Important
....
| Topic | Description | Key Concepts | Tools/Practices | Use Cases |
|---|---|---|---|---|
| 1. DevSecOps Basics | Integration of security practices within the DevOps pipeline. | Shift-Left Security, Continuous Integration/Continuous Deployment (CI/CD) | CI/CD Pipelines, Security as Code | Secure software development, Early vulnerability detection |
| 2. Threat Modeling | Identifying potential security threats and vulnerabilities in the early stages of development. | Attack Vectors, Mitigation Strategies | OWASP Threat Dragon, Microsoft Threat Modeling Tool | Risk assessment, Security planning |
| 3. Security Automation | Automating security tasks to integrate seamlessly into the CI/CD pipeline. | Automated Testing, Security Gates, Compliance as Code | Jenkins, GitLab CI, SonarQube, Checkmarx | Continuous security validation, Compliance enforcement |
| 4. Vulnerability Management | Identifying, assessing, and mitigating vulnerabilities in code and infrastructure. | Vulnerability Scanning, Patching, CVEs | Snyk, Trivy, OpenVAS, Nessus | Vulnerability detection, Patch management |
| 5. Secure Coding Practices | Writing code with security considerations to prevent vulnerabilities. | Input Validation, Error Handling, Authentication | OWASP Top Ten, Static Code Analysis (SAST) | Secure software development, Code quality improvement |
| 6. Infrastructure as Code (IaC) Security | Managing and securing infrastructure through code, ensuring compliance and reducing risks. | IaC Tools (Terraform, Ansible), Policy Enforcement | Terraform, Ansible, AWS CloudFormation, Checkov | Automated infrastructure management, Policy enforcement |
| 7. Container Security | Ensuring the security of containerized applications and their environments. | Image Scanning, Runtime Security, Least Privilege | Docker, Kubernetes, Aqua Security, Falco | Secure container deployments, Runtime protection |
| 8. Continuous Monitoring | Ongoing monitoring of applications and infrastructure for security threats. | Real-time Monitoring, Anomaly Detection, Alerting | Prometheus, Grafana, ELK Stack, Splunk | Threat detection, Incident response |
| 9. Compliance and Governance | Ensuring that security policies and standards are adhered to throughout the development lifecycle. | Regulatory Compliance (GDPR, HIPAA), Auditing | Open Policy Agent (OPA), Chef InSpec, Compliance as Code | Regulatory compliance, Policy enforcement |
| 10. Incident Response | Processes and tools for responding to and managing security incidents. | Incident Detection, Mitigation, Post-Incident Analysis | Incident Management Plan, SIEM, PagerDuty, Splunk | Incident management, Mitigation strategies |
Note
...
| Topic | Description | Key Concepts | Protocols/Technologies | Use Cases |
|---|---|---|---|---|
| 1. OSI Model | Framework to understand network communication layers. | 7 Layers: Physical, Data Link, Network, Transport, Session, Presentation, Application | TCP/IP, Ethernet, PPP | Network design, Troubleshooting |
| 2. IP Addressing | Method of assigning unique addresses to devices on a network. | IPv4, IPv6, Subnetting, CIDR | DHCP, ARP, NAT | Routing, Address assignment |
| 3. Routing & Switching | Directing data packets between networks (Routing) and within a network (Switching). | Static & Dynamic Routing, VLANs, Trunking | OSPF, BGP, RIP, STP, VTP | Internet routing, Network segmentation |
| 4. TCP/IP Protocol Suite | Set of communication protocols used for the Internet and similar networks. | TCP, UDP, IP, ICMP, HTTP, FTP | IPv4, IPv6, ARP, DNS | Web browsing, File transfer, Email |
| 5. Network Security | Measures to protect the integrity, confidentiality, and availability of data. | Firewalls, Encryption, VPNs, IDS/IPS | SSL/TLS, IPsec, SSH, WPA/WPA2 | Secure communications, Access control |
| 6. Wireless Networking | Networking technology that uses radio waves to connect devices. | Wi-Fi standards (802.11a/b/g/n/ac/ax), Frequency Bands | WPA2, WPA3, WEP, Bluetooth | Home networking, Mobile devices, IoT |
| 7. Network Topologies | Physical and logical arrangement of network devices and paths. | Star, Mesh, Bus, Ring, Hybrid | Ethernet, Wireless, Fiber Optic | Network design, Performance optimization |
| 8. Network Address Translation (NAT) | Method to map multiple private IP addresses to a single public IP address. | Static NAT, Dynamic NAT, PAT | NAT44, NAT64 | IPv4 conservation, Internet access |
| 9. VLANs (Virtual LANs) | Segregation of networks within the same physical switch to improve management and security. | VLAN Trunking Protocol, VLAN Tagging | 802.1Q, Inter-VLAN Routing | Network segmentation, Traffic management |
| 10. Network Troubleshooting | Methods and tools used to diagnose and resolve network issues. | Ping, Traceroute, nslookup, Wireshark | SNMP, Syslog, NetFlow | Issue diagnosis, Performance monitoring |
| ... | ... | ... | ... | ... |
| Lab Exercise | Description | Key Concepts | Tools/Software | Learning Outcomes |
|---|---|---|---|---|
| 1. Basic Network Configuration | Set up and configure a simple network with routers, switches, and end devices. | IP Addressing, Subnetting, Routing, Switching | Cisco Packet Tracer, GNS3, VMware/VirtualBox | Understanding IP addressing, Basic routing and switching |
| 2. VLAN Configuration | Create and configure Virtual Local Area Networks (VLANs) to segment network traffic. | VLANs, Trunking, Inter-VLAN Routing | Cisco Packet Tracer, GNS3, Real Switches | Network segmentation, VLAN management, Traffic isolation |
