Loggly

Loggly is a cloud-based log management and analytics service founded in 2009 that provides centralized aggregation, search, and visualization of machine-generated data for software and infrastructure teams. It competes in the observability and log management market alongside companies such as Splunk, Elastic, Datadog, Sumo Logic, and New Relic. Loggly was acquired by SolarWinds in 2018 and has been used by organizations across industries including enterprises, startups, and public sector agencies for diagnosing incidents, monitoring applications, and analyzing events.

History

Loggly was established in 2009 during a period of rapid growth in cloud computing and Amazon Web Services adoption, contemporaneous with companies like Rackspace, Heroku, and Red Hat. Early funding and growth paralleled the rise of open-source projects such as Logstash, Elasticsearch, and Kibana in the ELK stack. Over time Loggly integrated with services from GitHub, Bitbucket, and continuous integration platforms like Jenkins and Travis CI. The company competed with and complemented offerings from Microsoft Azure, Google Cloud Platform, and IBM Cloud. In 2018 Loggly became part of SolarWinds amid consolidation in the monitoring and IT management sector that also involved vendors like CA Technologies and BMC Software. Post-acquisition roadmaps aligned Loggly with SolarWinds’ portfolio alongside products from Pingdom and Papertrail.

Products and Features

Loggly's core offering centers on centralized log collection, full-text indexing, and interactive search, comparable in purpose to Splunk Enterprise, Elastic Cloud, and Graylog. Features include real-time aggregation of syslog, application logs, and structured JSON logs, similar to capabilities promoted by Fluentd and Logstash. Visualization capabilities allow dashboards and charts reminiscent of Kibana and Grafana, and integrations enable alerting workflows with platforms such as PagerDuty, VictorOps, Opsgenie, and Slack. For development workflows, Loggly supports integrations with GitHub, GitLab, and Bitbucket as well as deployment tooling from Ansible, Chef, and Puppet. Log parsing, pattern extraction, and anomaly detection borrow concepts seen in Prometheus metrics and machine-data analytics from Datadog.

Architecture and Integration

Loggly operates as a multitenant, cloud-hosted service that ingests logs via syslog, HTTPS APIs, and language-specific libraries and agents, analogous to ingestion patterns used by Logstash, Fluent Bit, and Vector (software). Its backend historically leveraged indexing technologies related to Elasticsearch-style inverted indices and distributed search paradigms employed by Apache Lucene. For cloud-native deployments, Loggly integrates with Kubernetes, Docker, and orchestration systems like OpenShift and EKS from Amazon Web Services. Log routing and collection workflows interoperate with monitoring and telemetry stacks including Prometheus, Telegraf, and StatsD, and downstream alerting ties into PagerDuty and ServiceNow. Authentication and access control commonly integrate with identity providers such as Okta, Azure Active Directory, and OneLogin.

Use Cases and Performance

Common use cases include troubleshooting application errors in stacks using languages and frameworks such as Java, Node.js, Python, Ruby on Rails, and .NET Framework; diagnosing infrastructure issues on platforms like Amazon EC2 and Google Compute Engine; and supporting compliance and auditing for deployments in environments influenced by organizations like Salesforce and SAP SE. Loggly is employed for performance monitoring and service-level objective analysis alongside tools from AppDynamics and Dynatrace. Reported performance characteristics emphasize near-real-time search and retention trade-offs similar to Splunk Light and Sumo Logic, with scalability considerations for high-throughput environments using load-balancing technologies such as HAProxy and NGINX. Large-scale customers often pair Loggly with metrics systems like Prometheus and tracing systems like Jaeger or Zipkin for full observability.

Security and Compliance

Security features center on encrypted transport (TLS/SSL), role-based access controls integrating with identity providers such as Okta and Azure Active Directory, and audit logging compatible with frameworks referenced by organizations like NIST and ISO/IEC 27001. Compliance-oriented customers in sectors influenced by HIPAA and PCI DSS requirements use Loggly in conjunction with security information and event management platforms such as Splunk Enterprise Security and IBM QRadar. Network-level protections mirror patterns used with AWS VPC and Google Cloud VPC architectures, and incident response workflows often leverage integrations with PagerDuty and ServiceNow.

Category:Cloud computing companies Category:Log management