Uptrace

Moldova
2024
  |  By Uptrace
Efficient monitoring tools are crucial for maintaining the performance, security, and reliability of your infrastructure. This comprehensive guide covers the top 10 best monitoring tools for IT infrastructure, offering insights into their features, benefits, and use cases. We'll also provide a monitoring tools list and examples to help you choose the best solutions for your needs.
  |  By Uptrace
Exploring Open Source Alternatives to Datadog? Datadog can have a steep learning curve and be costly, especially if you are monitoring numerous hosts or managing a large team.
  |  By Uptrace
DataDog and Grafana are leading tools in the monitoring and data visualization space. While they share some common ground, their approaches and strengths differ significantly. This comprehensive guide will help you choose the right tool for your specific needs in 2024.
  |  By Uptrace
Monitoring Redis, an in-memory data structure store, is crucial to ensure its performance, availability, and efficient resource utilization. By tracking metrics such as command latency, memory usage, CPU utilization, and throughput, you can identify areas for optimization and fine-tune your Redis configuration for optimal performance.
  |  By Uptrace
Log management tools provide visibility into the performance and behavior of systems, applications, networks, and infrastructure components. By collecting and analyzing logs, you can monitor for anomalies, track trends, and identify potential issues before they escalate. Choosing the right log management solution requires careful consideration of several factors to ensure that it meets your specific needs and goals. Here are the most popular open source log management tools to help you choose.
  |  By Uptrace
The Uptrace team is pleased to present the latest v1.7 release, which introduces dark mode, revamped navigation, dashboards list, system tracing metrics, and much more.
  |  By Uptrace
Distributed tracing tools are essential in modern software development and operations for monitoring, troubleshooting, and optimizing complex distributed systems. The best tracing tools can help you eliminate performance bottlenecks and recover from incidents faster. Use this guide to pick the right one for you.
  |  By Uptrace
Choosing an OpenTelemetry backend depends on several factors, such as your monitoring and observability requirements, current infrastructure, scalability needs, and budget constraints.
  |  By Uptrace
In Golang, the "context deadline exceeded" error typically occurs when an operation exceeds the context deadline. This article is a troubleshooting guide for this error and its possible causes.
  |  By Uptrace
The Uptrace team is pleased to present the latest v1.6 release, which adds support for service graphs, Prometheus remote write, Grafana data source for Prometheus, annotations, and much more.
  |  By Uptrace

Uptrace is an OpenTelemetry tracing tool that monitors performance, errors, and logs
https://get.uptrace.dev/

Uptrace is an open source APM that supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up automatic alerts to receive notifications via email, Slack, Telegram, and more.

Uptrace collects and analyzes data from a variety of sources, including servers, databases, cloud providers, monitoring tools, and custom applications. It provides a unified view of the entire technology stack, enabling you to monitor the performance, availability, and health of your systems in real time.

Features:

  • Single UI for traces, metrics, and logs.
  • SQL-like query language to aggregate spans.
  • Promql-like language to aggregate metrics.
  • Built-in alerts with notifications via Email, Slack, WebHook, and AlertManager.
  • Pre-built metrics dashboards.
  • Multiple users/projects via YAML config.
  • Single sign-on (SSO): Okta, Keycloak, Cloudflare, Google Cloud, and others.
  • Ingestion using OpenTelemetry, Vector, FluentBit, CloudWatch, and more.
  • Efficient processing: more than 10K spans / second on a single core.
  • Excellent on-disk compression: 1KB span can be compressed down to ~40 bytes.

Open Source Observability with Traces, Metrics, and Logs.