| 3. DHCP and DNS Setup | Configure DHCP for automatic IP address allocation and DNS for name resolution. | DHCP Server, DNS Records, Lease Time | GNS3, Cisco Packet Tracer, Windows/Linux Server | Dynamic IP management, Domain name resolution |
| 4. Static and Dynamic Routing | Implement static routes and dynamic routing protocols (RIP, OSPF, EIGRP) between routers. | Static Routing, RIP, OSPF, EIGRP | GNS3, Cisco Packet Tracer, Real Routers | Routing fundamentals, Network path selection |
| 5. Firewall Configuration | Configure firewall rules to control traffic flow between different network segments. | Packet Filtering, NAT, Access Control Lists (ACLs) | pfSense, Cisco ASA, iptables, GNS3 | Network security, Traffic filtering, NAT configuration |
| 6. VPN Setup and Configuration | Set up a VPN to securely connect remote users or sites to the internal network. | Tunneling, Encryption, VPN Protocols (IPsec, OpenVPN) | OpenVPN, WireGuard, Cisco AnyConnect, GNS3 | Secure remote access, Site-to-site connectivity |
| 7. Network Monitoring and Management | Implement network monitoring to track and analyze network traffic and performance. | SNMP, NetFlow, Syslog, Packet Capture | Wireshark, Nagios, Zabbix, SolarWinds | Real-time monitoring, Performance analysis, Traffic troubleshooting |
| 8. NAT and PAT Configuration | Configure Network Address Translation (NAT) and Port Address Translation (PAT) on routers. | NAT, PAT, Inside/Outside Interfaces | GNS3, Cisco Packet Tracer, Real Routers | IP address conservation, Network translation, Port forwarding |
| 9. Wireless Network Setup | Configure a wireless network with security protocols like WPA2, and manage access points. | SSID, WPA2, Access Point Configuration | Cisco Packet Tracer, Real Wireless Routers, Ekahau | Wireless security, Wireless network management |
| 10. Load Balancer Configuration | Set up a load balancer to distribute traffic across multiple servers for high availability. | Round Robin, Least Connections, Load Balancing Algorithms | HAProxy, NGINX, AWS ELB, Azure Load Balancer | High availability, Traffic distribution, Load balancing |
| 11. IPv6 Network Configuration | Configure an IPv6 network with addressing, routing, and DNS support. | IPv6 Addressing, Dual Stack, IPv6 Routing | GNS3, Cisco Packet Tracer, Real Routers/Switches | Understanding IPv6, Transitioning from IPv4, IPv6 routing |
| 12. Docker Networking | Explore container networking by setting up Docker networks and connecting containers. | Bridge Network, Host Network, Overlay Network | Docker, Docker Compose, Portainer | Container networking, Service discovery, Network isolation |
| 13. Network Automation with Ansible | Automate network configuration tasks using Ansible playbooks. | Ansible, YAML, Network Modules | Ansible, Cisco Devices, GNS3 | Automating repetitive tasks, Configuration consistency |
| 14. Intrusion Detection System (IDS) Setup | Deploy an IDS to monitor and detect malicious network activity. | IDS, Signatures, Anomaly Detection, Snort | Snort, Suricata, Security Onion | Threat detection, Security monitoring, Network defense |
| 15. Cloud Network Configuration | Configure and manage virtual networks in a cloud environment (AWS, Azure, GCP). | VPC, Subnets, Security Groups, Peering | AWS Management Console, Azure Portal, Terraform | Cloud networking, Hybrid cloud connectivity, Security management |
| --- | --- | --- | --- | --- |
Note
...
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Network Basics | Fundamental concepts of networking, essential for understanding how systems communicate in a DevOps environment. | IP Addressing, Subnetting, DNS, TCP/IP, OSI Model | ping, traceroute, ipconfig/ifconfig, nslookup |
Network troubleshooting, Connectivity testing |
| 2. Virtual Private Network (VPN) | Securely connecting to a remote network over the internet. | Tunneling, Encryption, VPN Protocols (IPsec, OpenVPN) | OpenVPN, WireGuard, Cisco AnyConnect | Secure remote access, Connecting distributed teams |
| 3. Firewalls | Security systems that control incoming and outgoing network traffic based on predetermined security rules. | Packet Filtering, Stateful Inspection, NAT, ACL | iptables, ufw, AWS Security Groups, Azure NSG |
Network security, Traffic management |
| 4. Load Balancing | Distributing network traffic across multiple servers to ensure reliability and performance. | Round Robin, Least Connections, Sticky Sessions | HAProxy, NGINX, AWS ELB, Azure Load Balancer | High availability, Scaling, Fault tolerance |
| 5. DNS Management | Translating domain names into IP addresses, critical for routing traffic to services. | DNS Records (A, CNAME, MX, TXT), TTL, Zone Files | BIND, dig, AWS Route 53, Azure DNS |
Domain management, Service discovery, Traffic routing |
| 6. Network Security | Protecting network infrastructure from threats and unauthorized access. | SSL/TLS, Encryption, VPN, IDS/IPS, Zero Trust | OpenSSL, Snort, Suricata, Fail2Ban | Secure communication, Threat detection, Access control |
| 7. Network Monitoring | Continuously observing network traffic to ensure availability, performance, and security. | SNMP, NetFlow, Syslog, Packet Capture | Nagios, Zabbix, Wireshark, Prometheus | Network performance monitoring, Troubleshooting, Security auditing |
| 8. Infrastructure as Code (IaC) for Networking | Managing and provisioning network infrastructure using code. | Terraform, CloudFormation, Ansible Playbooks | Terraform, AWS CloudFormation, Azure ARM Templates | Automated network provisioning, Configuration management |
