Cloud Computing Weekly Podcast

Our guest on the podcast this week is JP Morgenthal, CTO Application Services at DXC Technology.

We discuss the links and channels between microservices and DevOps. What happens to architecture in a Scrum world? Many think you need to just start with Scrum and fix problems as they come. This is a primarily dev perspective, and formal architects will need to have a say early in the process to set projects up for success. It is recommended to add architecture design as a part of a sprint. We also look at SOA versus microservices and how we are now able to manage the volume of SOA.

Direct download: JP.mp3
Category:Technology News -- posted at: 12:29am EST

We discuss the historical cycles of computing and storage technologies over the last 40 years, and how Blockchain could be the start of the next industry-changing cycle.

Blockchain may be one of the most hyped technologies today, but it’s practical use cases make it more then the next shiny object. We discuss what the technology actually is, real use cases and what current adoption rates of the technology say about the future of Blockchain for industries like Financial Services.

Direct download: Ed_Featherston2.mp3
Category:Technology News -- posted at: 3:05pm EST

Our guest on the podcast this week is James Staten, Global Head of Market Development at Equinix.

We discuss digital edge computing and why it is important for enterprises to embrace. It even saves them money in the long run. Every new product today needs sensors to gather information and send it back to the manufacturer for feedback and safety information. This applies to everything from autonomous cars and fitness gear, to elevators and the military. The tricky part of all these sensors is that you do not want to have the data traveling back to your headquarters so that machine-learning can happen on-site in your own data warehouse. That will take too long. The insights need to be happening at the device. That means enterprises need a digital edge strategy.

Will this reach a saturation point with all this information coming in through sensors? Will IoT clients end up with too much information? One problem is that people are gathering every datapoint, but not necessarily understanding what the information means. It is important for organizations to decide what data to keep and why. A great place to find cloud-neutral, carrier-neutral best practices for moving to a digital edge model is at the Interconnection Oriented Architecture Knowledge Base

Direct download: James_Staten4.mp3
Category:Technology News -- posted at: 9:50pm EST

Our guest on the podcast this week is Derrick Harris, Founder at ARCHITECHT.

We discuss AI in the modern enterprise and why robots stealing jobs may not quite be a problem yet. We look at what enterprises should be thinking about to grow their AI practices in the future. The truth is, AI engines rely on an enterprise already having a strong data practice under control. It relies on big data capabilities, a culture that can accept it, and data infrastructures to be in place. Most companies are not there yet. This is a case where the market hype gets ahead of itself and AI is still a few years down the road for most enterprises.

We also discuss the open-source versus cloud debate with regard to Kubernetes, containers, and more.  It’s hard to say what the industry will look like in the next ten years, but clearly a whole new ecosystem of technology is emerging.

Direct download: derrick_harris3.mp3
Category:Technology News -- posted at: 12:27am EST

Our guest on the podcast this week is Bernard Golden, CEO at Navica.

We discuss the similarities and differences between VMs, containers, and serverless computing.  A lot of organizations have optimized around VMs because they have a long history of virtualization and it’s what they understand. They’ve built a lot of processes around that. Then containers came around, and that was the hottest thing in cloud. Now serverless is here. VMs and serverless are still not highly standardized. Containers are more standardized and the orchestration is also moving towards standardization. Containers and serverless are development paradigms that the industry is starting to embrace. VM is not like a container. You can run containers within VMs but can’t run VM inside a container.

We also look at the skills gap in cloud computing today. There is a talent shortfall even in places like Amazon, Microsoft, and Google who are looking for tactical skills in devops, cloud ops, security, and more. Head hunters are befuddled because they cannot find people with the expertise and specific skills they are looking for in cloud computing and the technologies are changing so fast that the problem gets worse every day. 81% of IT leaders report to be concerned about missing out on cloud advances, and talent is a major part of staying ahead. This is a unique time in IT where the pace of change is visibly accelerated. Innovations are compressed into much shorter timeframes. The next few years will be challenging because of the skills shortage.

Direct download: Bernard_Golden_3.mp3
Category:Technology News -- posted at: 1:01am EST

Our guest on the podcast this week is Andy Thurai, Chief Strategist, IBM Watson Cloud Platform - CTO Office, IBM Cloud at IBM.

We discuss dark data and how IBM Watson can understand it for decision-making. Normally when people refer to data they think of structured data in rows of numbers. But in last few years, the data has changed into images, videos, medical scans, sensor scans, audio, telematics. This dark data is unstructured, which makes it difficult to analyze with existing systems. That makes it hard to use it to make decisions. Currently 80% of the world’s data collection is dark data and that’s expected to grow to 90% by 2020. So if you’re running a data insights-based company, you need to analyze this unstructured data. IBM Watson can read the unstructured data, and it can make meaning out of it. Imagine a home security camera that recognizes the UPS uniform and lets you know when your package arrives. This is an example of machines assisting humankind, not competing with it.

