Network Segmentation in Public Cloud: Worth It or Overkill?

Introduction

As more companies move their data to the cloud, security becomes a top concern. Network segmentation offers a way to protect sensitive resources by dividing a network into smaller parts. But in a public cloud, is segmentation always the best move, or is it an overreach? Many organizations wonder whether the extra complexity and cost are worth the security benefits. This article digs into the pros and cons of network segmentation in cloud environments to help you decide what makes sense for your organization.

What Is Network Segmentation in Public Cloud?

Definition and Core Concepts

Network segmentation means breaking a large network into smaller, isolated sections. This limits how much an attacker can move if they breach one part. In traditional on-premises settings, segmentation often involved physical firewalls and dedicated hardware. In contrast, in the cloud, it’s mostly about virtual controls like security groups or subnets. The goal remains the same: protect critical data and prevent unauthorized access.

Types of Segmentation Techniques

  • VLANs, Subnets, and Security Groups: These are the building blocks of cloud segmentation. Subnets divide the network logically, while security groups act as virtual firewalls controlling traffic to resources.
  • Micro-segmentation: More granular, this approach isolates individual workloads within a network, often using software-defined policies. Micro-segmentation aims to limit lateral movement of threats even further.

Benefits of Network Segmentation

  • Stronger Security: Segmentation minimizes the chance of a breach spreading across the network.
  • Regulatory Compliance: Many standards like GDPR, HIPAA, or PCI DSS demand strict control over sensitive data.
  • Better Traffic Control: Dividing networks helps optimize performance and prevents congestion.

Why Implement Network Segmentation in Cloud Environments?

Security Enhancement

Segmenting your cloud network isolates critical workloads from less sensitive systems. If an attacker gains access, the damage stays contained, reducing the chance of lateral movement. Segmentation also makes it easier to detect suspicious activity on specific parts of the network.

Regulatory and Compliance Requirements

Organizations often face legal requirements to protect personal and financial data. Standards like HIPAA for health info or PCI DSS for payment data strongly recommend or mandate network segmentation. It simplifies audits and demonstrates your commitment to protecting data.

Operational and Management Benefits

Segmenting your network streamlines management. You can assign access controls more precisely and troubleshoot issues faster. When problems arise, you aren’t hunting through the entire network but focusing on just the affected segment.

Challenges and Considerations: Is Network Segmentation Overkill?

Complexity and Management Overhead

While segmentation boosts security, it also adds complexity. Managing multiple segments and their rules takes time and expertise. A misconfiguration could leave gaps that attackers exploit. Maintaining consistent policies becomes a full-time job, especially in large, dynamic cloud environments.

Cost Implications

Extra tools and skilled staff are needed to set up and maintain segmentation. Cloud providers charge for additional security features, and larger teams increase operational costs. For some, these expenses outweigh the benefits—especially if their threat level is low.

When Segmentation Might Be Less Necessary

If your setup is small or handles non-sensitive data, intensive segmentation might be overkill. Native cloud security controls, like basic firewalls and access policies, can be enough. In these cases, over-segmenting might just add unnecessary complexity.

Real-World Examples and Case Studies

Successful Implementation: Major Enterprises

Big banks and financial institutions rely heavily on network segmentation. For example, they isolate customer data, transaction systems, and internal tools in separate segments. This setup helps them meet strict compliance standards and boosts their security resilience.

Over-Implementation Scenarios

Small startups sometimes overdo segmentation. They overcomplicate their network by creating many segments for features that don’t really need it. This leads to confusion and delays, making their infrastructure harder to manage. Lessons learned show that simplicity often wins in small-scale setups.

Best Practices for Effective Network Segmentation in Public Cloud

Planning and Designing with Security in Mind

Start by identifying your most valuable assets. Do a risk assessment to understand where to focus. Design your segmentation around critical data and applications. Keep it straightforward so you don’t create unnecessary hurdles.

