Google Site Reliability Engineering Reviews

Jupyter Reviews

Google Site Reliability Engineering mentions (84)

• Ask HN: What makes SRE great compared to "plain" DevOps?

  In my view it is having a dedicated team focusing their full mental bandwidth on pro-actively understanding and managing robustness of the system. In Pure DevOps, it seems to me developers often don't have the full picture of the system, and not enough bandwidth to foresee complex interactions from their changes. These are from my experiences spending one year as a developer in somewhat large a greenfield... - Source: Hacker News / 7 months ago

• How Site Reliability Engineering Is Different From DevOps

  Site Reliability Engineering, introduced by Google, extends the principles of software engineering to operations. Unlike DevOps, SRE places a stronger emphasis on reliability, availability, and scalability. SRE teams are tasked with maintaining the health and performance of systems by applying engineering practices to operations. The ultimate objective is to achieve a balance between service reliability and... Source: 9 months ago

• API Product Managers, what's your workflow when designing and maintaining an API?

  Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: 12 months ago

• Starting an SRE position soon. No prior experience (except IT). Any suggestions? Sorry if it's too general.

  Have you gone through the SRE Books? Source: about 1 year ago

• Starting up with sre

  Google SRE books is always a good read. Source: about 1 year ago

Jupyter mentions (206)

• Interactive Visualizations of Rate-Limiting Algorithms

  Interesting, I would have guessed you had used something jupyter-like: https://jupyter.org/ https://explorabl.es/all/. - Source: Hacker News / 15 days ago

• scrape-yahoo-finance

  JupyterLab: JupyterLab is an interactive development environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. It's particularly well-suited for data science and research-oriented projects. - Source: dev.to / about 1 month ago

• Let’s build AI-tools with the help of AI and Typescript!

  Jupyter Lab web-based interactive development environment. - Source: dev.to / about 2 months ago

• Scrape Redfin Property Data

  Choosing IDE: Selecting a suitable Integrated Development Environment (IDE) is crucial for efficient coding. Consider popular options such as PyCharm, Visual Studio Code, or Jupyter Notebook. Install your preferred IDE and ensure it's configured to work with Python. - Source: dev.to / about 1 month ago

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Jupyter Notebooks is very popular among data people specially Python users. So, I tried to find a way to run the Groovy kernel inside a Jupyter Notebook, and to my surprise, I found a way, BeakerX! - Source: dev.to / 3 months ago