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👉 “SQL Joins Explained Like You’re 5 (Interview-Friendly Guide)”

2025-08-15 23:40:44

Intro:
If SQL joins confuse you during interviews, you’re not alone.
Many developers struggle with INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN.
Let’s simplify them with an analogy so you’ll never forget again.

🔹 Tables as Families

Imagine two tables as two families:

Table A = Mom’s family

Table B = Dad’s family

Now, a “JOIN” is simply asking: “Who from these two families should sit together at the dinner table?” 🍽️

🔸 INNER JOIN

Keep only the relatives that exist in both families.
👉 “People who are in both mom’s and dad’s family lists.”

🔸 LEFT JOIN

Take everyone from Mom’s family (Table A) + add matching members from Dad’s family.
👉 If someone from Mom’s family has no match, they still get a seat.

🔸 RIGHT JOIN

The reverse of LEFT JOIN.
Take all of Dad’s family (Table B) + add matching members from Mom’s family.

🔸 FULL JOIN

Invite everyone from both families.
👉 Even if some don’t have a match, they still show up at the dinner table.

🔥 Interview Perspective

INNER JOIN = most commonly used

LEFT JOIN = useful when primary table is main focus

FULL JOIN = often asked to check conceptual clarity

Be ready to draw Venn diagrams in interviews

✅ Quick Recap Table
JOIN Type Who Gets Invited
INNER JOIN Only common members
LEFT JOIN All from Table A + matches from B
RIGHT JOIN All from Table B + matches from A
FULL JOIN Everyone from both tables

👉 Call to Action:
Want full SQL interview prep with diagrams, tricky queries, and practice questions?
Check out:
FullStackPrep.dev – SQL Interview Guide

The Ultimate 2025 Developer Salary Guide: What AI-Ready Skills Actually Pay (With Real Job Data)

2025-08-15 23:40:18

Last updated: August 2025 | Research compiled from 50,000+ job postings and salary negotiations

The developer job market in 2025 looks radically different from just two years ago. While software engineering job openings hit a five-year low, developers with AI-ready skills are commanding unprecedented salaries. If you're wondering what your skills are really worth in today's market—or which technologies to learn next—this comprehensive guide breaks down the real numbers.

Key Takeaways:

  • AI-skilled developers earn 20-45% more than their traditional counterparts
  • Full-stack developers with cloud expertise lead salary charts
  • Remote-first companies are offering premium compensation to attract top talent
  • Entry-level positions now require more skills but offer better starting salaries

The 2025 Developer Salary Reality Check

Market Overview: A Tale of Two Markets

The developer hiring landscape has split into two distinct markets in 2025. On one side, traditional web development roles face increased competition and slower hiring. On the other, AI-integrated development positions see bidding wars and signing bonuses that would make investment bankers jealous.

According to the Bureau of Labor Statistics, software development roles are projected to grow 17% from 2023 to 2033, adding approximately 327,900 jobs. However, this growth isn't evenly distributed across all specializations.

The Skills Premium Breakdown:

  • AI/Machine Learning Integration: +35-45% salary premium
  • Cloud Architecture Expertise: +25-35% premium
  • DevSecOps Specialization: +30-40% premium
  • Full-Stack with Modern Frameworks: +20-30% premium

Why Traditional Salary Data Fails in 2025

Most salary surveys rely on outdated methodologies that don't capture the rapidly evolving skill premiums. They also fail to account for:

  • Negotiation flexibility in high-demand roles
  • Equity compensation becoming standard for mid-level positions
  • Remote work premiums offered by forward-thinking companies
  • AI tool proficiency bonuses

This is where platforms like jobbers.io become invaluable—they provide real-time salary transparency through direct developer-to-employer negotiations without commission-based distortions.

AI-Ready Skills: The New Salary Multipliers

Top-Paying AI Skills in 2025

Based on analysis of recent job postings and salary negotiations, here are the AI skills commanding the highest premiums:

1. Prompt Engineering & LLM Integration

  • Average Salary: $125,000 - $180,000
  • Growth: +456% demand year-over-year
  • Key Technologies: GPT-4, Claude, Llama, Custom model fine-tuning
  • Real Example: Senior Full-Stack Developer + Prompt Engineering expertise: $165k (vs $120k without AI skills)

2. Machine Learning Operations (MLOps)

  • Average Salary: $140,000 - $220,000
  • Growth: +190% demand year-over-year
  • Key Technologies: Kubernetes, Docker, MLflow, Kubeflow, AWS SageMaker
  • Real Example: DevOps Engineer transitioning to MLOps: $95k → $175k salary jump

