Prakhar Mathur’s Post

How do we efficiently manage and route traffic to our application’s backend services? This leaves us wrestling: API Gateway vs Application Load Balancer (ALB)? The decision is reached by balancing unique considerations for our application. The choice ultimately depends on our specific needs — whether it’s centralized control & security vs advanced load balancing & high availability. By understanding the strengths of each option, we can make an informed decision that best suits our application’s architecture and growth strategy. Walking carefully through unique use cases of our particular apps continually helps us to optimize our app infrastructures. #AWS #CloudComputing #DevOps #TechCareers #MicroServices

Building Resilient, Scalable Applications: Exploring Cloudflare’s New Workflows for Multi-Step Processes https://lnkd.in/gPBgRiGS

Building robust software demands a multi-faceted approach: 1. Embrace microservices for scalability. 2. Implement redundancy across multiple zones for enhanced availability. 3. Employ chaos engineering and automated recovery mechanisms for fault tolerance. 4. Maintain continuous monitoring and improvement practices to refine systems over time. 🛠️💻 #SoftwareDevelopment #RobustSoftware #BestPractices

A few days ago I posted about the main drivers to ship fast and how Hyperline consistently releases features and upgrades more regularly than most companies. As a reminder, the drivers are 🔵 Ship fast, iterate immediately 🔵 Tooling, tooling, tooling 🔵 Cut the noise Today I want to focus on the second one, tooling. Tooling is an investment everyone underestimates because it’s never urgent, you can always do without, yes debugging is a little bit long but that’s ok we’ll fix it at Series A. You need to take into account opportunity cost. Any time your devs spend - Arguing about code formatting - Trying to debug an issue without the proper observability - Battling with their local environment or the prod infrastructure - Shipping code that doesn’t work to prod because you don’t have enough tests - Trying to integrate with bad APIs because you got a deal 5% cheaper And other nonsense you can fix within a day is time you don’t spend improving your engineering team tools, they’re just gonna get slower and slower. We’ve focused on this really early thanks to Clément, with tools like Qovery, Datadog, but also product-focused tools like Stacksync (YC W24) who’ve saved us a lot of time.

Building Resilient, Scalable Applications: Exploring Cloudflare’s New Workflows for Multi-Step Processes https://lnkd.in/gPBgRiGS

Beyond the Hype: Is observability just the new name for system monitoring? #Observability #SystemMonitoring #DevOps #SoftwareEngineering #ITOperations #MonitoringTools #CloudNative #SystemPerformance #ITInfrastructure #TechnicalOperations https://lnkd.in/gvfDxBpv

The latest update for #Speedscale includes "Optimizing #DevOps with #Kubernetes Ephemeral Environments: Efficient #Testing and Deployment" and "Join Ken on SMC Journal – Scaling Kubernetes, #Microservices, and Ephemeral Environments". #API https://lnkd.in/dPcsHAYP

Dive into my latest blog exploring faster and reliable inter-service communication.

The latest update for #Speedscale includes "Streamlining Your #Kubernetes #Development Environment: A Comprehensive Guide" and "Top Traffic Replay Alternatives to Enhance Your #Testing and Analysis". #DevOps #API https://lnkd.in/dPcsHAYP

Vertical vs Horizontal Scaling: How Node.js, Go, and Rust Handle Scaling and What Happens During Growth