| 9. Cloud Networking | Networking concepts and practices specific to cloud environments (AWS, Azure, GCP). | VPC, Subnets, Security Groups, Peering, Load Balancers | AWS VPC, Azure VNet, GCP VPC, Cloud Networking CLI | Building secure cloud networks, Hybrid cloud networking |
| 10. Network Automation | Using scripts and tools to automate network configuration and management tasks. | Ansible, Python, Network APIs, RESTful APIs | Ansible, Cisco Netmiko, Nornir, Python Scripts | Automating network changes, Reducing manual errors, Configuration consistency |
| 11. Service Mesh | A dedicated infrastructure layer for managing service-to-service communication within a microservices architecture. | Sidecar Proxy, Traffic Management, Service Discovery | Istio, Linkerd, Envoy, Consul | Microservices communication, Observability, Security |
| 12. Network Troubleshooting | Techniques and tools to diagnose and resolve network issues. | Packet Analysis, Latency, Bandwidth, Connectivity | ping, traceroute, tcpdump, Wireshark |
Debugging network issues, Ensuring network reliability |
| 13. Container Networking | Networking concepts specific to containerized environments like Docker and Kubernetes. | Overlay Networks, Service Discovery, Ingress, Egress | Docker Networking, CNI Plugins, Calico, Flannel | Container communication, Scaling microservices, Multi-host networking |
| 14. Continuous Integration/Continuous Deployment (CI/CD) and Networking | Ensuring that network configurations are part of the CI/CD pipeline for consistency and automation. | Network Config as Code, Automated Testing, Deployment Pipelines | Jenkins, GitLab CI, Terraform, Ansible | Automated network deployments, Testing network changes, Continuous delivery of network updates |
| 15. Edge Networking | Networking solutions that bring computing power closer to the data source or end user. | Edge Computing, CDN, Latency Reduction, IoT | AWS CloudFront, Azure CDN, Akamai, Cloudflare | Reducing latency, Content delivery, Real-time applications |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Linux File System | Structure and organization of files and directories in Linux. | Filesystem Hierarchy Standard (FHS), Inodes | ls, cd, mkdir, rm, ln |
File management, Storage organization |
| 2. File Permissions | Security settings that control access to files and directories. | Read, Write, Execute, Owner, Group, Others | chmod, chown, umask |
Access control, Security management |
| 3. Process Management | Handling processes running on a Linux system. | PID, Parent/Child processes, Foreground/Background | ps, top, kill, nice, cron |
Performance optimization, Automation |
| 4. Package Management | Installation, upgrade, and removal of software packages. | Repositories, Dependencies, Package formats (rpm, deb) | apt, yum, dnf, rpm, dpkg |
Software installation, System updates |
| 5. User and Group Management | Management of user accounts and groups for access control. | User IDs (UID), Group IDs (GID), Sudoers | useradd, usermod, groupadd, passwd |
Multi-user systems, Security configuration |
| 6. Shell Scripting | Automating tasks using scripts written in shell languages like Bash. | Variables, Loops, Conditional Statements | bash, sh, echo, read, grep, awk |
Task automation, System administration |
| 7. Networking in Linux | Configuring and managing network interfaces and services on a Linux system. | IP configuration, DNS, DHCP, Firewall | ifconfig, ip, iptables, ss, netstat |
Network setup, Firewall configuration, Troubleshooting |
| 8. Disk Management | Managing disk partitions, mounting, and filesystem types. | Partitions, Filesystem types (ext4, xfs, etc.), Mounting | fdisk, mount, umount, df, mkfs |
Storage setup, Disk utilization, Data organization |
| 9. System Monitoring | Tools and techniques for monitoring system performance and resource usage. | CPU, Memory, Disk I/O, Network Usage | top, htop, vmstat, iotop, sar |
Performance tuning, Resource management |
| 10. Linux Services Management | Controlling and managing services (daemons) on a Linux system. | Service States (start, stop, enable), Init Systems (SysV, systemd) | systemctl, service, chkconfig |
Service management, Boot process configuration |
| Topic | Description | Key Concepts | Syntax/Commands | Use Cases |
|---|---|---|---|---|
| 1. Introduction to Bash Scripting | Basics of writing and executing Bash scripts. | Shell, Script Execution, Shebang (#!/bin/bash) |
chmod, ./script.sh, #!/bin/bash |
Automating tasks, Running scripts, Basic shell programming |
| 2. Variables | Storing and using data in scripts with variables. | Variable Declaration, Environment Variables, Scope | VAR=value, echo $VAR, export VAR |
Dynamic script configuration, Reusability, Passing data |
| 3. User Input and Arguments | Handling user input and command-line arguments in scripts. | $1, $2, read, shift, getopts |
read, $@, getopts, $?, $# |
Interactive scripts, Argument parsing, Command-line tools |
| 4. Conditional Statements | Making decisions in scripts using if, else, and elif. |
if, else, elif, Test Conditions, Exit Status |
if [ condition ]; then ... fi, test, [[ ]] |
Flow control, Decision making, Conditional execution |
| 5. Loops | Automating repetitive tasks with for, while, and until loops. |
for, while, until, Loop Control (break, continue) |
for i in ...; do ... done, while [ condition ]; do ... done |
Iterating over lists, Automating repetitive tasks, Monitoring |
| 6. Functions | Encapsulating code into reusable blocks with functions. | Function Definition, Local Variables, Return Values | function_name() { ... }, return, local |
