Operations | Monitoring | ITSM | DevOps | Cloud

December 2018

Generating Word Embeddings with Gensim's word2vec

During our Activate presentation, we talked about how to do query expansion by dynamically generating synonyms. Instead of statically defining synonyms lists, we showed a demo of how you could use word2vec to derive synonyms from a dataset. Before we start, check out a useful Solr Cheat Sheets to guide you through Solr and help boost your productivity and save time.

Streamlined Kubernetes Cluster Agent

Sematext provides a single pane of glass and machine learning powered alerts for logs, metrics, traces and digital user experience data. The new Sematext agent is fully Docker Engine and Kubernetes-aware. (Re)written in Go, it has a minimal memory and CPU footprint. It also collects Kubernetes metrics in the most optimal fashion possible.

Cutting-Edge Observability Tools into a Single Platform

Sematext provides a single pane of glass and machine learning powered alerts for logs, metrics, traces and user experience data. Sematext Cloud provides advanced monitoring, logging and tracing for all Docker platforms such as Docker EE, Kubernetes, GKE, AWS ECS, and IBM Cloud. Sematext’s new monitoring agent leverages the powerful eBPF Linux kernel observability functionality and uses the Kubernetes API to enrich the container and cluster level metrics.

The New Version of Logagent Enriches Container Logs with Metadata and GeoIP

Logagent is a modern, open-source, light-weight data shipper with out of the box and extensible log parsing, on-disk buffering, secure transport and bulk indexing to Elasticsearch and Sematext Cloud. Its low memory footprint and low CPU overhead make it suitable for deploying on edge nodes and devices, while its ability to parse and structure logs makes it a great Logstash alternative.