Bringing the Thunder
An electrifying continuous online learning journey
Brace yourself for a remarkable series of weekly online learning sessions featuring immersive video tutorials, hands-on exercises, illuminating podcasts, and a wealth of content meticulously curated to empower you with the skills and knowledge to become the ultimate DataMiner creator.
Upcoming episodes:
By actively participating, you'll have the opportunity to earn DevOps Points. For every tutorial completed, you can pocket 75 DevOps Points, and if you manage to conquer the challenge within the week, an extra 75 points will be added to your tally.
Smart Trap Processor
Nov. 22
Discover how to effectively use the Smart Trap Processor tool to capture, filter, transform, and display SNMP traps with precision. Learn to streamline the process with a user-friendly interface, ensuring you capture only the most relevant data for your operations.
Set up your development environment in GitHub
Nov. 29
Learn how to set up an organization in GitHub and SonarCloud so that you and your development team can collaboratively develop DataMiner artifacts while maintaining high-quality standards. This tutorial sets up the framework to achieve the same quality standards that developers at Skyline Communications adhere to. It will also add Starter Workflows provided by Skyline to improve efficiency. Additionally, you'll learn how to set up SonarCloud, a mandatory static analysis tool used in all Skyline-provided GitHub workflows.
From code to product in GitHub
Dec. 06
In this tutorial, you'll learn how to develop, (pre-)release, and optionally deploy any supported DataMiner artifact with a CI/CD pipeline specifically in GitHub. These processes follow the same quality standards that developers within Skyline Communications adhere to.
This CI/CD pipeline will ensure strict quality standards, provide you with an item registered in your private catalog, and give you the ability to deploy automaticall
Past episodes:
Kata #47: Monitor a network with ping commands
Kata #46: Improve anomaly detection with feedback
Kata #45: DataMiner Connectivity Framework (DCF)
Kata #44: Master Dashboard user permissions
Kata #43: Grouping alarms like a pro
Kata #42: Trend patterns in Dashboards and Low-Code Apps
Kata #41: Trend patterns in Cube
Kata #40: Create a visual workflow for the spectrum analyzer
Kata #39: Building an anomaly detection dashboard
Kata #38: Getting started with DataMiner EPM
Kata #37: Getting started with DataMiner Integration Studio
Kata #36: Manage and monitor your Service Level Agreements
Kata #35: Interact with your DMS using an ad hoc data source
Kata #34: Leveraging feeds in a web component
Kata #33: Master alarm templates
Kata #32: Using the spectrum analyzer
Kata #31: Master correlation rules
Kata #30: Create your own information template
Kata #29: DataMiner Hardening
Kata #28: Utilize automated relationship learning for seamless root cause analysis
Past episodes:
1. Retrieving the data
Explore essential techniques for acquiring data with DataMiner. Start with the basics in "Getting started with DataMiner Integration Studio (DIS)" and advance to creating connectors, using APIs, scripting, and interacting with data sources.
Kata #2: User-Defined APIs
Kata #10: Create a simple interactive script
Kata #18: Creating a scripted connector
Kata #35: Interact with your DMS using an ad hoc data source
Kata #37: Getting started with DataMiner Integration Studio
Kata #38: Getting started with DataMiner EPM
2. Improving data quality
Enhance your data quality by mastering validation and CI/CD workflows. Learn to ensure data integrity with episodes on DIS validation, contributing to the validator, and streamlining your connector development process.
Kata #1: DIS validator
Kata #22: How to make a connector CI/CD pipeline
Kata #23: Contributing to the DIS Validator
3. Transforming and storing the data
Transform and store data efficiently with DataMiner Object Models (DOM). Begin with foundational concepts in DOM and progress to making DOM instances state-aware, optimizing data manipulation and storage.
Kata #15: Getting started with DataMiner Object Models
Kata #24: Make a DOM module state-aware
4. Visualizing the data
Unlock powerful data visualization techniques. From building low-code apps and customizing interfaces to integrating dashboards and designing visual overviews, these episodes cover all aspects of presenting data effectively.
Kata #3: Build your first low-code app
Kata #4: Build your first GQI
Kata #5: Transform data with GQI
Kata #7: Pages, panels and headers in a low-code app
Kata #8: Actions and events in a low-code app
Kata #13: Controls and feeds in a Low-Code App
Kata #14: Transform your tables with templates
Kata #16: Introducing grid components
Kata #17: Node edge component
Kata #19: Transform Low-Code Apps into visual delights
Kata #20: Integrating Dashboards in DataMiner Cube
Kata #21: Visual Overview design basics
Kata #34: Leveraging feeds in a web component
Kata #39: Building an anomaly detection dashboard
Kata #40: Create a visual workflow for the spectrum analyzer
Kata #44: Master Dashboard user permissions
Kata #45: DataMiner Connectivity Framework (DCF)
5. Automatic data analysis and control
Automate data analysis and control processes. Learn to detect anomalies, analyse spectrums, create custom alarm- and information templates, manage alarms, monitor SLAs, and perform root cause analysis swiftly and efficiently.
Kata #12: Automatically detect anomalies with DataMiner
Kata #28: Utilize automated relationship learning for seamless root cause analysis
Kata #30: Create your own information template
Kata #31: Master correlation rules
Kata #32: Using the spectrum analyzer
Kata #33: Master alarm templates
Kata #36: Manage and monitor your Service Level Agreements
Kata #41: Trend patterns in Cube
Kata #42: Trend patterns in Dashboards and Low-Code Apps
Kata #43: Grouping alarms like a pro
Kata #46: Improve anomaly detection with feedback
6. Enhancing DataMiner
Boost your DataMiner System with advanced features. Connect to the cloud, secure your system, integrate equipment, set up backups, and enhance operations with custom ChatOps capabilities.
Kata #6: Custom ChatOps operator
Kata #9: How to make your DataMiner Agent cloud connected
Kata #11: Create a DMS on dataminer.services (DaaS)
Kata #25: Getting started with IDP and onboarding new equipment
Kata #26: Set up IDP to back up your device configuration
Kata #27: Custom ChatOps operator: Use buttons in adaptive cards
Kata #29: DataMiner Hardening
Kata #47: Monitor a network with ping commands
How does it work? 🧑💻
Bringing the Thunder is a completely free and fully online learning experience. This means you can dive into the action from wherever you are and whenever it suits your schedule.
Every single week we'll unveil fresh learning content–from step-by-step tutorials to illuminating podcasts. Some modules may even include tasks for you to complete and submit.
And of course you will get the opportunity to earn some sweet DevOps Points in the process.
Who is it for? 🔥
Any DevOps Professional–from enthusiastic Member to seasoned Catalyst. Whether you're looking to supercharge your learning journey, unleash your creativity with DataMiner, or get hands-on with its coolest DevOps features, this journey is tailored for you.
Our content spans various difficulty levels, offering a flexible learning experience. Some weeks, you'll find easier sessions, while others provide intermediate challenges. There's no commitment, however. If a piece of content doesn't catch your fancy, you can simply skip it! It's your learning journey, we're only offering the fascinating stops.