Utilizing Cloud Native Security Features

Take advantage of built-in tools like AWS Security Groups, Azure Network Security Groups, and GCP Firewall Rules. These make setting up segmentation easier and more scalable. Automate your policies through Infrastructure as Code (IaC) to keep management consistent.

Continuous Monitoring and Management

Regularly audit your segmentation rules. Use security analytics tools to spot odd activity early. As threats evolve, your segmentation strategy should adapt too. Ongoing management keeps your network defenses strong without becoming a burden.

Expert Insights and Recommendations

Security pros agree that segmentation is a vital part of a solid cloud security plan. Still, it’s not always necessary to overdo it. Balance your security needs with your resources and risk profile. Focus on protecting your most critical assets first, then expand as needed. Use native cloud tools—they’re designed to grow with you.

Conclusion

Network segmentation offers clear security advantages, but it also introduces complexity and costs. For large, sensitive, and regulated environments, the effort pays off. Smaller or less critical setups might find native controls enough. The key is to balance security with manageability. Start by protecting your most sensitive assets, utilize cloud-native tools, and review your approach regularly. This way, you get the right mix of security and simplicity.

Key Takeaways

  • Network segmentation can greatly boost security but adds complexity.
  • Not every organization needs extensive segmentation—know your risk.
  • Use cloud-native tools for scalable, manageable security policies.
  • Regularly review your segmentation strategy to stay protected.

Protect your cloud environment wisely—segmentation is a tool, not a silver bullet. Use it smartly to keep your data safe without overloading your team.

5 Ways to Make Your Cloud Security Skills Marketable

Introduction

Cloud security is more important now than ever before. As companies move their data and apps to the cloud, the need for skilled security pros grows. The competition for job openings heats up, making it tough to stand out. Those who stay ahead with the right skills will have better chances at landing top roles. The cloud security market is booming, and sharpening your skills can open new doors. This article dives into five practical methods to boost your cloud security profile and get noticed by employers.

Understand the Current Cloud Security Landscape

The Growing Demand for Cloud Security Professionals

The number of cloud security jobs is climbing fast. According to recent reports, demand for these roles has increased by over 30% in the last two years. Major data breaches, like those at big companies, push organizations to stay vigilant. These incidents make cloud security a top focus. Job sites like LinkedIn and Indeed show thousands of openings, proving this shift. If you want to scale your career, knowing the latest needs and trends is key.

Key Cloud Platforms and Tools to Master

Big players like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud lead the market. Each platform offers its own security tools. For example, AWS Security Hub or Azure Security Center help monitor risks. Being familiar with several platforms gives you an edge. Employers like candidates who can handle different environments, not just one cloud service. Knowing the core tools inside these platforms boosts your tech cred and versatility.

Develop In-Demand Cloud Security Skills

Core Cloud Security Competencies

Solid skills in identity management, data encryption, network security, and threat detection matter. Understanding how to respond to incidents is also crucial. To sharpen these skills, aim for certifications like CISSP, CCSK, or cloud-specific ones. These credentials prove you know what you’re doing. They also give you the confidence to tackle complex security challenges.

Hands-On Practical Experience

Reading alone isn’t enough. Get your hands dirty with real-world projects, labs, or simulations. Participate in cloud security challenges or Capture The Flag (CTF) contests to test your skills. Even better, use free tiers from cloud providers for practice. Doing so helps you learn faster and builds a practical portfolio that impresses recruiters.

Keep Up with Evolving Threats and Best Practices

Cyber threats change all the time. Stay current by reading industry reports or blogs like Cloud Security Alliance or Gartner. Join webinars, attend workshops, and go to conferences to learn new tactics. The more you stay in the loop, the better you’ll be at protecting systems from today’s risks.

