gsutil error /bootstrapping/gsutil.py

gsutil is giving me the following error. It is installed in its latest version on a linux suse 12. Can you help me? gsutil Traceback (most recent call last): File “/root/google-cloud-sdk/bin/bootstrapping/gsutil.py”, line 13, in import bootstrapping File “/root/google-cloud-sdk/bin/bootstrapping/bootstrapping.py”, line 46, in from googlecloudsdk.core.updater import update_manager File “/root/google-cloud-sdk/lib/googlecloudsdk/core/updater/update_manager.py”, line 36, in from googlecloudsdk.core import yaml File…

fluentd correct mapping and indexing of @timestamp

The timestamp in Kibana is a long field (containing a unix timestamp) with the following configuration: <source> @type tail path /logs/other_vhosts_access.log pos_file /logs/access.log.pos tag apache.access <parse> @type regexp # IPv4 only! Matches “GET <url> HTTP/x.x” expression ^(?<serveraddress>.*?) (?<clientaddress>.*?) – (?<user>.*?) \[(?<@timestamp>.*?)\] “(?<method>\w+) (?<url>.*?) HTTP\/\d\.\d” (?<status>\d+) (?<bytes>\d+) “(?<referrer>.*?)” “(?<agent>.*?)”$ time_key @timestamp # https://docs.ruby-lang.org/en/2.4.0/Time.html#method-i-strftime # 04/Dec/2019:12:35:56 +0100…

Restrict access/visibility between namespaces by linkerd in K8s cluster

I have several projects deployed onto one mammoth size AKS (Azure Kubernetes Services) cluster. There’s linkerd 2.x installed there. Newest version (I can upgrade anytime if required). The thing is that I want to restrict access/visibility of services and namespaces. Imagine that following list of PODs expose standard *:80 http connections. Example 1. NS: App1…

Selinux is preventing to start Tomcat

I have a problem when I launch tomcat on RHEL 8: [[email protected] ~]# systemctl restart tomcat.service Job for tomcat.service failed because the control process exited with error code. See “systemctl status tomcat.service” and “journalctl -xe” for details. [[email protected] ~]# In journalctl I can see: — Unit tomcat.service has begun starting up. Dec 08 14:58:30 TEST…

aws lambda: The duration of deploying a function increase significantly when user and system value in AWS lambda’s cpu info reached the peak

I am currently working with AWS lambda and try to monitor the function performance on it. I deployed simple function on AWS lambda(simple http request send helloworld) every minute, it is expected to have a flat line but there were several peaks and when I looked into the cpu info, user and system value started…