Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release.
More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform.
Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us.
Learn more
SaaSify is an agentic Cloud GTM platform for ISVs and software companies selling through AWS, Azure, and GCP marketplaces. It automates the entire marketplace motion: listings, private offers, co-sell, funding requests, and revenue reconciliation. While hyperscaler experts guide your team through FTR approvals, partner benefits, and certifications, AI agents draft and file listings in about 90 minutes, send private offers directly from your CRM, find and file co-sell opportunities to partner portals, and automate funding request tracking so committed cloud funds do not go unclaimed.
SaaSify also gives real-time visibility into revenue, subscriptions, and margin across all three clouds. Over 500 ISVs use SaaSify to manage more than $5B in marketplace revenue, with listings live in as little as 14 days. Rated 4.9 out of 5 on G2
Learn more
Google Cloud Deployment Manager
Create and manage cloud resources with simple templates. Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. You can also use Python or Jinja2 templates to parameterize the configuration and allow reuse of common deployment paradigms such as a load balanced, auto-scaled instance group. Treat your configuration as code and perform repeatable deployments. By creating configuration files which define the resources, the process of creating those resources can be repeated over and over with consistent results. Many tools use an imperative approach, requiring the user to define the steps to take to create and configure resources. A declarative approach allows the user to specify what the configuration should be and let the system figure out the steps to take. The user can focus on the set of resources which comprise the application or service instead of deploying each resource separately.
Learn more