Complete Elastic Stack 8 Course | Hands-On Project Included

Learn to provision lab virtual machines with vagrant by cloning the beats repo, installing vagrant and git, and using vagrant up and ssh to set up httpd and MySQL master.

Provision an Elasticsearch cluster for testing with Docker Compose, deploying Elasticsearch nodes and Kibana. From an env file, run in background and access Kibana at localhost:5601 with the elastic user.

Explore how Elasticsearch delivers real-time, distributed, and scalable search and analytics across indices and documents, with node roles and clusters within the Elastic Stack enabling reliability and performance.

Master data ingestion and document indexing in Elasticsearch, from logs and metrics to beats and logstash, enabling fast, searchable json documents via inverted indexes.

Learn to perform create, read, update, and delete operations in Elasticsearch, manage documents in an index, and execute search queries with boolean, range, and fuzzy features.

Model data in Elasticsearch by defining documents, fields, data types, and relationships, and use explicit mapping to ensure fast, relevant search results and accurate indexing.

Explore analyzers, tokenizers, and filters in Elasticsearch to transform text into search tokens. Learn how character filters, lowercase, stopword removal, stemming, and custom analyzers optimize indexing and search.

Install and configure Elasticsearch 8 on Ubuntu 22, set up the cluster named ES demo, bind to all interfaces, enable and verify the service, and access via http for testing.

Create an index, add a document, and search the index in Elasticsearch using curl commands on localhost 9200.

Beats are lightweight, go-written agents in the Elastic Stack that collect data from various sources and send it to Elasticsearch, simplifying ingestion via input, processor, and output components.

Install metricbeat to monitor and ship system metrics to Elasticsearch. Download the signing key, configure the repository, update packages, install metricbeat, enable the service, and verify status.

Configure metricbeat by loading modules, setting Elasticsearch output, and validating data; explore module files, dynamic reload, templates, shards, compression, and custom fields.

Edit metricbeat.yml to point Elasticsearch to localhost, enable system metrics, and disable network metrics. Start metricbeat, verify status, and inspect the metricbeat index and fields with curl.

Explore Kibana, an open source data visualization platform in the Elastic Stack, to visualize and analyze Elasticsearch data with dashboards, charts, maps, and time series.

Install Kibana via apt, add the public signing key, consult Elastic docs, configure /etc/kibana/kibana.yaml to connect to Elasticsearch, then start, enable, and verify with netstat.

Install and access Kibana on Ubuntu 22 via the Debian package to visualize and analyze Elasticsearch data through the Kibana dashboard and discover metrics.

Create and save Kibana visualizations to analyze Elasticsearch metrics, using Lens line charts to monitor CPU system percentage and display top hosts by agent hostname.

Create a Kibana line visualization to monitor system memory actual free in megabytes, with host name breakdown, saved as system free memory for dashboard use.

Create your first Kibana dashboard by adding visualizations, such as system CPU and system memory, and monitor metrics from Metricbeat in one view.

Explore Kibana Discover to filter, visualize, and analyze metrics with Kql syntax, focusing on the Turkey PC virtual machine, and learn to tailor columns, save searches, and retrieve results.

Start a self-managed 30-day Elastic Stack trial by checking eligibility with get_license_trial_status and starting the trial with post_license/start_trial?knowledge=true, then explore Elastic Stack features during the trial.

Secure the Elastic Stack by implementing authentication and authorization, encryption in transit and at rest, and auditing and monitoring to detect threats and protect data.

Explore how Zpack strengthens Elastic Stack security with X spec, adding alerts, monitoring, and reports, plus machine learning, while enabling encrypted client connections and SSL for node-to-node communications.

Enable security for Elasticsearch by editing the main configuration file and setting security features to true. Restart the Elasticsearch service, then verify it is active and running on port 9200.

Enroll Kibana with security enabled by resetting the Elasticsearch user password, creating an enrollment token, and using Kibana setup to complete enrollment and verify access.

Modify metricbeat's configuration to align with Elasticsearch security, enabling authentication with the configured username, password, and SSL certificate authorities, then restart metricbeat and verify new metrics in Kibana.

