Rise of the Stack Developer

The tall tale of John Henry is just as endearing now as is was 170 years ago when the story started. Machine vs Man. (Think Skynet and Terminator). As we are at the beginning of another industrial revolution (Industry 4.0) many people are concerned that AI will take their jobs. Just like steam power took the jobs of thousands of railroad workers in the 1800s. In this episode, we explore the changes in workforces and effecting change in such an environment.

In this episode, the history of data center architecture and application development is reviewed, and the trends of application development shaping the data center of the future. Find out how containers, serverless, and data mesh architectures are being leveraged to decrease deployment times and increase reliability.

Intel's new Persistent Memory technology has three modes of operation. One as an extension of your current memory. Imagine extending your server with 9TBytes of Memory. The second is called AppDirect mode where you can use the Persistent Memory as a persistent segment of memory or as a high-speed SSD. The third mode is called mix mode. In this mode, a percentage of the persistent memory is used for AppDirect and the other to extend your standard DDR4 Memory. When exploring this new technology, I realized that I could take the persistent memory and use it as a high-speed SSD. If I did that could I increase the throughput of my ElasticSearch Server? So I set up a test suite to try this out.

Developing a Data Strategy can be difficult, especially if you don’t know where your current organization is and where it wants to go. The Information Management Maturity Model helps CDOs and CIOs find out where they currently are in their Information Management journey and their trajectory. This map helps guide organizations as they continuously improve and progress to the ultimate data organization that allows them to derive maximum business value from their data.

Organizations are looking to their vast data stores for nuggets of information that give them a leg up on their competition. “Big Data Analytics” and Artificial Intelligence are the technologies promising to find those gold nuggets. Mining data is accomplished through a “Distributed Data Lake Architecture” that enables cleansing, linking, and analytics of varied distributed data sources.

Big Data analytics needs data to be valuable. Collecting data from different machines, IoT devices, or sensors is the first step to being able to derive value from data. Ingesting data with Kafka is a common method used to collect this data. Find out how using Intel's Optane DC Persistent Memory to decrease ingestion congestion and increase total thruput of your ingestion solution.

One of the growing areas to help with Legacy Integration and automation of integration is the use of automation tools and frameworks. Over the last 3 years, a significant emphasis on the automation of workflows with legacy and new cloud-aware applications for information workers has emerged. These tools sets are called Robotic Process Automation (RPA) tools.

System Administration, Configuration Management, Build Engineer, and DevOps have many of the same responsibilities but over the years the names have changed. Listen as Darren Pulsipher gives a brief history of his journey through the software and product development over the last four decades and how so much has changed and much has remained the same.