Code reusability, Modular scripts, Simplifying complex tasks |
| 7. Arrays | Using arrays to store multiple values in a single variable. | Indexed Arrays, Associative Arrays, Array Operations | arr=(), arr[0]=value, ${arr[@]}, declare -A |
Handling lists of data, Complex data management, Argument handling |
| 8. String Manipulation | Working with strings, including slicing, replacing, and length calculation. | String Length, Substring, Replacement, Concatenation | ${#str}, ${str:position:length}, ${str/pattern/replacement} |
Text processing, Data formatting, String comparison |
| 9. File Operations | Reading from and writing to files within scripts. | File Redirection, cat, echo, grep, sed |
cat file, echo "text" > file, >>, <, 2> |
Log management, Data processing, Configuration management |
| 10. Error Handling | Managing errors and debugging in Bash scripts. | Exit Codes, trap, set -e, Logging |
$?, trap, exit, set -e, >&2 |
Robust scripting, Debugging, Error reporting |
| 11. Script Debugging | Techniques to debug Bash scripts and find errors. | set -x, set -e, trap, Verbose Mode |
bash -x script.sh, set -v, echo "Debug" |
Debugging scripts, Troubleshooting, Ensuring script reliability |
| 12. Process Management | Managing and controlling processes within scripts. | Background/Foreground Processes, ps, kill |
&, fg, bg, jobs, kill, wait, trap |
Running background tasks, Process automation, Signal handling |
| 13. Networking in Bash | Performing network-related tasks and checks using Bash. | ping, curl, wget, Sockets |
ping -c 4, curl http://example.com, nc -zv |
Network monitoring, Data retrieval, Connectivity checks |
| 14. Scheduling Scripts | Automating script execution at specific intervals using cron jobs. | cron, crontab, Scheduling Syntax |
crontab -e, * * * * * /path/to/script.sh |
Automating tasks, Scheduled maintenance, Regular reporting |
| 15. Automation and Integration | Integrating Bash scripts with other tools and automating system tasks. | awk, sed, grep, ssh, rsync, scp |
awk '{print $1}', sed 's/old/new/g', grep 'pattern' |
Data processing, Remote management, Automated deployments |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Docker Basics | Introduction to Docker, a platform for developing, shipping, and running applications in containers. | Containers, Images, Docker Engine | docker, docker run, docker pull |
Containerization, Microservices |
| 2. Docker Images | Read-only templates used to create containers. | Dockerfile, Layers, Image Registry | docker build, docker images, docker tag |
Application distribution, Version control |
| 3. Docker Containers | Lightweight, standalone, and executable packages of software that include everything needed to run it. | Container Lifecycle, Isolation, Port Binding | docker ps, docker start, docker stop, docker exec |
Running applications, Testing environments |
| 4. Docker Volumes | Mechanism for persisting data generated by and used by Docker containers. | Bind Mounts, Named Volumes, Data Persistence | docker volume, docker run -v, docker-compose |
Persistent storage, Data sharing between containers |
| 5. Docker Networking | Networking capabilities that allow containers to communicate with each other and the outside world. | Bridge Network, Overlay Network, Host Network | docker network, docker run --network, docker-compose |
Service discovery, Microservices communication |
| 6. Docker Compose | Tool for defining and running multi-container Docker applications using YAML files. | docker-compose.yml, Services, Networks, Volumes |
docker-compose up, docker-compose down, docker-compose logs |
Multi-container applications, Orchestration |
| 7. Docker Registry | Storage and distribution system for Docker images, both public (Docker Hub) and private. | Docker Hub, Private Registry, Image Tags | docker push, docker pull, docker login, docker tag |
Image distribution, CI/CD pipelines |
| 8. Docker Swarm | Native clustering and orchestration tool for Docker, enabling the management of a group of Docker engines as a single entity. | Services, Nodes, Tasks, Scaling | docker swarm, docker service, docker node |
Container orchestration, High availability |
| 9. Docker Security | Best practices and tools to secure Docker containers and images. | User Namespaces, Docker Content Trust, Security Scanning | docker scan, docker bench, docker trust |
Secure container deployment, Vulnerability management |
| 10. Dockerfile | Script containing a series of commands to assemble a Docker image automatically. | Instructions (FROM, RUN, CMD, etc.), Multistage Builds | docker build, docker run -f, docker tag |
Custom image creation, Automated builds |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Docker Compose Basics | Tool for defining and managing multi-container Docker applications using YAML files. | Services, Containers, YAML Structure | docker-compose, docker-compose.yml |
Orchestrating multi-container environments, Simplified container management |
| 2. Services in Docker Compose | Definition of individual services that make up a Docker Compose application. | Service Configuration, Dependencies, Scaling | docker-compose up, docker-compose down, docker-compose scale |
Defining microservices, Setting service dependencies |
| 3. Docker Compose YAML Structure | The file format for defining services, networks, and volumes. | Version, Services, Networks, Volumes | version, services, networks, volumes |
Configuring multi-container apps, Version control |
| 4. Networks in Docker Compose | Configuring communication between containers and external systems. | Bridge Network, Overlay Network, External Networks | docker-compose network, networks: |
