docs: use https for external links

Replace http:// with https:// for external links whose https endpoint
was verified reachable (HTTP 200): treasuredata.com, github.com,
wikipedia, slideshare, mongodb, AWS docs, docker, kubernetes, msgpack,
and others.

Deliberately left as http: ltsv.org, because its https endpoint serves
a mismatched certificate (the default *.github.com GitHub Pages cert),
so switching would break the link. Untouched: localhost / example /
placeholder endpoints in configuration samples (these illustrate plain
HTTP services such as in_http and monitor_agent), and links that are
already dead regardless of scheme, which are tracked separately.

Rebased onto 1.0 after #653 (fluentd.org https) merged, to resolve the
overlap on lines that carried both a fluentd.org link and an external
link.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Signed-off-by: Shizuo Fujita <fujita@clear-code.com>

Author: Watson1978

README.md

@@ -4,5 +4,5 @@
 
 [Fluentd](https://www.fluentd.org/) is an open-source data collector for a unified logging layer. Fluentd allows you to unify data collection and consumption for better use and understanding of data.
 
-[Fluentd](https://www.fluentd.org/) is licensed under the terms of the [Apache License v2.0](http://www.apache.org/licenses/LICENSE-2.0). This project is made and sponsored by [Treasure Data](https://www.treasuredata.com).
+[Fluentd](https://www.fluentd.org/) is licensed under the terms of the [Apache License v2.0](https://www.apache.org/licenses/LICENSE-2.0). This project is made and sponsored by [Treasure Data](https://www.treasuredata.com).
 

container-deployment/docker-logging-driver.md

@@ -1,6 +1,6 @@
 # Docker Logging Driver
 
-The article describes how to implement a unified logging system for your [Docker](http://www.docker.com) containers. An application in a production environment needs to register certain events or problems during its runtime.
+The article describes how to implement a unified logging system for your [Docker](https://www.docker.com) containers. An application in a production environment needs to register certain events or problems during its runtime.
 
 The old-fashioned way is to write these messages into a log file, but that inherits certain problems. Specifically, when we try to perform some analysis over the registers, or on the other hand, if the application has multiple instances running, the scenario becomes even more complex.
 

container-deployment/install-by-docker.md

@@ -1,6 +1,6 @@
 # Docker Image
 
-This article explains how to use the official [Fluentd Docker image](https://hub.docker.com/r/fluent/fluentd/), maintained by [Treasure Data, Inc](http://www.treasuredata.com/).
+This article explains how to use the official [Fluentd Docker image](https://hub.docker.com/r/fluent/fluentd/), maintained by [Treasure Data, Inc](https://www.treasuredata.com/).
 
 * [Fluentd official Docker image](https://hub.docker.com/r/fluent/fluentd/)
 * [Fluentd official Docker image \(Source\)](https://github.com/fluent/fluentd-docker-image)

container-deployment/kubernetes.md

@@ -2,7 +2,7 @@
 
 ![Fluentd + Kubernetes](../.gitbook/assets/fluentd_kubernetes.png)
 
-[Kubernetes](http://kubernetes.io) provides two logging endpoints for applications and cluster logs:
+[Kubernetes](https://kubernetes.io) provides two logging endpoints for applications and cluster logs:
 
 1. Stackdriver Logging for use with Google Cloud Platform; and,
 2. Elasticsearch.

deployment/plugin-management.md

@@ -93,7 +93,7 @@ You should specify the target version with `-v` option:
 
 ## `--gemfile` option
 
-A Ruby application manages gem dependencies using Gemfile and [`Bundler`](http://bundler.io/). Fluentd's `--gemfile` option takes the same approach, and is useful for managing plugin versions separated from shared gems.
+A Ruby application manages gem dependencies using Gemfile and [`Bundler`](https://bundler.io/). Fluentd's `--gemfile` option takes the same approach, and is useful for managing plugin versions separated from shared gems.
 
 For example, if you have the following Gemfile at `/etc/fluent/Gemfile`:
 

deployment/trouble-shooting.md

@@ -76,7 +76,7 @@ If `fluentd` suddenly hits an unexpected high CPU usage problem, there are sever
 * regular expression with broken data
 * system calls have a bug, e.g. `inotify` with lots of files
 
-In such cases, you can use `perf` tool on recent Linux to investigate the problem. See [Linux perf Examples](http://www.brendangregg.com/perf.html) page. If you want to know which call causes the problem, [`pid2line.rb`](https://gist.github.com/nurse/0619b6af90df140508c2) is useful.
+In such cases, you can use `perf` tool on recent Linux to investigate the problem. See [Linux perf Examples](https://www.brendangregg.com/perf.html) page. If you want to know which call causes the problem, [`pid2line.rb`](https://gist.github.com/nurse/0619b6af90df140508c2) is useful.
 
 ## Check Uncaught Logs
 

filter/geoip.md

@@ -140,7 +140,7 @@ Set backend library.
 
 #### Plot Realtime Access Statistics on a World Map using Elasticsearch and Kibana
 
-The `country_code` field is needed to visualize access statistics on a world map using [Kibana](http://www.elasticsearch.org/overview/kibana/).
+The `country_code` field is needed to visualize access statistics on a world map using [Kibana](https://www.elasticsearch.org/overview/kibana/).
 