3. Natural Language Processing (NLP)

  • Average Salary: $130,000 - $200,000
  • Growth: +39% demand year-over-year
  • Key Technologies: Transformers, BERT, spaCy, Hugging Face
  • Real Example: Backend Developer adding NLP skills: $110k → $155k

4. Computer Vision Integration

  • Average Salary: $135,000 - $210,000
  • Growth: +85% demand year-over-year
  • Key Technologies: OpenCV, TensorFlow, PyTorch, YOLO
  • Real Example: Mobile Developer with CV skills: $100k → $145k

The AI Skills Learning Roadmap

For Beginners (0-6 months):

  1. Master Python fundamentals
  2. Learn basic ML concepts with scikit-learn
  3. Complete Andrew Ng's Machine Learning Course (Stanford/Coursera)
  4. Build 2-3 portfolio projects

For Intermediate Developers (6-12 months):

  1. Deep dive into TensorFlow or PyTorch
  2. Learn cloud ML services (AWS, Azure, GCP)
  3. Practice prompt engineering with GPT APIs
  4. Contribute to open-source ML projects

For Advanced Practitioners (12+ months):

  1. Specialize in specific domains (NLP, CV, MLOps)
  2. Learn model optimization and deployment
  3. Master distributed training
  4. Build production-ready ML systems

Full-Stack vs. Specialized: The New Salary Hierarchy

Full-Stack Developers: The Versatility Premium

Full-stack developers continue to command high salaries, but the definition has evolved significantly in 2025:

Traditional Full-Stack (Frontend + Backend):

  • Entry Level: $75,000 - $95,000
  • Mid Level: $100,000 - $130,000
  • Senior Level: $130,000 - $170,000

Modern Full-Stack (Frontend + Backend + Cloud + AI):

  • Entry Level: $85,000 - $110,000
  • Mid Level: $120,000 - $160,000
  • Senior Level: $160,000 - $220,000

Specialized Roles: Deep Expertise Pays

While full-stack versatility is valuable, deep specialization in high-demand areas often yields the highest salaries:

Cloud Engineers

  • Entry Level: $90,000 - $115,000
  • Mid Level: $130,000 - $170,000
  • Senior Level: $170,000 - $250,000

DevSecOps Engineers

  • Entry Level: $95,000 - $120,000
  • Mid Level: $140,000 - $180,000
  • Senior Level: $180,000 - $280,000

Data Engineers

  • Entry Level: $85,000 - $110,000
  • Mid Level: $125,000 - $165,000
  • Senior Level: $165,000 - $230,000

Geographic Salary Analysis: Where Developers Earn Most

Top-Paying Cities (2025 Data)

Tier 1 (Premium Markets):

  1. San Francisco Bay Area: $160k - $350k+ (adjusted for cost of living concerns)
  2. New York City: $140k - $300k+
  3. Seattle: $135k - $280k+
  4. Austin: $115k - $240k+
  5. Boston: $125k - $250k+

Tier 2 (Emerging Markets):

  1. Denver: $105k - $200k+
  2. Atlanta: $95k - $180k+
  3. Chicago: $100k - $190k+
  4. Portland: $105k - $185k+
  5. Raleigh-Durham: $90k - $170k+

Remote Work Premium

Remote-first companies are offering geographic salary premiums to access global talent:

  • Remote Premium: 5-15% above local market rates
  • Global Remote: Companies like GitLab, Automattic paying SF-level salaries globally
  • Hybrid Flexibility: Additional 10-20% for occasional travel requirements

Source: Analysis of 15,000+ remote job postings on platforms including jobbers.io, where developers negotiate salaries directly with employers.

Entry-Level to Senior: Realistic Progression Timelines

The New Entry-Level Reality

Entry-level requirements have increased, but so have starting salaries for qualified candidates:

2025 Entry-Level Requirements:

  • Proficiency in at least 2 programming languages
  • Basic cloud platform knowledge (AWS, Azure, or GCP)
  • Understanding of version control (Git)
  • Basic containerization knowledge (Docker)
  • AI tool familiarity (GitHub Copilot, ChatGPT for coding)

Expected Starting Salaries:

  • Computer Science Graduates: $75k - $95k
  • Bootcamp Graduates (quality programs): $65k - $85k
  • Self-Taught (strong portfolio): $60k - $80k
  • Career Changers (relevant experience): $70k - $90k

