I thought of adding another Proxmox node to the cluster. Instead of having PBS on separate physical box I wanted to have it virtualized, same as on any other environment I setup. So I installed fresh copy of the same Proxmox VE version and tried to join the cluster. And then this message came: And plenty other regarding hostname, SSH keys, quorum etc. Finally Proxmox UI went broke as I was unable to sign in. Restarting cluster services ended with some meaningless information. So I was a little bit worried about the situation. Of cource I got backup of all
Lets say you want to pass traffic from your local container/VM via some external pfSense box. This way there is no need to setup VPN on each container you want to include in the setup. There is OpenVPN option to pass all traffic thru the tunnel, but it breaks several other things both locally and on remote pfSense box. So there is this network configuration: Local virtualizated pfSense purpose is to pass-thru traffic. So it has only one interface which is WAN. No LAN interface over there. Addressing can be the same as on local physical pfSense. You need to
If you have OpenHAB on Proxmox or any other virtualization and it sometimes fails to grab RTSP stream and create snapshots, then there is high chance that everything is fine with the camera and network and the problem is within your server hardware. I was investigating this matter a lot and came into this simple conclusion. If camera does not have built snapshot URL coming from ONVIF (like on EasyCam WiFi with both ONVIF and Tuya) then your OpenHAB will try to make one from RTSP stream with ffmpeg. It starts ffmpeg process which will periodically (in my case every
IP2Location is a IP address databases where you can find the latest IP to location associations. The complete IPv4 range is 4 294 967 296 addresses which is 32 bit. IP2Location contains 4 291 944 710 addresses which is a little less. However as much as 608 487 295 addresses come with no location set. It is because of: Above should not have location set as those are special IPv4 ranges. So valid commercial (and non-commercial also) use IPv4 addresses count should be somewhere near value of 3 683 457 415, which is all addresses minus addresses without location. DARPA
From 8k to 29k writes per second We took IP2Location version DB11 database. It holds few millions of IPv4 ranges which should unwrap onto over 2 billion addresses. Such number of entries is actually not a big deal for PostgreSQL RDBMS or Apache Cassandra distributed databases system. However there is an issue of ingestion speed. The question is how quick I can programmatically compute IP addresses for IP ranges and insert them in persistant storage. PostgreSQL can hold easily around 10TB of data in single node. It can hold even more especially if divided into separate partitions/tables or use multiple
Did you know that you can use the Polish LLM Bielik from SpeakLeash locally, on your private computer? The easiest way to do this is LM Studio (from lmstudio.ai). Why use a model locally? Just for fun. Where we don’t have internet. Because we don’t want to share our data and conversations etc… You can run it on macOS, Windows and Linux. It requires support for AVX2 CPU instructions, a large amount of RAM and, preferably, a dedicated and modern graphics card. Note: for example, on a Thinkpad t460p with i5 6300HQ with a dedicated 940MX 2GB VRAM card basically
Recently my pfSense running on the same hardware for almost 3 years, died. I tried rebooting it and removing RAM, cards etc, with no luck. So decided to bring it back from configuration backup onto new drive. But after few days I stared investigating this matter and I got some temporary solution to start it back. Here is how kernel panic looks like. It says: “Attempt to query device size failed” and “zfs: freeing free segment”. The latter is the cause of the problem with system starting up. First, select “3” to escape to loader prompt: Then set: And you
Distributed, partitioned, multi-master, increment horizontal scale-out NoSQL data manegement system for global mission-critical use cases handling petabyte sized datasets Dynamo, Amazon, Facebook, Apache… “Reliability at massive scale is one of the biggest challenges we face at Amazon“ source: “Dynamo: amazon’s highly available key-value store” In 2004 there have been performance issues in Amazon e-commerce handling due to high traffic. By 2007 the concept of Dynamo has been materialized as Amazon S3. Then in 2008 Facebook with co-authors of Amazon Dynamo developed its own distributed NoSQL system, Cassandra. In 2009 Cassandra became Apache’s project. However, Amazon’s DynamoDB came in 2012, it
Have you ever wondered how many tables can we create and use in PostgreSQL database server? Shall we call them partitions or shards? Why not to use built-in “automatic” partitioning? Partitions or shards? Lets first define the difference between partitions and shards. Partitions are placed on the same server, but shards can be spread across various machines. We can use inheritance or more recent “automatic” partitioning. However both of these solutions lead to tight join with PostgreSQL RDBMS, which in some situations we would like to avoid. Imagine a perspective of migrating our schemas to different RDBMS like Microsoft SQL