Delphix

    Delphix

    Perforce

    Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New...
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