Deploy your API from a Jenkins Pipeline

Deploy your API from a Jenkins Pipeline

In a previous article, 5 principles for deploying your API from a CI/CD pipeline, we discovered the main steps required to deploy your API from a CI/CD pipeline and this can prove to be a tremendous amount of work. Hopefully, the latest release of Red Hat Integration greatly improved this situation by adding new capabilities to the 3scale CLI. In 3scale toolbox: Deploy an API from the CLI, we discovered how the 3scale toolbox strives to automate the delivery of APIs. In this article, we will discuss how the 3scale toolbox can help you deploy your API from a Jenkins pipeline on Red Hat OpenShift/Kubernetes.

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Red Hat Universal Base Image: How it works in 3 minutes or less

Red Hat Universal Base Image: How it works in 3 minutes or less

When we announced Red Hat Enterprise Linux 8 in May, we also announced that all RHEL 8 base operating systems images, and many new RHEL 7 ones, would be available under the new Universal Base Image End User License Agreement (EULA). If UBI is new for you, this article summarizes UBI, explains why you’d want to use it, and supplies a set of resources to get you started with UBI.  And, if you have questions, we just published a brand new UBI FAQ.

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3scale toolbox: Deploy an API from the CLI

3scale toolbox: Deploy an API from the CLI

Deploying your API from a CI/CD pipeline can be a tremendous amount of work. The latest release of Red Hat Integration greatly improved this situation by adding new capabilities to the 3scale CLI. The 3scale CLI is named 3scale toolbox and strives to help API administrators to operate their services as well as automate the delivery of their API through Continuous Delivery pipelines.

Having a standard CLI is a great advantage for our customers since they can use it in the CI/CD solution of their choice (Jenkins, GitLab CI, Ansible, Tekton, etc.). It is also a means for Red Hat to capture customer needs as much as possible and offer the same feature set to all our customers.

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5 principles for deploying your API from a CI/CD pipeline

5 principles for deploying your API from a CI/CD pipeline

With companies generating more and more revenue through their APIs, these APIs also have become even more critical. Quality and reliability are key goals sought by companies looking for large scale use of their APIs, and those goals are usually supported through well-crafted DevOps processes. Figures from the tech giants make us dizzy: Amazon is deploying code to production every 11.7 seconds, Netflix deploys thousands of time per day, and Fidelity saved $2.3 million per year with their new release framework. So, if you have APIs, you might want to deploy your API from a CI/CD pipeline.

Deploying your API from a CI/CD pipeline is a key activity of the “Full API Lifecycle Management.” Sitting between the “Implement” and “Secure” phases, the “Deploy” activity encompasses every process needed to bring the API from source code to the production environment. To be more specific, it covers Continuous Integration and Continuous Delivery.

Deploy your API from a CI/CD pipeline - High Level view

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Red Hat Enterprise Linux 8.1 Beta brings new development tools

Red Hat Enterprise Linux 8.1 Beta brings new development tools

In May, we announced the general availability of Red Hat Enterprise Linux (RHEL) 8, the intelligent operating system which we believe is the best RHEL ever for developers. 

The work on Red Hat Enterprise Linux 8 continues, and we are pleased to announce the beta availability of RHEL 8.1., which enables greater developer productivity, improves manageability, and adds new security enhancements. This release also includes updated drivers that deliver new features and bug fixes for supported hardware platforms.

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Probing golang runtime using SystemTap

Probing golang runtime using SystemTap

I recently saw an article from Uber Engineering describing an issue they were having with an increase in latency. The Uber engineers suspected that their code was running out of stack space causing the golang runtime to issue a stack growth, which would introduce additional latency due to memory allocation and copying. The engineers ended up modifying the golang runtime with additional instrumentation to report these stack growths to confirm their suspicions. This situation is a perfect example of where SystemTap could have been used.

SystemTap is a tool that can be used to perform live analysis of a running program. It is able to interrupt normal control flow and execute code specified by a SystemTap script, which can allow users to temporarily modify a running program without having to change the source and recompile.

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