Got a new task to monitor costs on OpenAI – to see how much each project spends per day, and send alerts to Slack if costs exceed a set threshold. I tried several existing exporters for the OpenAI API, but none provided cost metrics per project – so we’ll build one ourselves. To create the… Read More: Golang: creating OpenAI Exporter for VictoriaMetrics0 (0) »
Perhaps everyone has used operators in Kubernetes, for example, PostgreSQL operator, VictoriaMetrics Operator. But what’s going on under the hood? How and to what are CustomResourceDefinition (CRD) applied, and what is an “operator”? And finally, what is the difference between a Kubernetes Operator and a Kubernetes Controller? In the previous part – Kubernetes: Kubernetes APIs,… Read More: Kubernetes: what are the Kubernetes Operator and CustomResourceDefinition0 (0) »
It’s difficult to describe in one post what thousands of books have been written about in a thousand pages, but today we’ll try to quickly review the basics of how hosts communicate on a network. First, let’s talk about the OSI and TCP/IP models, then about packet structure and connection establishment, and finally, we’ll look… Read More: TCP/IP: OSI and TCP/IP models, TCP packets, Linux sockets and… »
In the previous article, we figured out what an MCP is in general, and created a basic MCP server that was connected to Windsurf – see AI: What is the MCP? Now, let’s try to create something more useful, for example, an MCP server that will connect to VictoriaLogs and receive some data. In fact,… Read More: AI: writing an MCP server for VictoriaLogs0 (0) »
Everyone around us is talking about MCPs all the time, and it’s time to understand the topic. So, today we will deal with the basic concepts – “what it is in general”, then we will write our own “micro-MCP server”, and in the next post – something more real, about working with VictoriaLogs. LLM Limitations… Read More: AI: What is the MCP?3 (1) »
To put it very simply, Celery is something we can use to perform tasks outside of our main service. For example, there is a Backend API that has some kind of endpoint to which mobile devices send information that the user has created a new whatever in the application. The task of the Backend is… Read More: Python: introduction to the Celery, and its monitoring configurations0 (0) »
The last time I’ve used decorators in Python about 10 years ago, in Python 2, and I want to refresh my memory a bit, because now I’ve started using them quite actively, so want to see how it works under the hood, and what it is in general. The post turned out a bit… weird?… Read More: Python: introduction to @decorators using FastAPI as an example0 (0) »
We have an AWS Elastic Kubernetes Service cluster, which has a few WorkerNode Groups that were created as AWS AutoScaling Groups by using the eksctl, see the AWS Elastic Kubernetes Service: a cluster creation automation, part 2 – Ansible, eksctl for more details. The WorkerNode Group configuration for the eksctl keeps a set of Tags,… Read More: AWS: Lambda – copy EC2 tags to its EBS, part… »
A confidential data leak such as RDS keys or passwords to a Git repository, even if it is a private Github repository, is a very bad thing and it’s good to check your repositories to know if any developer pushed a commit with such data. Scanning utilities To check Git repositories for a leak, at… Read More: Git: scan repositories for secrets using Gitleaks5 (1) »
The task is to create a Jenkins job to deploy Redis to Dev/Stage/Prod Kubernetes clusters. In the Redis: running Master-Slave replication in Kubernetes we did it manually to see how it’s working, now it’s time to automate it. The main question is how to pass parameters for different environments during the deployment? I’d like to… Read More: Jenkins: Redis deployment, and Helm subchart values0 (0) »