Obtain Relevant Certifications to Boost Credibility

Industry-Recognized Cloud Security Certifications

Certifications act like badges of honor. They show employers you are serious and skilled. Top options include AWS Certified Security – Specialty, Google Cloud Security Engineer, and Azure Security Engineer Associate. These credentials often lead to higher salaries and better job prospects. They also validate your knowledge to bosses and clients alike.

Tips for Certification Success

Prepare with official guides, online courses, or study groups. Use hands-on labs so you get real practice. Practice exams help you gauge your readiness. Remember, certifications need renewal, so keep learning to stay up-to-date and maintain your edge.

Build a Strong Professional Network

Engage with Cloud Security Communities

Join groups like (ISC)² or the Cloud Security Alliance. Attend local meetups if possible. Participate in online forums on Reddit, Stack Overflow, and LinkedIn. Connecting with others helps you learn new tricks and find job leads. Building relationships can open doors you didn’t even expect.

Leverage Social Media and Personal Branding

Share your thoughts, write concise blog posts, or contribute to open-source projects. Posting regularly keeps you on top of industry minds. Following thought leaders and recruiters on LinkedIn increases your visibility. Showcasing your expertise attracts opportunities.

Gain Mentorship and Collaborations

Find mentors through professional groups. Their experience guides you through tough challenges. Collaborate on projects or research that showcase your skills. These connections and collaborations enhance your reputation and expand your knowledge.

Gain Real-World Experience Through Projects and Volunteering

Contribute to Open-Source Cloud Security Tools

Many tools on GitHub seek skilled contributors. Pick projects related to cloud security. Your contributions add to your skills and raise your profile. It’s a practical way to learn and network at the same time.

Volunteer for Security Audits or Advisory Roles

Help nonprofits or startups that can’t afford full-time security teams. Volunteering offers hands-on experience you can’t get elsewhere. You learn to face real security issues head-on and build a diverse portfolio.

Document and Showcase Your Work

Create a portfolio site or blog detailing your projects and solutions. Use real-world case studies to tell your story. Showing how you identified and fixed issues proves your problem-solving skills. This documentation makes you more attractive to hiring managers.

Conclusion

Getting ahead in cloud security means mastering essential platforms, sharpening core skills, earning certifications, and building your network. Practical experience is just as important. Keep learning and stay curious about new threats and tools. Your proactive approach will set you apart in this competitive market. The more you invest in your growth, the more doors open for your career. In this fast-changing field, staying adaptable and eager to learn is your greatest strength. Make your skills stand out, and your next opportunity is just around the corner.

Read this post for the best certifications to seek: https://cloudseclabs.com/top-cloud-security-certifications/

Top Cloud Security Certifications for 2025

Certified Cloud Security Professional (CCSP)

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The first one we will cover is the Certified Cloud Security Professional (CCSP) certification, developed by (ISC)², affirms expertise in securing cloud environments across public, private, hybrid, and multi-cloud architectures. It is a vendor-neutral credential that emphasizes best practices in cloud governance, data protection, and risk management.

CCSP is suited for professionals who design, implement, or oversee security in cloud platforms like AWS, Microsoft Azure, and Google Cloud, with a strong emphasis on regulatory compliance and architectural rigor.

What the Certification Covers

The CCSP exam assesses knowledge across six domains:

  1. Cloud Concepts, Architecture, and Design
    Foundational cloud principles, service models, and secure architecture design.
  2. Cloud Data Security
    Methods for protecting cloud-hosted data, including classification, access control, and encryption.
  3. Cloud Platform and Infrastructure Security
    Security strategies for virtualized platforms, network protections, and host hardening.
  4. Cloud Application Security
    Secure software development practices and API protection strategies.
  5. Cloud Security Operations
    Monitoring, incident response, and disaster recovery in dynamic cloud environments.
  6. Legal, Risk, and Compliance
    Understanding regional laws, contractual obligations, and compliance frameworks such as GDPR or ISO/IEC 27017.

Recommended Experience

Candidates should have at least five years of cumulative paid work experience in information technology, with three of those years in information security and one year in cloud security. Individuals without the full experience may earn the title Associate of (ISC)² after passing the exam and accrue experience over time.

