Posts

Being green for IT first and foremost means effective use of resources. It’s quite topical to be “Green” today and while it’s difficult to differential “Green-washing” from the action, personally I believe we can all contribute to “being green” by effective use of available resources.

Microsoft releases GitHub co-pilot: AI ethical challenge It’s brilliant: Microsoft releases GitHub co-pilot which is trained on open source code on Github. Hurray! Developer productivity may increase occasionally. Hold on second, have you checked licenses on those repositories you used for training?

Update: very simple example of working data fusion in every phone: panorama photos. Stitching images is a hard image-processing problem, adding gyro measurements made it way simpler. Newsletter from Comet-ML arrived in my mailbox and it nearly forced me to spill coffee, the passage which caught my eyes:

One of the things I noticed in my hobby project working with Redis I started overthinking and over optimising: Consider old code here — it makes two calls to RedisGraph, one to fetch edges and then another one to turn node ids to list of dictionary {id:node_id,name:node_name}, both queries are trivial:

Prior to starting in my previous employment — Shopitize Ltd, I was a researcher for about 8 years and I didn’t manage anyone, but myself. Now I find myself in charge of 35 people spread into 4 different countries.

Context Let’s have a small organisation running a “proper” strategic loop: OODA + PDCA OODA Observe Orient Decide Act — this loop is on the strategic level “surface” of the organisation, observing external trends: technology, market, global political trends, then orient organisation via artefacts like strategy.

I came across Seaweed FS, which I think is perfectly architectured: Acknowledgement of existence of other technologies, so master metadata can be stored in Redis(Cluster), Cassandra, Etcd Any use case I could think of covered — FUSE mount, HDFS, S3 API gateway, WebDAV, Async Backup into the cloud Tiered Storage.

Reading non-fiction book: you are not reading the book, but you are extracting knowledge from the book: electronic or printed medium Watching learning video: extracting knowledge from the video medium Reading blog/article: extracting knowledge from blog or article Why this framing is important?

If you are a developer or engineer you normally have a multiple enviroments: vs code to work on a code, Typora to edit markdown file and then Obsidian/Roam Research to take your notes and Notion (Coda) or Confluence to share it with your team.

If you procrastinate on the open-sourcing project for several months, you forget what you wanted to do before. I thought I wanted to split into streams-based code and open source it, then after completing most of the work I realised I wanted to build an open-source project based on KeysReader part of cord19project— it’s way easier to debug and fits better into DataScience flow: create a batch script, run, validate, register for new data by changing GearsBuilder.