Machine Learning Operations (MLOps) is an emerging field that combines machine learning (ML) with DevOps practices to automate and streamline the deployment, monitoring, and management of ML models in production. Key Components of MLOps Version Control for Data and Models:
Tag: DevOpsSpecialist
Cracking Reliability – SRE Insights & Strategies by Robert Risch
SRE has since become a cornerstone of modern IT operations, embraced by organizations of all sizes seeking to ensure the reliability, scalability, and performance of their digital services. Site Reliability Engineering is a mindset, a set of practices, and a cultural approach to managing complex systems. SRE is guided by several key principles: Service Level… Continue reading Cracking Reliability – SRE Insights & Strategies by Robert Risch
Robert Risch – Mastering Configuration Management with Puppet Strings
Infrastructure as Code, Puppet emerges as a formidable puppeteer, orchestrating the dance of configurations across diverse servers and environments. This blog takes you on a journey through the realms of Puppet, exploring its model-driven approach, robust capabilities, and the transformative impact it has on automating and managing infrastructure configurations. Unveiling the Puppet Master Model-Driven Configuration… Continue reading Robert Risch – Mastering Configuration Management with Puppet Strings
Rolling Forward – Strategies for Success in Continuous Deployment
The Rolling Deployment strategy stands out as a beacon of efficiency, allowing software updates to roll forward seamlessly. Guiding you through effective strategies for mastering Rolling Deployments and ensuring continuous success in your deployment pipeline. Unveiling the Dynamics of Rolling Deployments Rolling Deployments involve updating a software system incrementally, one subset at a time, without… Continue reading Rolling Forward – Strategies for Success in Continuous Deployment
Robert Risch DevOps – Choosing the Right Stack for Your Pipeline
Embracing a DevOps mindset is a journey that involves selecting the right set of tools to orchestrate and automate your software delivery pipeline. Jenkins vs. GitLab CI/CD Jenkins and GitLab CI/CD are stalwarts in the continuous integration and deployment realm. Discover the nuances of their automation capabilities, extensibility, and community support. Infrastructure as Code Face-Off… Continue reading Robert Risch DevOps – Choosing the Right Stack for Your Pipeline
DevOps and SDLC – A Powerful Synergy for Modern Development
SDLC model depends on factors like project size, complexity, requirements, timeline, and organizational culture. Some projects may benefit from a traditional, plan-driven approach, while others may thrive in a more agile and SDLC. Waterfall Model In the Waterfall model, development progresses through a linear and sequential process, with each phase dependent on the deliverables of… Continue reading DevOps and SDLC – A Powerful Synergy for Modern Development
Robert Risch Guide to Building High-Quality Software
Scope Automation Testing – Automation testing primarily focuses on automating test cases and executing them to verify specific functionalities of a software application. Continuous Testing – Continuous testing is a broader concept that encompasses the idea of integrating testing throughout the software development lifecycle. Timing Automation Testing – Automated tests are typically run on-demand or… Continue reading Robert Risch Guide to Building High-Quality Software
How is DevOps different than the Agile Methodology?
DevOps and Agile are two distinct but complementary approaches to software development and project management, each with its own focus and principles. Here are the key differences between DevOps and the Agile methodology: Focus and Scope Agile:- Agile is primarily a software development methodology that focuses on iterative and incremental development. It aims to deliver… Continue reading How is DevOps different than the Agile Methodology?
Robert Risch on Continuous Improvement in DevOps
DevOps Robert Risch emphasizes the importance of adopting a mindset of perpetual enhancement throughout the software development life cycle. Whether it’s the development process, deployment pipelines, or infrastructure management, there’s always room for improvement. Key Takeaways from Robert Risch Feedback Loops: Robert stresses the significance of creating feedback loops at every stage of development and… Continue reading Robert Risch on Continuous Improvement in DevOps
DevSecOps – Integrating Security into DevOps Practices
In the digital era, where security threats are increasingly sophisticated and pervasive, organizations face the challenge of protecting their software and systems while maintaining agility and speed in software development and delivery. DevSecOps, an evolution of the DevOps approach, integrates security practices into every phase of the software development lifecycle. This article explores the importance… Continue reading DevSecOps – Integrating Security into DevOps Practices