Tag: technical blog

Synthetic Data: The Backbone of Scalable and Ethical AI Development

Artificial Intelligence is the engine driving transformation across industries such as healthcare, finance, manufacturing, retail, and public services. As AI systems become more integral to decision-making and operations, the demand for high-quality, diverse, and ethically sourced data has reached unprecedented levels.  

Yet, traditional data collection methods are riddled with challenges: privacy concerns, biased datasets, legal compliance, and scalability hurdles. This is where synthetic data comes into the picture, a transformative innovation that is rapidly becoming the backbone of scalable and ethical AI development. 

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Logs to Alerts with CloudWatch Filters

Why Alarms Matter in Cloud Infrastructure

Proactive monitoring for reliable cloud systems

The Critical Role of Monitoring

In any modern cloud-based architecture, monitoring and alerting play a critical role in maintaining reliability, performance, and security.

Beyond Just Logs

It’s not enough to just have logs-you need a way to act on those logs when something goes wrong. That’s where CloudWatch alarms come.

The Cost of Being Reactive

Imagine a situation where your application starts throwing 5xx errors, and you don’t know until a customer reports it. By the time you act, you’ve already lost trust.

Alarms prevent this reactive chaos by enabling proactive monitoring—you get notified the moment an issue surfaces, allowing you to respond before users even notice.

The Risks of Operating Without Alarms

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Missed Error Spikes

You might miss spikes in 4xx/5xx errors that indicate growing problems.

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Reactive Mode

 You’re always proactive instead of reactive.

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Lack of Visibility

Your team lacks visibility into critical system behavior.

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Diagnosis Challenges

Diagnosing issues becomes more difficult without early signals.

The CloudWatch Alarm Solution

Due to all the reasons above, that’s why I decided to implement AWS CloudWatch Alarms using Metric Filters—a cost-effective, powerful way to monitor logs and trigger alerts based on specific patterns.

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The Software Environment Types: Death by a Thousand Deployments

“Your code doesn’t just ship — it survives a gauntlet of digital Darwinism where only the fittest features reach users.”

How One PostgreSQL Version Mismatch Cost a Fortune 500 Company $4.7 Million
TL; DR — When Simple Becomes Catastrophic

Last month, two digits in a database version number brought at a Fortune 500 company a production outage that cost $4.7 million in lost revenue. The root cause? Their staging environment was running on PostgreSQL 13 while production was on PostgreSQL 15. A simple version mismatch became a career-ending incident.
This isn’t just another “environments matter” story. This is about the invisible architecture of trust that separates unicorn startups from digital graveyards.

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Implementing Supervisor Process Monitoring with Open Telemetry

In this blog, I’ll Walk you through how I set up a custom monitoring system for Supervisor-managed processes like Nginx and Apache2, this setup will allow you to track the health and performance of processes running under Supervisor in real time.  Continue reading “Implementing Supervisor Process Monitoring with Open Telemetry”

Redis Observability with Open Telemetry

Redis is a cornerstone of many modern applications, valued for its high speed and flexibility. However, Redis systems are not “set-and-forget.” Maintaining operational excellence requires careful monitoring of critical metrics to detect early signs of performance degradation, resource exhaustion, or failures. 

In this blog, we learn how to monitor Redis directly using Open Telemetry Collector’s Redis receiver, without relying on a separate Redis Exporter. 

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