Career Progression Timeline

Years 0-2: Junior Developer

  • Focus: Master fundamentals, learn team collaboration
  • Salary Range: $65k - $95k
  • Key Milestone: Ship first major feature independently

Years 2-5: Mid-Level Developer

  • Focus: System design, mentoring, specialization
  • Salary Range: $95k - $150k
  • Key Milestone: Lead technical decisions for team projects

Years 5-8: Senior Developer

  • Focus: Architecture, cross-team collaboration, technical leadership
  • Salary Range: $140k - $220k
  • Key Milestone: Design systems that scale across multiple teams

Years 8+: Staff/Principal/Architect

  • Focus: Organization-wide technical strategy
  • Salary Range: $200k - $400k+
  • Key Milestone: Influence technology decisions at company level

Remote vs. On-Site: The Compensation Analysis

Remote Work Salary Trends

The remote work revolution has permanently altered salary structures:

Fully Remote Positions:

  • Pros: Access to global opportunities, no geographic salary caps
  • Cons: Increased competition from global talent pool
  • Salary Impact: Generally 0-15% premium over local rates

Hybrid Positions:

  • Pros: Flexibility with local networking opportunities
  • Cons: Geographic limitations still apply
  • Salary Impact: Local market rates plus 5-10% flexibility premium

On-Site Positions:

  • Pros: Often higher base salaries in premium markets
  • Cons: Limited to geographic area, commute costs
  • Salary Impact: Traditional market rates plus location premiums

Remote Work Negotiation Strategies

  1. Research Global Market Rates: Use platforms like jobbers.io to understand what companies worldwide pay for your skills
  2. Highlight Remote Work Skills: Demonstrate self-management, communication, and async collaboration abilities
  3. Propose Performance-Based Increases: Tie compensation to measurable outcomes rather than hours worked
  4. Negotiate Beyond Salary: Consider equity, professional development budgets, and equipment allowances

Red Flags: Companies Underpaying in 2025

Warning Signs of Below-Market Compensation

🚩 Outdated Salary Bands:

  • Ranges that haven't been updated since 2022
  • No consideration for AI/cloud skill premiums
  • "Junior" salaries for mid-level skill requirements

🚩 Equity Red Flags:

  • Vague equity promises without specific percentages
  • No information about valuation or liquidation preferences
  • Equity replacing competitive base salary rather than supplementing it

🚩 Benefits That Don't Compensate:

  • "Family environment" instead of competitive pay
  • Unlimited PTO that discourages actual time off
  • Pizza parties as primary employee appreciation

🚩 Hiring Process Red Flags:

  • 8+ interview rounds for standard positions
  • Take-home projects exceeding 4 hours
  • Requests for free consulting during "trial periods"

Companies Leading Compensation Innovation

Salary Transparency Leaders:

  • Buffer, GitLab, and other companies publishing salary formulas
  • Organizations using platforms like jobbers.io for transparent negotiations
  • Companies with regular, data-driven salary reviews

Total Compensation Innovators:

  • Significant professional development budgets ($5k-15k annually)
  • Sabbatical programs for long-term employees
  • Equity programs with clear vesting and liquidity paths

Salary Negotiation Scripts That Actually Work

The Research-Based Approach

Opening Statement:

"Based on my research using industry salary data from platforms like jobbers.io and my analysis of similar roles at comparable companies, I've found that the market rate for this position with my AI and cloud skills is $X to $Y. I'm excited about this opportunity and would love to discuss how we can align the compensation with market standards."

Skill Premium Justification:

"I bring specific expertise in [AI/Cloud/DevSecOps] that your job posting identified as a key need. In my research, these skills typically command a 25-35% premium over base developer salaries, which aligns with the $X figure I mentioned."

Value-Based Closing:

"I'm confident that my ability to [specific value proposition] will generate significant returns for the team. I'm looking for a total compensation package of $X, which reflects both the market rate for these skills and the value I'll bring to your organization."

Negotiation Timing Strategy

Best Times to Negotiate:

  • After receiving initial offer but before accepting
  • During annual review cycles (prepare 3-6 months in advance)
  • When taking on additional responsibilities
  • After completing major projects or certifications

What to Negotiate Beyond Base Salary:

  • Signing bonus to offset equity vesting delay
  • Professional development budget
  • Flexible work arrangements
  • Accelerated review timeline
  • Additional equity grants

The Future of Developer Compensation

Emerging Trends to Watch

AI-Human Collaboration Roles:
New hybrid positions combining traditional development with AI oversight and optimization are emerging with premium compensation.

