Openshift: Lab 3 – Install an application from a Linux container image repository using the OpenShift web console
What the lab teaches The lab teaches how to use the OpenShift web console to deploy an application directly from a public container image repository. It uses…
Openshift: Top OC Commands with Examples
0. First: audit your local oc Run this first on your machine: For any command: Use this style for labs: Most useful global patterns: Pattern Why use…
Openshift: Lab 2 – Install an application from source code in a GitHub repository using the OpenShift web console
What this lab teaches The lab teaches how to use the OpenShift web console to deploy an application directly from source code stored in GitHub. The example…
Openshift Labs & Assignment
Openshift: Lab 1 – Use the terminal window within the Red Hat OpenShift web console Openshift: Lab 2 – Install an application from source code in a…
Openshift Local: crc command lines guide with example
Most important daily commands Flow Commands First setup crc version → crc setup → crc start -p ~/Downloads/pull-secret.txt Start work crc start → crc status → crc…
Datadog Assignment & Project Master Plan
Target Audience This lab is suitable for: DevOps engineers, SREs, cloud engineers, platform engineers, application engineers, monitoring engineers, and students learning Datadog from practical implementation. Final Outcome…
Datadog Cloud SIEM: Complete End-to-End Master Guide
Current as of June 2026. Datadog Cloud SIEM is Datadog’s security information and event management product for collecting security telemetry, analyzing logs and events with detection rules,…
Datadog Agent Commands with Examples
Below is a Datadog Agent command cheat sheet in table format. I’m focusing only on Agent CLI / Agent service commands, with practical examples and explanations. The…
Datadog Troubleshooting Master Guide
It covers: Datadog Agent, Kubernetes Agent, Cluster Agent, integrations, logs, APM/traces, custom metrics, DogStatsD, OpenTelemetry, API keys, Terraform, monitors, SLOs, RUM, Synthetics, cloud integrations, cost, permissions, and…
Datadog FAQ / Interview Questions and Answers — 50 Questions
Below is a Datadog theoretical / approach / capability FAQ set — not MCQ style. These are the kinds of questions that usually come in interviews, internal…
Datadog Interview Questions and Answer
1. What is Datadog primarily used for? A. Source code version controlB. Infrastructure, application, log, and security observabilityC. Database schema migration onlyD. Static website hosting Correct Answer:…
Datadog Agent CLI — datadog-agent and Windows agent.exe with examples
This guide covers the Datadog Agent command-line interface for: The Datadog Agent CLI is subcommand-based. Datadog’s current Agent command documentation says the general syntax is: and recommends…
Datadog Tutorial: Create Monitors / Alerts using Datadog API — Step by Step
This guide uses the current Datadog Monitor API v1, which is still the main API for creating metric, log, APM, and many other monitor types. Datadog’s API…
Datadog Log: Lab and Assignment
Lab Manual: Datadog Logs Search, Filter, Sorting, Display, and Analysis Hands-on Datadog Logs Explorer Lab using Ubuntu Linux Logs and Apache Logs Lab Objective By the end…
What is Datadog: Observability, Monitoring, SIEM, AIOps, Security, and DevOps Platform
Datadog is a SaaS-based observability, monitoring, security, and service-management platform used by DevOps, SRE, platform, application, security, and business teams to understand the health, performance, reliability, cost,…
Moving from compliance pentesting to risk-based pentesting
In IBM’s 2024 Cost of a Data Breach Report, the global average cost of a breach reached USD 4.88 million, and the United States recorded the highest…
5 Best AI Lecture Note Takers for Students and Online Learners in 2026
Anyone who has tried to follow a fast-paced DevOps lecture, a dense cloud architecture webinar, or a live coding walkthrough knows the problem: you can either pay…
Why AI-Powered Design Is Changing the Way Businesses Create Marketing Materials
Creating eye-catching marketing materials has always been a challenge. Whether you’re a small business owner, marketer, educator, or entrepreneur, designing professional visuals often requires a combination of…
Top 10 AI Audit Sampling Optimization Tools: Features, Pros, Cons & Comparison
Introduction AI Audit Sampling Optimization Tools are platforms that use artificial intelligence, statistical modeling, and data analytics to improve how audit samples are selected, tested, and validated….
Top 10 AI GRC Evidence Collection Tools: Features, Pros, Cons & Comparison
Introduction AI GRC Evidence Collection Tools are platforms that help organizations automatically gather, organize, and validate compliance evidence across systems, applications, and workflows using AI-driven automation. In…
Top 10 AI Third-Party Risk Analytics Tools: Features, Pros, Cons & Comparison
Introduction AI Third-Party Risk Analytics tools are platforms that help organizations assess, monitor, and manage risks originating from external vendors, suppliers, partners, and service providers. These systems…
Top 10 AI Insider Trading Risk Detection Tools: Features, Pros, Cons & Comparison
Introduction AI Insider Trading Risk Detection tools use machine learning, natural language processing (NLP), behavioral analytics, and network graph modeling to identify suspicious trading behavior that may…
Top 10 AI AML Case Triage Assistants: Features, Pros, Cons & Comparison
Introduction AI AML (Anti-Money Laundering) Case Triage Assistants are intelligent systems designed to help financial institutions automatically prioritize, classify, investigate, and escalate suspicious financial activities. These tools…
Top 10 AI KYC Identity Verification with ML Tools: Features, Pros, Cons & Comparison
Introduction AI KYC (Know Your Customer) Identity Verification with Machine Learning refers to intelligent systems that verify customer identities using AI-powered document analysis, facial recognition, liveness detection,…
Top 10 AI Compliance Workflow Automation Tools: Features, Pros, Cons & Comparison
Introduction AI Compliance Workflow Automation tools are intelligent systems that help organizations automate end-to-end compliance processes such as regulatory tracking, policy enforcement, audit preparation, risk assessment, control…
Top 10 AI Policy Drafting Assistants: Features, Pros, Cons & Comparison
Introduction AI Policy Drafting Assistants are intelligent legal and compliance tools that help organizations create, update, and maintain internal policies using artificial intelligence. These systems generate structured…
Top 10 AI Regulatory Change Monitoring Tools with NLP: Features, Pros, Cons & Comparison
Introduction AI Regulatory Change Monitoring with NLP refers to intelligent systems that continuously scan laws, regulatory updates, government publications, compliance bulletins, and legal databases, then use Natural…
Top 10 AI Litigation Outcome Prediction Tools: Features, Pros, Cons & Comparison
Introduction AI Litigation Outcome Prediction tools are legal intelligence systems that estimate the likely outcome of legal disputes using machine learning, historical case data, judge behavior patterns,…
Top 10 AI Deposition Transcript Summarization Tools: Features, Pros, Cons & Comparison
Introduction AI Deposition Transcript Summarization tools are legal AI systems designed to convert long deposition transcripts into structured, concise, and actionable summaries. These platforms help attorneys quickly…
Top 10 AI eDiscovery Document Review Tools: Features, Pros, Cons & Comparison
Introduction AI eDiscovery Document Review Tools are intelligent legal platforms that help law firms, corporate legal teams, and investigators find, analyze, classify, and review massive volumes of…