Exam Details

The CCSP exam consists of 125 multiple-choice questions and allows up to four hours for completion. It costs approximately $599 USD and is available in English and other selected languages. Once earned, the certification is valid for three years, with continuing education credits required for renewal.

Career Relevance

CCSP supports roles such as Cloud Security Architect, Risk and Compliance Analyst, Security Consultant, and Cloud Governance Lead. It is especially beneficial for professionals working across multiple cloud platforms or in highly regulated industries seeking a broad security foundation.

AWS Certified Security – Specialty

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Next, we have the AWS Certified Security – Specialty certification validates expertise in securing complex AWS workloads. It focuses on deep technical skills in implementing security best practices using native AWS tools and services.

This certification is aimed at professionals who manage cloud security architectures, perform risk analysis, and ensure compliance in environments built on Amazon Web Services.

What the Certification Covers

The exam evaluates five core areas:

  1. Incident Response
    Handling security events using AWS-native services and automated detection techniques.
  2. Logging and Monitoring
    Utilizing tools like CloudTrail, GuardDuty, CloudWatch, and AWS Config to track and audit changes.
  3. Infrastructure Security
    Designing secure networks with Virtual Private Clouds (VPCs), configuring firewalls and protecting endpoints.
  4. Identity and Access Management (IAM)
    Creating secure authentication workflows, managing roles and permissions, and applying least-privilege principles.
  5. Data Protection
    Encrypting data using AWS Key Management Service (KMS), Secrets Manager, and related tools for securing sensitive information.

Recommended Experience

Candidates should have at least five years of IT security experience and a minimum of two years working with AWS environments. Hands-on familiarity with AWS security services and a solid understanding of the shared responsibility model are essential.

Exam Details

The exam consists of 65 multiple-choice and multiple-response questions. Test takers have up to 170 minutes to complete it. The certification costs around $300 USD and is valid for three years. Languages offered include English, Japanese, Korean, Brazilian Portuguese, Simplified Chinese, and Spanish for Latin America.

Career Relevance

This certification is suited for roles such as Cloud Security Engineer, DevSecOps Specialist, Security Architect, and Compliance Analyst—especially in organizations that heavily rely on AWS infrastructure or operate under strict regulatory requirements.

Microsoft Certified: Azure Security Engineer Associate

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The Microsoft Certified: Azure Security Engineer Associate certification validates expertise in securing Azure cloud environments. It focuses on implementing security controls, managing identity and access, and protecting data, applications, and networks across hybrid and multi-cloud infrastructures.

This certification is designed for professionals who monitor and maintain an organization’s security posture using tools like Microsoft Defender for Cloud, Microsoft Sentinel, and Azure Policy.

What the Certification Covers

The exam evaluates skills across four core domains:

  1. Manage Identity and Access
    Configure Azure Active Directory (Entra ID), implement Conditional Access policies, and manage authentication methods.
  2. Implement Platform Protection
    Secure virtual networks, configure firewalls and network security groups, and protect compute resources.
  3. Manage Security Operations
    Monitor threats using Microsoft Sentinel and Defender for Cloud, configure alerts, and automate incident response.
  4. Secure Data and Applications
    Apply encryption, manage secrets and certificates with Azure Key Vault, and enforce data protection policies.

Recommended Experience

Candidates should have hands-on experience administering Azure environments and a solid understanding of networking, virtualization, and cloud architecture. Familiarity with scripting, automation, and Microsoft Entra ID is also recommended. While there are no formal prerequisites, completing the Azure Fundamentals (AZ-900) or Azure Administrator Associate (AZ-104) certifications can provide a helpful foundation.

Exam Details

The certification is earned by passing Exam AZ-500: Microsoft Azure Security Technologies. The exam includes multiple-choice, drag-and-drop, and case study questions. It lasts approximately 100–170 minutes and costs around $165 USD. The certification is valid for one year and can be renewed online at no cost.