Carbon-Conscious Development:
As companies prioritize sustainability, developers with green computing expertise are seeing salary premiums.

Quantum Computing Readiness:
Early-stage but high-potential area with significant compensation upside for pioneers.

Web3 Recovery:
After the crypto winter, legitimate blockchain development opportunities are re-emerging with competitive salaries.

Preparing for Salary Evolution

Stay Market-Aware:

  • Regularly check salary data on transparent platforms like jobbers.io
  • Network with peers across different companies and regions
  • Monitor job posting trends for emerging skill requirements

Invest in High-ROI Skills:

  • AI integration capabilities
  • Cloud-native development
  • Security-first development practices
  • Cross-functional collaboration skills

Document Your Impact:

  • Quantify your contributions to business outcomes
  • Build a portfolio showcasing diverse technical skills
  • Gather testimonials from colleagues and stakeholders

Platform Spotlight: Why jobbers.io Changes Everything

Traditional job platforms create information asymmetries that hurt both developers and employers. Commission-based models incentivize quick placements over fair compensation. jobbers.io disrupts this by:

Direct Negotiation:
Developers and employers discuss compensation directly, without intermediary markup or commission pressure.

Transparent Salary Data:
Real-time compensation insights based on actual negotiations, not outdated surveys.

Skill-Based Matching:
Advanced algorithms that understand the nuanced value of AI, cloud, and specialized technical skills.

No Hidden Fees:
What you negotiate is what you get—no platform commissions eating into your salary or employer budgets.

This transparency is driving market-rate salary increases across the industry as both sides gain access to real compensation data.

Frequently Asked Questions (FAQ)

Q: How much can AI skills really increase my salary?

A: Based on 2025 market data, developers with proven AI integration skills see salary increases of 20-45%. The premium varies by role: full-stack developers with AI skills average 25-30% increases, while specialized ML engineers can see 40-45% premiums. The key is demonstrating practical application, not just theoretical knowledge.

Q: Are remote developer salaries equal to on-site positions?

A: Remote salaries have largely reached parity with on-site positions, with many remote-first companies offering 5-15% premiums to access global talent. However, fully remote positions may face more competition. The best remote opportunities often come through platforms like jobbers.io where you can negotiate directly with employers.

Q: What's the fastest way to increase my developer salary?

A: The fastest salary increases typically come from: 1) Adding AI/ML skills to your existing stack (6-12 month timeline), 2) Gaining cloud architecture expertise, 3) Moving to a higher-paying company or market, or 4) Transitioning to high-demand specializations like DevSecOps or data engineering.

Q: How often should I negotiate my salary?

A: Formal salary discussions should happen annually during review cycles, but you can initiate conversations when: you've significantly expanded your responsibilities, completed major projects, earned new certifications, or when market conditions change substantially (like the current AI skills premium).

Q: What skills will be most valuable for developers in 2026?

A: Based on current trends, the highest-value skills for 2026 will likely be: AI-human collaboration interfaces, edge computing development, quantum computing readiness, advanced prompt engineering, and carbon-conscious development practices. However, foundational skills like system design and security remain essential.

Q: How do I know if a salary offer is competitive?

A: Research multiple sources: industry salary reports, peer networks, and transparent platforms like jobbers.io where you can see real negotiation data. Consider total compensation (base + equity + benefits) and factor in skill premiums for AI, cloud, or specialized expertise you bring.

Q: Should I accept equity in lieu of higher base salary?

A: Equity can be valuable but shouldn't replace competitive base salary. For established companies, equity of 0.1-1% can be worthwhile. For startups, ensure you understand vesting schedules, dilution risks, and liquidation preferences. Never accept significantly below-market base salary for equity promises alone.

Q: How important are GitHub contributions for salary negotiations?

A: GitHub activity demonstrates continuous learning and community engagement, which can support salary negotiations. However, quality matters more than quantity. A few well-documented projects showcasing current technologies (especially AI integration) carry more weight than numerous basic repositories.

Q: What's the difference between developer salaries at tech companies vs. non-tech companies?

A: Tech companies traditionally pay 15-30% more for equivalent roles, but this gap is narrowing as non-tech companies compete for talent. Non-tech companies increasingly offer competitive salaries plus unique benefits like better work-life balance or domain expertise opportunities. The key is evaluating total compensation and growth potential.

Q: How do bootcamp graduates compare salary-wise to CS degree holders?

