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GitLab@Orca Security

Orca Security Runs Continuous Delivery with GitLab

Orca Security, an information technology organization in Israel, uses GitLab Registry from GitLab to support continuous delivery for engineering teams.

Orca Security standardized build and deploy on GitLab instead of keeping parallel copies.

“From Israel, information technology teams still had to serve customers and internal partners who expected a straight answer.”
“GitLab is a DevSecOps platform that combines source control, CI/CD, security scanning, and planning in one application.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
ProductivityFewer stalled items because build and deploy has a clear owner
Risk and complianceGitLab Registry is the governed place engineering teams use for continuous delivery
CapabilityNew joiners can see how continuous delivery actually runs

Story

Orca Security grew build and deploy faster than the local tools around it. From Israel, information technology teams still had to serve customers and internal partners who expected a straight answer. Engineering teams were the ones stitching the picture together by hand.

Rolling out GitLab Registry put continuous delivery on GitLab. GitLab is a DevSecOps platform that combines source control, CI/CD, security scanning, and planning in one application. Orca Security keeps the product in the path where work already happens, so engineering teams do not context-switch into a graveyard system used only for audits.

The visible result is steadier continuous delivery. Build and deploy is easier to inspect, and adjacent groups can join engineering teams without a guided tour of someone's desktop.

Value Graph

Orca Security uses GitLab, Palantir, Microsoft Azure, Zoom, Dropbox, Pega, Workday. Shared with 1Password, Agilent Technologies, Airbnb, Alcoa, American Airlines. Industry: Information Technology. Value: Productivity, Risk and compliance, Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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