Facebook, Uber, and Google are fast-moving companies that are becoming the new definition of “Enterprises”. Traditional enterprises are trying to keep up with their speed. Looking at the innovative businesses, one common thread is that they all have a huge investment in cloud and in AI. It’s not just about machine learning and deep learning. Ultimately if you can have machines understand the user in their native tongue, when they need it most, and understand the urgency, the needs, the emotions at that time it will help you make critical decisions based on human context. That is a powerful differentiation for your business in the marketplace for any enterprise.

Direct download: Andy_Thurai.mp3
Category:Technology News -- posted at: 11:09am EST

Our guest on the podcast this week is Jeff Thorn, CEO at Thorn Technologies.

We discuss modern-day data analytics for enterprises. We look at new and old AWS products like AWS Glue, AWS Kinesis, and Redshift. AWS Kinesis is something Thorn Technologies leveraged to create a product that allowed them to capture location data to track user behavior data at large trade shows. They could find out where users were spending time in the physical space. At first, it was hard to process the large amount of data coming in with user information and it sometimes took 24 hours to provide insights. When they migrated it to the cloud and used AWS Kinesis streaming data and Redshift data warehouse on the back-end they were able to get near real-time insight into behavior data. Kinesis is Amazon’s real-time streaming data processing service. It is good for when you have a lot of data coming in all at once and want real-time insights.

Where is big data now and where is it heading?

The top data products in the cloud change the way you can solve problems. Today, the top game changers are Hadoop and spin-offs based on the Hadoop infrastructure. Hadoop gives users more power because you do not have to pre-structure your data. It opens the door to new kinds of analytics. In the past, you needed a data warehouse that was designed specifically for the data it held and with new information you had to spend months re-designing it to fit into the existing system. With Hadoop and other distributed analytics platforms you can manipulate your data on the fly and write analytics specific to your data.

In the next five years, big data and analytics will continue to evolve. Right now doing your own analytics and making your own decisions is popular. However, IoT and AI are quickly becoming a reality. In five years it will not be you making decisions, it will be machines making decisions. We will see what machines tell us about our businesses.

Direct download: Jeff_Thorn.mp3
Category:Technology News -- posted at: 10:20am EST

The Doppler podcast went live this week. CTP cloud evangelists, David Linthicum and Mike Kavis discuss what happens when machine learning meets identity and encryption.

We discuss cloud security best practices for 2020, what happens when IAM meet artificial intelligence, and the security patterns and products you need to know now. Our hosts also take Q&A from the audience to answer how compliance fits into security and what the links are between DevOps and your security team.

Direct download: David_Linthicum_Mike_Kavis_Live_Podcast.mp3
Category:Technology News -- posted at: 3:54pm EST

Our guest on the podcast this week is David Egts, Chief Technologist, North America Public Sector at Red Hat.

We discuss how to translate customer pain points into product requirements when the customer is the government. David’s role at Red Hat is to make it easy for the government to use open source technologies. With open source, if you are not actively participating in the community it is hard to have your requirements heard. That is a challenge for governments and the public sector. They often have exotic requirements and require highly regulated environments. But they can benefit from open source technologies, so it is important to bridge the gap. Interestingly, governments have a reputation of being laggards when compared to other industries. But in cybersecurity, the government leads the way. They outpace the commercial cybersecurity industry with their security policies.

We also look at modern cloud careers and how to transition into the industry. It used to be important in IT to have general skills, but today knowledge of specific tools and specific tools are much more important. To survive in the technology industry you have to care about where the puck is going. The price of software used to define what developers would be able to learn. Now, with open source technology, there is no excuse not to learn because of the access. To be attractive to a future employer, it’s not just about consuming open source technologies, it’s also about living the open-source lifestyle and contributing to its communities. In the end, do not wait for your employer to train you in something you want to be doing. Spend years working on it for free so that you can learn and craft the career you want.

Direct download: David_Egts.mp3
Category:Technology News -- posted at: 8:39pm EST

Our guest on the podcast this week is Jeff Kaplan, Managing Director at THINKstrategies.

We discuss multi-cloud strategies and how this affects company go-to-market and business strategies. That is what THINKstrategies specializes in: the integration of cloud computing with business. We are living in an on-demand world and customers want multiple alternatives at their disposal. Lucky for them, they now have many choices. There is SaaS competition, but even more prominent is the infrastructure competition. Now that companies like Google and Microsoft and even IBM are entering the mix, more competition allows enterprises to have the privilege to select their ideal partner that fits their needs. However, with all this choice comes a need for the enterprises to know what they’re doing and have the skills to orchestrate everything. Companies with more limited skills need to be careful. The customized world can complicate things when enterprises do not have the expertise to build on.

We also look at IoT and how that can be a game-changer in all kinds of industries. At this point, anything can become internet-connected. This also comes with new opportunities to monetize information and engage customers in new ways. That is what the focus of a cloud strategy should always point back to: what does it mean for the customer.

Direct download: Jeff_Kaplan.mp3
Category:Technology News -- posted at: 8:18am EST