Career Relevance

This certification supports roles such as Azure Security Engineer, Cloud Security Analyst, and Infrastructure Security Specialist. It’s especially valuable for professionals working in enterprise or regulated environments that rely heavily on Microsoft Azure.

Here’s a clean, informational overview of the Google Professional Cloud Security Engineer certification, styled to match your previous entries:

Google Professional Cloud Security Engineer

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The Google Professional Cloud Security Engineer certification validates the ability to design and implement secure infrastructure on Google Cloud. It focuses on configuring access, securing data, managing operations, and ensuring compliance using Google’s native security technologies.

This certification is ideal for professionals responsible for protecting cloud-based workloads, enforcing governance policies, and responding to threats in Google Cloud environments.

What the Certification Covers

The exam evaluates skills across five core domains:

  1. Configuring Access
    Managing IAM roles, service accounts, and resource hierarchies to enforce least-privilege access.
  2. Securing Communications and Boundary Protection
    Implementing firewalls, VPC Service Controls, Cloud Armor, and private connectivity.
  3. Ensuring Data Protection
    Applying encryption at rest and in transit, managing secrets, and securing AI/ML workloads.
  4. Managing Operations
    Monitoring logs, detecting incidents, automating responses, and maintaining security posture.
  5. Supporting Compliance Requirements
    Mapping controls to frameworks like PCI and HIPAA, using Assured Workloads and Access Transparency.

Recommended Experience

While there are no formal prerequisites, Google recommends at least three years of industry experience, including one year designing and managing solutions on Google Cloud. Familiarity with IAM, VPC architecture, encryption, and security automation is essential.

Exam Details

The exam consists of 50–60 multiple-choice and multiple-select questions. Candidates have 120 minutes to complete it. The certification costs $200 USD (plus tax) and is available in English and Japanese. It is valid for two years and must be renewed by retaking the exam before expiration.

Career Relevance

This certification supports roles such as Cloud Security Engineer, DevSecOps Specialist, Site Reliability Engineer (SRE), and Compliance Analyst. It’s especially valuable for professionals working in Google Cloud environments with high security and regulatory demands.

Certificate of Cloud Security Knowledge (CCSK)

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The last certificate we will cover is the Certificate of Cloud Security Knowledge (CCSK), developed by the Cloud Security Alliance (CSA), is a vendor-neutral credential that validates foundational and practical expertise in cloud security. It emphasizes governance, architecture, risk management, and emerging technologies across diverse cloud environments.

CCSK is often considered a stepping stone to more advanced certifications like CCSP and is widely recognized across industries for its comprehensive coverage of cloud security principles.

What the Certification Covers

The CCSK exam is based on two core documents: the CSA Security Guidance v5 and the CSA Cloud Controls Matrix (CCM). It covers 12 domains:

  1. Cloud Architecture and Concepts
    Core cloud models, deployment types, and architectural principles.
  2. Governance and Risk Management
    Organizational security, risk frameworks, and policy development.
  3. Legal and Compliance
    Regulatory requirements, contracts, and jurisdictional considerations.
  4. Data Security and Encryption
    Protecting data at rest, in transit, and in use across cloud platforms.
  5. Identity and Access Management (IAM)
    Authentication, authorization, and entitlement strategies.
  6. Infrastructure and Virtualization Security
    Securing compute, storage, containers, and serverless workloads.
  7. Application Security
    Secure development lifecycle, API protection, and DevSecOps practices.
  8. Security Operations
    Monitoring, logging, incident response, and business continuity.
  9. Emerging Technologies
    Coverage of AI, telemetry, and cloud-native security tools.
  10. Cloud Workload Security
    Strategies for securing dynamic and distributed workloads.
  11. Zero Trust Architecture
    Integrated Zero Trust principles across cloud domains.
  12. Cloud Security Governance Tools
    Use of CCM, CAIQ, and STAR Registry for assurance and auditing.

