Everything Ops (XOps) aims to shorten the system development cycles, provide continuous delivery with high software quality, and automate and monitor the analytics and AI tasks. XOps streamlines the processes and capitalize on the opportunities across different domains.
GitOps is a DevOps methodology where the entire system state, including infrastructure and application configurations, is declaratively described and version-controlled in a Git repository. Operational tasks and changes are managed through Git Pull Requests (PR) or commits, triggering automated workflows as Continuous Pipelines for deployment and synchronization. This approach ensures that the actual system state converges with the desired state defined in the Git repository. GitOps is commonly applied in Kubernetes environments, leveraging Git as the authoritative source for system configurations and changes, promoting automation and versioning throughout the development lifecycle.
GitOps Working Group is a vendor-neutral community of interest centered around GitOps. The group is open to anyone interested in the topic of GitOps. The group is vendor-neutral and open to all contributors.
Everything as Code (XaC) is a concept that promotes the use of declarative languages to define and manage the entire system state as code. This approach enables the use of version control systems (VCS) to track changes and automate workflows for system configurations and changes. XaC leveraging Git as the authoritative source for system configurations and changes, promoting automation and versioning throughout the development lifecycle.
Pull Requests (PR)
Pull Requests (PR) is a concept that promotes the use of Git pull requests to manage changes to the system state. This approach enables the use of version control systems (VCS) to track changes and automate workflows for system configurations and changes.
Pulumi is a cloud engineering platform that enables developers and infrastructure teams to build, deploy, and manage cloud applications and infrastructure on any cloud using any language.
Flux is a tool that automatically ensures that the state of a cluster matches the config in git. It monitors all relevant image repositories, detects new images, triggers deployments and updates the desired running configuration based on that (and a configurable policy).
Tekton is a powerful and flexible open-source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premise systems.
Kustomize is a standalone tool to customize Kubernetes objects through a kustomization file. Kustomize traverses a Kubernetes manifest to add, remove or update configuration options without forking.
KubeVela is a modern application platform that enables developers to manage applications with higher-level abstractions and to make the right trade-offs between flexibility and control.
1.2. DevOps
DevOps is a set of practices, tools, and a cultural philosophy that automate and integrate the processes between software development (Dev) and IT operations (Ops). It emphasizes team empowerment, cross-team communication and collaboration, and technology automation. DevOps aims to shorten the systems development life cycle and provide continuous process with high software quality. It is a response to the interdependence of software development and IT operations. DevOps promotes a culture of shared responsibility and accountability between development and operations teams, enabling organizations to deliver applications and services at high velocity.
GitOps streamlines the development process by using Git as the single source of truth for declarative infrastructure and applications. GitOps is a methodology that embraces XOps principles and serves as a best practice within DevOps.
Agile
Agile software development is an approach to software development under which requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customer(s)/end user(s). It advocates adaptive planning, evolutionary development, early delivery, and continual improvement, and it encourages rapid and flexible response to change.
ITIL
ITIL (Information Technology Infrastructure Library) is a framework that defines the processes and attributes of a complete IT service lifecycle model, based on five key areas or phases. ITIL covers the entire lifecycle of IT services, including strategy, design, implementation, operation and continual improvement. ITIL is a set of detailed practices for IT service management (ITSM) that focuses on aligning IT services with the needs of business.
DORA metrics are a set of four metrics that measure software delivery and operational performance. The metrics were developed by DevOps Research and Assessment (DORA), a group of DevOps practitioners and researchers.
Azure DevOps is a Software as a service (SaaS) platform from Microsoft that provides an end-to-end DevOps toolchain for developing and deploying software, including version control, build automation and release management.
GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate and build software.
Bitbucket is a web-based version control repository hosting service owned by Atlassian, for source code and development projects that use either Mercurial or Git revision control systems.
1.3. DevSecOps
DevSecOps stands for development, security, and operations. DevSecOps is an extension of the DevOps philosophy, emphasizing the integration of security practices throughout the entire software development lifecycle. It involves the integration of security into the development and operational processes, implementing continuous security testing, and fostering collaboration between development, operations, and security teams. In DevSecOps, security is not treated as a separate entity but is an integral part of the overall development and delivery pipeline. The goal is to proactively identify and address security issues early in the development process, ensuring a secure and resilient software environment.
Benefits and Features:
Development
Development is the process of planning, coding, building, and testing the application.
Security
Security introducing earlier in the software development cycle. Where, programmers ensure that the code is free of security vulnerabilities, and security practitioners test the software further before the company releases it.
