Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.
Check out useful Elasticsearch DevOps snippets on Allocation, Caches, Merges, Troubleshooting and more…
Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Check out useful Elasticsearch developer snippets on Data Manipulation, Mapping Parameters, Queries, Aggregations, Document Relationships and more…
Docker Enterprise Edition (EE) simplifies container orchestration and increases the flexibility
and scalability of application deployments. However, the high level of automation create new
challenges for monitoring and log management. Why? Because each container typically runs a single
process, has its own environment, utilizes virtual networks, or has various methods of managing
Elasticsearch is booming. Together with Logstash, a tool for collecting and processing logs, and Kibana, a tool for searching and visualizing data in Elasticsearch (collectively they comprise the “ELK stack”), adoption of Elasticsearch continues to grow by leaps and bounds. In this detailed booklet Sematext’s DevOps Evangelist, Stefan Thies, walks readers through Elasticsearch and ELK stack basics and supplies numerous graphs, diagrams and infographics to clearly explain the essential elements. There is also a “Top 10 Elasticsearch Metrics” list with corresponding explanations and screenshots. The booklet will be especially helpful to those readers new to Elasticsearch and ELK stack, and also to experienced users who want a quick start into performance monitoring.
This all-things-Logging booklet will especially appeal to readers who are looking to replace Splunk or a similar commercial application with Elasticsearch, Logstash, and Kibana (aka, “ELK stack”) or an alternative logging stack. Topics addressed by our logging experts with how-to instructions, screenshots, code, and more include: 5-Minute Logstash: Parsing and Sending a Log File, Encrypting Logs on Their Way to Elasticsearch, Recipe: rsyslog + Elasticsearch + Kibana, and Structured Logging with rsyslog and Elasticsearch. For more information about logging, see logging posts on Sematext Blog.
When Lucene first appeared, this superfast search engine was nothing short of amazing. Today, Lucene still delivers. Its high-performance, easy-to-use API, features like numeric fields, payloads, near-real-time search, and huge increases in indexing and searching speed make it the leading search tool. And with clear writing, reusable examples, and unmatched advice, Lucene in Action, Second Edition is still the definitive guide to effectively integrating search into your applications. It introduces you to searching, sorting, and filtering, and covers the numerous improvements to Lucene since the first edition. Source code is for Lucene 3.0.1.
Some of the other projects we’ve contributed to over the years in one form of another:
Sematext Open Source Projects
Sematext loves open source software (OSS).
We help our customers with a number of OSS search,
data processing, and analytics technologies and we use OSS to build our products.
We also give back in form of contribution to existing OSS projects, participation in the community,
or by open-sourcing new software we’ve built in-house. We are always looking for bright people.