FAANG-Standard Interview Preparation Guide for Junior SRE
This guide is based on general FAANG interview practices and may not reflect specific company procedures.
FAANG companies typically conduct 6-8 interview rounds for Junior SRE positions, starting with recruiter screening and progressing through technical fundamentals, hands-on automation assessments, system design thinking, incident management scenarios, and behavioral evaluations. The process is designed to assess not just technical depth but also problem-solving approach, collaboration skills, and ability to learn and grow in a fast-paced infrastructure environment. Expect a mix of theoretical questions, practical problem-solving, and scenario-based incident response assessments.
Interview Rounds
Recruiter Screening
What to Expect
Initial conversation with a recruiter to assess your background, motivation for SRE, and cultural fit. The recruiter will verify your experience with Linux systems, container orchestration, monitoring tools, and incident response. Expect questions about your career goals, why you're interested in SRE at this company, and what you know about their infrastructure. This round is designed to ensure you meet the baseline requirements and to give you information about the role and company.
Tips & Advice
Be specific about your hands-on experience. Instead of saying 'I know Linux,' mention specific tasks like 'I configured firewall rules with iptables and managed user permissions using sudo and ACLs.' Prepare 2-3 stories about times you debugged a system problem, automated a repetitive task, or helped resolve an outage. Show genuine curiosity about how the company's systems are built and maintained. Ask thoughtful questions about monitoring practices, on-call rotations, and the scale of their infrastructure. Avoid generic answers; tailor your responses to SRE-specific challenges.
Focus Topics
Questions About the Company's SRE Practice
Prepare thoughtful questions about the company's monitoring strategy, incident response process, on-call structure, SLOs, and how the SRE team collaborates with development teams.
Practice Interview
Study Questions
Motivation for SRE Role
Clearly explain why you're drawn to SRE specifically. Discuss what excites you about building reliable systems, automating operations, or responding to high-stakes incidents. Connect this to the company's mission if possible.
Practice Interview
Study Questions
Your SRE Background and Experience
Articulate your hands-on experience with systems administration, monitoring tools, automation scripts, and any incident response involvement. Be specific about technologies (e.g., Prometheus, Grafana, Kubernetes, Docker, Terraform) and concrete examples of what you've built or fixed.
Practice Interview
Study Questions
Incident Response or Debugging Story
Prepare 1-2 concrete stories about a time you debugged a system problem, diagnosed a root cause, or helped respond to an incident. Include what went wrong, how you approached it, what tools you used, and what you learned.
Practice Interview
Study Questions
Technical Phone Screen - Linux & Systems Fundamentals
What to Expect
A 45-minute technical conversation testing your foundational knowledge of Linux systems, networking, and system administration concepts. You'll be asked questions about processes, file systems, networking protocols, and common troubleshooting scenarios. Expect a mix of 'what is' questions (e.g., 'What is a file descriptor?') and practical scenario questions (e.g., 'How would you find which process is consuming the most memory?'). You may be asked to explain command outputs or walk through how a system behaves in certain conditions. This round is not coding-heavy but requires comfort with the Linux command line.
Tips & Advice
Review the Linux manual pages for common commands like ps, top, netstat, lsof, df, du, and grep. Understand what files in /proc and /sys tell you about a running system. Know how to read process states, understand file descriptors, and explain network connections. For each concept, be able to explain 'what,' 'why,' and 'how to debug it.' Practice explaining technical concepts clearly—you'll need to articulate complex ideas simply. When asked a question you don't know, walk through your thinking process rather than guessing. Mention relevant tools and commands you'd use to investigate. Show curiosity: instead of just answering, explain what you'd check next to understand a problem more deeply.
Focus Topics
Linux File System and Permissions
Understanding inodes, file descriptors, directory structures, and permission model (user/group/other, read/write/execute). Know how to check disk usage with df and du, understand filesystem mounts, and diagnose permission-related failures.
Practice Interview
Study Questions
System Troubleshooting Methodology
A structured approach to investigating system problems: defining the problem precisely, gathering data (logs, metrics, process states), forming hypotheses, testing them, and iterating. Practice thinking out loud through a troubleshooting scenario.
Practice Interview
Study Questions
Network Fundamentals and Troubleshooting
TCP/IP stack basics, IP addresses, ports, DNS resolution, and network interfaces. Know tools like netstat, ss, ifconfig, ip, and dig. Understand how to identify network connectivity issues, check which processes are listening on ports, and trace network connections.
