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Struggling with Scaling SaaS on Kubernetes – Need Advice!

Hey everyone, I’ve been working on a SaaS project and ran into an issue while scaling our microservices on Kubernetes (EKS on AWS). We’re using Helm for deployments and Istio for service mesh, but we’re noticing unexpected latency spikes and CPU throttling, even when the system isn’t under heavy load.

A few things we’ve checked so far:

1. HPA (Horizontal Pod Autoscaler) is in place, but pods don’t always scale up fast enough.
2. Resource limits & requests are set, but tweaking them hasn’t fully solved the problem.
3. Istio sidecars seem to add some overhead, but removing them isn't an option due to traffic management needs.
4. Using Prometheus + Grafana for monitoring, but the Struggling with Scaling SaaS on Kubernetes – Need Advice!

Has anyone faced similar issues while scaling SaaS apps on Kubernetes? Any best practices for optimizing autoscaling & reducing latency in such setups? Would love to hear your insights!

Hey everyone!

I’ve been exploring ChatGPT as a large language model and its potential applications, and I’m really curious about the tools and technologies involved in its development. Specifically, I’d love to learn more about: The frameworks and libraries used to train and deploy models like ChatGPT. Techniques for optimizing large language models for performance and scalability. Tools for integrating such models into existing systems via APIs. If you’ve worked on similar projects or have insights into the development process, I’d appreciate your advice! What best practices or resources would you recommend for understanding and working with large language models like ChatGPT?

Thanks in advance for your input!

Hi!

I just wrapped up a product scoping session for a new project, and wow—it was a game-changer.

Here’s what stood out:

Uncovered Hidden Needs: Stakeholders brought up stuff they hadn’t mentioned before. Aligned Expectations: Everyone left on the same page about goals, timelines, and priorities. Saved Time & Headaches: Clear scope = fewer surprises mid-project. Quick tip: Make it interactive (whiteboards, sticky notes, or Miro) and involve devs early—they’ll spot red flags fast.

How do you run your scoping sessions? Any tricks to keep them productive and fun? Let’s swap ideas. Thanks!

Building a Healthcare Software Application Hi everyone,

I work at a software development company, and we’re currently working on a healthcare software project. The goal is to improve patient engagement and streamline workflows for healthcare providers.

The project includes:

Integration with EHR/EMR systems. Ensuring compliance with regulations like HIPAA and GDPR. Implementing telemedicine features and remote patient monitoring. Utilizing data analytics to support better decision-making. If you’ve worked on similar projects, what were some of the key challenges and solutions? Are there any tools, libraries, or frameworks that you found particularly effective?

Looking forward to learning from your experiences! https://www.mayuraconsultancy.com/industries/healthcare-software-development-services