 Required plugins:
 

how-to-guides/apache-to-mongodb.md

@@ -4,9 +4,9 @@ This article explains how to use [Fluentd](https://fluentd.org/)'s MongoDB Outpu
 
 ## Background
 
-[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](http://www.treasuredata.com/). Because Fluentd handles logs as semi-structured data streams, the ideal database should have strong support for semi-structured data. Several candidates meet this criterion, but we believe [MongoDB](http://www.mongodb.org/) is the market leader.
+[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](https://www.treasuredata.com/). Because Fluentd handles logs as semi-structured data streams, the ideal database should have strong support for semi-structured data. Several candidates meet this criterion, but we believe [MongoDB](https://www.mongodb.org/) is the market leader.
 
-MongoDB is an open-source, document-oriented database developed at [MongoDB, Inc](http://www.mongodb.com/). It is schema-free and uses a JSON-like format to manage semi-structured data.
+MongoDB is an open-source, document-oriented database developed at [MongoDB, Inc](https://www.mongodb.com/). It is schema-free and uses a JSON-like format to manage semi-structured data.
 
 This article will show you how to use [Fluentd](https://fluentd.org/) to import Apache logs into MongoDB.
 
@@ -30,7 +30,7 @@ Fluentd does these three \(3\) things:
 The following software/services are required to be set up correctly:
 
 * [Fluentd](https://www.fluentd.org/)
-* [MongoDB](http://www.mongodb.org/)
+* [MongoDB](https://www.mongodb.org/)
 * [Apache](https://httpd.apache.org/) (with the Combined Log Format)
 
 For simplicity, this article will describe how to set up a one-node configuration.
@@ -42,7 +42,7 @@ You can install Fluentd via major packaging systems.
 
 For MongoDB, please refer to the following downloads page:
 
-* [MongoDB Downloads](http://www.mongodb.org/downloads)
+* [MongoDB Downloads](https://www.mongodb.org/downloads)
 
 ## Install MongoDB Plugin
 

how-to-guides/apache-to-s3.md

@@ -4,7 +4,7 @@ This article explains how to use [Fluentd](https://fluentd.org/)'s Amazon S3 Out
 
 ## Background
 
-[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](http://www.treasuredata.com/). One of the main objectives of log aggregation is data archiving. [Amazon S3](http://aws.amazon.com/s3/), the cloud object storage provided by Amazon, is a popular solution for data archiving.
+[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](https://www.treasuredata.com/). One of the main objectives of log aggregation is data archiving. [Amazon S3](https://aws.amazon.com/s3/), the cloud object storage provided by Amazon, is a popular solution for data archiving.
 
 This article will show you how to use [Fluentd](https://fluentd.org/) to import Apache logs into Amazon S3.
 

how-to-guides/http-to-hdfs.md

@@ -1,10 +1,10 @@
 # Data Collection with Hadoop \(HDFS\)
 
-This article explains how to use [Fluentd](https://fluentd.org/)'s [WebHDFS Output plugin](http://github.com/fluent/fluent-plugin-webhdfs/) to aggregate semi-structured logs into Hadoop HDFS.
+This article explains how to use [Fluentd](https://fluentd.org/)'s [WebHDFS Output plugin](https://github.com/fluent/fluent-plugin-webhdfs/) to aggregate semi-structured logs into Hadoop HDFS.
 
 ## Background
 
-[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](http://www.treasuredata.com/). Fluentd is specifically designed to solve the big-data log collection problem. A lot of users are using Fluentd with MongoDB, and have found that it doesn't scale well for now.
+[Fluentd](https://fluentd.org/) is an advanced open-source log collector originally developed at [Treasure Data, Inc](https://www.treasuredata.com/). Fluentd is specifically designed to solve the big-data log collection problem. A lot of users are using Fluentd with MongoDB, and have found that it doesn't scale well for now.
 
 HDFS \(Hadoop\) is a natural alternative for storing and processing a huge amount of data. It supports an HTTP interface called WebHDFS in addition to its Java library.
 
@@ -128,14 +128,14 @@ drwxr-xr-x   - 1 supergroup          0 2012-10-22 09:40 /log/20121022_14/access.
 
 ## Conclusion
 
-Fluentd with WebHDFS makes the realtime log collection simple, robust and scalable! [@tagomoris](http://github.com/tagomoris) has already been using this plugin to collect 20,000 msgs/sec, 1.5 TB/day without any major problems for several months now.
+Fluentd with WebHDFS makes the realtime log collection simple, robust and scalable! [@tagomoris](https://github.com/tagomoris) has already been using this plugin to collect 20,000 msgs/sec, 1.5 TB/day without any major problems for several months now.
 
 ## Learn More
 
 * [Fluentd Architecture](https://www.fluentd.org/architecture)
 * [Fluentd Get Started](../quickstart/)
 * [WebHDFS Output Plugin](../output/webhdfs.md)
-* [Slides: Fluentd and WebHDFS](http://www.slideshare.net/tagomoris/fluentd-and-webhdfs)
+* [Slides: Fluentd and WebHDFS](https://www.slideshare.net/tagomoris/fluentd-and-webhdfs)
 
 If this article is incorrect or outdated, or omits critical information, please [let us know](https://github.com/fluent/fluentd-docs-gitbook/issues?state=open). [Fluentd](https://www.fluentd.org/) is an open-source project under [Cloud Native Computing Foundation \(CNCF\)](https://cncf.io/). All components are available under the Apache 2 License.