Online Training
Q4 2024
Nov 19 to Dec 10
11.00 AM EST: USA, UK, Canada, Mexico and Europe
06.00 AM GMT: MiddleEast, Asia and Australia
DevOps is a culture that combines development and operations teams to work together more effectively. It uses practices and tools to improve collaboration and efficiency between these teams.
DevOps aims to solve problems caused by traditional separation between development and operations teams. It addresses issues like conflicting goals and lack of communication.
Integrating development and operations teams leads to faster development cycles, more reliable software, and improved teamwork.
Some challenges in DevOps include managing bottlenecks, improving communication, and ensuring everyone takes responsibility for the final product.
Effective communication is crucial in DevOps to address bottlenecks, which are the slowest parts of the production process that limit overall progress.
Feedback loops help teams understand system performance and make improvements based on metrics. These insights can help in continuous process improvement.
In DevOps, failure is seen as an opportunity to learn and improve. The entire team shares responsibility for the outcome, encouraging a culture of continuous learning.
Deployment is the process of making software available to users. It involves various tools and processes to ensure smooth and effective delivery.
Version control systems track changes in software code and help manage different versions. This keeps projects organized and maintainable.
Testing is crucial in DevOps. Different types of tests are used at various stages of deployment to ensure software quality.
Branching creates separate versions of code for development, while merging combines these versions back into the main codebase. This helps manage changes efficiently.
Infrastructure includes the hardware and software used to develop, test, deploy, and run web services.
Different environments like local, staging, and production are used throughout the development and deployment process.
Scalability is the ability of a system to handle increased demand by adding resources without affecting performance.
Elasticity refers to the system's ability to automatically adjust resources based on current demand, which helps control costs.
Vertical scaling involves adding more resources (like memory or CPU) to a single system to improve performance.
Horizontal scaling means adding more machines to a system to distribute the load and improve capacity.
Dependencies are external resources or files needed by a system to function properly. Managing these is important for smooth operation.
Orchestration is the automated management of multiple infrastructure components to ensure they work together seamlessly.
Immutable infrastructure means that once servers are set up, they are not changed. Instead, new servers are created when updates are needed.
Traditionally, infrastructure was set up manually, which could be error-prone. Automation helps to reduce errors and improve consistency.
Virtualization allows multiple virtual machines (VMs) to run on a single physical machine, each with its own operating system and resources.
Containerization packages applications and their dependencies into containers that can run consistently across different environments.
Cloud-based infrastructure provides scalable and flexible resources over the internet, eliminating the need for physical hardware.
Infrastructure as Code involves managing and provisioning infrastructure through code, improving consistency and efficiency.
An alert notifies teams about important events or issues in the system that need attention.
SLIs measure specific metrics of system performance, like how quickly a webpage loads.
An SLA is a contract that specifies the expected level of service provided to customers.
SLI (Service Level Indicator), SLO (Service Level Objective), and SLA (Service Level Agreement) are metrics used to align system performance with business goals.
SLOs define acceptable performance ranges for metrics, like ensuring a webpage loads within a specific time frame.
Monitoring tools help track and analyze system performance and alerts to ensure everything is running smoothly.
Too many alerts can lead to alert fatigue, where important notifications might be ignored.
Monitoring involves continuously checking system metrics and logs to understand its state and performance.
Select metrics that reflect the health of the system and user experience to ensure effective monitoring.
Metrics should also include those that measure the quality of monitoring and observability, like alert accuracy and resolution time.
Observability is about understanding and acting on metrics to locate and fix problems in the system.
Resiliency is a system's ability to maintain performance and availability even when facing problems or failures.
Systems can face internal issues, external failures, or malicious attacks. DevOps practices help reduce the impact of these threats.
Resiliency can be improved through various practices like redundancy and fault-tolerant designs.
Resiliency is measured by how quickly systems recover from failures and how available critical services are during issues.
Internal problems include system changes and hardware failures, while external problems might involve loss of external services or support.
Testing involves simulating failures and recovery to ensure the system can handle problems effectively.
Protecting against cyber attacks is part of building a resilient system, which includes implementing security measures and response plans.
Automation uses tools and scripts to handle repetitive tasks in software development and operations, making processes more efficient.
Automation helps speed up development, reduce errors, and improve consistency in the software delivery process.
Continuous Integration involves frequently merging code changes into a shared repository and automatically testing them.
Continuous Delivery prepares code for deployment by automatically testing and building it in a staging environment.
Feature Flags control the visibility of new features in software, allowing them to be turned on or off without redeploying.
Trunk-Based Development involves making small, frequent changes to a central code repository to simplify integration.
Feature Branch Development involves working on separate branches for each new feature, which are merged back when complete.
To use Continuous Delivery, you must first implement Continuous Integration to ensure code changes are automatically tested and built.
Bottlenecks in deployment can slow down the process. Identifying and addressing these can improve efficiency.
Continuous Testing integrates automated testing into the CI/CD pipeline to ensure code quality throughout the development process.
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