Operations | Monitoring | ITSM | DevOps | Cloud

In this video, we will use VPC flow logs as an example to demonstrate how to send logs from Amazon Kinesis Data Firehose to Elastic Cloud and how to use Elastic Observability to analyze the ingested logs.

Part 1 of the series explains why root cause analysis is important in IT/OT, the 4 phases how root cause analysis is performed, and describes popular approaches.

Find the answers that matter to your mission. From all data. In real time. At scale. By democratizing data access and findability, the AI-powered Elasticsearch platform provides a foundation for real-time situational awareness, cybersecurity, application and infrastructure monitoring, and more.

The Met Office, the UK's national weather service, is tasked with predicting the unpredictable - the ever-changing weather patterns that can have a huge impact on people's lives. Having been in the business for over 150 years, they require a reliable and powerful monitoring and insights capability to ensure their systems and processes run optimally.

This introduction to the series explains why root cause analysis is important in IT/OT, the 4 phases how root cause analysis is performed, and describes popular approaches.

Root cause analysis empowers you to prevent issues from recurring that were revealed by your monitoring IT systems and online applications including eCommerce sites. See Elastic engineers walk you through applying four AIOps capabilities and accelerate MTTR by automatically categorizing logs, explaining log rate spikes, visually inspecting anomalous components in their context, and correlating slow or failed transactions with potential root causes.

Comprehensive security requires multiple layers of threat protection. Sophisticated threats exploit idiosyncrasies in your environment. Unsupervised machine learning identifies patterns of normal activity from your data, and therefore can catch attacks that standard approaches to threat hunting, such as pre-defined rules, are likely to miss. This video explains how machine learning adds a layer to your threat protection, and how interactive tools offered in the Elastic Security solution accelerate the investigation of security incidents.

With digitization adopted in many industries, real-time data from manufacturing and operational equipment can be used to monitor and optimize operation - by applying data-driven modeling including machine learning. Learn how you can ingest sensor data from industrial processes and operational equipment into Elastic, build monitoring dashboards and set up automated alerts in Kibana, and apply predictive modeling to optimize your operations (OT).

Watch this video for a detailed walkthrough on instrumenting the pet clinic app with Elastic Observability''s Java APM agent on Azure App Service.

Learn how to add enriched information (new fields) to help analysis from ingested log data in Elastic Observability.