Isolated environments, Microservices communication |
| 5. Volumes in Docker Compose | Persistent data storage across container restarts and redeployments. | Named Volumes, Bind Mounts, Volume Drivers | docker-compose volume, volumes: |
Data persistence, Sharing data between containers |
| 6. Environment Variables | Managing environment-specific variables in Docker Compose files. | .env File, Variable Substitution, Secrets |
environment:, env_file: |
Configuration management, Secure secret management |
| 7. Docker Compose Commands | Command-line interface for managing Docker Compose applications. | Up, Down, Logs, Exec, Build, Config | docker-compose up, docker-compose down, docker-compose logs |
Application lifecycle management, Troubleshooting |
| 8. Dependency Management | Control the startup order of services and ensure dependencies are met. | depends_on, Healthchecks, Startup Order |
depends_on:, restart:, condition: |
Ensuring proper service initialization, Health checks |
| 9. Scaling Services | Running multiple instances of a service for load balancing or redundancy. | Replicas, Load Balancing, Service Discovery | docker-compose scale, docker-compose up --scale |
Horizontal scaling, High availability |
| 10. Docker Compose and CI/CD | Integrating Docker Compose with Continuous Integration/Continuous Deployment pipelines. | Automated Testing, Staging Environments, Deployment | Jenkins, GitLab CI, CircleCI with Docker Compose | Automated testing, Seamless deployment processes |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Kubernetes Basics | Kubernetes is an open-source platform for automating deployment, scaling, and managing containerized applications. | Pods, Nodes, Clusters, Containers | kubectl, Kubernetes API, kubeadm |
Container orchestration, Automated deployment, Scaling |
| 2. Pods | The smallest deployable units in Kubernetes that can contain one or more containers. | Single Container Pods, Multi-Container Pods, Init Containers | kubectl run, kubectl get pods, kubectl describe pod |
Running containerized applications, Multi-container apps |
| 3. Services | Abstraction that defines a logical set of Pods and a policy by which to access them. | ClusterIP, NodePort, LoadBalancer, ExternalName | kubectl expose, kubectl get svc, kubectl describe svc |
Load balancing, Service discovery, External access |
| 4. Deployments | Controllers that manage the desired state of Pods and ReplicaSets. | Rolling Updates, Rollbacks, Scaling | kubectl create deployment, kubectl rollout, kubectl scale |
Managing application updates, Scaling applications |
| 5. ReplicaSets | Ensure that a specified number of pod replicas are running at any given time. | Replica Count, Scaling, Self-healing | kubectl get rs, kubectl scale rs, kubectl describe rs |
High availability, Fault tolerance |
| 6. ConfigMaps and Secrets | Manage configuration data and sensitive information for applications separately from the code. | Key-Value Pairs, Data Injection, Environment Variables | kubectl create configmap, kubectl create secret, kubectl get secrets |
Decouple configuration from application, Secure sensitive data |
| 7. Persistent Volumes (PV) & Persistent Volume Claims (PVC) | Storage abstraction in Kubernetes, allowing Pods to request and use storage resources. | Static Provisioning, Dynamic Provisioning, Storage Classes | kubectl get pv, kubectl create pvc, kubectl describe pv |
Persistent data storage, Stateful applications |
| 8. Namespaces | Virtual clusters within a Kubernetes cluster for organizing resources and managing resource allocation. | Resource Quotas, Isolation, Multi-Tenancy | kubectl create namespace, kubectl get namespaces, kubectl config set-context |
Resource management, Environment separation |
| 9. Ingress | Manages external access to services in a cluster, typically HTTP/HTTPS. | Ingress Controllers, TLS, Path-based Routing | kubectl create ingress, kubectl describe ingress, Nginx Ingress Controller |
Exposing services, SSL termination, Load balancing |
| 10. Kubernetes Networking | Networking model in Kubernetes allowing communication between Pods, Services, and external clients. | Pod Networking, CNI Plugins, Network Policies | kubectl apply -f network-policy.yaml, Flannel, Calico, Cilium |
Pod communication, Network security, Traffic control |
| 11. Helm | A package manager for Kubernetes, facilitating the deployment of pre-configured applications. | Charts, Repositories, Releases | helm install, helm upgrade, helm repo add |
Application packaging, Deployment automation |
| 12. Kubernetes Security | Best practices and tools to secure Kubernetes clusters and applications. | RBAC, Pod Security Policies, Network Policies | kubectl create role, kubectl apply -f pod-security-policy.yaml, kubectl auth can-i |
Cluster security, Access control, Network isolation |
| 13. Kubernetes Autoscaling | Automatically scaling Pods and resources based on demand. | Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA), Cluster Autoscaler | kubectl autoscale, kubectl get hpa, Metrics Server |
Dynamic scaling, Resource optimization |
| 14. StatefulSets | Managing stateful applications, ensuring that Pods are created in order and have stable identities. | Persistent Storage, Stable Network IDs, Ordered Deployment | kubectl get statefulsets, kubectl delete statefulset |
Stateful applications, Databases, Distributed systems |
