#deployment-strategies

#deployment-strategies

Smarter DevOps teams balance deployment speed with preparedness to mitigate potential risks associated with frequent releases.

Robust deployment strategies are essential for maintaining security and reliability in complex software ecosystems.

Embracing automation in application deployment can significantly reduce human error risks, leading to more reliable production environments.

New Relic's change tracking and deployment strategies help developers manage and mitigate risks effectively.

Feature flags offer a flexible way to manage and deploy features without altering code directly.

Feature toggles can be categorized into release toggles, experiment toggles (A/B testing), and ops toggles for different purposes.

Generative AI (GenAI) is a key component of the AI and ML industry, with practical applications showcased in prompting, LLM deployment, and open-source model adoption.

Initial proofs of concept benefit from hosted solutions, but self-hosting is necessary for scaling models to cut costs, enhance performance, and meet security needs.

Using quantization and optimizing inference can help maximize GPU resources and efficiency in deploying Large Language Models.