Operations
The operations team releases, monitors, and fixes any issues that arise from the software.
DevOps is a set of practices that combines software development (Dev) and IT operations (Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.
DevSecOps Working Group is a vendor-neutral community of interest centered around DevSecOps. The group is open to anyone interested in the topic of DevSecOps. The group is vendor-neutral and open to all contributors.
Continuous Security is the process of integrating security practices and tools into every stage of the development cycle. It involves using automated tools and techniques to identify and mitigate security scans and risks, such as vulnerabilities, threats, or breaches.
Continuous Compliance is the process of ensuring that the software adheres to the relevant laws, regulations, standards, licenses, and policies throughout the development cycle. It involves using automated tools and techniques to check and enforce compliance rules, such as security controls, data privacy, or audit trails.
Security as Code (SaC) is a paradigm that treats security with the same rigor as software code. This approach involves storing security policies and configurations within version-controlled code repositories, using markup languages like YAML or JSON. SaC integrates security workflows into the development pipeline, fostering collaboration, versioning, and automation. It emphasizes practices such as structured repository organization, version control integration, and automated builds to ensure security evolves seamlessly with code changes.
[Application Security Testing]()
TODO
[Penetration Testing]()
TODO
[Digital Signing]()
TODO
1.4. BizDevOps
BizDevOps, also known as DevOps 2.0, is an approach to software development that encourages developers, operations staff and business teams to work together so the organisation can develop software more quickly, be more responsive to user demand, and ultimately maximise revenue.
1.5. AIOps
AIOps, or Artificial Intelligence for IT Operations, is the application of artificial intelligence (AI) capabilities, such as natural language processing and machine learning models, to automate and streamline operational processes. It involves the use of algorithms and statistical models to improve the detection, diagnosis and resolution of IT issues. AIOps platforms combine big data and ML capabilities to enhance and partially replace a wide range of IT operations processes and tasks, including availability and performance monitoring, event correlation and analysis, IT service management and automation. AIOps integrates data from multiple sources, such as logs, metrics and events, to enable proactive and intelligent decision making in managing the IT infrastructure, predicting potential problems and providing actionable insights based on data analysis.
DevSecOps is an extension of the DevOps philosophy, emphasizing the integration of security practices throughout the entire software development lifecycle. It involves the integration of security into the development and operational processes, implementing continuous security testing, and fostering collaboration between development, operations, and security teams. In DevSecOps, security is not treated as a separate entity but is an integral part of the overall development and delivery pipeline. The goal is to proactively identify and address security issues early in the development process, ensuring a secure and resilient software environment.
Software metrics are quantitative measures that can be used to measure the quality of software. They are used to measure the quality of software products, processes, and resources.
Continuous Monitoring
Continuous monitoring is the process and technology used to detect compliance and risk issues associated with an organization's financial and operational environment. It involves the use of automated tools and techniques to monitor and analyze the performance of IT systems, applications, and infrastructure. Continuous monitoring is a key component of DevOps, enabling organizations to identify and address issues early in the development process.
Tools and Frameworks:
1.6. MLOps
MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML (or deep learning) lifecycle. Similar to the DevOps term in the software development world, MLOps looks to increase automation and improve the quality of production ML while also focusing on business and regulatory requirements. MLOps applies to the entire lifecycle - from integrating with model generation (software development lifecycle - SDLC) to the deployment and management of production models.
1.7. DataOps
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has evolved to include automated, data-centric solutions that streamline data delivery into data lakes and data warehouses, and promote collaboration between data consumers and data creators.
1.8. CloudOps
CloudOps is a set of practices that combines software development (Dev) and IT operations (Ops) to help an organization rapidly deliver applications and services. CloudOps is a process that automates and oversees processes for cloud-based applications and services, from creation to deployment and maintenance.
1.9. SecOps
SecOps is a security operations approach that emphasizes collaboration between information security and IT operations teams. SecOps is often used to describe a security culture and approach to information security that incorporates security practices into DevOps processes. The goal of SecOps is to improve the overall security posture of an organization by integrating security practices into DevOps processes.
1.10. NetOps
NetOps is a methodology that applies DevOps principles to network operations. NetOps aims to improve network service delivery and reliability by using automation and programmability to replace manual network configuration and management processes.
1.11. FinOps
FinOps is the practice of bringing financial accountability to the variable spend model of cloud, enabling distributed teams to make business trade-offs between speed, cost, and quality. FinOps enables collaboration between technology, business and finance teams to manage the unit economics of cloud with three practices: cultural, operational, and technological.
