Logstash vs Stackdriver

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Logstash

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8.7K
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103
Stackdriver

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Logstash vs Stackdriver: What are the differences?

Introduction: Logstash and Stackdriver are two popular tools used for log management and monitoring in the IT industry. While both tools offer similar functionalities, there are key differences that make them unique in their own way.

  1. Deployment Environment: Logstash is a part of the Elastic Stack and is typically deployed on-premises or in a private cloud environment. On the other hand, Stackdriver is a cloud-based monitoring service provided by Google Cloud Platform, which means it is primarily deployed in the cloud.

  2. Integration with Cloud Services: Stackdriver is tightly integrated with other Google Cloud services, providing seamless monitoring and logging capabilities for applications and services running on Google Cloud Platform. Logstash, on the other hand, offers more flexibility in terms of integration with various cloud providers and service platforms.

  3. Alerting Capabilities: Stackdriver comes with robust alerting capabilities that allow users to set up custom alerts based on predefined conditions. Logstash, while it can be integrated with alerting systems, does not have built-in alerting functionalities, requiring additional tools or configurations for setting up alerts.

  4. Ease of Use and Configuration: Stackdriver provides a user-friendly interface with easy-to-use dashboards and predefined metrics, making it easier for users to monitor and manage their resources. Logstash, being a part of the Elastic Stack, requires more configuration and setup to get started, especially for users who are new to the ELK stack.

  5. Support for Multiple Data Sources: Logstash is known for its versatility in processing and shipping logs from various sources, making it a popular choice for log aggregation and data processing. Stackdriver, while it supports logging and monitoring for a wide range of services, may have limitations in terms of data sources compared to Logstash.

  6. Cost Structure: Stackdriver is a paid service with pricing based on usage and resource consumption, which may be a factor for organizations looking for a cost-effective monitoring solution. Logstash, being an open-source tool, provides a cost-effective option for organizations seeking log management and monitoring capabilities without incurring additional costs for licensing or subscriptions.

In Summary, Logstash and Stackdriver differ in terms of deployment environment, integration with cloud services, alerting capabilities, ease of use and configuration, support for multiple data sources, and cost structure.

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Pros of Logstash
Pros of Stackdriver
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented
  • 19
    Monitoring
  • 11
    Logging
  • 8
    Alerting
  • 7
    Tracing
  • 6
    Uptime Monitoring
  • 5
    Error Reporting
  • 4
    Multi-cloud
  • 3
    Production debugger
  • 2
    Many integrations
  • 1
    Backed by Google
  • 1
    Configured basically with GAE

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Cons of Logstash
Cons of Stackdriver
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
  • 2
    Not free

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What is Logstash?

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

What is Stackdriver?

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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What companies use Logstash?
What companies use Stackdriver?
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What tools integrate with Logstash?
What tools integrate with Stackdriver?

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Blog Posts

May 21 2019 at 12:20AM

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What are some alternatives to Logstash and Stackdriver?
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Beats
Beats is the platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch.
Graylog
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
See all alternatives