What is DevOps?
DevOps is used in IT to achieve a certain philosophical perspective in project or team management involving greater efficiency in communications between development teams and departmental or organizational operations teams. Heightened communications efficiency allows combining individuals, tools, and working practices.
The blending of people, processes, and an evolution of organizational culture fuels business transformation and enterprise-level insight. The result of ground-up insight is the overall improvement of the business.
A subtle initial mindset change lays the groundwork for greater momentum that leads to organizational change. The initiative combines products, engineering, security, IT, operations, etc. and, when modernized to bring in automation, achieves organizational optimization.
What does DevOps mean for development and operations?
DevOps brings together development (software creators and writers) and operations (responsible for deploying said software), two historically siloed departments and roles. In essence, DevOps solves a communication problem.
DevOps changes and improves the relationship between development and operations through advocating and facilitating better communication and collaboration between the two business departments.
What are the components of DevOps?
Components of DevOps can be broken into two categories: critical (broad) and key (technical).
· Security: Compromised security can be the result of introduced vulnerabilities that are ignored or simply unknown.
· Process: In a secure DevOps system, an automated product journey allows for standardized communication resulting in rigorous product testing, increasing product quality before it reaches the customer.
· Automation: Not all aspects of testing and code development necessitate human involvement, so automation can streamline the development process.
· Monitoring: As a means of further quality control, security teams must continuously monitor a product even after completion and delivery.
· Automated Delivery Pipeline: A systematic and detailed list that begins with new code publishing and completes the production process of the code. Automation follows pipeline completion.
· Value Stream Management (VSM): Ensures the mainstay of software product development is customers’ value.
· Configuration Management: Identifies the resources at deploy time or run time by substantiating that the application relates only to the resources specific to its running environment from source code to configuration file.
· Regular Integration: Deployment of an application to collaborate with other applications and components or principles in an ecosystem is an integration.
· Automated Monitoring and Health Checks: As mentioned as a critical component, Automated Monitoring and Health Checks can be more refined to serve as a preventative measure, addressing and finding solutions to problems even before a glitch is felt or realized by the end user.
· Firefighter Role: If automated monitoring and health checks take on a preventative or proactive role, the firefighter role is more reactive and will minimize interruptions, distractions, or slowdowns due to poor implementation.
· Infrastructure as Code: Perhaps the most important component of DevOps. Because past development software tools were developed to solve organizational issues, many techniques are not incorporated into the business infrastructure. The term “Infrastructure as Code” (IaC) implies best methods resulting from functionality code scripting.
What is CI/CD in DevOps?
The importance of CI/CD (continuous integration and continuous delivery) is that such actions speed up development, and faster implementation is thus achieved. A practice in which a software development lifecycle is automated.
The practical value of CI/CD is clear. As mentioned in both key and critical components, automation is a valuable tool for multiple reasons.
During the software release process, continuous integration (CI) refers to the build/integration stage, where developers consistently merge their changes into the main repository of a control system version. After merging, builds and tests are automatically run. Once these tests are run, the CI will build on new code changes to the main repository.
Further automated testing and integration—as well as performance of UI tests, integration tests, and load tests—are undertaken by continuous delivery (CD). The operations team triggers the deployment instead of continuous deployment (automatically enacted).
CI/CD benefits DevOps by:
· Making code changes more manageable.
· Identifying fault isolations quickly.
· Improving mean time to resolution (MTTR).
· Continuous testing.
· Real-time feedback.
· Diminished possibility of faulty code in production.
HPE and DevOps
As an integral process in cutting down costly errors and reducing production time, DevOps increases efficiency on the enterprise level. HPE Ezmeral Runtime Enterprise allows businesses the efficiency, speed, and agility of containers to enterprise at scale.
HPE ML Ops standardizes a set of best practices and tools that facilitates designing, building, deployment and maintenance machine learning models in production. HPE ML Ops is a cutting-edge DevOps tool that removes “silo-ization” in the enterprise environment, thereby minimizing conflicting formats, security requirements, privacy issues, and lack of resources.
Using a DevOps approach, HPE DataOps manages data to get deep insights into a company’s data. Taking DevOps a step further, data scientists can combine with DevOps to achieve rapid innovation through better data management and analytics development.
HPE Ezmeral and HPE GreenLake software suites provide simple, scalable, enterprise level solutions by building, training and deploying models to speed workload execution, and enact machine learning lifecycles with DevOps-like speed.