1.12. NoOps
NoOps is the concept that an IT environment can become so automated and abstracted from the underlying infrastructure that there is no need for a dedicated team to manage software in-house. The term NoOps (no operations) is a reaction to the DevOps (development and operations) trend. The idea behind NoOps is that as cloud computing and software as a service (SaaS) applications become more prevalent, it will be easier for enterprises to outsource much of the day-to-day provisioning and management of IT resources. In theory, NoOps frees developers and operations teams up to focus on the core business instead of worrying about infrastructure management.
NoOps (No Operations), which means achieving a fully automated IT environment that does not require any human intervention. In NoOps, developers can focus on their core business logic and leave the maintenance, scaling, and security to the cloud providers. NoOps aims to eliminate the friction and overhead between development and operations.
Everything as a Service (XaaS) refers to the delivery concepts of information technology and cloud computing of a wide range of services over the internet. XaaS is a collective term that stands for a number of things including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS).
1.13. ChaosOps
ChaosOps is the practice of applying Chaos Engineering principles and techniques to IT operations. ChaosOps involves deliberately injecting failures and disruptions into the system to test its resilience and identify potential issues. ChaosOps aims to improve the reliability, stability, and quality of the system .
1.14. CyberOps
CyberOps (Cybersecurity Operations) focuses on the monitoring, detection, analysis, and response to cybersecurity threats and incidents within an organization's IT infrastructure and networks.
Benefits and Features:
Enhanced threat detection and response capabilities, improved security posture, reduced risk of data breaches, and compliance with regulatory requirements.
Conventions and Standards:
Security operations center (SOC) procedures, incident response frameworks (e.g., NIST Cybersecurity Framework), and security information and event management (SIEM) standards.
Tools and Frameworks:
SIEM platforms like Splunk, IBM QRadar, and Elastic SIEM, threat intelligence platforms, security orchestration, automation, and response (SOAR) tools, and endpoint detection and response (EDR) solutions.
Everything Ops (XOps)
Everything Ops (XOps) aims to shorten the system development cycles, provide continuous delivery with high software quality, and automate and monitor the analytics and AI tasks. XOps streamlines the processes and capitalize on the opportunities across different domains.
1. Category
1.1. GitOps
GitOps is a DevOps methodology where the entire system state, including infrastructure and application configurations, is declaratively described and version-controlled in a Git repository. Operational tasks and changes are managed through Git
Pull Requests (PR)or commits, triggering automated workflows asContinuous Pipelinesfor deployment and synchronization. This approach ensures that the actual system state converges with the desired state defined in the Git repository. GitOps is commonly applied in Kubernetes environments, leveraging Git as the authoritative source for system configurations and changes, promoting automation and versioning throughout the development lifecycle.Conventions and Standards:
GitOps Working Group
Everything as Code (XaC)
Pull Requests (PR)
Tools and Frameworks:
Pulumi
Flux
ArgoCD
Jenkins X
Tekton
Kustomize
KubeVela
1.2. DevOps
DevOps is a set of practices, tools, and a cultural philosophy that automate and integrate the processes between software development (Dev) and IT operations (Ops). It emphasizes team empowerment, cross-team communication and collaboration, and technology automation. DevOps aims to shorten the systems development life cycle and provide continuous process with high software quality. It is a response to the interdependence of software development and IT operations. DevOps promotes a culture of shared responsibility and accountability between development and operations teams, enabling organizations to deliver applications and services at high velocity.
Conventions and Standards:
GitOps
Agile
ITIL
DORA
Tools and Frameworks:
Jenkins
GitHub
Azure DevOps
GitLab
Atlassian
Bitbucket
1.3. DevSecOps
DevSecOps stands for development, security, and operations. DevSecOps is an extension of the DevOps philosophy, emphasizing the integration of security practices throughout the entire software development lifecycle. It involves the integration of security into the development and operational processes, implementing continuous security testing, and fostering collaboration between development, operations, and security teams. In DevSecOps, security is not treated as a separate entity but is an integral part of the overall development and delivery pipeline. The goal is to proactively identify and address security issues early in the development process, ensuring a secure and resilient software environment.
