Logier.dev
Datadog
Grafana
Sentry.io
Graylog
Prometheus
Grafana
Datadog
NewRelic
Zabbix
Splunk
Kubernetes
Dynatrace
Logier is a desktop log viewer and analysis tool for developers that turns messy, unstructured logs into searchable, visualized, and actionable insights.
Unlike traditional log management platforms that require ingestion pipelines, schemas, or cloud infrastructure, Logier works directly with local files, pasted log content, and temporary debugging sessions. Simply drop in a log file or paste raw log lines, and Logier automatically detects the format, parses entries, clusters duplicate errors, highlights anomalies, and helps identify root causes.
Whether you're working with JSON logs, application logs, server logs, custom formats, or completely undocumented output, Logier provides a consistent workflow for understanding what happened and why. Built with a familiar Visual Studio Code-inspired interface, Logier helps developers spend less time reading logs and more time fixing problems.
Logier.dev PrometheusLogier.dev's answer
Software developers like us who regularly work with log files while debugging applications, APIs, and other systems, and are tired of reading logs line by line.
Logier.dev's answer
Logier automatically parses and visualizes virtually any log format without requiring configuration, schemas, or ingestion pipelines. Developers can drag and drop files, paste logs directly from the clipboard, or work with temporary debugging sessions and immediately start exploring their data.
Logier.dev's answer
Most observability and log analysis platforms are built for production monitoring and require infrastructure, agents, cloud services, or complex setup. Logier is designed for developers who simply need answers from a log file right now.
Logier.dev's answer
At my company, we use an in-house CMS called 2sxc. Whenever I updated one of our clients' websites and something went wrong, I found myself digging through plain-text log files, searching for keywords like "error" and trying to piece together what had happened. That made me wonder: why isn't there a tool that can visualize and make sense of any log format I encounter? That's how the idea for Logier was born.
Based on our record, Prometheus seems to be more popular. It has been mentiond 300 times since March 2021. 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 / 2 months 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 / 3 months 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 / 3 months 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 / 3 months 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 / 4 months ago
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.
Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
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.
Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.
Zabbix - Track, record, alert and visualize performance and availability of IT resources