Recently on SearchITOperations
Don't panic! The definitive guide to IT troubleshooting
IT problems can cause distress, chaos and, well, panic -- but they don't have to. These tips and tools guide admins through IT troubleshooting for the best chance of success.
More Highlights
- Cloud Foundry PaaS shops hone software delivery process
Enterprises that have deployed Cloud Foundry platform as a service found it catalyzed new thinking about the application delivery process and other organizational practices.
- Unmask IT operational risks for resilient apps
Sidney Dekker, a speaker on safety, illustrates the causes of failure in high-consequence domains and how IT organizations can banish them in this video.
- Who put the AI in software?
With artificial intelligence, anything seems possible. And that leaves a whole lot of room for the imagination to wonder about how the use of AI in software tools can change how the work gets done -- and who does it.
The anxiety is understandable. The hyperbole is harder to sort out because, well, when it comes to AI, no one knows quite where to put the line between rational and irrational worries. Will AI at some point control every aspect of your life? Probably not. Will AI push you out of a job? Quite possibly.
Using AI in software development is one way to make your IT resources more intelligent and more automated. If AI can test software faster and better, shouldn't you be doing it that way? That's a question we take up in this first issue of Modern Stack. Also included are articles and columns delving into multi-cloud management, serverless computing and how operations teams can hold up their end of the DevOps bargain.
Definitions
- AIOps (artificial intelligence for IT operations)
Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other artificial intelligence (AI) technologies to automate the identification and resolution of common information technology (IT) issues.
- continuous deployment
Continuous deployment is a strategy for software releases wherein any code commit that passes the automated testing phase is automatically released into the production environment, making changes that are visible to the software's users.
- container image
A container image is an unchangeable, static file that includes executable code so it can run an isolated process on information technology (IT) infrastructure.
Browse ITOperations Topics
ALM for IT
Find expert tips here for IT operations and DevOps teams on ensuring app resources meet demand, applications and new app features scale and perform acceptably in production, and rapid iterations do not create maintenance issues.
Recent Definitions
- continuous deployment
Continuous deployment is a strategy for software releases wherein any code commit that passes the automated testing phase is automatically released into the production environment, making changes that are visible to the software's users.
- hands-off infrastructure management
Hands-off infrastructure management is the remote, automated administration of server, storage and network resources. When products are marketed with the label "hands-off," it means they have been designed and configured to run with minimal human assistance.
- Ansible
Ansible is an open source IT configuration management (CM) and automation platform, provided by Red Hat.
Highlights
- Don't panic! The definitive guide to IT troubleshooting
- Cloud Foundry PaaS shops hone software delivery process
- Unmask IT operational risks for resilient apps
More ALM for IT Topics
- ALM and Automated Testing Choices
- ALM Tools, Processes and Strategy
- Application Maintenance on Production Systems
- Application Rollout Planning and Problems
- IT Ops Implications of Continuous Delivery
- Matching IT Resources to Application Requirements
- Understanding Software Deployments for DevOps
Scale-Out Apps
The distributed application architecture topic center offers advice and tips for IT operations professionals handling new application types and the methods by which distributed, scale-out applications are deployed. These include virtualization containers and microservices, event-driven computing, and cloud application management.
Recent Definitions
- microservices
Microservices, or microservice architecture, is an approach to application development in which a large application is built as a suite of modular components or services.
- container image
A container image is an unchangeable, static file that includes executable code so it can run an isolated process on information technology (IT) infrastructure.
- chaos engineering
Chaos engineering is the process of testing a distributed system to ensure that the system can withstand unexpected disruptions in function.
Highlights
- Serverless technology obfuscates workflows, performance data
- Master application scalability in cloud computing alongside devs
- Docker vs. Mesosphere battleground shifts focus to Kubernetes
More Scale-Out Apps Topics
- Deploying Microservices
- Event-Driven and Serverless Computing
- Managing Cloud-Native Applications
- Managing Virtual Containers
IT Automation
The IT automation and orchestration topic center provides comprehensive resources on IT automation as well as processes and techniques to orchestrate IT tasks, and the skills required to manage them. Find news and tips covering automation tools, configuration management, as well as job scheduling here.
Recent Definitions
- AIOps (artificial intelligence for IT operations)
Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other artificial intelligence (AI) technologies to automate the identification and resolution of common information technology (IT) issues.
- continuous deployment
Continuous deployment is a strategy for software releases wherein any code commit that passes the automated testing phase is automatically released into the production environment, making changes that are visible to the software's users.
- Ansible
Ansible is an open source IT configuration management (CM) and automation platform, provided by Red Hat.
Highlights
- Who put the AI in software?
- Resolve issues between Python and Linux with virtualenv
- Try these Salt commands to master the config management tool
More IT Automation Topics
Back to TopIT Systems Management
The IT systems management topic center is dedicated to tools and technologies that enable more visibility into IT infrastructure, integration between IT management tools, tailored alerts for IT professionals and new areas of performance monitoring and management. Look here for expert tips and tech news.
Recent Definitions
- AIOps (artificial intelligence for IT operations)
Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML) and other artificial intelligence (AI) technologies to automate the identification and resolution of common information technology (IT) issues.
- API management
API management is the process of overseeing application programming interfaces (APIs) in a secure, scalable environment.
- z/OS
Z/OS is a 64-bit operating system (OS) developed by IBM for its family of z/Architecture enterprise mainframe computers, including the zEnterprise 196 and zEnterprise 114.
Highlights
- Don't panic! The definitive guide to IT troubleshooting
- Serverless technology obfuscates workflows, performance data
- Bots know better: Maybe AIOps tools should drive your stack
More IT Systems Management Topics
- API Management for IT Tools
- Cloud Monitoring and Management
- IT Log Management and Reporting
- Real-Time Performance Monitoring and Management
- VM Management and Monitoring
DevOps Culture
Find resources on certifications and DevOps job skills that will enhance your career in the modern IT operations topic center. Get team organization and leadership strategies, tips on managing DevOps and traditional teams within the same IT organization, and ideas for beginning or improving your DevOps rollout.
Recent Definitions
- rugged DevOps
Rugged DevOps is an approach to software development that places a priority on ensuring that code is secure at all stages of the software development lifecycle.
- DevOps
In its most broad meaning, DevOps is an operational philosophy that promotes better communication between development and operations as more elements of operations become programmable. In its most narrow interpretation, DevOps describes the part of an organization’s information technology (IT) team that creates and maintains infrastructure.
- DevOps as a Service
DevOps as a Service (DaaS) is a delivery model for a set of tools that facilitates collaboration between an organization's software development team and the operations team. In this delivery model, the DaaS provider collects the disparate tools that cover various aspects of the overall process and connects these tools to work together as one unit.
Highlights
- Don't panic! The definitive guide to IT troubleshooting
- Unmask IT operational risks for resilient apps
- Become an infrastructure developer to get code to production faster