LOG MANAGEMENT AND ANALYTICS

INFRASTRUCTURE MONITORING

APPLICATION MONITORING

DIGITAL EXPERIENCE

Get unified visibility and intelligent insights with SolarWinds Observability SaaS

LEARN MORE

Log Management and Analytics

Explore the full capabilities of Log Management and Analytics powered by SolarWinds Loggly

View Product Info

FEATURES

Proactive Log Monitoring Troubleshooting and Diagnostics with Logs Security and Compliance Log Analysis and Reporting DevOps Integrations Loggly for Enterprise Scale DevOps Products

Infrastructure Monitoring Powered by SolarWinds AppOptics

Instant visibility into servers, virtual hosts, and containerized environments

View Infrastructure Monitoring Info

Application Performance Monitoring Powered by SolarWinds AppOptics

Comprehensive, full-stack visibility, and troubleshooting

View Application Performance Monitoring Info

Digital Experience Monitoring Powered by SolarWinds Pingdom

Make your websites faster and more reliable with easy-to-use web performance and digital experience monitoring

View Digital Experience Monitoring Info

SUPPORTED LOG SOURCES

Android Docker Nginx Linux Apache .NET Python PHP Syslog AWS CloudTrail Heroku Tomcat Syslog endpoint DigitalOcean IIS Kubernetes MySQL Docker Network devices and routers Windows system logs Java Node.js Javascript

View All Supported Log Sources

Technical Resources

Using Loggly Product Documentation API Loggly Library Catalog Sending Logs to Loggly Ultimate Guide to Logging Troubleshooting

Educational Resources

Videos & Webinars Infographics Whitepapers Case Studies Use Cases

APM Integrated Experience

Datasheet Infographic Video: Failed Transaction Check SolarWinds vs Dynatrace SolarWinds vs Datadog SolarWinds vs AppDynamics SolarWinds vs New Relic

Connect with Us

System Status Support Request Blog COVID-19 Resource Center

Loggly Blog Topic: Elasticsearch

7 years ago

Monitoring Elasticsearch with structured JSON: Logfooding, part 2

In this post, I’ll dig into the data that we capture on the Loggly service and show how we structure our data in JSON to make it most useful in the Loggly system. All of the data we send is in JSON,…

Monitoring Elasticsearch with structured JSON: Logfooding, part 2

In this post, I’ll dig into the data that we capture on the Loggly service and show how we structure our data in JSON to…

20 Sep 2017 Elasticsearch
How to monitor Elasticsearch performance like a pro: Logfooding, part 1

At Loggly, we use our own product for a variety of different Elasticsearch monitoring and analysis tasks. This gives us immediate, detailed feedback on how…

13 Sep 2017 Elasticsearch
Infographic: The real costs of ELK (Elastic Stack) Log Management

Elastic Stack (aka ELK Stack) appears on many companies’ log management short lists. But our ELK log management total cost of ownership (TCO) analysis shows that…

26 Jul 2017 DevOps
DIY Elastic Stack: The 5 stages of grief

Log management with (ELK) Elastic Stack: instant gratification? By now, someone you know – a coworker, a boss, or a vendor at a tradeshow –…

17 Jul 2017 DevOps
Elasticsearch ransomware attacks highlight need for better security

This article was originally published on DevOps.com Recently, reports surfaced that a large number of Elasticsearch servers fell victim to potential ransomware attacks. Ransomware is…

05 Feb 2017 Elasticsearch
9 tips on ElasticSearch configuration for high performance

The Loggly service utilizes Elasticsearch (ES) as the search engine underneath a lot of our core functionality. As Jon Gifford explained in his recent post on…

06 Sep 2016 Development
Scaling Elasticsearch for Multi-Tenant, Multi-Cluster

When you start building infrastructure on Elasticsearch (ES), the first architecture usually assumes you can run a single ES cluster. This is the easiest way…

24 Aug 2016 Development
Logging: To ELK or not to ELK? That is the question

Why Elastic Stack / ELK Is a Trending Topic in Log Management Since the time that Elastic launched the ELK stack in 2015 and renamed…

12 May 2016 Technology
Learn how to do no B*LLSH*T benchmarking

Every development team should benchmark its software to understand how it performs and what its performance envelope looks like — that is, where things start…

04 Feb 2016 Use cases
Elasticsearch Filters Put Time on the Side of Log Management Users

Filters Are an Effective Way to Cut Elasticsearch Processing Times Elasticsearch filters are a simple way to increase the performance of your Elasticsearch cluster. Any…

12 Aug 2015 How-tos