mr-karan

What

This Python script is designed to compare bandwidth data rates from different sources and output a uniform unit format.

Example

❯ python3 network-rate-convert.py 400MB/s 
3200.00 Mb/s

mr-karan

version: "2"

services:
  kafka-0:
    container_name: kafka-0
    image: docker.io/bitnami/kafka:3.5
    ports:
      - "9092:9092"
    environment:
      - KAFKA_PROCESS_ROLES=broker,controller

mr-karan

job "http_servers" {
  datacenters = ["dc1"]

  group "group" {
    network {
      mode = "bridge"
      port "taskA" {
        static = 6000
      }
      port "taskB" {

mr-karan

This issue is described in hashicorp/nomad#5459 but this is a really simple to reproduce version of the same.

nomad_sighup is a really simple Go program, which listens for SIGHUP signal to be sent and prints "Received SIGHUP signal". It listens for this signal in an infinite for-loop.

The nomad deployment specs, deploys the same binary with raw_exec driver. There's a template block defined, which is a dummy configuration template. It watches for a Nomad service object doggo-web and updates whenever the Address/IP of this service updates. When that happens, Nomad is configured to send a SIGHUP signal to the underlying process.

mr-karan

Query id: 583d15b7-e488-4876-88bf-c8b0b4246f5c

┌─symbol────────┬──────return_percent─┬─────────new.close─┬──────────────close─┐
│ CGCL.NS       │  1.5731874145006763 │             742.5 │                731 │
│ CHOLAHLDNG.NS │  -5.385943910536817 │ 604.2999877929688 │  638.7000122070312 │
│ GUJGASLTD.NS  │   7.777898149642426 │ 513.4000244140625 │  476.3500061035156 │
│ NAM-INDIA.NS  │ -1.7775422037903055 │ 260.6499938964844 │ 265.36700439453125 │
│ NCC.NS        │   9.978915420737767 │             78.25 │   71.1500015258789 │
└───────────────┴─────────────────────┴───────────────────┴────────────────────┘
┌─symbol────────┬───────return_percent─┬──────────new.close─┬──────────────close─┐

mr-karan

VSCode

• Install this extension.
• Add the following lines to your settings.json:

    "files.associations": {
        "*.nomad": "hcl",
        "*.nomad.tpl": "hcl",
 "*.tf": "terraform",

mr-karan

job "hello-world" {
  datacenters = ["dc1"]
  namespace   = "default"
  type        = "service"

  group "redis" {
    # Specify number of replicas of redis needed.
    count = 1

    # Specify networking for the group, port allocs.

mr-karan

thread 'vector-worker' panicked at 'Tried to ack beyond read offset', /project/lib/vector-core/buffers/src/disk/leveldb_buffer/reader.rs:184:13
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
thread 'vector-worker' panicked at 'Tried to ack beyond read offset', /project/lib/vector-core/buffers/src/disk/leveldb_buffer/reader.rs:184:13
stack backtrace:
thread 'vector-worker' panicked at 'Tried to ack beyond read offset', /project/lib/vector-core/buffers/src/disk/leveldb_buffer/reader.rs:184:13
thread 'vector-worker' panicked at 'Tried to ack beyond read offset', /project/lib/vector-core/buffers/src/disk/leveldb_buffer/reader.rs:184:13
   0:     0x55df1f0de430 - std::backtrace_rs::backtrace::libunwind::trace::h34055254b57d8e79
                               at /rustc/a178d0322ce20e33eac124758e837cbd80a6f633/library/std/src/../../backtrace/src/backtrace/libunwind.rs:90:5
   1:     0x55df1f0de430 - std::backtrace_rs::backtrace::trace_unsynchronized::h8f1e3fbd9afff6ec
                 

mr-karan

FROM alpine:latest
COPY ./arg.sh /
ENTRYPOINT ["/arg.sh"]

mr-karan

EKS uses a custom authenticator tool called "aws-iam-authenticator". The basic idea is to make the auth flow in EKS easier by using the tools you already use in AWS.

To wrap your head around the flow, consider three separate entities:

• A kubernetes resource (entire namespace, specific pods/configs etc)
• An action (get, watch, list, create, delete etc)
• An IAM role/user created on AWS