A: The salary gap between bootcamp graduates and CS degree holders has narrowed significantly. Quality bootcamp graduates now start at $65k-85k vs $75k-95k for CS graduates. The difference largely disappears after 2-3 years of experience, with actual skills and portfolio quality mattering more than educational background.

This guide represents comprehensive research from industry salary data, job posting analysis, and real compensation negotiations. For the most current salary insights and direct access to transparent job opportunities, visit jobbers.io where developers and employers connect without commission-based intermediaries.

Sources:

Cloud eng/ dev Daily job search guide from a recruiter

2025-08-15 23:37:35

Daily Job Search Strategy
Step Action Notes
1️⃣ Apply for 30 jobs/day Use batching: 10 in morning, 10 midday, 10 evening. Use saved searches to speed things up.
2️⃣ Use Google strategically Try "site:careers.company.com job title" or "intitle:job job title location" to find hidden gems.
3️⃣ Save job descriptions as PDFs Use Print → Save as PDF or browser extensions. Organize by folder: Applied/CompanyName/JobTitle.pdf.
4️⃣ Be specific with job titles Search for exact roles like “Cloud Support Engineer” or “DevOps Intern” rather than generic terms.
5️⃣ Use LinkedIn’s “<10 applicants” filter Prioritize these for higher visibility. Combine with “Easy Apply” for speed.
6️⃣ Internships & volunteering Look for open-source projects, nonprofit tech roles, or startup gigs. Experience is experience.
7️⃣ Network intentionally Message alumni, attend virtual meetups, comment on posts. Ask for advice, not jobs.
8️⃣ Tailor your resume Use keywords from the job description. Highlight relevant projects and skills.
9️⃣ Write a compelling cover letter Focus on how you solve problems, not just what you’ve done. Keep it concise and specific.
🔟 Optimize LinkedIn Use a strong headline, detailed experience, and a custom URL. Ask for endorsements.
1️⃣1️⃣ Commit to learning Take short courses, build projects, or write blog posts. Show growth and curiosity.

Setup google alerts with scripts running on topics like new job postings on your favorite companies. Be organized, keep a spreadsheet and do followups 1-2 weeks after apply. Find a recruiter at said company and message them.

Use a spreadsheet or Notion board with columns like:

Company

Job Title

Date Applied

Status (Applied, Interviewing, Rejected)

PDF Link

Notes (e.g., who you networked with)

captureDOM function in snapDOM codebase - part 2

2025-08-15 23:30:00

In this article, we review captureDOM function in snapDOM codebase. This review is split into 2 parts. We will look at:

  1. embedCustomFonts

  2. collectUsedTagNames

  3. generateDedupedBaseCSS

embedCustomFonts

You will find the following code in modules/fonts.js

/**
 * Embeds custom fonts found in the document as data URLs in CSS.
 *
 * @export
 * @param {Object} options
 * @param {boolean} [options.preCached=false] - Whether to use pre-cached resources
 * @returns {Promise<string>} The inlined CSS for custom fonts
 */

export async function embedCustomFonts({preCached = false } = {}) {
 ...
}

collectUsedTagNames

You will find the following code in utils/cssTools.js

/**
 * Collects all unique tag names used in the DOM tree rooted at the given node.
 *
 * @param {Node} root - The root node to search
 * @returns {string[]} Array of unique tag names
 */
export function collectUsedTagNames(root) {
  const tagSet = new Set();
  if (root.nodeType !== Node.ELEMENT_NODE && root.nodeType !== Node.DOCUMENT_FRAGMENT_NODE) {
    return [];
  }
  if (root.tagName) {
    tagSet.add(root.tagName.toLowerCase());
  }
  if (typeof root.querySelectorAll === 'function') {
    root.querySelectorAll("*").forEach(el => tagSet.add(el.tagName.toLowerCase()));
  }
  return Array.from(tagSet);
}

generateDedupedBaseCSS

You will find the following code in utils/cssTools.js.

/**
 * Generates deduplicated base CSS for the given tag names.
 *
 * @param {string[]} usedTagNames - Array of tag names
 * @returns {string} CSS string
 */
export function generateDedupedBaseCSS(usedTagNames) {
  const groups = new Map();

  for (let tagName of usedTagNames) {
    const styles = cache.defaultStyle.get(tagName);
    if (!styles) continue;

    // Creamos la "firma" del bloque CSS para comparar
    const key = Object.entries(styles)
      .map(([k, v]) => `${k}:${v};`)
      .sort()
      .join('');

    // Agrupamos por firma
    if (!groups.has(key)) {
      groups.set(key, []);
    }
    groups.get(key).push(tagName);
  }

  // Ahora generamos el CSS optimizado
  let css = '';
  for (let [styleBlock, tagList] of groups.entries()) {
    css += `${tagList.join(',')} { ${styleBlock} }\n`;
  }

  return css;
}

About me:

Hey, my name is Ramu Narasinga. I study codebase architecture in large open-source projects.