Practice Interview
Study Questions
Linux Process Management
Understanding process states (running, sleep, zombie, defunct), process hierarchies (parent/child), signals (SIGKILL, SIGTERM), and how to inspect processes using ps, top, and /proc filesystem. Know how to find resource-hungry processes and how to manage process termination gracefully.
Practice Interview
Study Questions
Scripting and Automation Round
What to Expect
A 60-minute hands-on round where you'll write automation scripts (typically Bash, Python, or Go) to solve operational problems. You may be given scenarios like: 'Write a script that monitors a directory for new log files and archives them if they're older than 7 days,' or 'Create a script that checks if a service is running and alerts if it's not.' You'll write code in a shared editor (often HackerRank, LeetCode-style environment) or explain your approach if using a local terminal. The focus is not on clever algorithms but on writing practical, readable automation code that handles edge cases.
Tips & Advice
Practice writing Bash and Python scripts for common SRE tasks: monitoring, log parsing, file operations, error handling, and simple HTTP requests. Prioritize clarity and robustness over brevity. Always include error checking (did the command succeed?), handle edge cases (what if the file doesn't exist?), and add comments explaining non-obvious logic. Bash is often tested for automation because it's ubiquitous in operations; make sure you're comfortable with conditionals, loops, functions, and basic error handling. If using Python, show familiarity with file I/O, subprocess execution, error handling (try/except), and standard library modules. Ask clarifying questions: 'Should the script run continuously or once?', 'What should happen if the service fails to start?'. This shows you think like an operator, not just a coder.
Focus Topics
Operational Scripting Patterns
Common patterns in SRE scripts: monitoring service health, managing log rotation and cleanup, backing up files, polling external endpoints, sending alerts, and orchestrating multi-step operational tasks. Understanding when to use cron jobs, systemd timers, or other schedulers.
Practice Interview
Study Questions
Python for Automation and Monitoring
Writing Python scripts for operational tasks: file I/O, subprocess execution, HTTP requests (requests library), JSON parsing, error handling, and structuring code for clarity. Know when Python is better than Bash (more complex logic, better error handling, readability at scale).
Practice Interview
Study Questions
Bash Scripting for Operations
Writing robust Bash scripts for operational automation: variables, conditionals, loops, functions, file operations, command substitution, and error handling. Know how to parse command output, manipulate text with grep/sed/awk, and structure scripts for readability and maintainability.
Practice Interview
Study Questions
Error Handling and Edge Cases in Scripts
Anticipating and handling failures: checking command exit codes, using 'set -e' in Bash, try/except in Python, validating inputs, and handling missing files or network failures. Writing defensive scripts that fail gracefully and provide clear error messages.
Practice Interview
Study Questions
System Design & Architecture Thinking Round
What to Expect
A 60-minute discussion-based round where you'll design a simple distributed system or operational infrastructure. Example scenarios: 'Design a monitoring system for a web application,' 'How would you architect a deployment pipeline to ensure zero-downtime updates?', or 'Design a logging system that can handle high volume and still be searchable.' You won't be asked to code; instead, you'll discuss architecture, trade-offs, and justify your choices. The interviewer will probe your thinking: 'What if traffic spikes 10x?', 'How do you handle failures?', 'What are the bottlenecks?' For junior level, expect foundational system design—you should understand components (databases, queues, caches, load balancers) and basic trade-offs, but not deep distributed systems theory.
Tips & Advice
Approach system design problems methodically: start by clarifying requirements and constraints, sketch a high-level architecture, identify key components, discuss trade-offs, and iterate based on questions. For junior SREs, focus on practical infrastructure components you've worked with (Docker, Kubernetes, databases, monitoring). Don't try to design Netflix-scale systems; instead, design systems you could plausibly operate. Use concrete examples: instead of generic 'caching,' discuss Redis with TTLs. Draw diagrams (on a whiteboard or in text form) to clarify your thinking. Discuss failure modes: 'What if this component fails? How do we detect it? What's our recovery strategy?' Show you understand operational concerns like monitoring, alerting, and debugging. Admit gaps honestly: 'I haven't worked with distributed tracing at scale, but I'd research observability patterns like OpenTelemetry or Jaeger.'