| 15. Monitoring and Logging | Observability of Kubernetes clusters, enabling tracking of performance and debugging issues. | Metrics, Logs, Prometheus, Grafana | Prometheus, Grafana, ELK Stack, kubectl logs, kubectl top |
Performance monitoring, Troubleshooting, Alerting |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Jenkins Basics | Jenkins is an open-source automation server used to build, test, and deploy software. | Continuous Integration (CI), Continuous Delivery (CD) | Jenkins Dashboard, Jenkins CLI, Jenkins Blue Ocean | Automating software builds, Testing, Deployment |
| 2. Jenkins Pipelines | Define your CI/CD workflows as code, using a Jenkinsfile. | Declarative Pipeline, Scripted Pipeline, Stages, Steps | Jenkinsfile, pipeline {}, stage {}, steps {} |
Automating complex CI/CD workflows, Version control |
| 3. Jenkins Jobs | Configurable tasks that Jenkins runs, such as building code or deploying an application. | Freestyle Jobs, Pipeline Jobs, Multibranch Pipelines | Build Triggers, Post-build Actions, job-dsl |
Custom CI/CD tasks, Triggering builds, Job chaining |
| 4. Jenkins Plugins | Extending Jenkins functionality through community-contributed plugins. | Plugin Management, Plugin Compatibility, Jenkins Update Center | Git Plugin, Docker Plugin, Pipeline Plugin, Blue Ocean Plugin | Integrating tools, Extending Jenkins features |
| 5. Jenkins Master-Slave Architecture | Distributing build jobs across multiple nodes to balance the load. | Master Node, Slave Nodes, Executors, Labels | jnlp, ssh-agent, node {} |
Distributed builds, Resource management |
| 6. Jenkins Credentials | Securely managing sensitive information such as passwords and SSH keys within Jenkins. | Credential Binding, Secret Text, Secret Files | credentials {}, Jenkins Secret, withCredentials |
Secure CI/CD pipelines, Access control |
| 7. Jenkins Declarative vs. Scripted Pipelines | Two different syntaxes for defining Jenkins Pipelines. | Declarative Syntax, Scripted Syntax, Groovy | pipeline {}, node {}, agent {} |
Pipeline customization, Choosing the right syntax |
| 8. Jenkins Shared Libraries | Reusable code libraries that can be shared across multiple Jenkins Pipelines. | Global Libraries, vars/, src/ |
@Library, globalPipelineLibraries {}, Groovy Scripts |
DRY (Don't Repeat Yourself) principle in pipelines, Code reuse |
| 9. Jenkins Pipeline Stages and Steps | Breaking down a Jenkins Pipeline into sequential stages and individual steps. | Stage Block, Steps Block, Parallel Stages | stage(), steps {}, parallel |
Organizing CI/CD processes, Parallel execution |
| 10. Jenkins Blue Ocean | A modern UI for Jenkins that simplifies Pipeline creation and visualization. | Visualization, Pipeline Editor, Interactive UI | Blue Ocean Editor, Visualization Dashboard | Simplified Pipeline creation, Enhanced UI/UX |
| 11. Jenkins Notifications | Sending alerts and updates on build status through various channels. | Email Notifications, Slack Integration, Webhooks | emailext, slackSend, post {} |
Build status alerts, Communication with teams |
| 12. Jenkins Security | Protecting Jenkins with authentication, authorization, and security settings. | Role-Based Access Control (RBAC), Matrix Authorization, SSH Keys | securityRealm, authorizationStrategy, Jenkins RBAC Plugin |
Secure Jenkins setup, Access management |
| 13. Jenkins Backup and Restore | Strategies for backing up Jenkins configurations, jobs, and plugins. | Job Config History, Backup Plugins, Scripted Backups | ThinBackup Plugin, JobConfigHistory Plugin, Manual Backups | Disaster recovery, System migration |
| 14. Jenkins Integration with Version Control | Connecting Jenkins to VCS for automated build triggers and version management. | Git, SVN, Mercurial, Webhooks | Git Plugin, Poll SCM, GitHub Integration | Automated builds from VCS, Continuous Integration |
| 15. Jenkins with Docker | Running Jenkins inside Docker containers and building Docker images within Jenkins pipelines. | Docker in Jenkins, Docker Agents, Docker Pipeline Plugin | docker {}, agent { docker { } }, Docker Plugin |
Containerized Jenkins setup, Building Docker images |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Zabbix Basics | Zabbix is an open-source monitoring tool for networks, servers, applications, and services. | Agent-based Monitoring, Agentless Monitoring, Server, Proxy | Zabbix Web Interface, Zabbix Agent, Zabbix Server | Real-time monitoring, Alerting, Data visualization |
| 2. Zabbix Architecture | Overview of Zabbix's distributed architecture, including Server, Agents, Database, and Web Interface. | Zabbix Server, Zabbix Agents, Proxies, Databases | Zabbix Server, Zabbix Proxy, Zabbix Agent | Scalable monitoring setups, Distributed monitoring |
| 3. Items | Basic elements in Zabbix that define what data to collect from monitored resources. | Key, Value, Item Types, Interval | Zabbix Agent, SNMP, JMX, HTTP |
Data collection, Resource monitoring |
| 4. Triggers | Logic used to evaluate the collected data against defined thresholds to detect issues. | Expressions, Severity, Dependencies | last(), avg(), count(), nodata() |
Automated issue detection, Threshold-based alerts |
| 5. Templates | Predefined sets of items, triggers, graphs, and screens that can be applied to multiple hosts. | Inheritance, Template Linking, Mass Updates | Built-in Templates, Custom Templates, Template Linking | Standardized monitoring configurations, Easy deployment |
| 6. Hosts and Host Groups | Entities that are monitored by Zabbix, organized into groups for easier management. | Host, Host Group, Interfaces | Create Host, Link Templates, Host Groups |
Structured monitoring, Group-based configurations |
