Webinar: Faster, more efficient API deployment using a DevOps governance model

Share this post:

Enterprise developers and operations professionals can achieve faster, more efficient API deployment using a DevOps governance model.  A DevOps platform for APIs provides improved governance and efficiency, to save time and money while ensuring quality in API deployments.  Whether your APIs are organically developed, or they are exposed endpoints to existing back-end services, a DevOps platform gives you the ability to streamline and to automate the process of developing, building, testing, and deploying APIs onto the API runtime cloud platform.

In this webinar, IBM distinguished engineers Paul Bahrs and Tien Nguyen will discuss how to achieve faster, more efficient API governance model for automated deployment using DevOps. After completing this webinar, you will be able to:

  • Accelerate innovation with multi-speed IT by decoupling back end separating back-end system services from the deployment of those services as APIs across different channels.
  • Streamline processes for governance and version control with well-defined isolation and ownership for DevOps and API management.
  • Optimize hybrid DevOps platforms to support continuous integration and continuous delivery with automation.

Related resources

More DevOps stories
October 30, 2018

DevOps Insights: New Item Charging Metric

Starting in December of 2018, IBM Cloud DevOps Insights will change the way it charges for usage. Instead of charging by Application, Insights will use the term Item. By charging for items within Insights, we will be able to scale our value across future feature sets.

Continue reading

October 26, 2018

Modernize and Simplify Your IT and Network Operations

IBM Netcool Operations Insight on IBM Cloud Private is a containerized version of Netcool that covers operations management and agile service management. You can now run your management software on the same modern platform as other workloads, making it cost-effective and scalable for future migrations.

Continue reading

October 25, 2018

Cluster-Level Logging with IBM Log Analysis, LogDNA, and IBM Cloud Kubernetes Service

We are excited to announce IBM Log Analysis with LogDNA. You can use IBM Log Analysis with LogDNA to add enhanced logging capabilities to IBM Cloud, easily collect and aggregate logs in a centralized system, and monitor and analyze logs by customizing dashboards and defining alerts.

Continue reading