Focus Topics
High Availability and Resilience Patterns
Designing systems for reliability: redundancy, failover, circuit breakers, graceful degradation, and timeout strategies. Understanding single points of failure, designing for regional failures, and building systems that degrade gracefully under load.
Practice Interview
Study Questions
Capacity Planning and Scaling
Understanding how systems scale: horizontal vs. vertical scaling, identifying bottlenecks, and capacity planning. When do databases become the bottleneck? When do you add caching? How do you forecast resource needs? Basic understanding of load balancing and auto-scaling.
Practice Interview
Study Questions
Deployment and Release Architecture
Designing safe deployment processes: blue/green deployments, canary releases, rolling updates, and rollback strategies. Understanding how to minimize downtime, validate deployments, and catch problems early. Container orchestration platforms like Kubernetes and their deployment models.
Practice Interview
Study Questions
Monitoring and Observability Architecture
Designing systems for reliable monitoring: metrics collection (Prometheus), log aggregation (ELK, Splunk), distributed tracing, alerting strategies, and dashboards. Understanding time-series databases, metric cardinality, retention policies, and sampling for high-scale systems.
Practice Interview
Study Questions
Incident Response and Troubleshooting Scenario Round
What to Expect
A 60-minute round focused on your ability to diagnose and respond to operational problems. You'll be presented with realistic incident scenarios drawn from the job description: 'A deployment causes 50% of pods to enter CrashLoopBackOff in Kubernetes and latency spikes,' 'A dependency rate-limits your service with HTTP 429 errors,' or 'Old photos are timing out in your storage service.' You'll walk through your diagnosis process, suggest mitigations, explain how you'd communicate to stakeholders, and design long-term fixes. The focus is on your methodology, communication, and thinking under pressure—not on knowing every answer. You may be interrupted with new information to test your adaptability.
Tips & Advice
Use a structured framework for incident response. Start by clarifying the scope: 'How many users are affected? What's the business impact? Is it still ongoing?' Propose immediate mitigations (revert deployment, disable features, route around the problem) before investigating root cause. Use the tools and metrics you'd actually check: logs, metrics, traces, and system state. Walk through your debugging process out loud so the interviewer understands your thinking. Discuss defensive design: 'How should this service have been designed to prevent this?' Talk about communication: 'I'd page the database team and update the incident commander every 5 minutes.' For each scenario, propose both short-term (stop the bleeding) and long-term (prevent recurrence) solutions. Admit uncertainty but show you know where to look for answers. Show empathy: acknowledge the business impact and user frustration, but stay calm and methodical.
Focus Topics
Performance Debugging and Latency Investigation
Finding the root cause of latency spikes: checking CPU/memory/disk/network utilization, profiling applications, querying slow logs, and identifying bottlenecks. Understanding the difference between resource exhaustion and an algorithmic problem. Using monitoring and tracing tools to narrow down where time is spent.
Practice Interview
Study Questions
Incident Communication and Escalation
Communicating clearly during an incident: updating stakeholders with facts (not guesses), knowing when to escalate, coordinating with multiple teams, and following incident command structure. Distinguishing between application bugs and infrastructure issues to route to the right team.
Practice Interview
Study Questions
Dependency Failures and Graceful Degradation
Handling failures in external services or dependencies: rate limiting (HTTP 429), timeouts, quota exhaustion. Understanding circuit breakers, intelligent retries, and how to design services that behave well when dependencies fail. Knowing when to disable features vs. when to queue/cache.
Practice Interview
Study Questions
Kubernetes Troubleshooting and Pod Failures
Diagnosing pod startup failures, CrashLoopBackOff states, and deployment issues. Understanding pod lifecycle, logs, events, resource limits, and how to quickly identify whether the problem is with the container image, configuration, or the cluster. Using kubectl to inspect pods, check node status, and understand networking.
Practice Interview
Study Questions
Behavioral and Collaboration Round
What to Expect
A 45-minute round focused on how you work with others, handle pressure, learn from mistakes, and align with the company culture. You'll be asked about times you collaborated with developers, how you handled a difficult incident or project, what you do when you don't know something, and how you prioritize in a chaotic environment. Examples: 'Tell me about a time you had to work with a developer to troubleshoot a production issue,' 'Describe a mistake you made and what you learned,' or 'How do you stay current with new technologies and practices?' The interviewer is assessing communication, humility, growth mindset, and teamwork—essential for SRE roles where you're part of both ops and engineering teams.
