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Pragmatic Software Engineering Stories

🐌

A curious case of slow APIs

🐌

A curious case of slow APIs

🎰

Unblocking Team members

🎰

Unblocking Team members

🏒

Not all debugging stories have a happy ending

🏒

Not all debugging stories have a happy ending

💰

Taming GCP networking cloud costs

💰

Taming GCP networking cloud costs

🔍

Building Pull Request-based ephemeral Preview environments on Kubernetes

🔍

Building Pull Request-based ephemeral Preview environments on Kubernetes

💽

Database Reliability - Zero Downtime Schema Migrations with MySQL

💽

Database Reliability - Zero Downtime Schema Migrations with MySQL

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Database Reliability - Migrating Terabyte from self-hosted MySQL to GCP CloudSQL

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Database Reliability - Migrating Terabyte from self-hosted MySQL to GCP CloudSQL

🧹

A case of Terabyte scale backup and recovery solution

🧹

A case of Terabyte scale backup and recovery solution

🐢

My app is slow. Can you fix it?

🐢

My app is slow. Can you fix it?

🪀

A curious story of debugging Machine Learning model performance

🪀

A curious story of debugging Machine Learning model performance

⚡

Migrating Terabytes of metrics data with zero downtime

⚡

Migrating Terabytes of metrics data with zero downtime

📌

Curious case of debugging failing webhook API requests

📌

Curious case of debugging failing webhook API requests

👻

A story about a nightmare scenario for every SRE

👻

A story about a nightmare scenario for every SRE

📦

The Mystery of Failing Database Writes

📦

The Mystery of Failing Database Writes

📊

Data engineering mystery - rerouting large data in Kafka

📊

Data engineering mystery - rerouting large data in Kafka

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Subscribe for more such content

Stay updated with the latest insights and best practices in software engineering and site reliability engineering by subscribing to our content.

Subscribe for more such content

Stay updated with the latest insights and best practices in software engineering and site reliability engineering by subscribing to our content.

Subscribe for more such content

Stay updated with the latest insights and best practices in software engineering and site reliability engineering by subscribing to our content.

While you're at it checkout our blog

November 8, 2024 | 7 min read

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Rahul H Bhatia

SRE @One2N

October 8, 2024 | 9 min read

Exploring Retrieval-Augmented Generation (RAG): Enhancing LLMs with External Knowledge

Harsh Mishra

SRE-Intern

September 19, 2024 | 10 min read

Storing Sparse Data Efficiently: A Deep Dive into ClickHouse and Schema Design

Amit Sadafule

Lead Software Engineer

August 30, 2024 | 6 min read

Setting Up CloudWatch Alerts for EKS Clusters: Insights and Solutions

Mihir Bhagwat

SRE @One2N

August 19, 2024 | 5 min read

Eliminating bot-tlenecks - spin machines from containers

Ajinkya Wadekar

SRE @One2N

August 5, 2024 | 3 min read

Maintaining Multiple GitHub Accounts on a Single Machine

Saurabh Hirani

Principal SRE @One2N

Blog

While you're at it checkout our blog

November 8, 2024 | 7 min read

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn how each tool handles dynamic workloads, node provisioning, and cost optimization to choose the best solution for your cloud-native environment.

Rahul H Bhatia

SRE @One2N

October 8, 2024 | 9 min read

Exploring Retrieval-Augmented Generation (RAG): Enhancing LLMs with External Knowledge

Discover Retrieval-Augmented Generation (RAG), a technique that enhances Large Language Models (LLMs) by integrating external knowledge bases to provide more accurate, up-to-date, and contextually relevant responses. RAG combines information retrieval with generative AI to address issues like hallucinations and outdated training data, ensuring LLMs stay relevant and current. Learn how RAG works and its benefits

Harsh Mishra

SRE-Intern

September 19, 2024 | 10 min read

Storing Sparse Data Efficiently: A Deep Dive into ClickHouse and Schema Design

Learn how to efficiently store and query sparse data using ClickHouse. Discover the differences between OLAP and OLTP, optimal schema designs, and best practices for avoiding nullable columns. Explore real-world examples and performance metrics to optimize your data management and analytics workflows.

Amit Sadafule

Lead Software Engineer

Blog

While you're at it checkout our blog

November 8, 2024 | 7 min read

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn how each tool handles dynamic workloads, node provisioning, and cost optimization to choose the best solution for your cloud-native environment.

Rahul H Bhatia

SRE @One2N

October 8, 2024 | 9 min read

Exploring Retrieval-Augmented Generation (RAG): Enhancing LLMs with External Knowledge

Discover Retrieval-Augmented Generation (RAG), a technique that enhances Large Language Models (LLMs) by integrating external knowledge bases to provide more accurate, up-to-date, and contextually relevant responses. RAG combines information retrieval with generative AI to address issues like hallucinations and outdated training data, ensuring LLMs stay relevant and current. Learn how RAG works and its benefits

Harsh Mishra

SRE-Intern

September 19, 2024 | 10 min read

Storing Sparse Data Efficiently: A Deep Dive into ClickHouse and Schema Design

Learn how to efficiently store and query sparse data using ClickHouse. Discover the differences between OLAP and OLTP, optimal schema designs, and best practices for avoiding nullable columns. Explore real-world examples and performance metrics to optimize your data management and analytics workflows.

Amit Sadafule

Lead Software Engineer

Blog

While you're at it checkout our blog

November 8, 2024 | 7 min read

Karpenter vs Cluster Autoscaler: A Comprehensive Guide to Kubernetes Node Scaling

Discover the key differences between Karpenter and Cluster Autoscaler for Kubernetes node scaling. Learn how each tool handles dynamic workloads, node provisioning, and cost optimization to choose the best solution for your cloud-native environment.

Rahul H Bhatia

SRE @One2N

October 8, 2024 | 9 min read

Exploring Retrieval-Augmented Generation (RAG): Enhancing LLMs with External Knowledge

Discover Retrieval-Augmented Generation (RAG), a technique that enhances Large Language Models (LLMs) by integrating external knowledge bases to provide more accurate, up-to-date, and contextually relevant responses. RAG combines information retrieval with generative AI to address issues like hallucinations and outdated training data, ensuring LLMs stay relevant and current. Learn how RAG works and its benefits

Harsh Mishra

SRE-Intern

September 19, 2024 | 10 min read

Storing Sparse Data Efficiently: A Deep Dive into ClickHouse and Schema Design

Learn how to efficiently store and query sparse data using ClickHouse. Discover the differences between OLAP and OLTP, optimal schema designs, and best practices for avoiding nullable columns. Explore real-world examples and performance metrics to optimize your data management and analytics workflows.

Amit Sadafule

Lead Software Engineer

Blog