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Anmute technologies

05/25/2026

Honoring those who gave everything so we could have the freedom to build, create, and dream. 🇺🇸

Wishing you a meaningful Memorial Day.

05/10/2026

The first person who believed in you.
Happy Mother’s Day to her. 🌸

04/10/2026

You cannot fix what you cannot see.

What’s missing in your debugging setup right now?

Follow for more breakdowns like this.

04/07/2026

Do you want us to break down Argo CD vs Flux next?

Comment “GITOPS.

04/03/2026

If your system suddenly gets 10x traffic, here’s how real engineers design for it:

1️⃣ Use a load balancer.

Never rely on a single server.

A load balancer distributes traffic across multiple instances so no one server gets overwhelmed.

If one fails, others keep things running.

2️⃣ Enable auto-scaling.

Traffic is not always predictable.

Auto-scaling automatically adds more servers when traffic increases and reduces them when it drops.

So your system adjusts in real time.

3️⃣ Add caching at every layer.

Not every request needs to hit your server.

Use a CDN like CloudFront to cache static content at the edge images, CSS, JavaScript never reach your backend.

Use Redis to cache frequent database responses in memory.

Less load. Faster responses.

4️⃣ Use a queue to absorb overflow.

When traffic spikes, don’t let your backend take the full hit.

A message queue like Amazon SQS absorbs incoming requests and lets your backend process them at its own pace.

No crashes. No dropped requests.

5️⃣ Design for stateless services.

Each server should be able to handle any request.

No relying on local memory or session data.

That way traffic can be distributed easily across multiple instances.

6️⃣ Scale your database properly.

Your backend is only as strong as your database.

Use:

Read replicas to handle heavy read traffic.

Connection pooling to manage database connections efficiently.

So your database doesn’t become the bottleneck.

7️⃣ Monitor everything and alert early.

You can’t fix what you can’t see.

Track:

Traffic spikes.

Response times.

System health.

Set up alerts so your team knows before your users do.

Load balancing → Auto-scaling → Caching → Queue overflow → Stateless design → Database scaling → Monitor and alert.

That’s how systems handle growth without crashing.

If you want more real interview questions like this we’ve put together a simple Interview Prep Guide.

👉 Comment INTERVIEW and we’ll send it to you.

04/01/2026

This is why we teach.

Not just to help people learn tech but to help them rewrite their story.

If she can do it, you can too.

Comment START and I’ll send you the exact roadmap she used.

03/30/2026

If you’re handling API keys in production, here’s how real engineers manage secrets safely:

1️⃣ Never hardcode secrets.

This is the first rule.

API keys should never be inside your codebase.
If it’s in your code, it will eventually be exposed.

2️⃣ Store secrets outside your application.

Use a dedicated secrets manager like:

AWS Secrets Manager
Azure Key Vault
HashiCorp Vault
Environment variables are a last resort — never store them in a file that could be committed.

Your app should read secrets, not store them.

3️⃣ Control access strictly.

Not every service should access every secret.

Use role-based access (IAM) so only the right services can retrieve them.

Least privilege is key.

4️⃣ Inject secrets at runtime.

Secrets should be added when the app is running not baked into images or config files.

This reduces exposure and keeps things flexible.

5️⃣ Use OIDC for your CI/CD pipelines

Never store AWS access keys in your pipeline.

Instead use OpenID Connect (OIDC) —
GitHub Actions can authenticate directly to AWS
and get a short-lived token for each run.

No permanent credentials. Nothing to rotate. Nothing to leak.

6️⃣ Rotate secrets regularly.
Don’t use the same API key forever.

Rotate keys periodically so even if one is exposed, the risk is limited.

7️⃣ Audit secret access
Know who accessed what and when.

AWS CloudTrail and Vault audit logs tell you if a secret was accessed unexpectedly — before it becomes a breach.

8️⃣ Keep secrets out of logs and pipelines.

Never expose secrets in:
logs
CI/CD output
version control
Once it’s there, it’s already compromised.

No hardcoding → Secure storage → Access control → OIDC for pipelines → Runtime injection → Rotation → Audit → No exposure.

That’s how secrets are handled in production.

If you want more real interview questions like this we’ve put together a simple Interview Prep Guide.

👉 Comment INTERVIEW and we’ll send it to you.

03/27/2026

We go live on TikTok by 11AM CST Today!🥳

Get ready to have all your pressing questions answered by a tech expert with over a decade of experience.

See you in the room!

03/25/2026

Most people don’t get the chance to ask an expert their questions but you do.

In 48 hours, we’re going live with Tolu to answer everything you’ve been struggling to understand.

DevOps. Cloud. Getting started.

So get ready to jump in!

The beautiful thing is, you can start dropping your questions here as they would be part of the first set of questions to be taken.

What is that questions you’ve been meaning to ask a Tech Expert?

Let’s have it in the comments👇

03/23/2026

If you had 30 minutes with a tech expert… what would you ask?

Because on March 27, you actually do.

We’re going LIVE to answer your biggest questions about:
Cloud| DevOps | AI | Career transitions

We’re going to be providing real answers to help you move forward faster.

Tolu Lagundoye, Founder of Anmute Technologies will be breaking down:
✔ Where to start
✔ What actually matters
✔ How to land opportunities

Live on Tiktok.

⏰ 11 AM CST

Comment “I’M IN“ if you’re excited about this🥹🥳

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