Recommended Experience

There are no formal prerequisites, making CCSK accessible to both newcomers and experienced professionals. However, familiarity with cloud computing, cybersecurity fundamentals, and risk management concepts is strongly recommended for success.

Exam Details

The CCSK exam is open-book and consists of 60 multiple-choice questions. Candidates have 90 minutes to complete it. The cost is $445 USD and includes two attempts. The certification does not expire, though professionals are encouraged to stay current with CSA updates and evolving cloud practices.

Career Relevance

CCSK supports roles such as Cloud Security Analyst, Compliance Officer, Security Consultant, and DevSecOps Engineer. It’s especially useful for professionals working in multi-cloud or hybrid environments, or those seeking a broad, standards-based understanding of cloud security.

[disclosure]

Read our post for 5 Ways to make yourself more marketable: 5 Ways to Make Your Cloud Security Skills Marketable | Cloud | Sec | Labs

Critical NVIDIA Container Toolkit Flaw Allows Privilege Escalation on AI Cloud Services

Cybersecurity researchers have disclosed a critical container escape vulnerability in the NVIDIA Container Toolkit that could pose a severe threat to managed AI cloud services.
The vulnerability, tracked as CVE-2025-23266, carries a CVSS score of 9.0 out of 10.0. It has been codenamed NVIDIAScape by Google-owned cloud security company Wiz.
“NVIDIA Container Toolkit for all platforms contains a

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Veeam Phishing via Wav File, (Fri, Jul 18th)

A interesting phishing attempt was reported by a contact. It started with a simple email that looked like a voice mail notification like many VoIP systems deliver when the call is missed. There was a WAV file attached to the mail[1].

Here is a transcript of the recording:

"Hi, this is xxxx from Veeam Software. I'm calling you today regarding … <not clear> … your backup license which has expired this month. Would you please give me a call to discuss about it?"

This was not targeted because the person who received the mail was not involved with Veeam (or any IT environment). Did you receive such emails recently or in the past?

[1] https://blog.rootshell.be/stuff/veeam-voicemsg.wav

Xavier Mertens (@xme)
Xamecosys
Senior ISC Handler – Freelance Cyber Security Consultant
PGP Key

(c) SANS Internet Storm Center. https://isc.sans.edu Creative Commons Attribution-Noncommercial 3.0 United States License.

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Simplify serverless development with console to IDE and remote debugging for AWS Lambda

Today, we’re announcing two significant enhancements to AWS Lambda that make it easier than ever for developers to build and debug serverless applications in their local development environments: console to IDE integration and remote debugging. These new capabilities build upon our recent improvements to the Lambda development experience, including the enhanced in-console editing experience and the improved local integrated development environment (IDE) experience launched in late 2024.

When building serverless applications, developers typically focus on two areas to streamline their workflow: local development environment setup and cloud debugging capabilities. While developers can bring functions from the console to their IDE, they’re looking for ways to make this process more efficient. Additionally, as functions interact with various AWS services in the cloud, developers want enhanced debugging capabilities to identify and resolve issues earlier in the development cycle, reducing their reliance on local emulation and helping them optimize their development workflow.

Console to IDE integration

To address the first challenge, we’re introducing console to IDE integration, which streamlines the workflow from the AWS Management Console to Visual Studio Code (VS Code). This new capability adds an Open in Visual Studio Code button to the Lambda console, enabling developers to quickly move from viewing their function in the browser to editing it in their IDE, eliminating the time-consuming setup process for local development environments.

The console to IDE integration automatically handles the setup process, checking for VS Code installation and the AWS Toolkit for VS Code. For developers that have everything already configured, choosing the button immediately opens their function code in VS Code, so they can continue editing and deploy changes back to Lambda in seconds. If VS Code isn’t installed, it directs developers to the download page, and if the AWS Toolkit is missing, it prompts for installation.

