Originally reported by devops.com on August 18, 2018.
SnapLogic Brings Enterprise Integration into the DevOps Toolchain
SnapLogic announced several updates to its Enterprise Integration Cloud platform that move the product closer to standard DevOps practices. The headline addition is GitHub support, which allows integrations built with Snap connectors to be stored, versioned, and shared through GitHub repositories alongside existing application code.
The release also included integration with the Mesosphere DC/OS container platform, a new service catalog, enhancements to the Iris AI recommendation engine, and improvements to API monitoring and broken-pipeline search tooling.
GitHub Support: Sharing and Reusing Snap Connectors in CI/CD Pipelines
Craig Stewart, Vice President of Product Management at SnapLogic, explained that GitHub support lowers the barrier for developers of all skill levels to share preconfigured integrations. Because the integrations live in the same GitHub repositories developers already use for application code, they become first-class citizens in CI/CD workflows.
Practical benefits of the GitHub integration include:
- Version control for integration pipelines: Teams can track changes to Snap connector configurations just as they track source code changes.
- Discoverability through a Patterns Catalog: Preconfigured connectors are surfaced in a central catalog, making it easier for developers to find and reuse existing integration patterns rather than rebuilding them from scratch.
- CI/CD inclusion: Integration pipelines can be embedded directly into automated build and deployment workflows.
This is particularly relevant for organizations pursuing a self-service integration model, where developers across teams need to consume pre-approved integration patterns without requiring deep platform expertise.
Mesosphere DC/OS and Kubernetes Support
SnapLogic added support for the Mesosphere DC/OS platform in direct response to customer demand. At the time of the announcement, the company stated that Kubernetes support was also planned, with the expectation that Kubernetes would become the dominant container orchestration standard.
Container orchestration support signals SnapLogic’s intention to run integration workloads alongside containerized microservices, which is a natural fit as enterprise architectures increasingly rely on distributed, container-based deployments.
Iris AI Enhancements: Building Pipelines from Both Ends
SnapLogic updated its Iris AI-powered Integration Assistant with new ways to construct pipelines. Previously, Iris only offered recommendations starting from the first Snap connector in a pipeline. The update introduced two new construction modes:
- Last-Snap-first mode: A user places the final Snap connector on the canvas, and the Integration Assistant recommends preceding Snaps in reverse order until the full pipeline is complete.
- Outside-in mode: A user defines both the first and last Snaps, and the Integration Assistant fills in the intermediate steps, working inward from both ends simultaneously.
These modes are designed to accommodate different developer mental models — some teams design integrations by starting with the desired output, making the reverse-construction approach more intuitive.
The Business Context: Citizen Integrators and Data Utilization
SnapLogic cited survey results from a Vanson Bourne study of 500 IT decision-makers, conducted on behalf of SnapLogic, to frame the business urgency behind these updates. According to that survey:
- Organizations expected an average 547% return on data investments.
- Revenue increases of an average $5.2 million were anticipated from more effective data use.
- Despite this, organizations were using only about 51% of the data they collected or generated.
- Data influenced fewer than 48% of business decisions.
- Organizations planned to spend an average of $1.7 million over five years to operationalize data — more than double current spending.
SnapLogic’s response to this gap is to enable what it calls citizen integrators — non-IT staff within lines of business who can work with prebuilt integration patterns created by central IT teams. The GitHub-based Patterns Catalog is a direct enabler of this model: IT developers publish vetted integration patterns once, and business-side users discover and deploy them independently.
Why This Matters for DevOps Teams
The core theme across these updates is the convergence of enterprise integration with DevOps discipline. By storing integration pipelines in GitHub, applying AI-assisted construction, and supporting container orchestration platforms, SnapLogic is positioning its platform as a component in modern DevOps pipelines rather than a standalone IT tool.
For DevOps engineers, the practical takeaway is that integration artifacts can now participate in the same version control, code review, and CI/CD workflows as application code — reducing the gap between application development velocity and integration delivery.
As organizations scale DevOps practices beyond software engineering teams into broader enterprise functions, tools that bridge the integration and automation gap without requiring specialist knowledge become increasingly valuable.