This article reviews five leading log management solutions—Graylog, LogDNA, ELK Stack, Grafana Loki, and Splunk—detailing their core components, key features, and why they are valuable for monitoring, troubleshooting, and securing modern IT environments.
This article introduces five widely used log management solutions—Graylog, LogDNA, ELK Stack, Grafana Loki, and Splunk—detailing their core components, main features, and why they are valuable for monitoring, troubleshooting, and securing modern IT environments.
This guide explains how to collect and visualize Kubernetes performance metrics—CPU, memory, network, and filesystem—by deploying Heapster with a StatsD sink that forwards data to Splunk's Metrics Store, then using Splunk SPL commands and dashboards for real‑time monitoring.
This article reviews six popular data collection platforms—Apache Flume, Fluentd, Logstash, Chukwa, Scribe, and Splunk Forwarder—explaining their architectures, strengths, and typical use cases within modern big‑data pipelines.
This article reviews major data collection platforms—including Apache Flume, Fluentd, Logstash, Chukwa, Scribe, and Splunk Forwarder—explaining their architectures, strengths, and limitations to help engineers select the most reliable and scalable solution for big‑data pipelines.
This article introduces Splunk as a specialized IT search engine for big data, detailing its data collection, indexing, analysis, reporting, security integration, scalability, and practical use cases such as operational troubleshooting, compliance auditing, and application performance monitoring.
This guide walks you through installing Splunk on Linux or Windows, configuring automatic startup, indexing diverse log sources, and using Splunk’s powerful search, Boolean operators, and timeline features to troubleshoot and analyze system and network logs efficiently.
