3-6358 – OPSB OPTIC Data Lake (ODL) Data Collection

Kód kurzu: OPSB36358

This three-day, advanced course explains the fundamentals of OPTIC DL, emphasizing data collection from custom and out-of-the-box sources.
The training comprises theory and practical sessions where you learn to collect OPTIC DL data from – OBM Events, System Metrics from Agent Policies, Agent Metric Collector and SiteScope, BPM, Hyperscale Observability, and Custom Data Sources.

2 412 EUR

2 894 EUR s DPH

Najbližší termín od 22.01.2025

Výber termínov

Odborní
certifikovaní lektori

Mezinárodne
uznávané certifikácie

Široká ponuka technických
a soft skills kurzov

Skvelý zákaznicky
servis

Prispôsobenie kurzov
presne na mieru

Termíny kurzov

Počiatočný dátum: 22.01.2025

Forma: Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný dátum: 04.06.2025

Forma: Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný dátum: 08.10.2025

Forma: Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný dátum: Na vyžiadanie

Forma: Prezenčná/Virtuálna

Dĺžka kurzu: 3 dni

Jazyk: en/cz

Cena bez DPH: 2 412 EUR

Registrovať

Počiatočný
dátum
Miesto
konania
Forma Dĺžka
kurzu
Jazyk Cena bez DPH
22.01.2025 Virtuálna 3 dni en 2 412 EUR Registrovať
04.06.2025 Virtuálna 3 dni en 2 412 EUR Registrovať
08.10.2025 Virtuálna 3 dni en 2 412 EUR Registrovať
Na vyžiadanie Prezenčná/Virtuálna 3 dni en/cz 2 412 EUR Registrovať
G Garantovaný kurz

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Popis kurzu

On completion of this course, participants should be able to:

• Explain OPTIC and OPTIC DL.
• Describe the OPTIC DL data flow.
• Integrate Classic OBM with the OPTIC DL cluster.
• Perform a CI push to OPTIC DL.
• Collect Events from OBM.
• Collect custom data with CMI tools.
• Use the custom data in FLEX reports.
• Collect Metrics from Agent Policies.
• Collect metrics with Agent Metric Collector (AMC).
• Collect SiteScope agentless metrics.
• Collect Business Process Manager (BPM) data.
• Configure Hyperscale Collector with CLI.
• Configure Hyperscale Collector with UI.
• Use Hyperscale Observability data in OBM.

Cieľová skupina

OPSB SMEs: APM, OBM, and SiteScope operators, IT professionals, and Monitoring SMEs

Štruktúra kurzu

Module 1: Course Overview

• Review the overall course objectives
• Explain the course flow

Module 2: Connecting and Verifying the Environment

• Provide an overview of the lab environment
• Connect to the lab environment
• Perform the lab environment operations:
• Using mMremoteNG
• In-lab file transfers
• Verify the lab machines
• Verify product availability – per-product

Module 3a: OPTIC DL Overview

• Explain what OPTIC is and what it does
• Comprehend the high-level OPTIC architecture
• Describe the high-level OPTIC infrastructure
• Explain what OPTIC DL is and what it does
• Demonstrate how the data flow works
• Explain the use cases

Module 3b: Integrating OBM Classic with OPTIC DL

• Explain the function of OBM-OPTIC integration
• Comprehend the integration process
• Employ integration techniques

Module 4a: OPTIC DL Data Collection from OPSB Components

• Describe how data collection works
• Explain policy and Agent Metric Collector (AMC)
• Explain how to collect data from Business Process Manager (BPM), Real User Monitor
(RUM), and SiteScope
• Describe system metrics task flows
• Explain Reporting

Module 4b: OPTIC DL Data Collection from OPSB Components HyperScale Availability

• Explain Hyperscale Observability (HsO)
• Explain the HsO configuration tasks
• Discuss HsO targets:
• AWS
• Azure
• GCP
• Kubernetes
• Vmware
• Discuss HsO controls:
• OBM Policies
• OPTIC One UI
• Monitoring Service CLI

Module 5a: OPTIC DL Custom Data Collection

• Utilize custom data sources
• Explain the prerequisites
• Explain Open Data Ingestion
• Implement the process with CMI tools

Module 5b: Dashboards Overview

• Review the OOTB dashboards and reports to see the data collected in the previous labs

Module 5c: Troubleshooting for Support

• Explain the k9s and the Grafana tool
• Troubleshoot pods and logs
• Explain the custom tools

Predpokladané znalosti

To be successful in this course, you should have basic IT knowledge, and Linux experience is
preferred.

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