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What is Logz.io?

Engineers have a deep affection for open-source solutions. We enhanced leading open-source monitoring tools like Jaeger, Prometheus, and ELK, merging them into a robust and scalable SaaS platform. This allows you to gather and analyze all your logs, metrics, traces, and additional data in a single location for comprehensive monitoring. With our user-friendly and customizable dashboards, you can easily visualize your data. Logz.io employs an AI/ML human-coach that automatically identifies and rectifies errors or exceptions in your logs. Our system can alert you via Slack, PagerDuty, Gmail, and other channels, ensuring you can swiftly address new incidents. You can centralize your metrics at any level through our Prometheus-as-a-service offering. By unifying logs and traces, we simplify the monitoring process. Getting started is easy—just add three lines of code to your Prometheus configuration file to initiate the forwarding of your metrics and data to Logz.io, streamlining your monitoring experience even further. This integration ultimately enhances your operational efficiency and response times.

What is Google Cloud Trace?

Cloud Trace is an all-encompassing distributed tracing solution that collects latency metrics from applications and displays this information within the Google Cloud Console. This powerful tool empowers users to track the progression of requests throughout their applications, offering nearly instantaneous insights into performance. It systematically analyzes all traces generated by the application to create comprehensive latency reports, which assist in pinpointing any performance bottlenecks. Furthermore, Cloud Trace can capture traces from diverse environments, such as virtual machines, containers, and App Engine projects. Users can investigate specific latency metrics for individual requests or examine the overall latency accumulated across the entire application. The platform is equipped with various tools and filters that streamline the process of identifying bottlenecks and understanding their root causes. Built on the same foundational principles that enable Google to maintain the flawless operation of its services at an extensive scale, this system represents a strong and dependable solution for performance monitoring. Consequently, it serves as a vital asset for developers focused on the effective optimization of their applications, making it easier to enhance user experience. By leveraging Cloud Trace, developers can ensure that their applications run smoothly and efficiently, ultimately leading to improved performance outcomes.

Media

Media

Integrations Supported

AlertOps
PagerDuty
Squadcast
AWS IoT SiteWise
Amazon Web Services (AWS)
Apache Kafka
Aspecto
Check Point IPS
Check Point Infinity
Docker
Edge Delta
Google Cloud Platform
Kubernetes
Shift
StackState
Uptime.com

Integrations Supported

AlertOps
PagerDuty
Squadcast
Google Cloud IoT Core
Last9
NudgeBee
xMatters

API Availability

API Availability

Pricing Information

$89 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Logz.io

Date Founded

2015

Company Location

Israel

Company Website

logz.io

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/trace

Categories and Features

Cloud Monitoring

Not specified

Log Analysis

Not specified

Log Management

Archiving
Compliance Reporting
Data Visualization
Event Logs
Syslogs
Web Logs

Log Monitoring

Not specified

Observability

Not specified

SIEM

Not specified

Categories and Features

Cloud Management

Capacity Analytics
Multi-Cloud Management
Performance Analytics

Cloud Monitoring

Not specified

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