RCA Series: What is Root Cause Analysis? (1/4)
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.
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RCA Series: Root Cause Analysis in Observability with Elastic AIOps (2/4)
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.
RCA Series: Accelerate security investigations w/ machine learning and Elastic (3/4)
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.
RCA Series: Root Cause Analysis in Manufacturing, Electric Grids & Connected Devices (4/4)
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).
Logging for public sector: How to make the most of your mission-critical data
With governments doubling down on logging compliance, many public sector organizations have been focusing on optimizing their log management, especially to ensure they retain logs for required periods of time. Logs — though seemingly straightforward — are the backbone of many mission-based use cases and therefore have the potential to accelerate mission success when centrally organized and leveraged strategically. In public sector, logs are instrumental in.
Instrumenting Java APM agent with Azure App Service
Watch this video for a detailed walkthrough on instrumenting the pet clinic app with Elastic Observability''s Java APM agent on Azure App Service.
Root cause analysis with logs: Elastic Observability's AIOps Labs
In the previous blog in our root cause analysis with logs series, we explored how to analyze logs in Elastic Observability with Elastic’s anomaly detection and log categorization capabilities. Elastic’s platform enables you to get started on machine learning (ML) quickly. You don’t need to have a data science team or design a system architecture. Additionally, there’s no need to move data to a third-party framework for model training.
Enriching and troubleshooting logs with Elastic Observability
Learn how to add enriched information (new fields) to help analysis from ingested log data in Elastic Observability.
Log monitoring and unstructured log data, moving beyond tail -f
Log files and system logs have been a treasure trove of information for administrators and developers for decades. But with more moving parts and ever more options on where to run modern cloud applications, keeping an eye on logs and troubleshooting problems have become increasingly difficult. Watch this video to learn how to go beyond tail -f and process custom and unstructured logs with Elastic.
How to add support for more languages in your Elastic Enterprise Search engines
Engines in Elastic App Search enable you to index documents and provide out-of-the-box, tunable search capabilities. By default, engines support a predefined list of languages. If your language is not on that list, this blog explains how you can add support for additional languages. We’ll do this by creating an App Search engine that has analyzers set up for that language.