Monoliths vs. microservices: Changes in a cloud native world and migration strategies.
This talk will explore the key differences between monolithic and microservices architectures, highlighting the benefits and challenges of each. We’ll discuss the specific changes that occur when adopting a cloud-native approach, such as the need for distributed systems, containerization, and orchestration tools like Kubernetes.
Additionally, we’ll dive into practical migration strategies, offering actionable steps for transitioning from monoliths to microservices. Topics covered will include:
>> Understanding Monoliths vs. Microservices: Exploring the architectural differences, use cases, and trade-offs.
>> Challenges in Transition: Addressing technical, cultural, and operational hurdles that organizations face.
>> Migration Strategies: Phased migration, strangler patterns, and managing service dependencies.
>> Best Practices: Key principles for designing and maintaining scalable, cloud-native microservices architectures.
Linux and Containers in Cloud-Native Architectures: Past, Present, and Future
Linux and containers have transformed how we build, deploy, and manage cloud-native applications. From Linux as the backbone of server infrastructure to the rise of containers, these technologies are essential in modern architectures. But where did they originate, and where are they headed?
In this talk, we’ll explore the evolution of Linux and containers, from monolithic servers to microservices and Kubernetes. We’ll discuss how these technologies address key challenges like resource efficiency, scalability, and portability, and how they’ve shaped DevOps practices and application development.
As a Docker Captain using Linux for over four years, I’ll share insights on how these tools have influenced modern software development. We’ll also look at the future of cloud-native tools, including container runtimes like containerd, orchestration with Kubernetes, and service meshes like Istio, and how they build on Linux and containers.
Keep Calm and Secure the Cloud-Native Stack: Tools, Secrets, and Policies
In a cloud-native world, securing applications and infrastructure is more critical than ever. With dynamic environments, distributed systems, and containerized workloads, traditional security methods often fall short. This talk dives into essential security concepts tailored to cloud-native architectures:
Key topics covered include:
Supply Chain Security: Tools like Sigstore for signing and verifying software artifacts.
Container Security: Scanning and runtime protection with tools like Trivy and Falco.
Kubernetes Security: Policies and enforcement using Open Policy Agent (OPA) and Kyverno.
Secrets Management: Best practices and tools like HashiCorp Vault for securing sensitive information.
Observability and Incident Response: Using Prometheus, Grafana, and Loki for detecting and responding to security events.
The talk is ideal for DevOps engineerand security practitioners, looking to navigate the challenges of securing cloud-native applications.
DevOps Best Practices for Production grade Clusters
In this session, we'll demystify the essential DevOps practices needed to effectively manage production-grade clusters. We'll cover key areas like beefing up security measures, ensuring you have clear observability into your system, simplifying cluster upgrades, and automating processes with CI/CD pipelines. Get ready to dive into practical strategies for optimizing your infrastructure for resilience and scalability in real-world production environments.
CI/CD for Cloud-Native Apps: Tools, Challenges, and Best Practices
CI/CD has become essential in modern software development, particularly for cloud-native environments. As applications scale, especially in microservices architectures, the complexities of automating testing, building, and deployment increase. This talk explores how CI/CD pipelines evolve in cloud-native systems, the tools enabling them, and the challenges teams face when implementing these pipelines.
We will dive deep into:
CI/CD Tools: From Jenkins, GitLab CI, and CircleCI to cloud-native solutions like ArgoCD and Tekton.
Processes: How teams integrate development, testing, and deployment in a cloud-native environment to ensure rapid delivery with stability.
Challenges: Scaling CI/CD pipelines, managing dependencies in microservices, security concerns, and maintaining performance as applications grow.
This session will equip you with best practices for implementing efficient pipelines, overcoming common challenges, and selecting the right tools for cloud-native delivery.
AI/ML: Shaping the Future of Cloud Native
This session explores how AI/ML technologies are transforming cloud-native environments. We’ll discuss how AI/ML enhances scalability, automates workflows, and optimizes resource management in cloud-native architectures. Attendees will learn about real-world use cases, key challenges, and future trends, while discovering how to leverage AI/ML for smarter, more efficient cloud-native systems. Join us to understand how AI is shaping the next generation of cloud-native applications and workflows.
- Key Topics include:
- AI/ML integration with cloud-native technologies (e.g., Kubernetes, microservices)
- AI-powered observability and anomaly detection
- Real-world use cases of AI/ML in cloud-native environments
- Challenges of implementing AI/ML in cloud-native systems
- Future trends: Autonomous systems and predictive cloud-native architectures
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