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A direct operations credential for running AWS workloads, troubleshooting incidents and improving reliability. It is the current successor to the SysOps name.
AWS targets around one year deploying, managing and operating AWS workloads.
A hands-on credential for engineers operating Kubernetes clusters across cloud providers.
Build Linux, container and Kubernetes administration skills; practise timed troubleshooting.
For automating work across Cisco infrastructure.
Build hands-on experience with this Cisco technology before attempting the assessment.
For practitioners managing cloud infrastructure across platforms.
Build hands-on practice in the relevant job role; compare your experience with CompTIA’s recommendations.
For administrators working with Linux infrastructure.
Build hands-on practice in the relevant job role; compare your experience with CompTIA’s recommendations.
Complements a cloud certification when you provision and manage infrastructure using Terraform.
Practise real Terraform workflows, state management and reusable modules.
Demonstrates practical Linux administration ability, useful across infrastructure, cloud operations and DevOps roles.
Prepare through hands-on Linux system administration.
Fits experienced engineers responsible for release automation and resilient AWS operations. Most useful alongside hands-on delivery ownership.
Build experience operating AWS systems and automating deployments before this professional exam.
For maintaining network automation at greater scale.
Build hands-on experience with this Cisco technology before attempting the assessment.
Supports engineers improving software delivery and reliability on Google Cloud.
Practise production operations, delivery automation and service reliability.
Useful for engineers responsible for delivering software and managing the flow from source control to production.
Have experience both administering and developing in Azure, with strength in at least one.
Brings together traditional model operations and generative AI operations. Useful for engineers who own deployment, evaluation and monitoring.
Microsoft expects Python, a data-science background and experience with Azure ML, Foundry and DevOps.
These are Global Certs IT editorial fit ratings, not official provider rankings or learner reviews. A 5/5 role match is directly aligned with the role; 4/5 adds supporting skills. Experience adjusts the score to help you distinguish a practical next step from a stretch goal.
With “Any experience”, ratings show role relevance alone. A credential supports your profile; practical skills, projects and your target employer’s technology still matter.
Official pages were checked on 2026-09-13. Bookable betas are labelled. Known retired exams are excluded from recommendations. Confirm exam versions, regional availability, eligibility and fees on the linked official page before paying.
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Build a deployment pipeline with policy checks, staged releases, service-level objectives and rollback.