Tips & Advice
Use the STAR method (Situation, Task, Action, Result) to structure behavioral stories. Prepare 4-5 stories covering different themes: collaboration, handling failure, learning, and prioritization. For each story, emphasize what you learned and how you'd handle it differently next time. When asked 'What's your weakness?', pick something real but show growth: 'I used to script in Bash without thinking about error handling, but I've learned that robust error checking prevents problems downstream.' Emphasize growth mindset—talk about learning from incidents, reading post-mortems, and practicing new tools. Show you value collaboration: 'I scheduled a pairing session with a developer to understand their deployment process better.' Be honest about not knowing things, but highlight your learning approach. Demonstrate respect for both ops and development perspectives; the best SREs bridge these worlds. Avoid blame; focus on systemic improvements. For FAANG companies, relate your answers to their stated values or principles (e.g., for Google, discuss 'shifting left' in security; for Amazon, discuss 'bias for action').
Focus Topics
Continuous Learning and Staying Current
Your approach to learning new technologies, best practices, and industry trends. Reading incident post-mortems from respected companies, contributing to internal knowledge base, practicing in side projects, and staying curious about how systems work.
Practice Interview
Study Questions
Handling On-call and Pressure
Managing being on-call: staying calm during high-stress incidents, making decisions with incomplete information, prioritizing multiple problems, and asking for help when needed. Showing resilience and demonstrating that you can function well under pressure.
Practice Interview
Study Questions
Learning from Incidents and Post-incident Review
Responding to incidents with curiosity rather than blame. Asking 'why' questions to understand root causes, proposing systemic improvements, and sharing knowledge from incidents with the team. Showing humility and demonstrating growth from past mistakes.
Practice Interview
Study Questions
Cross-team Collaboration with Developers and Operations
Sharing context about system behavior with developers, explaining why an operational constraint matters, and collaborating on solutions. Building trust with development teams through clear communication and shared ownership of reliability. Managing situations where perspectives differ.
Practice Interview
Study Questions
Hiring Manager Round
What to Expect
A 45-minute conversation with the hiring manager (typically the SRE team lead or manager) to assess overall fit, long-term potential, and mutual interest. The tone is more conversational than previous rounds. The manager will ask about your career goals, why you're interested in the team, what you want to learn, and whether you're genuinely excited about the role. This is also your opportunity to ask detailed questions about team culture, mentorship, career growth, on-call practices, and the types of problems you'd work on. The hiring manager is assessing whether you'll integrate well with the team, have realistic expectations, and are motivated to grow in the SRE discipline.
Tips & Advice
Prepare specific questions about the team and role. Instead of 'Tell me about the team,' ask 'What's the composition of the team?', 'What are the current operational challenges you're focused on?', or 'How do you approach mentoring junior SREs?' Demonstrate that you're genuinely interested in this specific team and company, not just any SRE job. Show enthusiasm for learning: 'I'm excited to deepen my understanding of [specific technology or practice the company is known for].' Be authentic about your experience and skills—don't oversell. If asked about your ideal team or role, be realistic for a junior position: focus on learning and gradually taking on more ownership, not immediately leading projects. Ask about mentorship and learning opportunities. Discuss your long-term career vision in SRE (what excites you?). Be friendly and personable; the manager wants to know if they'd enjoy working with you. At the end, express genuine interest: 'I'm really excited about the possibility of joining this team and contributing to your reliability goals.'
Focus Topics
Questions About On-call, Production Readiness, and Day-to-day Work
Asking intelligent questions about the team's on-call schedule, typical incident volume, production readiness practices, and what you'd actually do day-to-day. This shows you understand SRE is operational work and are prepared for the realities of the role.
Practice Interview
Study Questions
Growth Opportunities and Mentorship Expectations
Being clear about what you want to learn and how the team can support your growth. Asking about mentorship structure, exposure to different areas, and how the team develops junior SREs. Showing you're coachable and eager to develop skills.
Practice Interview
Study Questions
Long-term Career Goals in SRE
Articulating what attracts you to SRE as a career: Are you interested in infrastructure and scaling systems? Do you enjoy the pace of incident response? Are you drawn to automation and reducing toil? Where do you see yourself in 3-5 years as an SRE? Showing genuine passion for the discipline beyond just getting a job.
