Summary
- Fractional Agentic AI Team Services
- Global Premium Resources
- FusionData Integration Services
- FusionData For Non-Profits
- Pickle TestOps Services
- AIOps/DevOps
- Shift-Left Automation
- Functional Automation
- Performance Engineering
- Application Performance Management
- User Experience At Scale
- Automated Deployments
- Analytics
- Service Delivery Options
AIOps/DevOps
“AIOps/DevOps” brings two proven disciplines together. DevOps automates every stage of the Software Delivery Life Cycle (SDLC), not just the final deployment into Production. This includes Continuous Integration/Continuous Delivery (CI/CD), automated testing, and automated deployments to Development, Integration, Test, Performance, Staging, and Production environments: one complete, automated pipeline. AIOps (Artificial Intelligence for IT Operations) applies AI and machine learning to the logs, metrics, and alerts your systems already produce, so problems are spotted sooner, explained faster, and, where it is safe to do so, fixed automatically. If done right, with “Best of Breed” tools, the same automation deploys to the Cloud, on-premise Bare-Metal, or Virtual Hosts, unchanged. GQP continuously researches “Best of Breed” tools (GQP Research™) to deliver services like these to our clients in the most efficient, cost-effective manner possible.
fully automated release pipeline
- Virtually never experience an unsuccessful environment deployment again. Failed deployments are one of the most common problems that keep organizations from delivering quality software and a great user experience; automated tests and quality gates in the pipeline stop bad builds before they reach users.
- Faster time to market, with a repeatable, virtually error-free Software Release Delivery Pipeline.
- Release smaller changes more often, so Production issues are resolved faster, and use AI-assisted release checks that compare each release against normal system behavior and flag risky changes early.
deploy anywhere, anytime, to any environment as your needs grow
- Infrastructure as Code: with the right “Best of Breed” tools, scale to any environment (or hybrid thereof) with the exact same scripts (AWS, Azure, Google Cloud, Bare-Metal, VMware, etc.).
- Using “Best of Breed” tools, achieve Automated “3-D Scalability” (the ability to scale Horizontally, Vertically, and Diagonally). Need more capacity? Simply add machines (virtual or physical), and the automation deploys the appropriate software and scales the system to match user demand, while AIOps capacity forecasting helps you see demand growing before your users feel it.
- Automated Provisioning: bring environments up when you need them and tear them down just as easily, rebuilding and redeploying them in minutes to tens of minutes.
AI-assisted monitoring, problem resolution & disaster recovery
- AIOps watches logs, metrics, and alerts together, groups related alerts into a single incident to cut the noise, and points to the most likely cause, so your team spends its time fixing problems instead of searching for them.
- Certain types of Production issues can be handled by Automated Remediation, often before users notice, with your people approving anything outside the agreed playbook.
- “Problem” deployments can be rolled back or rebuilt automatically, and some Disaster Recovery scenarios can be automated as well.
Need help successfully implementing “AIOps/DevOps”? Start with a free 15-minute consultation.
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