Download Kibana For Mac

• Download Kibana For Windows
• Kibana Download Data

The installation matrix for the ELK Stack (Elasticsearch, Logstash and Kibana) is extremely varied, with Linux, Windows and Docker all being supported. For development purposes, installing the stack on Mac OS X is a more frequent scenario.

Without further adieu, let’s get down to business.

Installing Homebrew

To install the stack on Mac you can download a .zip or tar.gz package. This tutorial, however, uses Homebrew to handle the installation.

Make sure you have it installed. If not, you can use the following command in your terminal:

If you already have Homebrew installed, please make sure it’s updated:

The first thing you have to do in order to install Kibana for Mac OS X, is to download Kibana. Kibana can be downloaded here in your browser or by running the below command in your terminal. You should download either the.zip or the.tar.gz file. Curl -L -O https: / /download.elastic.co/kibana/kibana/kibana - 4.3. 0 -darwin-x64.tar.gz. In the Downloads section, click MacOS, which downloads the Elasticsearch TAR file (for example, elasticsearch-7.1.1-darwin-x8664.tar) into your Downloads folder.; Double-click this file to unpack it into its own folder (for example, elasticsearch-7.1.1), which contains all of the files that were in the TAR.

Installing Java

The ELK Stack requires Java 8 to be installed.

To verify what version of Java you have, use:

To install Java 8 go here.

Installing Elasticsearch

Now that we’ve made sure our system and environment have the required pieces in place, we can begin with installing the stack’s components, starting with Elasticsearch:

Start Elasticsearch with Homebrew:

Use your favorite browser to check that it is running correctly on localhost and the default port: http://localhost:9200

The output should look something like this:

Installing Logstash

Your next step is to install Logstash:

You can run Logstash using the following command:

Since we haven’t configured a Logstash pipeline yet, starting Logstash will not result in anything meaningful. We will return to configuring Logstash in another step below.

Installing Kibana

Finally, let’s install the last component of ELK – Kibana.

Start Kibana and check that all of ELK services are running.

Kibana will need some configuration changes to work.

Open the Kibana configuration file: kibana.yml

Uncomment the directives for defining the Kibana port and Elasticsearch instance:

If everything went well, open Kibana at http://localhost:5601/status. You should see something like this:

Congratulations, you’ve successfully installed ELK on your Mac!

Since this is a vanilla installation, you have no Elasticsearch indices to analyze in Kibana. We will take care of that in the next step.

Shipping some data

You are ready to start sending data into Elasticsearch and enjoy all the goodness that the stack offers. To help you get started, here is an example of a Logstash pipeline sending syslog logs into the stack.

First, you will need to create a new Logstash configuration file:

Enter the following configuration:

Then, restart the Logstash service:

In the Managementtab in Kibana, you should see a newly created “syslog-demo” index created by the new Logstash pipeline.

Enter it as an index pattern, and in the next step select the @timestamp field as your Time Filter field name.

And…you’re all set! Open the Discover page and you’ll see syslog data in Kibana.

Need help managing your ELK Stack? Logz.io can do the heavy lifting for you.

At the end of this section, you will have all you need to check and visualize OCDS format Contracting data.

In order to have a better understanding of this section, it is recommended to be familiar with the command terminal:

Goals¶

1. Starting an ElasticSearch server with Kibana.
2. Uploading the Contracting published data in a format that is easy to check.
3. Checking data.

This example project has been developed to effortlessly start any of the 3 services.

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Prerequisites¶

1. Open the Operative System’s command terminal
2. Unzip the downloaded file and access the folder that has just been created

• Command line command: cdManualKibanaOCDS-master

Start Server Container with ElasticSearch and Kibana¶

Now we can start the server by executing the following command in the terminal:

This command indicates Docker program to create the container shown in the fileelastic-kibana.yaml. Here, we specify both programs should start.

After some minutes, depending on available resources, we should be able to open this linkhttp://localhost:5601/app/kibana and Kibana should appear as available.

From now on, ElasticSearch and Kibana will be ready to use, even though we still do not have available data.

