Logstash vs Stackdriver

Overview

Stackdriver

Stacks318

Followers349

Votes67

Logstash

Stacks12.3K

Followers8.8K

Votes103

GitHub Stars14.7K

Forks3.5K

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.

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.
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.
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.
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.
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.
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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Detailed Comparison

Stackdriver	Logstash
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.	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.
Monitoring;Logging;Diagnostics;Application Tracing;Error Reporting;Alerting;Uptime Monitoring;Multi-cloud;Production Debugger;	Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Statistics
GitHub Stars -	GitHub Stars 14.7K
GitHub Forks -	GitHub Forks 3.5K
Stacks 318	Stacks 12.3K
Followers 349	Followers 8.8K
Votes 67	Votes 103
Pros & Cons
Pros 19 Monitoring 11 Logging 8 Alerting 7 Tracing 6 Uptime Monitoring Cons 2 Not free	Pros 69 Free 18 Easy but powerful filtering 12 Scalable 2 Kibana provides machine learning based analytics to log 1 Well Documented Cons 4 Memory-intensive 1 Documentation difficult to use
Integrations
No integrations available	Kibana Elasticsearch Beats

What are some alternatives to Stackdriver, Logstash?

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

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.

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

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.

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Related Comparisons

Logstash vs Stackdriver: What are the differences?

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.
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.
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.
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.
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.
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.

Logstash vs Stackdriver

Overview