Practice Interview
Study Questions
Fit with Team Values and Culture
Understanding and resonating with the team's values: blameless incident culture, data-driven decision making, automation mindset, and continuous learning. Asking questions that reveal whether you align with how the team operates and what they value.
Practice Interview
Study Questions
Frequently Asked Site Reliability Engineer (SRE) Interview Questions
Sample Answer
# awk -f to_jsonl.awk
function jesc(s, t) {
# escape backslash and double-quote first
gsub(/\\/,"\\\\",s)
gsub(/\"/,"\\\"",s)
# common control escapes
gsub(/\r/,"\\r",s)
gsub(/\n/,"\\n",s)
gsub(/\t/,"\\t",s)
return s
}
{
# split first three space-separated fields; message is remainder
timestamp = $1
level = $2
module = $3
# build message from $4..$NF preserving spaces
msg = ""
for(i=4;i<=NF;i++){
msg = msg (i==4 ? "" : " ") $i
}
msg = jesc(msg)
printf("{\"timestamp\":\"%s\",\"level\":\"%s\",\"module\":\"%s\",\"message\":\"%s\"}\n", jesc(timestamp), jesc(level), jesc(module), msg)
}Sample Answer
Sample Answer
#!/usr/bin/env bash
set -euo pipefail
IFS=$'\n\t'
# Step identity (helps logs)
STEP_NAME="${STEP_NAME:-deployment-step}"
# List required env vars here
required_env_vars=(DEPLOY_TARGET AUTH_TOKEN)
# Validate required environment variables (fail fast if missing)
for var in "${required_env_vars[@]}"; do
if [[ -z "${!var-}" ]]; then
echo "ERROR: Required environment variable '$var' is not set. Aborting ${STEP_NAME}." >&2
exit 2
fi
done
# Cleanup function (idempotent)
cleanup() {
# Put idempotent teardown here, safe to run on success or failure
echo "Cleanup: tearing down temporary resources for ${STEP_NAME}..."
# e.g., rm -f /tmp/my-deploy-*
}
# Error handler: captures exit code and the command that failed
on_error() {
local exit_code=${1:-$?}
local failed_cmd=${2:-'unknown'}
echo "ERROR: ${STEP_NAME} failed. Command: '${failed_cmd}' Exit code: ${exit_code}" >&2
# perform cleanup actions
cleanup
# propagate failure
exit "${exit_code}"
}
# Trap ERR to capture the failing command and its exit code
trap 'on_error $? "$BASH_COMMAND"' ERR
# Optional: ensure cleanup runs on normal exit too (no-op if on_error already exited)
trap 'cleanup' EXIT
# -------------------------
# Actual deployment steps
# -------------------------
echo "Starting ${STEP_NAME}..."
# Example commands; any failing command triggers ERR trap
# e.g., build, push, or apply
# build step
# make build
# push artifacts
# ./push-artifacts.sh
# deploy
# kubectl apply -f k8s/ --namespace="${DEPLOY_TARGET}"
echo "${STEP_NAME} completed successfully."Sample Answer
Sample Answer
Sample Answer
Sample Answer
Sample Answer
# python pseudocode
import time, json
from enum import Enum
class Status(Enum): PENDING = "PENDING"; DONE = "DONE"; FAILED = "FAILED"; COMPENSATING = "COMPENSATING"; COMPENSATED = "COMPENSATED"
class Step:
def __init__(self, name):
self.name = name
def execute(self, ctx): raise NotImplementedError
def compensate(self, ctx): raise NotImplementedError
# simple durable store interface (wrap Redis/RDB)
class Store:
def save(self, saga_id, state_dict): ...
def load(self, saga_id): ...