Upload OCDS data to ElasticSearch¶

For this process, we should start the terminal at the folder elk-gobmx-csv-master/pipeline:

Downloading data packages¶

If we want to work with all the Contracts published in OCDS standard without taking into account the last data published,we should first be sure we have downloaded Contracts in OCDS format by json package, published on the websitedatos.gob.mx

By September 2 2018 , this file’s name is contratacionesabiertas_bulk_paquetes.json.zip and its size is about 310.5 MB.

It is important to mention that this information is recognized with OCDS standard through the following formatrecordPackages or Record Package; all tools and codes included in this manual use this format. In order to use another one, such as releases or releasePackages, or another structure non-defined by OCDS standard, it would be required to modify the code.

As these files can have a big size, it is recommended to have at least 2GB availableto continue.

Now, we need to unzip contratacionesabiertas_bulk_paquetes.json.zip file, which will create multiple.json files inside a folder:

IMPORTANT: We must know the full file path of .json files to this folder, as it will be necessary for the upload stage.

Microsoft for mac download. Let’s suppose that the files were downloaded and unzipped inside the same operative system Download file. Its path should be¹

• Linux/Ubuntu/Mac: /home/{username}/DownloadWe can shorten it as $HOME/Download
• Windows: C:Users{username}DownloadWe can shorten it as %HOMEPATH%Download

When it is confirmed or we could get the path to the files folder, we can continue.

Processing and uploading data¶

IMPORTANT¶

The current process specifically uploads the compiledRelease part of each OCDS document, in order to analize the last version available among OCDS releases. We recommend to read previous chapters before continuing

In this same folder, we have another tool designed for data upload. It also uses a Docker container. We will just use two commands: the first one is to get the container ready and the second one to execute it.

With this command, Docker will make the container ready with everything necessary to process and upload data.

Once finished, we can execute the upload process according to the available operating system.

Linux/Ubuntu o Mac

Windows

This command will use the container that is already executing the data processing and upload. For more information, please check the technical documentation of thisprocess.

The screen now must show the process information. This could take some minutes.

After finishing everything successfully, this caption should pop up: Uploadsuccessfullycomplete and Kibanaisreadytouse.

Now, we can visit [Kibana] web page(http://localhost:5601/app/kibana) and see all data uploaded.

Download Kibana For Windows

To know more about technical details on how to upload data, we will explain next how to use LogStash for this process.

Extra: Download OCDS data directly from datos.gob.mx API¶

Previously, we explained how to download the OCDS dataset through a single file. In this section, we will introduce an alternative to download only the contracts we are looking for or the most updated contracts that have not been published yet in the final file. For this, we will use the API of datos.gob.mx, provided by the Mexican government.

In order to see the full API documentation, please check Basic guide to use API,where you can see in detail the specific filter options.

In order to download and manipulate data, the following tools will be used: cURLand jq.

The curl command will enable us to download information automatically and jq command will help us togive a user-friendly format to JSON data.At a lager stage, this manual includes a brief introduction to jq.

Both programs can be installed locally. For example, for Linux Ubuntu, it can be done with an instruction such as:

For Windows or Mac, we should download the executable files separately, but we can also use thedocker container included in the current code. To this effect, we should only execute the following docker command:

Remember that $HOME/ is a shortcut only for Linux and Mac, in Windows we shall use %HOMEPATH%

When this command is executed, we will get a new command line, which must look like this:

In this command line, we can execute the following commands.

To download the last 100 contracting processes and keep them in a .json file:

Any files created inside the container will be deleted when the container is“shut down”, unless they are moved to or createdin a folder shared by the computer and the container.

To download the contracting processes that involve a certain business unit (unidad compradora)(currently limited to 1000, but can be changed):

In order to understand this last command, we will detail each section:

• Firstly, curl command is used.
• Secondly, this URL API based is included: https://api.datos.gob.mx/v2/contratacionesabiertas.
• Next, we have the filter parameters:
  • records.compiledRelease.parties.name: filters according to that field value, that is, the name of some sections in the contract.
  • pageSize: details how many results per request
  • page: allows browsing through pages, in case there is more than one.
• Afterwards, we will use the jq command to extract only the results.
• Lastly, we specify the name of the file in which the results will bestored. It is important that the filename reflects the search query,to avoid mix-ups.

Kibana Download Data

These files must be stored and treated just as in the previous section,placing them in the Downloads folder so we can continue with our next step.