Телеграм канал «DevOps»

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Since your device is already connected to the internet, you can actually get paid for the data you aren't using.

Honeygain is a trusted app that runs quietly in the background of your phone or PC. It just securely shares your unused bandwidth with researchers and pays you for it. Your connection stays 100% encrypted, and it never accesses your personal data, files, or browsing history.

🎁 Official Bonus:
If you use the invite link below, you get an instant $5 starting bonus to help you reach your first cash payout faster.

👇 How to set it up in 2 minutes:

1. Click the link and create your free account:
https://bit.ly/3wUxw09

2. Download the app (works on Android, Windows, Mac, or Linux).

3. Log in, let it run in the background, and collect your passive income.

🔗 Claim your free $5 Bonus here:
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🚀 DevOps Architect Trick: Observe Kubernetes Without Changing Application Code

Most teams begin with dashboards. An architect begins with a question:

“Which service caused the user request to become slow?”

Use this rare tool combination:

Kubernetes + OpenTelemetry eBPF Instrumentation + OTel Collector + Gateway API + Grafana/Jaeger

OpenTelemetry eBPF Instrumentation can automatically discover service-to-service relationships, create span and service-graph metrics, and connect traces with logs without requiring every application to be manually instrumented.

------------------------------------------
User
↓
Gateway API
↓
Frontend
↓
API service
↓
Database / External API

↓
OpenTelemetry eBPF
↓
OTel Collector
↓
Metrics + Logs + Traces
↓
Grafana / Jaeger
--------------------------------------

🧠 Architect Prompt
You are a platform architect.

System:
[Kubernetes architecture or diagram]

Business problem:
[Example: customers report slow checkout]

Tools:
Kubernetes, Gateway API, OpenTelemetry, Grafana, Jaeger

Analyse:
1. Which request path should be traced?
2. Which services need metrics, logs, and traces?
3. Where should the OTel Collector run?
4. What failure or latency signals should we monitor?
5. How can we collect useful telemetry without changing application code?
6. What security permissions and data-privacy risks exist?
7. Design a low-cost proof of concept.
8. Define success measurements and rollback steps.

Do not invent unsupported configuration.
Separate confirmed facts from assumptions.
--------------------------------------
🔍 What to investigate

Trace ID connecting a user request across multiple services.

Service causing the highest latency.

Difference between application failure and network failure.

Whether telemetry is lost during collector failure.

Whether sensitive data appears in logs or traces.

Whether sampling is needed to control cost.

⚠️ Important security note

eBPF-based tools may require special privileges, Kubernetes permissions, and access to process or network metadata. Review the security model before using them in production.

🎯 Mini challenge

Create a local Kubernetes demo with:

Gateway API → frontend → API → database
Then answer:

“If checkout takes 3 seconds, can I identify whether the delay comes from the gateway, API, database, or network using one correlated trace?”

📚 Research

OpenTelemetry eBPF Instrumentation

OpenTelemetry Operator for Kubernetes

Kubernetes Gateway API

OpenTelemetry Collector on Kubernetes

💡 Architect mindset when prompting:
Do not ask, “How do I install another monitoring tool?” Ask, “What decision will this telemetry help me make during a failure?”


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𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀 𝗮𝗻𝗱 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗿𝗼𝗺 𝗧𝗼𝗽 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗕𝗮𝘀𝗲𝗱, 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗿𝘁 𝘂𝗽  𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗚𝗼𝗼𝗴𝗹𝗲,  𝗔𝗽𝗽𝗹𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗜𝗕𝗠, 𝗧𝗖𝗦, 𝗖𝗼𝗴𝗻𝗶𝘇𝗮𝗻𝘁, 𝗪𝗶𝗽𝗿𝗼, 𝗖𝗧𝗦, 𝗚𝗼𝗹𝗱𝗺𝗮𝗻 𝗦𝗮𝗰𝗵𝘀, 𝗢𝗹𝗮, 𝗨𝗯𝗲𝗿, 𝗭𝗼𝗺𝗮𝘁𝗼, 𝗦𝘄𝗶𝗴𝗴𝘆, 𝘂𝗽𝗚𝗿𝗮𝗱, 𝗖𝘂𝗿𝗲 𝗙𝗶𝘁, 𝗛𝗮𝗰𝗸𝗲𝗿𝗿𝗮𝗻𝗸, 𝗚𝗲𝗲𝗸𝘀𝗳𝗼𝗿𝗴𝗲𝗲𝗸𝘀 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲, 𝗰𝗮𝗻 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲 𝗯𝗲𝗹𝗼𝘄 network.

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