DevOps Paradox

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DOP 180: What is AIOps? Oct 12, 2022

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#180: At a time when big data and machine learning are transforming the enterprise, it is hard to see what is coming next. The answer: artificial intelligence. The transformation of AI into AIOps — machine learning in the cloud that continuously learns and optimizes predictive models — may be the next game-changer for businesses, but how can you get started?

In this episode, we speak with Richard Whitehead, CTO at Moogsoft, about where AIOps is in 2022, and why the humans shouldn't fear for their jobs…yet.

Richard's contact information:

Twitter: https://twitter.com/rwhitehead

LinkedIn: https://www.linkedin.com/in/richardwhitehead/

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DOP 179: What Are Service Level Objectives? Oct 05, 2022

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#179: For many decades, the use of service level objectives (SLOs) in IT has been a routine part of day-to-day business. The objectives are based on measurable impacts that each individual customer or operational unit should experience with a specific IT service. These SLOs are typically associated with costs and benefits that can be tracked over time.

But what do you need to do if you are new to SLOs? What are the pitfalls associated with introducing SLOs into an environment where they have not yet been a part of the culture? For those of you that have been working with IT for any length of time, there has probably been one idea in the IT space that has received more flak from different teams than anything else. Many people and teams still do not understand what SLOs are, how to use them and why some companies use them and others do not.

In this episode, we speak with Brian Singer, the Chief Product Officer at Nobl9, about the mechanics of implementing and maintaining SLOs in your organization.

Brian's contact information:

Twitter: https://twitter.com/brian_singer

LinkedIn: https://www.linkedin.com/in/briantsinger/

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DOP 178: Kubernetes Observability Using eBPF Sep 28, 2022

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#178: Observability has been around since the dawn of computing. Around 1992, BPF was introduced. It gave us the ability to do network packet filtering. Around 22 years later in 2014, eBPF was included in Linux kernel 3.18, building on top of what was available with BPF. Now in 2022, eBPF is helping to supercharge Kubernetes observability.

In this episode, we speak with Shachar Azulay, CEO and Co-Founder of groundcover, about how eBPF is changing how we monitor our Kubernetes clusters in five minutes or less.

Shachar's information:

LinkedIn: https://www.linkedin.com/in/shahar-azulay-54156bb4/

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DOP 177: How To Modernize Legacy Applications Sep 21, 2022

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#177: Imagine this. What if you could magically turn your 20 year old Java and .NET applications into modern, containerized applications without having to spend years doing it? Also, what if you could do this with the help of AI? Seems too good to be true?

In this episode, we speak with Bob Quillin, Chief Ecosystem Officer at vFunction, about the classical and painful ways we've tried to do application modernization in the past and how AI is helping to reduce a lot of those pain points in 2022.

Bob's contact information:

Twitter: https://twitter.com/bobquillin

LinkedIn: https://www.linkedin.com/in/bob-quillin-46802511/

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DOP 176: Critical Skills That Every Engineer Should Master Sep 14, 2022

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#176: Many people ask us what they need to do in order to start a career in DevOps. The usual initial question is "what technologies do I need to learn?" What if we told you that you shouldn't necessarily start with the tech but with something else?

In this episode, we speak with Sashank Purighalla, CEO and Founder of BOS Framework, about the critical skills that every engineer should master in order to start and grow their DevOps career.

Sashank's contact information:

Twitter: https://twitter.com/sashankbos

LinkedIn: https://www.linkedin.com/in/sashankpurighalla/

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DOP 175: Applying DevOps Principles to Low-Code and No-Code Applications Sep 07, 2022

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#175: When most people start with low-code and no-code applications, they log in to a user interface, fill in some forms and do a lot of pointing and clicking. As we've learned over the years, that is just an invitation for long-term trouble. What if were possible to treat our low-code and no-code application development the same way as we treat our normal application development?

In this episode, we speak with Gil Hoffer, Co-Founder and CTO of Salto, about a number of issues around the low-code and no-code application development ecosystem and why you might want to consider approaching these development processes in a more standard way.

Gil's contact information:

Twitter: https://twitter.com/gilhoffer

LinkedIn: https://www.linkedin.com/in/gilhoffer/

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DOP 174: Security Concerns in Low-Code and No-Code Applications Aug 31, 2022

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#174: As more and more companies start to use low-code and no-code solutions within their organizations, how many of them are actually evaluating their security posture? Do these organizations not realize they are literally giving away the keys to their kingdoms to third party providers?

In this episode, we speak with Alon Jackson, CEO and Co-Founder at Astrix Security, about how these internally produced low-code and no-code applications present even further security risks due to the lack of professional security processes for these applications.

Alon's contact information:

LinkedIn: https://www.linkedin.com/in/jackson-alon/

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DOP 173: Drag and Drop Deployments for Kubernetes With Harpoon Aug 24, 2022

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#173: How much time have you wasted writing YAML files, helm charts or Kustomize configurations? What if deployments to Kubernetes could be as simple as drag and drop?

In this episode, we speak with Dom Holt, the CEO of Harpoon, about how Harpoon can make this drag and drop dream become reality.

Dom's contact information:

LinkedIn: https://www.linkedin.com/in/dominicholt/

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DOP 172: Dynamically Manage Cloud Costs With Zesty Aug 17, 2022

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#172: As a developer, we might think we know how our application is going to run in production. We know we'll need a web server, an application server and a database. But what we might not know is how popular (or unpopular) our application is going to be and what the actual sizing is that we'll need in order to optimally run our application.

In this episode, we speak with Maxim Melamedov from Zesty about the different models that need to be taken into account when not only designing and writing our applications but also operating them at scale.

Maxim's contact information:

LinkedIn: https://www.linkedin.com/in/maximmelamedov/

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Catalog, Patterns, And Blueprints

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