Explore how RBAC in Elastic Stack enhances security and efficiency by assigning access rights to user roles across Elasticsearch and Kibana.

Learn to create a read-only role in Kibana, assign a user to it, and grant read access to the Metricbeat index for safe data retrieval.

Create a Kibana role with metricbeat read access and analytics permissions, then create a Kibana user bound to that role, granting dashboard, discover, and visualize library access only.

Learn to monitor and improve observability in Elasticsearch clusters using robust features for health, node and index monitoring, log and event data analysis, Kibana visualization, and proactive alerting.

Explore Elasticsearch cluster health and key statistics, including green, yellow, and red states. Learn to access the _cluster/health endpoint and monitor nodes and shards using Kibana for reliable, efficient operation.

Use the _cluster/health endpoint to monitor an Elasticsearch cluster via Kibana dev tools, curl, or the command line; view health status, node counts, and active primary shards.

Configure the Metricbeat Elasticsearch module via Kibana stack monitoring to monitor an Elasticsearch cluster, enable and secure the module, restart Metricbeat, and verify metrics in Kibana.

Learn to monitor an Elasticsearch cluster using the monitoring APIs, including cluster health, stats, and nodes stats, and interpret responses to detect ingest pipeline issues and resource usage.

Explore observability with Elastic Stack to understand system health through metrics, logs, and traces in real time, using Elasticsearch, Kibana, Beats, and Logstash.

Implement a basic observability setup for Elastic Stack by provisioning two virtual machines with Vagrant and configuring filebeat, metricbeat, and packetbeat to send logs and metrics to Elasticsearch.

Explore real-time infrastructure monitoring with Elastic observability in Kibana, analyzing metrics, logs, and host data from Metricbeat and Packetbeat to detect issues and troubleshoot efficiently.

Explore logging with Elastic observability by enriching filebeat events, simulating nginx logs, routing to Elasticsearch, and using Kibana to filter 500 errors for troubleshooting.

Install and configure the APM server on Linux Ubuntu, set up certificates and HTTPS, and integrate with Kibana observability via the Elastic APM integration so Kibana detects the APM server.

Test Elastic APM with a Python Flask app, simulate queries, delays, and failures, and monitor latency, 500 errors, and MySQL interactions in Kibana observability.

Deploy, configure, and manage a real-world Elastic Stack environment for data analysis and monitoring in a production-like setting, reinforcing architecture components and best practices for Elastic Stack professionals.

Design a production-ready Elastic Stack cluster using Beats, Logstash, Elasticsearch, and Kibana, enabling scalable master and data nodes across zones, buffering, and Slack alerts.

Learn how to initialize the first master node in an Elasticsearch cluster, configure the host name, install Elasticsearch, and verify cluster health to ensure a green, multi-node-ready setup.

Generate enrollment token on master node one, then join second and third nodes to the project one Elasticsearch cluster, ensuring a green cluster.

Add data-only nodes to the Elasticsearch cluster by configuring node roles as data on two new hosts, editing elasticsearch.yml, and joining with enrollment tokens, then start and verify the cluster.

Configure the master nodes in an Elasticsearch cluster to act exclusively as master nodes, adjusting node roles, updating discovery.seed_hosts, and validating with cluster health checks.

Install and configure Kibana, connect it to the project-one Elasticsearch cluster, enroll Kibana with Elasticsearch using a token, and verify access on port 5601.

Install and configure Logstash, set up conf.d pipelines, and enable beats input on port 5044 to stream data to a three-node Elasticsearch cluster using SSL with an API key.

Configure metricbeat to send metrics directly to Elasticsearch by editing metricbeat.yaml, setting Elasticsearch hosts, SSL authorities, and HTTPS credentials.

Configure metricbeat to send metrics to logstash by editing metricbeat.yml, disabling elasticsearch output and enabling logstash with logstash host 10.0.2.80, then restart metricbeat and verify VM1 metrics appear in Kibana.

Configure Kibana alerts and send real-time Slack notifications by creating a memory-threshold rule, enabling a Slack connector, and securing alerts with an encryption key.

Explore offers and flexible plans for Elastic Stack 8, including two-month, six-month, and lifetime access, plus a professional resume review service.