Publishing new version

2 files changed, 3 insertions, 3 deletions

diff --git a/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program.html b/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program.html
index b81eb0c8..e5835bf8 100644
--- a/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program.html
+++ b/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program.html
@@ -51,7 +51,7 @@ h2, h3 {
 <h1>DTail - The distributed log tail program</h1>
 <p class="quote"><i>Written by Paul Buetow 2021-04-22, last updated 2021-04-26</i></p>
 <i>DTail logo image:</i><a href="./2021-04-22-dtail-the-distributed-log-tail-program/title.png"><img alt="DTail logo image" title="DTail logo image" src="./2021-04-22-dtail-the-distributed-log-tail-program/title.png" /></a><br />
-<p>This article first appeared at the Mimecast Engineering Blog but I made it available here in my personal Gemini capsule too.</p>
+<p>This article first appeared at the Mimecast Engineering Blog but I made it available here in my personal internet site too.</p>
 <a class="textlink" href="https://medium.com/mimecast-engineering/dtail-the-distributed-log-tail-program-79b8087904bb">Original Mimecast Engineering Blog post at Medium</a><br />
 <p>Running a large cloud-based service requires monitoring the state of huge numbers of machines, a task for which many standard UNIX tools were not really designed. In this post, I will describe a simple program, DTail, that Mimecast has built and released as Open-Source, which enables us to monitor log files of many servers at once without the costly overhead of a full-blown log management system.</p>
 <p>At Mimecast, we run over 10 thousand server boxes. Most of them host multiple microservices and each of them produces log files. Even with the use of time series databases and monitoring systems, raw application logs are still an important source of information when it comes to analysing, debugging, and troubleshooting services.</p>
diff --git a/gemfeed/atom.xml b/gemfeed/atom.xml
index 7f97acd0..8bad3304 100644
--- a/gemfeed/atom.xml
+++ b/gemfeed/atom.xml
@@ -1,6 +1,6 @@
 <?xml version="1.0" encoding="utf-8"?>
 <feed xmlns="http://www.w3.org/2005/Atom">
-    <updated>2021-05-18T21:32:49+01:00</updated>
+    <updated>2021-05-19T22:03:14+01:00</updated>
     <title>buetow.org feed</title>
     <subtitle>Having fun with computers!</subtitle>
     <link href="https://buetow.org/gemfeed/atom.xml" rel="self" />
@@ -396,7 +396,7 @@ fi
                 <h1>DTail - The distributed log tail program</h1>
 <p class="quote"><i>Written by Paul Buetow 2021-04-22, last updated 2021-04-26</i></p>
 <i>DTail logo image:</i><a href="https://buetow.org/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program/title.png"><img alt="DTail logo image" title="DTail logo image" src="https://buetow.org/gemfeed/2021-04-22-dtail-the-distributed-log-tail-program/title.png" /></a><br />
-<p>This article first appeared at the Mimecast Engineering Blog but I made it available here in my personal Gemini capsule too.</p>
+<p>This article first appeared at the Mimecast Engineering Blog but I made it available here in my personal internet site too.</p>
 <a class="textlink" href="https://medium.com/mimecast-engineering/dtail-the-distributed-log-tail-program-79b8087904bb">Original Mimecast Engineering Blog post at Medium</a><br />
 <p>Running a large cloud-based service requires monitoring the state of huge numbers of machines, a task for which many standard UNIX tools were not really designed. In this post, I will describe a simple program, DTail, that Mimecast has built and released as Open-Source, which enables us to monitor log files of many servers at once without the costly overhead of a full-blown log management system.</p>
 <p>At Mimecast, we run over 10 thousand server boxes. Most of them host multiple microservices and each of them produces log files. Even with the use of time series databases and monitoring systems, raw application logs are still an important source of information when it comes to analysing, debugging, and troubleshooting services.</p>