Linki 2019-03-10

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1. 2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use
2. 5 Linux Terminal Commands That You Needed The Whole Time
3. 50 Shades of Go: Traps, Gotchas, and Common Mistakes for New Golang Devs
4. 7 Unix Commands Every Data Scientist Should Know
5. A generalised solution to distributed consensus
6. Achieving 100k connections per second with Elixir
7. baseds – Medium
8. Better Language Models and Their Implications

9. Kubernetes Borg/Omega history topic 2: Borg had Machine key/value attributes that could be used in scheduling constraints. Borgmon had target labels to convey application topology, environment, and locale. But Jobs themselves didn't originally have k/v labels.

   — Brian Grant (@bgrant0607) March 9, 2019

10. Build a CI/CD pipeline for API Management
11. codercom/code-server

12. So in @lyft's S-1 today they announced that they're paying $300 million a year to AWS between 2019 and 2021. (1/16)

    — Corey Quinn (@QuinnyPig) March 1, 2019

13. What the blue hell is this byzantine GCP pricing model?!
    $120K a year, use whatever you want, at the end of the year you either pay for overages and then walk away, or re-up your contract and the cycle repeats, UNLESS you master the wolf, in which casehttps://t.co/Fug5uVDUzM

    — Corey Quinn (@QuinnyPig) March 5, 2019

14. Diving into Technical SEO using Cloudflare Workers
15. Every IT Professional Should Work in a Mainframe Environment (…at some point)
16. Facebook’s Privacy Cake
17. facebook/folly

18. If you want to do #CloudNative development at any scale - start with #ContinuousIntegration . If you don't have CI in place the rest will fail. Even if you don't want to use containers, put CI in place. It remains, by far, the best tooling decision you will make for your SDLC.

    — Fintan Ryan (@fintanr) March 6, 2019

19. Friday Five: NHibernate Querying in Core 2.2 Framework, Azure NSG, and More!
20. Google Cloud Platform
21. Gotify
22. How does your cloud storage grow? With a scalable plan and a price drop
23. Introducing Kraken, an Open Source Peer-to-Peer Docker Registry
24. Introduction to Theoretical Computer Science
25. Is it a Duck or a Rabbit? For Google Cloud Vision, it depends how the image is rotated. [OC]
26. A quick look at QUIC
27. Keeping CALM: when distributed consistency is easy

28. Me: Why do you want multi-cloud?
    CTO: I want to put the workload on the cheapest compute platform.
    Me: Multi-cloud for workload mobility is really hard. What value is the savings going to bring the business?
    CTO: Reduced IT costs.
    Me: 🤨

    — Keith Townsend - #AWSreInforce (@CTOAdvisor) March 5, 2019

29. Killing Kubernetes
30. Microservices, Containers and Kubernetes in 10 minutes
31. On Disk IO, Part 1: Flavors of IO
32. On Ways To Agree, Part 1: DistSys Vocabulary
33. Open-sourcing homomorphic hashing to secure update propagation
34. P2P Docker registry capable of distributing TBs of data in seconds
    1. Porad kilka dla inżyniera danych – blog.sqlgeek.pl
35. Serverless collaboration
36. Setting up Jenkins X on Azure Kubernetes Service (AKS)
37. Stop Wasting Connections, Use HTTP Keep-Alive
38. Stuff The Internet Says On Scalability For March 8th, 2019
39. The 2 Most Important Software Dev Skills Aren’t Technical
40. Title:The Shutdown Problem: How Does a Blockchain System End?
41. Understanding Real-World Concurrency Bugs in Go
42. Using a Yubikey as smartcard for SSH public key authentication
43. Using Machine Learning to Ensure the Capacity Safety of Individual Microservices
44. VS Code on Your Server
45. Why Global Edge Fabric? Or Why we built a truly coordination-free distributed database for edge computing
46. Why Go?
47. Why You Should Use Kubernetes In Your Projects
48. You Don’t Need All That Complex/Expensive/Distracting Infrastructure

49. Look what I’ve got here! A Database Internals book. Just imagine that it’s a bass. Data bass. pic.twitter.com/tBjr704sFj

    — 413x P (@ifesdjeen) March 6, 2019