To use console to IDE, look for the Open in VS Code button in either the Getting Started popup after creating a new function or the Code tab of existing Lambda functions. After selecting, VS Code opens automatically (installing AWS Toolkit if needed). Unlike the console environment, you now have access to a full development environment with integrated terminal – a significant improvement for developers who need to manage packages (npm install, pip install), run tests, or use development tools like linters and formatters. You can edit code, add new files/folders, and any changes you make will trigger an automatic deploy prompt. When you choose to deploy, the AWS Toolkit automatically deploys your function to your AWS account.

Screenshot showing Console to IDE

Remote debugging

Once developers have their functions in their IDE, they can use remote debugging to debug Lambda functions deployed in their AWS account directly from VS Code. The key benefit of remote debugging is that it allows developers to debug functions running in the cloud while integrated with other AWS services, enabling faster and more reliable development.

With remote debugging, developers can debug their functions with complete access to Amazon Virtual Private Cloud (VPC) resources and AWS Identity and Access Management (AWS IAM) roles, eliminating the gap between local development and cloud execution. For example, when debugging a Lambda function that interacts with an Amazon Relational Database Service (Amazon RDS) database in a VPC, developers can now debug the execution environment of the function running in the cloud within seconds, rather than spending time setting up a local environment that might not match production.

Getting started with remote debugging is straightforward. Developers can select a Lambda function in VS Code and enable debugging in seconds. AWS Toolkit for VS Code automatically downloads the function code, establishes a secure debugging connection, and enables breakpoint setting. When debugging is complete, AWS Toolkit for VS Code automatically cleans up the debugging configuration to prevent any impact on production traffic.

Let’s try it out

To take remote debugging for a spin, I chose to start with a basic “hello world” example function, written in Python. I had previously created the function using the AWS Management Console for AWS Lambda. Using the AWS Toolkit for VS Code, I can navigate to my function in the Explorer pane. Hovering over my function, I can right-click (ctrl-click in Windows) to download the code to my local machine to edit the code in my IDE. Saving the file will ask me to decide if I want to deploy the latest changes to Lambda.

Screenshot view of the Lambda Debugger in VS Code

From here, I can select the play icon to open the Remote invoke configuration page for my function. This dialog will now display a Remote debugging option, which I configure to point at my local copy of my function handler code. Before choosing Remote invoke, I can set breakpoints on the left anywhere I want my code to pause for inspection.

My code will be running in the cloud after it’s invoked, and I can monitor its status in real time in VS Code. In the following screenshot, you can see I’ve set a breakpoint at the print statement. My function will pause execution at this point in my code, and I can inspect things like local variable values before either continuing to the next breakpoint or stepping into the code line by line.

Here, you can see that I’ve chosen to step into the code, and as I go through it line by line, I can see the context and local and global variables displayed on the left side of the IDE. Additionally, I can follow the logs in the Output tab at the bottom of the IDE. As I step through, I’ll see any log messages or output messages from the execution of my function in real time.

Enhanced development workflow

These new capabilities work together to create a more streamlined development experience. Developers can start in the console, quickly transition to VS Code using the console to IDE integration, and then use remote debugging to debug their functions running in the cloud. This workflow eliminates the need to switch between multiple tools and environments, helping developers identify and fix issues faster.

Console to IDE is available for all Lambda runtimes, at no additional cost. Remote debugging will support Python, Node.js, and Java runtimes at launch, with plans to expand support to additional runtimes in the future. Remote debugging is available at no additional cost—you pay only for the standard Lambda execution costs during debugging sessions.

Now available

You can start using these new features through the AWS Management Console and VS Code with the AWS Toolkit for VS Code (v3.69.0 or later) installed. Console to IDE integration is available in all commercial AWS Regions where Lambda is available, except AWS GovCloud (US) Regions. Learn more about it in Lambda and AWS Toolkit for VS Code documentation. To learn more about remote debugging capability, including AWS Regions it is available in, visit the AWS Toolkit for VS Code and Lambda documentation.

