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Analytics

Elasticsearch Ingest Node vs Logstash Performance

Starting from Elasticsearch 5.0, you’re able to define pipelines within it that process your data, in the same way you’d normally do it with something like Logstash. We decided to take it for a spin and see how this new functionality (called Ingest) compares with Logstash filters in both performance and functionality. Is it worth sending data directly to Elasticsearch or should we keep Logstash?

5 Splunk Alternatives - Faster, Affordable Log Management Solutions

Since its first release in 2007, Splunk quickly became one of the leading log management solutions. Its focus on enterprise grade log analysis and security incident and event management (SIEM) made it the de facto choice for organizations generating large volumes of log files and machine data. But over the past decade, the log management landscape has changed drastically.

Make time-series exploration easier with the PostgreSQL/TimescaleDB query editor

Grafana v5.3 comes with a new visual query editor for the PostgreSQL datasource. The query editor makes it easier for users to explore time-series data by improving the discoverability of data stored in PostgreSQL. Users can use drop-down menus to formulate their queries with valid selections and macros to express time-series specific functionalities, all without a deep knowledge of the database schema or the SQL language.

Using Audit Logs for Security and Compliance

Most software and systems generate audit logs. They are a means to examine what activities have occurred on the system and are typically used for diagnostic performance and error correction. System Administrators, network engineers, developers, and help desk personnel all use this data to aid them in their jobs and maintain system stability. Audit logs have also taken on new importance for cybersecurity and are often the basis of forensic analysis, security analysis, and criminal prosecution.

Power to the People: Control Your Own Trigger Destiny with Webhooks

When we release something new, whether it’s a new SDK or Beeline or a new feature in the UI, we’ll often set a Honeycomb Trigger to keep track of its use. Sometimes we don’t necessarily have a customer we know is immediately going to use the feature in question, and we’re interested in when it happens.