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Service Mesh and Microservices Security

Build a strong foundation in securing and operating microservices communication using a Kubernetes service mesh, from mTLS fundamentals to zero trust policies. Learn how to apply service identity, encrypted traffic, authorization controls, safe rollout strategies, and resilience patterns with observability-driven troubleshooting in real-world environments.

Duration:
3 days
Rating:
4.8/5.0
Level:
Advanced
1500+ users onboarded

Who will Benefit from this Training?

  • Platform Engineers
  • DevOps Engineers
  • SRE Teams
  • Kubernetes Engineers
  • Cloud Engineers running microservices
  • Security engineers working with Kubernetes environments
  • Architects designing microservices platforms

Training Objectives

  • Understand what a service mesh is and why it is needed in microservices environments.
  • Explain the problems a service mesh solves: secure service-to-service communication, traffic control, observability, and policy enforcement.
  • Understand service mesh architecture including data plane vs control plane, sidecar proxy model, service identity, and mTLS.
  • Implement mTLS for encrypted and authenticated microservices communication.
  • Apply microservices security fundamentals: zero trust inside clusters, least privilege access, and strong authentication between services.
  • Implement traffic management policies including routing rules, retries, timeouts, and circuit breaker concepts.
  • Apply resilience patterns using the mesh including fault injection and rate limiting concepts.
  • Integrate observability using service-to-service metrics, tracing concepts, and dependency visualization.
  • Apply best practices for operating a mesh in production including onboarding, upgrades, failure modes, and overhead awareness.
  • Deliver a capstone service mesh deployment with security policies enabled.

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Key training modules

Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
  • Module 1: Service Mesh Fundamentals (Why It Exists)
    1. What a service mesh is and where it fits in cloud-native architecture
    2. Why microservices need a mesh (security, traffic control, observability, policy)
    3. What a mesh is not (avoid confusion with API gateways and ingress)
    4. Common use cases in enterprises (compliance, multi-team reliability, zero trust)
    5. Hands-on: Activity: Identify which problems in a microservices system require a mesh vs native Kubernetes features
  • Module 2: Problems a Service Mesh Solves (Security, Traffic, Observability, Policy)
    1. Secure service-to-service communication as a default requirement
    2. Traffic control without changing application code
    3. Observability for service interactions (latency, errors, dependencies)
    4. Policy enforcement and governance across teams
    5. Hands-on: Workshop: Map a sample microservices architecture to mesh capabilities and outcomes
  • Module 3: Service Mesh Architecture (Data Plane vs Control Plane)
    1. Data plane vs control plane responsibilities
    2. Sidecar proxy model and traffic interception concepts
    3. Service identity and workload authentication concepts
    4. mTLS fundamentals (cert issuance, rotation concepts)
    5. Hands-on: Lab: Deploy a mesh and inspect sidecars, listeners, and workload identity signals
  • Module 4: mTLS Implementation (Encryption and Authentication Between Services)
    1. mTLS modes (permissive vs strict concepts)
    2. Certificate management and rotation awareness
    3. Enforcing encrypted in-cluster traffic
    4. Validating mTLS status and troubleshooting common issues
    5. Hands-on: Lab: Enable mTLS for a microservices app and verify encrypted and authenticated traffic
  • Module 5: Microservices Security Fundamentals with the Mesh (Zero Trust and Least Privilege)
    1. Zero trust inside clusters and why it matters
    2. Least privilege access patterns (service-to-service authorization concepts)
    3. Strong authentication between services using service identity
    4. Policy design patterns (allowlists, deny-by-default concepts)
    5. Hands-on: Lab: Apply authorization policies to restrict which services can call each other
  • Module 6: Traffic Management Policies (Routing, Retries, Timeouts, Circuit Breakers)
    1. Traffic routing rules (version routing, canary concepts)
    2. Retries and timeouts and their impact on reliability
    3. Circuit breaker concepts and outlier detection patterns
    4. Safe rollout patterns using mesh traffic control
    5. Hands-on: Lab: Implement routing + retries + timeouts and validate behavior under failure
  • Module 7: Resilience Patterns in the Mesh (Fault Injection and Rate Limiting)
    1. Fault injection concepts (delay, abort) for testing resilience
    2. Rate limiting concepts (protect upstream dependencies)
    3. Load shedding and backpressure awareness
    4. Chaos testing practices for microservices with the mesh
    5. Hands-on: Lab: Inject faults and validate that resilience controls reduce impact and improve stability
  • Module 8: Observability with Service Mesh (Metrics, Tracing, Dependency Views)
    1. Service-to-service metrics (latency, error rate, traffic volume)
    2. Distributed tracing concepts and correlation across services
    3. Dependency visualization and service graph interpretation
    4. Golden signals and alerting concepts for service interactions
    5. Hands-on: Lab: Visualize dependencies and troubleshoot an incident using mesh telemetry signals
  • Module 9: Operating a Mesh in Production (Onboarding, Upgrades, Failure Modes)
    1. Workload onboarding patterns (namespace labeling, gradual adoption)
    2. Overhead awareness (latency, CPU/memory, scaling impacts)
    3. Upgrade strategies and compatibility considerations
    4. Common failure modes (cert issues, sidecar injection problems, policy breakages)
    5. Hands-on: Lab: Perform a safe onboarding and simulate a failure mode to practice recovery
  • Module 10: Capstone Project (Service Mesh Deployment with Security Policies)
    1. Capstone goal: Deliver a secured microservices deployment using a service mesh
    2. Deploy a multi-service application and onboard it to the mesh
    3. Enable and enforce mTLS across services
    4. Apply least privilege authorization policies and validate access boundaries
    5. Implement traffic controls (retries/timeouts) and add an observability view
    6. Hands-on: Capstone Lab: Demo secure communication, controlled routing, and t

Hands-on Experience with Tools

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Training Delivery Format

Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
100% Live
on-site/online training
Hands-on
Labs and capstone projects
Lifetime Access
to training material and sessions

How Does Personalised Training Work?

Skill-Gap Assessment

Analysing skill gap and assessing business requirements to craft a unique program

1

Personalisation

Customising curriculum and projects to prepare your team for challenges within your industry

2

Implementation

Supplementing training with consulting support to ensure implementation in real projects

3

  • Stronger internal security (Zero Trust): Encrypt and authenticate every service call using mTLS.
  • Reduced blast radius: Authorization policies stop lateral movement across services.
  • Consistent security enforcement: Shift security controls from application code to platform policies.
  • Better reliability and controlled rollouts: Traffic rules enable safer releases and faster rollback.
  • Improved observability: Service-level visibility accelerates troubleshooting and reduces downtime.

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Frequently Asked Questions

1. What are the pre-requisites for this training?
Faq PlusFaq Minus

The training does not require you to have prior skills or experience. The curriculum covers basics and progresses towards advanced topics.

2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.

3. What is your mode of delivery - online or on-site?
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We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.

4. Will trainees get certified?
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Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.

5. What do we do if we need further support after the training?
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We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.

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