| 7. Zabbix Trapper | A method for receiving and processing data sent by external applications or scripts to Zabbix. | Active Checks, Passive Checks, Zabbix Sender | zabbix_sender, trap_items, trap_keys |
Custom data collection, Integrating external systems |
| 8. Zabbix Proxies | Components that gather data from monitored devices and pass it to the Zabbix server. | Active Proxy, Passive Proxy, Offline Monitoring | zabbix_proxy, Proxy Configuration, proxy-mode |
Distributed monitoring, Load balancing |
| 9. Zabbix Alerts and Actions | Configuring Zabbix to send notifications and take predefined actions when triggers are fired. | Alert Methods, Media Types, Escalations | Action Configuration, Media Types, Escalation Scenarios |
Incident response, Automated actions, Alerting channels |
| 10. Graphs and Screens | Visual representation of the collected data for easier analysis and reporting. | Simple Graphs, Custom Graphs, Screens, Maps | Create Graph, Create Screen, Create Map |
Data visualization, Performance monitoring |
| 11. Zabbix API | RESTful API for integrating Zabbix with other applications and automating tasks. | Authentication, JSON-RPC, API Tokens | zabbix_api, json-rpc, curl |
Automation, Integration with third-party tools |
| 12. Zabbix Agent Configuration | Setting up and configuring Zabbix Agents on monitored hosts. | Active Checks, Passive Checks, Agent Daemon | zabbix_agentd.conf, zabbix_get, zabbix_sender |
Data collection, Agent management, Custom monitoring |
| 13. Zabbix Discovery | Automatically discovering network devices and services for monitoring. | Network Discovery, Low-Level Discovery (LLD), Rules | Discovery Rules, LLD Macros, Discovery Actions |
Automated network mapping, Dynamic resource tracking |
| 14. Zabbix Maintenance Periods | Configuring periods during which alerts and actions are suppressed for certain hosts. | Maintenance Window, Suppressed Alerts, Data Collection | Create Maintenance, Schedule Maintenance, Suppress Triggers |
Scheduled downtime, Maintenance operations |
| 15. Zabbix Performance Tuning | Optimizing Zabbix performance to handle large-scale monitoring setups. | Database Optimization, Poller Processes, Housekeeping | zabbix_server.conf, Database Tuning, Housekeeping Settings |
Efficient resource monitoring, High availability setups |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. Azure DevOps Overview | A cloud service that provides a set of tools for DevOps practices, including CI/CD, project management, and collaboration. | Azure Boards, Azure Repos, Azure Pipelines, Azure Artifacts, Azure Test Plans | Azure DevOps Portal, Azure CLI, REST API | End-to-end DevOps solution, Project management, CI/CD automation |
| 2. Azure Boards | A work tracking system for managing software projects using Kanban boards, backlogs, sprints, and work items. | Work Items, Backlogs, Sprints, Epics, User Stories | Boards, Queries, Delivery Plans | Agile project management, Tracking work, Sprint planning |
| 3. Azure Repos | A set of version control tools that can manage your code, including Git repositories and Team Foundation Version Control (TFVC). | Git Repositories, Branching, Pull Requests, Code Reviews | Git, Pull Request, Branch Policies, Forking | Source code management, Code collaboration, Version control |
| 4. Azure Pipelines | A CI/CD service that builds, tests, and deploys code to any platform or cloud. | Continuous Integration, Continuous Deployment, YAML Pipelines, Multi-Stage Pipelines | azure-pipelines.yml, Pipeline as Code, Build Agents |
Automated builds, Testing, Continuous deployment |
| 5. Azure Artifacts | A package management solution for managing and sharing code libraries and artifacts. | NuGet, Maven, npm, Python Packages, Universal Packages | Package Feeds, Upstream Sources, Retention Policies | Dependency management, Package distribution |
| 6. Azure Test Plans | A comprehensive testing solution that includes manual and exploratory testing tools. | Test Cases, Test Suites, Test Plans, Load Testing | Test Hub, Test Runner, Load Testing Tools | Test management, Manual testing, Continuous testing |
| 7. CI/CD Pipelines with Azure Pipelines | Automating the build, test, and deployment processes using pipelines. | Build Pipelines, Release Pipelines, Deployment Strategies (Canary, Blue-Green) | yaml, Classic Pipelines, Environments, Deployment Groups |
Automating application lifecycle, Continuous integration/delivery |
| 8. Infrastructure as Code (IaC) with Azure DevOps | Managing infrastructure through code using tools like Terraform, ARM templates, or Bicep in Azure Pipelines. | ARM Templates, Terraform, Bicep, Desired State Configuration (DSC) | terraform, az, bicep, Azure DevOps Pipelines |
Infrastructure automation, Environment provisioning |
| 9. Azure DevOps Integration | Connecting Azure DevOps with other tools and services like GitHub, Slack, Jira, and Azure services. | Service Hooks, Webhooks, Integrations, API | GitHub Actions, Slack Notifications, Azure Service Bus | Cross-tool collaboration, Notifications, Workflow automation |
| 10. Security and Compliance | Implementing security practices in Azure DevOps, including secure development and compliance tracking. | Secure DevOps, Azure Policy, Identity and Access Management (IAM) | Azure Security Center, Azure Policy, Secure DevOps Kit | Compliance monitoring, Security automation, Access control |
