Loggly

Loggly is a cloud-based log management and analytics platform designed for DevOps, IT operations, and engineering teams that need to centralize, monitor, and troubleshoot log data from diverse sources.

Reviewed by 7wData

On this page

Publisher review

Loggly is a cloud-based log management and analytics platform designed for DevOps, IT operations, and engineering teams that need to centralize, monitor, and troubleshoot log data from diverse sources. It serves organizations of varying sizes, from small teams to large enterprises, aiming to simplify log analysis without requiring extensive infrastructure setup. The platform is particularly suited for users who want a straightforward, agent-based log ingestion system with pre-built integrations for common technologies, enabling quick deployment and time-to-value. By focusing on log aggregation, real-time monitoring, and alerting, Loggly helps teams identify application issues, security threats, and performance bottlenecks across their environments.

The platform operates by ingesting logs from a wide array of sources—including Android, Docker, Nginx, Linux, Apache, .NET, Python, PHP Syslog, AWS CloudTrail, Heroku, Tomcat, Syslog endpoints, DigitalOcean, IIS, Kubernetes, MySQL, network devices and routers, Windows system logs, Java, Node.js, and JavaScript—through syslog endpoints, HTTP/S endpoints, or file tailing agents. Once ingested, logs are parsed, indexed, and made searchable via a web-based interface. Key capabilities include proactive log monitoring with customizable alerts, troubleshooting and diagnostics using dynamic faceted search, security and compliance auditing through log retention and access controls, and log analysis with reporting and dashboards. The platform also offers DevOps integrations with tools like Slack, PagerDuty, and webhooks, and supports enterprise-scale features such as role-based access control and multi-tenant accounts. Loggly's search interface allows users to create saved tabs for frequent queries, though some users report that these tabs occasionally disappear.

In the log management market, Loggly competes with platforms like New Relic, which offers broader observability features including APM and infrastructure monitoring. While New Relic provides a more integrated suite for full-stack observability, Loggly focuses specifically on log management with a simpler, more targeted approach. Compared to Datadog, which divides its offerings into dozens of SKUs with granular billing rates, Loggly's pricing is less complex but may lack the depth of features for advanced use cases. Loggly's strength lies in its ease of use and comprehensive integration options, making it a practical choice for teams that prioritize quick setup and focused log analysis over a full observability platform.

The honest trade-offs with Loggly include its narrower scope compared to all-in-one observability tools; it does not natively provide application performance monitoring (APM) or infrastructure metrics, requiring separate tools for those needs. Users have reported that the web search interface occasionally loses saved tabs, which can disrupt workflow consistency. The platform's pricing is not transparently listed on its website, potentially complicating budget planning for prospective buyers. Additionally, while Loggly supports a broad range of log sources, its integration depth with newer technologies like Kubernetes may lag behind competitors that offer more native container support. For teams needing a dedicated, easy-to-use log management solution without the overhead of a full observability stack, Loggly is a viable option, but those requiring integrated APM or advanced analytics may find it limiting.

Get the AI & data signal, daily.

48k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. Proactive Log Monitoring

    Enables real-time monitoring with customizable alerts to detect anomalies, errors, and performance issues across log sources.

  2. Troubleshooting and Diagnostics

    Provides dynamic faceted search and filtering to drill into log data for root cause analysis and issue resolution.

  3. Security and Compliance

    Supports audit trails, log retention policies, and access controls to meet security and regulatory requirements.

  4. Log Analysis and Reporting

    Offers dashboards and reports to visualize log trends, patterns, and metrics for operational insights.

  5. DevOps Integrations

    Integrates with Slack, PagerDuty, webhooks, and other tools to streamline alerting and incident response workflows.

  6. Enterprise Scale

    Includes role-based access control, multi-tenant accounts, and high-volume log ingestion for large organizations.

  7. Broad Source Support

    Ingests logs from 20+ sources including Docker, Kubernetes, AWS CloudTrail, Nginx, and Java via syslog or HTTP/S.

Strengths and trade-offs

Strengths

  • The interface is intuitive and easy to use, reducing the learning curve for new users compared to more complex platforms like Datadog.
  • The alerting system is highly effective, allowing users to set up custom alerts with minimal configuration for proactive issue detection.
  • Comprehensive integration options support over 20 log sources, including Docker, Kubernetes, and AWS CloudTrail, enabling centralized log management.
  • Loggly's cloud-native architecture eliminates the need for on-premise infrastructure, simplifying deployment and maintenance for teams.

