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Introducing ExamLyftAI — A Modern Assessment Platform for Indian Coaching Institutes

 Wanted to take a moment to introduce a new product I've been building over the last several months — ExamLyftAI  ( https://examlyftai.com ). ExamLyftAI is an assessment platform designed for Indian students preparing for competitive examinations and academic studies — JEE, NEET, GATE, CAT, UPSC, CBSE/ISC boards, state boards, and other competitive exams. It is offered as a B2B SaaS product to coaching institutes, schools, and tutoring centres that prepare these students. The problem it solves Indian coaching institutes today face a growing operational gap. Teachers are excellent. Students are motivated. But the workflow connecting the two is largely manual: - Question papers are written by hand and photocopied overnight - Tests are graded one paper at a time, two days after they're taken - Performance is tracked in spreadsheets that rarely get opened between months - Solutions are written on the board because there is no way to render the teacher's method digitally - Weak ...
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Prometheus Devops Interview Questions Part-3

  Q9: Explain PromQL and provide examples of common queries. PromQL (Prometheus Query Language) is Prometheus's powerful functional language for querying time series data. Think of it as SQL for metrics - it helps you extract meaningful insights from your monitoring data. Core Data Types: Instant Vector : Current value of metrics at a specific time Range Vector : Values over a time period Scalar : Simple numeric values Essential Query Examples: Basic Metric Selection: promql # Get all HTTP requests http_requests_total # Filter by specific conditions http_requests_total { method = "GET" , status = "200" } # Use regex for flexible matching http_requests_total { status =~ "2.." } # All 2xx status codes Rate Calculations: promql # Requests per second over 5 minutes rate ( http_requests_total [ 5m ] ) # Total increase over 1 hour increase ( http_requests_total [ 1h ] ) Aggregations: promql # Sum all requests across instances sum...
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Prometheus Devops Interview Questions Part-2

Q6: Explain Prometheus data model and metric types. Answer: Understanding Prometheus's data model is fundamental to effectively using the monitoring system. The data model defines how metrics are structured, stored, and identified, forming the foundation for all monitoring and alerting capabilities. Prometheus Data Model - The Foundation Core Concept: Prometheus stores all data as time series - sequences of timestamped values belonging to the same metric and the same set of labeled dimensions. Time Series Identity: Each time series is uniquely identified by: Metric Name: What you're measuring (e.g., http_requests_total , cpu_usage_percent ) Labels: Key-value pairs that add dimensions (e.g., method="GET" , status="200" ) Timestamp: When the measurement was taken (Unix timestamp) Value: The actual measurement (64-bit floating-point number) Data Storage Format Standard Format: metric_name{label1="value1", label2="value2"} value ti...
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