Infrastructure Report 2025

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CI/CD & DevSecOps

• Description: Automation of build & delivery pipelines, early merging, “everything as code” principle, and integrated security.
• Key Tools: YAML pipelines (GitLab CI, GitHub Actions), static code analysis, scanners (Snyk, Trivy, OWASP ZAP).
• Advantages: Improved repeatability, error reduction, and security throughout the development process.

GitOps

• Description: Manage infrastructure through Git with automatic synchronization between code and environment state.
• Key Tools: Argo CD, Flux CD, Helm combined with GitOps principles.
• Advantages: Transparent change management, reversible updates, and automated rollbacks.

Infrastructure as Code & Configuration Management

• Description: Declarative definitions of infrastructure with versioning and automatic application of changes.
• Key Tools: Terraform (and forks), Pulumi, Ansible, CDK, Kustomize, Crossplane.
• Advantages: Versatility, modular resource management, and minimized manual operations.

Observability & Monitoring

• Description: Comprehensive collection of metrics, logs, traces, and profiling (using techniques like eBPF) for complete system visibility.
• Key Tools: Prometheus, Grafana, OpenTelemetry, Loki, Jaeger, Tempo, various eBPF tools.
• Advantages: Early problem detection, standardized data collection, and deep performance insights.

Resilience & Disaster Recovery

• Description: Design high-availability systems with chaos engineering and develop robust incident recovery plans.
• Key Tools: Chaos Mesh, LitmusChaos, Velero, DR playbooks, replication, backup strategies.
• Advantages: Minimization of downtime, rapid incident response, and enhanced system resilience.

Platform Engineering & Developer Experience

• Description: Build internal platforms that integrate CI/CD, cloud resources, and services, focusing on easing developers’ workload.
• Key Tools: Backstage, deployment templates, self-service tools.
• Advantages: Reduced time-to-market, improved product quality, and streamlined inter-team collaboration.

CI/CD Tools

• Examples: Jenkins, GitLab CI/CD, GitHub Actions, Argo Workflows, Tekton, Spinnaker.
• Pros: Flexibility, deep integration with code repositories, scalability for cloud-native solutions.
• Cons: Legacy systems may require extra administration; some open-source tools have scalability limits.

GitOps Tools

• Examples: Argo CD, Flux CD, Helm with GitOps, Terraform Cloud/Enterprise.
• Pros: Automated deployment, full change transparency, and a single source of truth.
• Cons: Primarily Kubernetes-centric; requires learning specific concepts.

IaC & Configuration Management Tools

• Examples: Terraform (and forks), Pulumi, Ansible, Helm, Kustomize, Crossplane.
• Pros: Universal infrastructure management, modularity, and multi-cloud capabilities.
• Cons: State management challenges, drift detection issues, and licensing limitations (e.g., Terraform BSL).

Monitoring & Observability Tools

• Examples: Prometheus, Grafana, ELK/EFK Stack, Loki, Jaeger, Tempo, OpenTelemetry, Alertmanager.
• Pros: Standardized metrics/logs, flexible visualization, scalable via federation.
• Cons: High resource requirements and complexity in distributed setups.

Platform Solutions & Infrastructure Platforms

Cloud Platforms

• Examples: AWS, Azure, GCP, AWS Outposts, Azure Arc, Google Anthos.
• Key Features: Scalability, managed services, hybrid solutions, multi-cloud architecture.

Container Platforms

• Examples: Kubernetes, OpenShift, Rancher, VMware Tanzu, MicroK8s, K3s.
• Key Features: Orchestration of containers, automated deployments, unified application management.

Hybrid Clouds & Edge Solutions

• Hybrid Clouds: Unified management platforms (e.g., Terraform, VPN/DirectConnect).
• Edge & Multi-cloud: Solutions like KubeEdge, K3s for edge processing, CDN platforms (e.g., Cloudflare Workers).
• Key Features: Unified toolsets for cloud and on-prem, high resilience, and minimal latency for local processing.

Programming Languages, Frameworks & SRE Practices

Programming & Configuration Languages

• Programming: Go (system-level), Python (scripting/automation), Shell, JavaScript/TypeScript, Rust (safety & performance).
• Configuration: YAML (most common), HCL (for Terraform), JSON, CUE (emerging for validation).

Frameworks, Libraries & SRE Practices

• Frameworks & Libraries: AWS/Azure/GCP SDKs, Kubernetes Client Libraries, Terratest, Molecule, OPA, ChatOps bots.
• SRE Practices: Focus on SLO/SLI, error budgets, blameless post-mortems, auto-remediation, and ChatOps.
• Objective: Measure system availability, automate error resolution, and optimize cost by learning from incidents.

Concluding Notes

• Content Strategy: Spread the information over multiple slides to avoid overloading a single slide.
• Presentation Style: Use concise bullet points and expand on details verbally.
• Tip: Adjust slide design and text size for optimal readability on different devices.