Benefits and Features:
Development
Security
Operations
Conventions and Standards:
DevOps
DevSecOps Working Group
Continuous Security
Continuous Compliance
Tools and Frameworks:
Security as Code (SaC)
[Application Security Testing]()
[Penetration Testing]()
[Digital Signing]()
1.4. BizDevOps
BizDevOps, also known as DevOps 2.0, is an approach to software development that encourages developers, operations staff and business teams to work together so the organisation can develop software more quickly, be more responsive to user demand, and ultimately maximise revenue.
1.5. AIOps
AIOps, or Artificial Intelligence for IT Operations, is the application of artificial intelligence (AI) capabilities, such as natural language processing and machine learning models, to automate and streamline operational processes. It involves the use of algorithms and statistical models to improve the detection, diagnosis and resolution of IT issues. AIOps platforms combine big data and ML capabilities to enhance and partially replace a wide range of IT operations processes and tasks, including availability and performance monitoring, event correlation and analysis, IT service management and automation. AIOps integrates data from multiple sources, such as logs, metrics and events, to enable proactive and intelligent decision making in managing the IT infrastructure, predicting potential problems and providing actionable insights based on data analysis.
Conventions and Standards:
DevSecOps
Softare Metrics
Continuous Monitoring
Tools and Frameworks:
1.6. MLOps
MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML (or deep learning) lifecycle. Similar to the DevOps term in the software development world, MLOps looks to increase automation and improve the quality of production ML while also focusing on business and regulatory requirements. MLOps applies to the entire lifecycle - from integrating with model generation (software development lifecycle - SDLC) to the deployment and management of production models.
1.7. DataOps
DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time of data analytics. While DataOps began as a set of best practices, it has evolved to include automated, data-centric solutions that streamline data delivery into data lakes and data warehouses, and promote collaboration between data consumers and data creators.
1.8. CloudOps
CloudOps is a set of practices that combines software development (Dev) and IT operations (Ops) to help an organization rapidly deliver applications and services. CloudOps is a process that automates and oversees processes for cloud-based applications and services, from creation to deployment and maintenance.
1.9. SecOps
SecOps is a security operations approach that emphasizes collaboration between information security and IT operations teams. SecOps is often used to describe a security culture and approach to information security that incorporates security practices into DevOps processes. The goal of SecOps is to improve the overall security posture of an organization by integrating security practices into DevOps processes.
1.10. NetOps
NetOps is a methodology that applies DevOps principles to network operations. NetOps aims to improve network service delivery and reliability by using automation and programmability to replace manual network configuration and management processes.
1.11. FinOps
FinOps is the practice of bringing financial accountability to the variable spend model of cloud, enabling distributed teams to make business trade-offs between speed, cost, and quality. FinOps enables collaboration between technology, business and finance teams to manage the unit economics of cloud with three practices: cultural, operational, and technological.
1.12. NoOps
NoOps is the concept that an IT environment can become so automated and abstracted from the underlying infrastructure that there is no need for a dedicated team to manage software in-house. The term NoOps (no operations) is a reaction to the DevOps (development and operations) trend. The idea behind NoOps is that as cloud computing and software as a service (SaaS) applications become more prevalent, it will be easier for enterprises to outsource much of the day-to-day provisioning and management of IT resources. In theory, NoOps frees developers and operations teams up to focus on the core business instead of worrying about infrastructure management.
NoOps (No Operations), which means achieving a fully automated IT environment that does not require any human intervention. In NoOps, developers can focus on their core business logic and leave the maintenance, scaling, and security to the cloud providers. NoOps aims to eliminate the friction and overhead between development and operations.
Tools and Frameworks:
1.13. ChaosOps
ChaosOps is the practice of applying Chaos Engineering principles and techniques to IT operations. ChaosOps involves deliberately injecting failures and disruptions into the system to test its resilience and identify potential issues. ChaosOps aims to improve the reliability, stability, and quality of the system .
1.14. CyberOps
CyberOps (Cybersecurity Operations) focuses on the monitoring, detection, analysis, and response to cybersecurity threats and incidents within an organization's IT infrastructure and networks.
Benefits and Features:
Enhanced threat detection and response capabilities, improved security posture, reduced risk of data breaches, and compliance with regulatory requirements.
Conventions and Standards:
Security operations center (SOC) procedures, incident response frameworks (e.g., NIST Cybersecurity Framework), and security information and event management (SIEM) standards.
Tools and Frameworks:
SIEM platforms like Splunk, IBM QRadar, and Elastic SIEM, threat intelligence platforms, security orchestration, automation, and response (SOAR) tools, and endpoint detection and response (EDR) solutions.
ClickOps
DevRel
DevRel