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Sending Emails with Spring Boot, AWS SES, and Serverless Lambda for Scalable Solutions

In the course of developing a Next.js authentication project, I encountered the need to send verification emails. While there are many email-sending services available, most come with subscription fees or limited free-tier plans. To…

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In the course of developing a Next.js authentication project, I encountered the need to send verification emails. While there are many email-sending services available, most come with subscription fees or limited free-tier plans. To maintain control and reduce costs, I decided to build my own email sender using Spring Boot, which provides a powerful framework for Java-based backend development.



Initially, I used Gmail’s SMTP server to send emails. While functional, it lacked the professionalism of domain-specific emails, particularly for production environments. My goal was to send emails using my own domain, hosted on AWS Route 53. This led me to leverage AWS Simple Email Service (SES), which provides an SMTP interface for seamless integration.



In this article, I will outline my journey and provide an overview of the tools and resources I used to implement this solution.






Why AWS SES?



AWS SES stands out as the most cost-effective option, offering the ability to send up to 100,000 emails for just $10, compared to estimated costs of around $8 for 5,000 emails with Bravo or approximately $20 for 75,000 emails with SendGrid. Along with its scalability, reliability, and support for domain-specific emails, AWS SES becomes the ideal choice for transactional and marketing needs. Its superior deliverability rates and seamless integration with other AWS services further enhance its value, making it a robust and budget-friendly solution for businesses aiming to optimize their email campaigns.






Setting Up AWS SES



To use AWS SES, you need an AWS account. Setting up SES involves domain verification and creating an SMTP user. While I won’t cover the full step-by-step process here, I recommend the following YouTube tutorial, which I found incredibly helpful. Additionally, refer to the official AWS documentation for best practices and the most up-to-date setup instructions.



Moving forward his tutorial guided me through:




  1. Verifying my domain in AWS SES.

  2. Configuring DNS records in AWS Route 53 for domain authentication (DKIM and SPF).

  3. Setting up SES in production mode (moving out of the SES sandbox).






Integrating AWS SES with Spring Boot



After setting up AWS SES, the next step was to build an email sender in Spring Boot. For this, I referred to another excellent YouTube tutorial. However, additional documentation can be found here.






Key Steps in Implementation



1.Spring Boot Dependencies

Add the following dependencies to your pom.xml for email functionality:




<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-mail</artifactId>
</dependency>






2.Configuring SMTP Properties

In the application.properties or application.yml, configure the SMTP settings for AWS SES:




spring:
application:
name:
MailSender
mail:
host: email-smtp.<region>.amazonaws.com
port: 587
username: ${mail-username}
password: ${mail-password}
protocol: smtp
properties:
mail:
debug: true
smtp:
auth: true
starttls:
enable: true
required: true







3.Building the Email Service

To handle email sending, I created a service class. For email content, I utilized Mustache templates to design the email in HTML format, making it dynamic and visually appealing. The service simply injects the verification token into the template before sending the email.






Optimizing with AWS Lambda



After successfully implementing the email sender in Spring Boot, I decided to take it further by deploying the service as a Lambda function. Lambda provides serverless capabilities, reducing infrastructure overhead and costs.



Steps to Deploy with AWS Lambda




  1. Base Project
    I referred to the official AWS GitHub repository for serverless Java projects

  2. Deploying with AWS SAM
    Using the Serverless Application Model (SAM) CLI, I packaged and deployed the Lambda function. The setup included an API Gateway with API key-based authentication to secure the endpoint.

  3. Performance Enhancements
    While the initial deployment worked well, I sought to optimize the solution by:




  • Reducing memory consumption.

  • Improving cold start times for faster execution and lower costs.






Next Steps: GraalVM Native Image



To achieve even greater performance, my next goal is to use GraalVM Native Image. This technology compiles Java applications into native executables, eliminating the JVM’s startup time and significantly reducing memory usage. Stay tuned for my next article, where I’ll dive into this optimization and share how it further enhanced my email-sending service.






Conclusion



By integrating AWS SES with Spring Boot and deploying it using AWS Lambda, I built a scalable, cost-efficient email-sending service tailored to my domain-specific needs. This project not only met the immediate requirement of sending verification emails but also provided a learning opportunity in serverless architecture and performance optimization.



If you’re looking to implement a similar solution or have questions, feel free to reach out!

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Remote Code Execution (RCE) Defense
Syntax validiert (0 Fehler)
title: Detect Exploitation - Sending Emails with Spring Boot, AWS SES, and Serverless Lambda for Scalable Solutions
id: fa088a0d-e030-4de8-8929-568792cf2970
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "Sending Emails with Spring Boo" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("Sending Emails with Spring Boot AWS SES ")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*Sending Emails with Spring Boot AWS SES *"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "Sending Emails with Spring Boot AWS SES "
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
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Initial Access
Execution
Persistence
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Privilege Escalation
Defense Evasion
Credential Access
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Discovery
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Lateral Movement
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Collection
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Command and Control
Exfiltration
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Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich Sending Emails with Spring Boot, AWS SES.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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