These enhancements represent a significant step forward in simplifying the serverless development experience, which means developers can build and debug Lambda functions more efficiently than ever before.

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AWS AI League: Learn, innovate, and compete in our new ultimate AI showdown

Since 2018, AWS DeepRacer has engaged over 560,000 builders worldwide, demonstrating that developers learn and grow through competitive experiences. Today, we’re excited to expand into the generative AI era with AWS Artificial Intelligence (AI) League.

This is a unique competitive experience – your chance to dive deep into generative AI regardless of your skill level, compete with peers, and build solutions that solve actual business problems through an engaging, competitive experience.

With AWS AI League, your organization hosts private tournaments where teams collaborate and compete to solve real-world business use cases using practical AI skills. Participants craft effective prompts and fine-tune models while building powerful generative AI solutions relevant for their business. Throughout the competition, participants’ solutions are evaluated against reference standards on a real-time leaderboard that tracks performance based on accuracy and latency.

The AWS AI League experience starts with a 2-hour hands-on workshop led by AWS experts. This is followed by self-paced experimentation, culminating in a gameshow-style grand finale where participants showcase their generative AI creations addressing business challenges. Organizations can set up their own AWS AI League within half a day. The scalable design supports 500 to 5,000 employees while maintaining the same efficient timeline.

Supported by up to $2 million in AWS credits and a $25,000 championship prize pool at AWS re:Invent 2025, the program provides a unique opportunity to solve real business challenges.

AWS AI League transforms how organizations develop generative AI capabilities
AWS AI League transforms how organizations develop generative AI capabilities by combining hands-on skills development, domain expertise, and gamification. This approach makes AI learning accessible and engaging for all skill levels. Teams collaborate through industry-specific challenges that mirror real organizational needs, with each challenge providing reference datasets and evaluation standards that reflect actual business requirements.

  • Customizable industry-specific challenges – Tailor competitions to your specific business context. Healthcare teams work on patient discharge summaries, financial services focus on fraud detection, and media companies develop content creation solutions.
  • Integrated AWS AI stack experience – Participants gain hands-on experience with AWS AI and ML tools, including Amazon SageMaker AI, Amazon Bedrock, and Amazon Nova, accessible from Amazon SageMaker Unified Studio. Teams work through a secure, cost-controlled environment within their organization’s AWS account.
  • Real-time performance tracking – The leaderboard evaluates submissions against established benchmarks and reference standards throughout the competition, providing immediate feedback on accuracy and speed so teams can iterate and improve their solutions. During the final round, this scoring includes expert evaluation where domain experts and a live audience participate in real-time voting to determine which AI solutions best solve real business challenges.

  • AWS AI League offers two foundational competition tracks:
    • Prompt Sage – The Ultimate Prompt Battle – Race to craft the perfect AI prompts that unlock breakthrough solutions. whether you detect financial fraud or streamlining healthcare workflows, every word counts as they climb the leaderboard using zero-shot learning and chain-of-thought reasoning.
    • Tune Whiz – The Model Mastery Showdown – Generic AI models meet their match as you sculpt them into industry-specific powerhouses. Armed with your domain expertise and specialized questions, competitors fine-tune models that speak your business language fluently. Victory goes to who achieve the perfect balance of blazing performance, lightning efficiency, and cost optimization.

As Generative AI continues to evolve, AWS AI League will regularly introduce new challenges and formats in addition to these tracks.

Get started today
Ready to get started? Organizations can host private competitions by applying through the AWS AI League page. Individual developers can join public competitions at AWS Summits and AWS re:Invent.

PS: Writing a blog post at AWS is always a team effort, even when you see only one name under the post title. In this case, I want to thank Natasya Idries, for her generous help with technical guidance, and expertise, which made this overview possible and comprehensive.

— Eli

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