| 11. Monitoring and Reporting | Tracking and visualizing metrics, logs, and performance data across your Azure DevOps projects. | Dashboards, Analytics, Log Analytics, Alerts | Azure Monitor, Application Insights, Kusto Query Language (KQL) | Performance monitoring, Error tracking, Real-time analytics |
| 12. Azure DevOps Extensions | Enhancing Azure DevOps capabilities with custom or third-party extensions from the Marketplace. | Marketplace Extensions, Custom Extensions, APIs | Azure DevOps Marketplace, Azure CLI, REST API | Adding custom functionality, Integrating external tools |
| 13. Multi-Stage Pipelines | Defining multiple stages in a pipeline, each responsible for different tasks like building, testing, and deploying. | Stages, Jobs, Tasks, Approvals, Gates | azure-pipelines.yml, Environments, Deployment Strategies |
Complex CI/CD workflows, Environment segregation |
| 14. Azure DevTest Labs | A service that allows development and test teams to quickly create environments in Azure while minimizing waste and controlling cost. | Lab VMs, Custom Images, Artifacts, Cost Management | DevTest Labs, ARM Templates, Automation | Self-service environments, Cost management, Testing environments |
| 15. Azure Key Vault Integration | Securely managing secrets, keys, and certificates in your DevOps pipelines. | Secrets Management, Certificates, Keys, Access Policies | az keyvault, Azure Pipelines Secret Variables, Key Vault References |
Secure secrets handling, Key management, Compliance enforcement |
| Topic | Description | Key Concepts | Commands/Tools | Use Cases |
|---|---|---|---|---|
| 1. SonarQube Overview | SonarQube is an open-source platform for continuous inspection of code quality, detecting bugs, code smells, and security vulnerabilities. | Static Code Analysis, Continuous Inspection, Technical Debt | SonarQube Dashboard, SonarQube Scanner, SonarLint | Code quality management, Continuous integration, Security compliance |
| 2. Quality Gates | Set of conditions a project must meet to pass the quality threshold in a SonarQube analysis. | Conditions, Thresholds, Pass/Fail Criteria | Quality Gate Configuration, Default Quality Gate | Enforcing coding standards, Preventing code with issues from being merged |
| 3. Quality Profiles | Collections of rules against which your source code is analyzed. | Rules, Language-Specific Profiles, Custom Profiles | Quality Profile Configuration, Rule Management | Tailoring code analysis to project needs, Enforcing coding standards |
| 4. SonarQube Scanners | Tools that analyze code and send the results to the SonarQube server. | CLI Scanner, Maven Scanner, Gradle Scanner, MSBuild Scanner | sonar-scanner, sonar-project.properties, sonar.maven |
Automated code analysis, Integration with CI/CD pipelines |
| 5. Code Coverage | Measurement of how much of your source code is tested by your test suite. | Unit Tests, Integration Tests, Coverage Reports | JaCoCo, Cobertura, Clover, sonar.coverage |
Ensuring code reliability, Identifying untested code |
| 6. Code Smells | Maintainability issues in the code that indicate bad design or coding practices. | Debt Ratio, Maintainability, Refactoring | SonarQube Dashboard, Code Review, Rule Configuration | Improving code maintainability, Reducing technical debt |
| 7. Bugs and Vulnerabilities | Detecting potential errors and security issues in the codebase. | Security Hotspots, OWASP, SAST | OWASP Top 10, CWE (Common Weakness Enumeration), Rule Management | Enhancing code security, Reducing production bugs |
| 8. Technical Debt | Quantification of maintainability issues, expressed as the estimated time to fix them. | Debt Ratio, Code Smells, Remediation Effort | Technical Debt Calculation, Debt Ratio Metrics | Managing and reducing technical debt, Prioritizing refactoring efforts |
| 9. SonarQube Projects | Logical groupings of related codebases analyzed by SonarQube. | Project Dashboard, Project Key, Branch Analysis | sonar.projectKey, Project Overview, Branch Management |
Project-specific code analysis, Branch-based code quality monitoring |
| 10. SonarQube Issues | Identified problems in the codebase categorized as bugs, vulnerabilities, or code smells. | Issue Severity, Resolution, False Positives, Issue Workflow | Issue Triage, Issue Resolution, False Positive Marking | Tracking and fixing code issues, Prioritizing fixes |
| 11. SonarQube Rules | Specific guidelines used to identify issues in the code. | Built-in Rules, Custom Rules, Rule Sets | Rule Management, Custom Rule Creation, Importing Rules | Customizing code analysis, Enforcing specific coding standards |
| 12. SonarQube Branch Analysis | Analyzing code quality across different branches in a project. | Long-lived Branches, Short-lived Branches, Pull Request Decoration | Branch Configuration, sonar.branch.name, PR Decoration |
Continuous quality checks in feature branches, Integrating with Git workflows |
| 13. SonarQube Security | Implementing and managing security rules and best practices within the codebase. | Security Rules, OWASP, CWE, SAST | Security Hotspot Review, OWASP Configuration, Security Profiles | Enhancing application security, Detecting vulnerabilities early |
| 14. Integration with CI/CD | Integrating SonarQube with CI/CD pipelines for automated code quality checks. | Jenkins, Azure DevOps, GitLab CI, GitHub Actions | sonar-scanner, Webhooks, sonar.maven |
Automated code quality gates, Continuous code inspection |
| 15. SonarLint | An IDE extension that provides real-time code analysis and feedback. | On-the-fly Analysis, IDE Integration, Issue Highlighting | SonarLint for IntelliJ, Eclipse, Visual Studio, VS Code | Real-time code quality feedback, Improving code during development |
