DevOps.com

Twain Taylor

Twain is a Fixate IO contributor and began his career at Google, where, among other things, he was involved in technical support for the AdWords team. His work involved reviewing stack traces, resolving issues affecting both customers and the support team, and handling escalations. Later, he built branded social media applications and automation scripts to help startups better manage their marketing operations. Today, as a technology journalist he helps IT magazines and startups change the way teams build and ship applications.
How Organizations Benefit from AWS App Patterns

How Organizations Benefit from AWS App Patterns

| application patterns, AWS, AWS Application Patterns, Eplexity, shift left, value stream management
As a startup, an organization thrives by breaking rules, challenging the status quo and standing for all that is against the norm. The same rules don’t apply once the same organization grows, ...
AWS Application Patterns

What Are AWS Application Patterns?

| AWS, AWS Application Patterns, cloud-native, cloud-native apps, data management, devsecops, shift right, shift-left approach
The cloud-native approach is not just about compute power and cloud services. A “set it and forget it” attitude won’t work with cloud native; there are far too many moving pieces and ...
Achieving Open and Integrated Development with IBM Z

Achieving Open and Integrated Development with IBM Z

| devops, ibm, IBM Z, integrated development, mainframe developers, mainframe software delivery, mainframes, open development, SCM, source code management, z/OS
“DevOps” and “mainframe” are not words you often hear in the same sentence. Yet, the reality is that even in our current age of DevOps, mainframes remain the mainstays of many companies' ...
Cloud-Native with IBM Z as a Hybrid Cloud Platform

Going Cloud-Native with IBM Z as a Hybrid Cloud Platform

| cloud platforms, cloud-native, hybrid cloud, IBM Z, mainframes
When people use the phrase “they don’t make ‘em like that anymore,” 100-year-old bridges, Jon Snow’s sword and American muscle cars often come to mind. If the topic of discussion happens to ...
3 Examples of AI at Work in DataOps

3 Examples of AI at Work in DataOps

| ai, AirBnB, artificial intelligence, data operations, DataOps, Netflix, Uber
Artificial intelligence (AI) is making all the difference between innovators and laggards in the global marketplace. Yet, implementing a state-of-the-art DataOps operation involves a long-term commitment to putting in place the right ...
Building Continuous Compliance into DevOps

Building Continuous Compliance into DevOps

| automated compliance, cloud-native, continuous compliance, continuous testing, GDPR, HIPAA, IAM, identity and access management, PPCI DSS
“Continuous” is one of the operative words of DevOps. A major goal of DevOps is to make all processes continuous, which means having them proceed smoothly and constantly to avoid delays or ...
Building a Security Feedback Process for DevOps

Building a Security Feedback Process for DevOps

| automating security, automation, Cloud Security, devsecops, security feedback, shift left
The last few years have seen some major slip-ups in the security space among all major cloud providers, resulting in uncertainty and speculation. That’s understanding; cloud security is an extremely complicated subject ...
The DevOps Security Stack

The DevOps Security Stack

| app security, application security, automation, cloud-native apps, CWP, devops security, devsecops, Symantec Cloud Workload Protection
The whole idea behind DevOps is automation. DevOps automates the development process by eliminating or minimizing human error. If an error occurs, the applications fail quickly so the errors can be resolved ...