The Evolving SDLC

Emily Friedman’s DevOpsDays Ukraine presentation about rethinking the software development lifecycle or SDLC sparks our conversation today. She describes looking at it as a multi-dimensional cross functional discipline, that actually accounts for six different vectors of capabilities that need to be factored in – a resilient and robust look at the SDLC. Watch her YouTube:

We found that the model does not cover all of the things that we’ve been discussing as important things to consider in building, deploying, and making software resilient and reliable, most specifically software, build materials, or s bombs.

Transcript: otter.ai/u/zp0uAu_xis_1fb66sS…?utm_source=copy_url
Image: www.pexels.com/photo/photo-of-or…inwheels-3580452/

Why Jenkins in DevOps?

What kind of orchestration systems does the industry use for infrastructure, automation and controlling day to day operations?

In today’s episode, we talk about infrastructure pipelines at the tooling level, and specifically the use of Jenkins and other CI pipelining tools for ops and orchestration. We dig into why and how you would do this, and what pieces are missing from the system. That conversation leads us into larger day to day challenges.

If you are doing infrastructure ops and DevOps automation, you will get a lot out of this session.

Transcript: otter.ai/u/dbTdHdYTIt5bU1G8SFghKSijhU0
Image: www.pexels.com/photo/barista-wit…d-tattoo-6205639/

Rob’s Hot Take:

In the May 19th Cloud 2030 Podcast episode, Rob Hirschfeld delves into the intersection of payment systems, PCI V4, NFTs, blockchain, virtual reality, and the metaverse. The discussion highlights the often overlooked XRP or ripple specification, enabling banks to transfer funds outside the SWIFT system, introducing alternative ways for banks to exchange fiat currency with significant impacts on credit, microtransactions, and blockchain conversions. The episode emphasizes the importance of understanding seemingly esoteric elements that can shape the future landscape and influence how it evolves. Explore the full conversation for insights into this intriguing combination of PCI, V4, Kryptos, and the Metaverse.

Scaling Continuous Delivery

We went beyond what the Continuous Delivery Foundation is doing to talk about how to scale Continuous Delivery. Especially around the continuous reconciler pattern.

So what does CD take beyond committing something in git? To make scalable continuous delivery systems and cross team continuous delivery systems means building things beyond GitOps that really scale and work for enterprise teams. The use cases are not just cloud native technologies, but really useful for established enterprise tech too.

Transcript: otter.ai/u/JkTWNWtaaUEOHrd-bdHIP3rsmO8
Photo: www.pexels.com/photo/man-wearing…rmal-bag-4393667/

Continuous Infrastructure Automation

Continuous Infrastructure Automation is a critical concept about driving much more resilient and repeatable systems.

As we build out applications on infrastructure, we should not treat them as a static deployment. Instead, we should think of infrastructure as constantly evolving, growing and changing.

There’s a lot of technology and challenges in building that! In discussion, we firmly believe that this is the right path, but the path to get there is challenging. There are a lot of components that have to be considered: everything from artificial intelligence or machine learning, to how to manage and control and standardize the automation that does all that work.

Transcript: otter.ai/u/KmdQpMPJDPL1BjzXjEIEeavQRco
Photo by Aleksejs Bergmanis from Pexels [ID 681335]

Tal Weiss of OverOps on Continuous Reliability in CI/CD Workflows

Joining us this week is Tal Weiss,  CTO & Co-Founder of OverOps.

About OverOps

OverOps was founded by engineers with a vision to change the way the world delivers reliable software. Tired of trying to resolve software errors using manual, noisy log files, the team searched for a better way. We built a powerful break-through solution that empowers developers, QA, DevOps and the business with actionable, code-level insights. Today, large enterprises have come to rely on OverOps to ensure a stable, reliable, software experience.