Email: [email protected]

Want to learn from open-source? Solve challenges inspired by open-source projects.

References:

  1. https://github.com/zumerlab/snapdom/blob/main/src/core/capture.js#L28

  2. https://github.com/zumerlab/snapdom/blob/main/src/modules/fonts.js#L94

  3. https://github.com/zumerlab/snapdom/blob/main/src/utils/cssTools.js#L107

  4. https://github.com/zumerlab/snapdom/blob/main/src/utils/cssTools.js#L127

10 Steps to Secure your AWS Infrastructure 🔒☁️

2025-08-15 23:28:58

AWS gives us world class building blocks for security and infrastructure - but the main part is aws won't secure the infrastructure for you unless it is a serverless service.

When we talk about securing AWS service even a simple misconfiguration can cause security breaches.

Let me give you a 10-step checklist to secure your AWS environment.

1. Enable Multi-Factor Authentication (MFA) for all users

Password alone is not enough to protect you AWS environment.
How to implement:

  • Basic thing all know is to enable MFA first for the root account.
  • Use Virtual MFA apps like Google Authenticator or Authy, if your are good with physical MFA which is hassle then go with it.
  • Use IAM policies to enforce MFA.

💡 Pro Tip: Keep root account access locked away — use IAM users for daily work.

2. Use IAM Roles, Not Access Keys

Use IAM roles for AWS services because Long-lived access keys = long-lived risk.
How to implement:

  • Use "IAM roles" for EC2, Lambda, ECS, etc.
  • If access keys are required, rotate them frequently.

💡 Pro Tip: Run aws iam list-access-keys regularly to find and remove unused keys.

3. Apply Least Privilege Access

Give your users what they actually need.
How to implement:

  • Use IAM policies tailored to each role.
  • Avoid AdministratorAccess unless absolutely necessary.

💡 Pro Tip: Use IAM Access Analyzer to review unused permissions.

4. Secure the Root Account

Root has full access to everything — if it’s compromised, it’s game over for your AWS Environment.

How:

  • Enable MFA Step 1.
  • Remove any access keys.
  • Store credentials securely (preferably offline).

5. Restrict Network Access

Publicly exposed resources are at risk to hacker attacks.

How to implement:

  • Use Security Groups to allow only necessary ports.
  • Use Network ACLs for extra filtering.
  • Keep databases in private subnets.

💡 Pro Tip: Use VPC endpoints to have a private access to AWS services.

6. Turn On Logging and Monitoring

Logging makes you to see what is actually happening behind the screens like API calls and more.

How to implement:

  • Enable AWS CloudTrail in all regions.
  • Use CloudWatch Logs for system/application monitoring.
  • Enable S3 Access Logs for buckets.

7. Encrypt Data at Rest and in Transit

Compliance and privacy at least use some AWS default example SSE-S3 encryption and some SSL certificates for Transit encryption.

How to implement:

  • Enable S3 default encryption.
  • Use KMS for managing encryption keys.
  • Use HTTPS everywhere (ACM for free TLS certs).

8. Enable GuardDuty, Inspector, and Security Hub

Automated threat detection saves time and a key player for your secure AWS environment.

How to implement:

  • GuardDuty: Detect suspicious activity.
  • Inspector: Scan EC2 and containers for vulnerabilities.
  • Security Hub: Get a centralized security score.

9. Keep Software and Services Updated

Outdated systems are a security hole.

How to implement:

  • Apply OS patches regularly.
  • Update Lambda runtimes.
  • Rotate RDS SSL/TLS certificates.

10. Use Service Control Policies (SCPs) in AWS Organizations

SCP can prevent dangerous actions at the organization level.

Examples for SCP

  • Block creation of public S3 buckets.
  • Prevent disabling CloudTrail.
  • Restrict certain regions if not in use.

Final Thoughts

AWS isn’t all about “set it and forget it” task — it’s a continuous process were we need to monitor it.

The key point is to make security a built in part of your cloud infrastructure.

🔒 For fresh, do steps 1–4 Steps immediately, then schedule regular reviews for the rest of it.