Gani Mendoza

@ibm2100

Complexity != Complicated. SvelteJS (front-end), NodeJS/Golang (backend), Python (data science)

Vrijeme pridruživanja: kolovoz 2011.

Medijski sadržaj

  1. 2. velj

    "Tailscale networks are private. The only way to access an IP is through a WireGuard tunnel. The only way to be in the configuration file is to have linked your public key against your identity. Every packet has an identity attached"

  2. 2. velj
  3. 2. velj

    If simplicity is removing the complicated out of the complexity, then simplicity is the name of the game for these companies: - Darklang - - Tailscale - -based private networks - Rockset - no ETL real-time analytics

  4. 2. velj

    What color is your function? has eliminated the distinction between synchronous and asynchronous code. No promises No futures No async/await

  5. 2. velj

    The Go runtime is relatively complex internally but it permits simple APIs and programming models for users who then don't need to worry about memory management, thread management, blocking, the color of their functions,etc

  6. 28. sij

    The goal of svelvet is to make play nicely with snowpack and web_modules. No bundler required No config required Integrate directly with snowpack for an optimal experience Instant dev watch & rebuild cycle

  7. 28. sij

    Want a payment solution a la Stripe but hosted on your own infrastructure? There is PaySuper for that!

  8. 28. sij

    Ptah is a based landing page builder framework that combines various ready-to-use templates to create modern and fast landing pages for games or e-commerce.

  9. 28. sij

    We’re confusing “Static Configuration” with “Declarative Programming” Kubernetes is a Statically Configured system. What were DOS .ini files in the 80s, /etc/*.conf files in the 90s, are the YAML for

  10. 26. sij
  11. 25. sij
  12. 25. sij

    "There are also downsides to having a performance critical part of codebase in C++ while the rest of the system is in . Crossing the CGo barrier is delicate – and involves a 70ns overhead per call"

  13. 24. sij

    "Instead of spending 80% of their time preparing and organizing data, developers and data scientists can start working with their complex data sets within a few hours"

  14. 24. sij

    "What if we just index all this data and make it easy for people to do fast SQL on raw data directly so we eliminate a lot of steps in data preparation, pipelines, schema modeling...and all these things in a serverless fashion in the cloud?"

  15. 24. sij

    With During campaigns, Fynd’s users could generate 30 million events per day, and streamed into Kafka. Fynd would prepare the data and load it into one of analytics platforms in the cloud...that required at least 30 mins which is too long

    Prikaži ovu nit
  16. 24. sij

    With ksqlDB: "ksqlDB is useful for asynchronously materializing views using SQL and querying them in an interactive fashion. It doesn’t replace or as storage system, or , Druid, or Snowflake. Its sweet spot is for event streaming applications"

    Prikaži ovu nit
  17. 24. sij

    Before: Extract: data from source databases or other systems Store streams: Kafka topics Transform: , Streams, Spark, or Flink Load: data to yet another database Store and query

    Prikaži ovu nit
  18. 24. sij

    "Institutions will try to preserve the problem to which they are the solution." - Clay Shirky

  19. 21. sij

    "Thanks to the Stack Graph, Garden knows that it can build services in parallel but that it must then queue the deployment of service B until service A is ready and responding to health checks"

    Prikaži ovu nit
  20. 21. sij

    "Garden centers around the Stack Graph, which allows you to describe your whole stack in a consistent, structured way, without creating massive scripts or monolithic configuration files"

    Prikaži ovu nit

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·