class Orchestrator:
def __init__(self, steps, store, max_retries=5):
self.steps = steps
self.store = store
self.max_retries = max_retries
def start(self, saga_id, initial_ctx):
state = self.store.load(saga_id) or self._init_state(saga_id, initial_ctx)
try:
self._run(state)
finally:
self.store.save(saga_id, state)
def _init_state(self, saga_id, ctx):
state = {
"saga_id": saga_id,
"ctx": ctx,
"steps": [{ "name": s.name, "status": Status.PENDING.value, "retries":0 } for s in self.steps]
}
self.store.save(saga_id, state)
return state
def _run(self, state):
for idx, step_meta in enumerate(state["steps"]):
step = self.steps[idx]
if step_meta["status"] == Status.DONE.value: continue
if step_meta["status"] in (Status.FAILED.value, Status.PENDING.value):
success = self._execute_with_retries(step, state, idx)
if not success:
# fatal -> compensate completed steps in reverse
self._compensate_completed(state, idx-1)
raise Exception(f"Fatal step failure: {step.name}")
# all done
self.store.save(state["saga_id"], state)
def _execute_with_retries(self, step, state, idx):
meta = state["steps"][idx]
while meta["retries"] < self.max_retries:
try:
# idempotency: step.execute should be safe to call multiple times using state["ctx"]
result = step.execute(state["ctx"])
meta["status"] = Status.DONE.value
meta["result"] = result
self.store.save(state["saga_id"], state)
return True
except TransientError:
meta["retries"] += 1
self.store.save(state["saga_id"], state)
time.sleep(2 ** meta["retries"])
continue
except FatalError:
meta["status"] = Status.FAILED.value
self.store.save(state["saga_id"], state)
return False
# exceeded retries -> treat as fatal
meta["status"] = Status.FAILED.value
self.store.save(state["saga_id"], state)
return False
def _compensate_completed(self, state, last_completed_idx):
for idx in range(last_completed_idx, -1, -1):
meta = state["steps"][idx]
if meta["status"] != Status.DONE.value: continue
step = self.steps[idx]
try:
meta["status"] = Status.COMPENSATING.value
self.store.save(state["saga_id"], state)
step.compensate(state["ctx"])
meta["status"] = Status.COMPENSATED.value
self.store.save(state["saga_id"], state)
except Exception:
# log and continue – compensations should be retriable and idempotent
meta["status"] = Status.FAILED.value
self.store.save(state["saga_id"], state)Sample Answer
import json
import logging
from typing import Dict, Optional
logger = logging.getLogger(__name__)
class ConfigAccessError(PermissionError):
"""Raised when config file exists but isn't readable due to permissions."""
pass
def load_json_config(path: str, defaults: Dict, correlation_id: Optional[str] = None) -> Dict:
"""
Load JSON config from path and merge with defaults.
File values override defaults.
- FileNotFoundError: return defaults
- PermissionError: raise ConfigAccessError
- json.JSONDecodeError: log structured error and return defaults
"""
extra = {"correlation_id": correlation_id}
try:
with open(path, "r", encoding="utf-8") as f:
data = json.load(f)
except FileNotFoundError:
logger.info("Config file not found; using defaults.", extra=extra)
return dict(defaults)
except PermissionError as e:
logger.error("Permission denied reading config file.", exc_info=True, extra=extra)
raise ConfigAccessError(str(e)) from e
except json.JSONDecodeError as e:
# structured log containing file path, error position, and optional correlation id
logger.error(
"Malformed JSON in config file.",
extra={**extra, "path": path, "msg": e.msg, "lineno": e.lineno, "colno": e.colno},
exc_info=False,
)
return dict(defaults)
if not isinstance(data, dict):
logger.error("Config JSON must be an object/dict; ignoring file and using defaults.",
extra={**extra, "path": path})
return dict(defaults)
merged = dict(defaults)
merged.update(data) # file overrides defaults
return mergedSample Answer
Recommended Additional Resources
- The Site Reliability Workbook by Google (covers monitoring, incident response, automation)
- Kubernetes the Hard Way by Kelsey Hightower (deep understanding of container orchestration)
- LeetCode (for scripting and algorithm refresher; focus on string manipulation, file I/O, system simulation problems)
- System Design Primer (GitHub repo) - focus on foundational components like load balancers, caches, databases, monitoring
- Google Cloud Architecture Center and AWS Well-Architected Framework (real-world architecture patterns)
- Post-mortems from Google, Netflix, and Etsy (blameless incident analysis and SRE thinking)
- Bash Guide for Beginners and Python documentation (for scripting proficiency)
- Kubernetes official documentation, especially troubleshooting guide and pod lifecycle
- Prometheus and Grafana documentation (modern monitoring stack fundamentals)
- Container and container orchestration courses (Udemy, Coursera) to strengthen Docker and Kubernetes understanding
- Blogs: Google Cloud Blog, Netflix Tech Blog, AWS Architecture Blog, and individual SRE practitioner blogs
- Practice setting up a local Kubernetes cluster (minikube, kind) and deploying applications with different failure modes to practice troubleshooting
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