Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
pyenv
UV
Python Poetry
Ollama
pipx
Git
VS Code
iTerm2
Prometheus pyenvBased on our record, Prometheus seems to be a lot more popular than pyenv. While we know about 300 links to Prometheus, we've tracked only 4 mentions of pyenv. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 11 days ago
Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool โ it's an ecosystem. - Source: dev.to / 19 days ago
To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / 28 days ago
In this post, we compare two forecasting models, Chronos (ChronosโBolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 1 month ago
For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 2 months ago
Install runtimes for your programming languages (e.g., Python, Node.js) using package managers. Use version managers (e.g., pyenv, nvm) to handle multiple language versions across projects. - Source: dev.to / 3 months ago
On macOS pyenv is a tool for managing multiple Python versions. It allows you to install and switch between different Python versions on a per-project basis by creating a .python-version file in the project root. - Source: dev.to / 4 months ago
So what should you do now? You can either check out the open source python tool called pyEnv. This lets you manage multiple versions of python binary in your system. This is the go-to choice of many python software developers. So I think you should at least know about it even if you don't find it your best option considering your workflow. - Source: dev.to / 6 months ago
Iโve done the tedious work for you. For managing Python versions like a pro, I recommend pyenv:. - Source: dev.to / 7 months ago
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
UV - An extremely fast Python package and project manager, written in Rust.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
Python Poetry - Python packaging and dependency manager.
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
Ollama - The easiest way to run large language models locally