Blogs

As you know Prometheus already having UI (localhost:9090). But it is not enough to give you better visualization on one screen. For better visualization and a graphical representation, we are going to use Grafana. What is Grafana? As grafana.com says ”Grafana is the open-source analytics and monitoring solution for every database.” This means Grafana is an independent tool for analytics and monitor which gives your various types of Graphs. It is not restricted to Prometheus DB only, You can use mostly any Databases like MySQL, Elasticsearch, etc. So you can visualize different data points from the different databases on one screen. This is the flexibility and power Grafana provides. ...

Prerequisite OS: Ubuntu 14.04 LTS Processor: 64 Bit RAM: 2 GB 1. Install python3.6 From source Step 1.1: Compile $ wget https://www.python.org/ftp/python/3.6.3/Python-3.6.3.tgz $ tar -xvf Python-3.6.3.tgz $ cd Python-3.6.3 $ sudo ./configure --enable-optimizations $ sudo make install Step 1.2: Check $ python3.6 --version 2. Install pip3.6 Step 2.1: Download pip $ wget https://bootstrap.pypa.io/get-pip.py Step 2.2: Execute $ sudo python3.6 get-pip.py Step 2.3: If you Got below error Error zlib not available Traceback (most recent call last): File "get-pip.py", line 22711, in <module> main() File "get-pip.py", line 198, in main bootstrap(tmpdir=tmpdir) File "get-pip.py", line 82, in bootstrap from pip._internal.cli.main import main as pip_entry_point zipimport.ZipImportError: can't decompress data; zlib not available Step 2.3.1: Install zlib: Install with some other dependency $ sudo apt-get install -y make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncurses5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev OR ...

Hi Guys, I am trying to listing all data source & endpoints for COVID19 - India as well as Global. It can contains offical or unofficial APIs. Anyone is working on any COVID19 project for India, Can use these sources. APIs 1. Github: amodm/api-covid19-in (India) Repo: https://github.com/amodm/api-covid19-in APIs available: Statewise Data StateWise StateWise History Medica Hospital Stats Bed Stats Contacts HelpLines Contacts Patient Tracing History Sources The source is both types of official & Unofficial. ...

The Problem: Suddenly got below errors which killed my daemon: fatal error: concurrent map writes goroutine 646 [running]: runtime.throw(0x75fd38, 0x15) /usr/local/go/src/runtime/panic.go:774 +0x72 fp=0xc000315e60 sp=0xc000315e30 pc=0x42ecf2 runtime.mapdelete_fast64(0x6f0800, 0xc00008ad50, 0x2b3e) goroutine 1 [sleep]: runtime.goparkunlock(...) /usr/local/go/src/runtime/proc.go:310 time.Sleep(0x12a05f200) /usr/local/go/src/runtime/time.go:105 +0x157 webhook/worker.Manager() goroutine 6 [IO wait]: internal/poll.runtime_pollWait(0x7fc308de6f08, 0x72, 0x0) /usr/local/go/src/runtime/netpoll.go:184 +0x55 internal/poll.(*pollDesc).wait(0xc000110018, 0x72, 0x0, 0x0, 0x75b00b) /usr/local/go/src/internal/poll/fd_poll_runtime.go:87 +0x45 internal/poll.(*pollDesc).waitRead(...) /usr/local/go/src/internal/poll/fd_poll_runtime.go:92 internal/poll.(*FD).Accept(0xc000110000, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0) /usr/local/go/src/internal/poll/fd_unix.go:384 +0x1f8 net.(*netFD).accept(0xc000110000, 0xc000050d50, 0xc000046700, 0x7fc308e426d0) /usr/local/go/src/net/fd_unix.go:238 +0x42 net.(*TCPListener).accept(0xc000126000, 0xc000050d80, 0x40dd08, 0x30) /usr/local/go/src/net/tcpsock_posix.go:139 +0x32 net.(*TCPListener).Accept(0xc000126000, 0x72f560, 0xc0000f0180, 0x6f4f20, 0x9c00c0) /usr/local/go/src/net/tcpsock.go:261 +0x47 net/http.(*Server).Serve(0xc0000f4000, 0x7ccbe0, 0xc000126000, 0x0, 0x0) /usr/local/go/src/net/http/server.go:2896 +0x286 net/http.(*Server).ListenAndServe(0xc0000f4000, 0xc0000f4000, 0x8) /usr/local/go/src/net/http/server.go:2825 +0xb7 net/http.ListenAndServe(...) /usr/local/go/src/net/http/server.go:3080 webhook/handler.HandleRequest() Expected behaviour In starting for a few seconds it was working smoothly. ...

Below are some challenges & exceptions faced while setting up Elasticsearch. I just shared my experience and learning. Please correct me, If you guys feel somewhere i got wrong OR You can contribute if you have any experiences . Will keep update this gist. Every use case having different solutions. You can try accordingly.