Trade-offs

  • The web search interface periodically loses saved tabs, disrupting workflow consistency for users who rely on frequent queries.
  • Pricing is not publicly disclosed on the website, making it difficult for potential buyers to estimate costs without contacting sales.
  • The platform lacks native application performance monitoring (APM) and infrastructure metrics, requiring separate tools for full observability.
  • Integration depth with newer technologies like Kubernetes may be less comprehensive than competitors that offer more native container support.

Pricing context

Pricing is not explicitly stated in the provided sources; users must contact sales for a quote, with plans likely based on log volume and retention.

Getting started with Loggly

  1. Create a Loggly account

    Go to the Loggly website and sign up for an account. You will need to provide your email and organization details. After registration, verify your email to activate the account and access the dashboard.

  2. Set up log sources

    In the Loggly dashboard, navigate to the source setup section. Choose your log source type, such as syslog, HTTP/S, or file tailing agent. Follow the provided instructions to configure your application or server to send logs to Loggly.

  3. Configure log parsing

    Define parsing rules for your log data in the Loggly interface. Use the built-in parsers for common formats like JSON or syslog, or create custom patterns to extract fields such as timestamps, error codes, and IP addresses.

  4. Run a search query

    In the search bar, type a query to find specific log entries, such as errors or warnings. Use filters and faceted search to narrow results by source, time range, or extracted fields. Save the query as a tab for quick access later.

  5. Create an alert

    Go to the alerts section and click to add a new alert. Define the search query that triggers the alert, set the frequency and notification method (e.g., email, Slack, PagerDuty), and enable the alert to start monitoring proactively.

Frequently Asked Questions

What is Loggly and what does it do?

Loggly is a cloud-based log management and analytics platform that helps DevOps, IT, and engineering teams centralize, monitor, and troubleshoot log data from various sources without needing on-premise infrastructure.

What log sources does Loggly support?

Loggly ingests logs from over 20 sources including Docker, Kubernetes, AWS CloudTrail, Nginx, Apache, Java, Python, and syslog endpoints via syslog, HTTP/S, or file tailing agents for centralized monitoring.

How does Loggly pricing work?

Loggly pricing is not publicly listed on its website. Users must contact sales for a quote, with plans likely based on log volume and retention, which can complicate budget planning for potential buyers.

What are the main features of Loggly?

Key features include proactive log monitoring with customizable alerts, dynamic faceted search for troubleshooting, security and compliance auditing, dashboards for log analysis, DevOps integrations with Slack and PagerDuty, and enterprise-scale role-based access control.

How does Loggly compare to Datadog?

Loggly focuses specifically on log management with simpler pricing and ease of use, while Datadog offers a broader observability suite with many SKUs and granular billing. Loggly lacks native APM and infrastructure metrics that Datadog provides.

What are the main weaknesses of Loggly?

Loggly's weaknesses include a web interface that occasionally loses saved tabs, undisclosed pricing requiring sales contact, no native APM or infrastructure monitoring, and less comprehensive Kubernetes integration compared to competitors.

Alternatives

How Loggly compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

Loggly

Pricing
Pricing is not explicitly stated in the provided sources; users must contact sales for a quote, with plans likely based on log volume and retention.
Target
Loggly is a cloud-based log management and analytics platform designed for DevOps, IT operations, and engineering teams that need to centralize, monitor, and troubleshoot log
Strength
The interface is intuitive and easy to use, reducing the learning curve for new users compared to more complex platforms like Datadog.
Watch for
The web search interface periodically loses saved tabs, disrupting workflow consistency for users who rely on frequent queries.

Logit.io

Pricing
Custom pricing with unlimited users and querying
Target
Security-conscious enterprises needing compliance
Deployment
Cloud
Strength
SOC2/HIPAA/PCI compliance with EU/UK/US data centers
Watch for
No free tier, requires consultation for pricing

Sumo Logic

Pricing
$108/month for 1GB/day ingest
Target
Teams needing 24/7 live support
Deployment
Cloud
Strength
Strong query language and scheduled queries
Watch for
Higher entry cost than Loggly's $79/month tier

Datadog

Pricing
$0.10/GB ingested after free tier
Target
Full-stack observability users
Deployment
Cloud
Strength
Integrated logs, metrics, and APM
Watch for
Cost escalates quickly with high-volume logging

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. www.loggly.com
  2. www.trustradius.com
  3. www.loggly.com
  4. www.loggly.com
  5. www.exafol.com