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G/O Flashcards > Consulting Cards 3 > Flashcards

Consulting Cards 3 Flashcards

1
Q

Event Loops

A

A programming construct that waits for and dispatches events or messages in a program, often used in asynchronous programming to handle tasks concurrently.

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2
Q

Threading

A

A programming technique that allows multiple threads (lightweight processes) to run concurrently within a single program, improving efficiency and responsiveness.

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3
Q

Queues in Python

A

A data structure in Python used to manage a collection of items in a “first in, first out” (FIFO) or “last in, first out” (LIFO) manner, commonly used in task scheduling and concurrent programming.

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4
Q

Celery Beat (Python Library)

A

A scheduler component of Celery used for scheduling periodic tasks, such as sending emails or running backups, in Python applications.

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5
Q

Automating Backups

A

The process of automating the creation of backups for data or systems to prevent data loss, typically scheduled at regular intervals.

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6
Q

Cloud Automation

A

The use of automation tools to manage cloud computing resources and services, such as provisioning, scaling, and monitoring cloud infrastructure.

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7
Q

AWS (Amazon Web Services)

A

A cloud computing platform provided by Amazon that offers a wide range of cloud services, including computing power, storage, and databases.

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8
Q

Azure

A

A cloud computing platform provided by Microsoft that offers a variety of services for building, deploying, and managing applications and infrastructure.

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9
Q

Google Cloud Platform (GCP)

A

A suite of cloud computing services offered by Google, providing infrastructure, platform, and software services for computing, storage, and machine learning.

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10
Q

Boto3 (Python Library for AWS)

A

A Python library that provides an interface for interacting with Amazon Web Services (AWS), allowing automation of AWS resources like EC2, S3, and RDS.

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11
Q

CloudFormation

A

An AWS service that allows developers to define and deploy cloud infrastructure using templates as code, automating resource management.

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12
Q

Terraform

A

An open-source infrastructure as code (IaC) tool that allows users to define, provision, and manage cloud infrastructure across multiple providers, such as AWS, Azure, and GCP.

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13
Q

Ansible (Configuration Management Tool)

A

An open-source automation tool used for configuration management, application deployment, and task automation.

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14
Q

Infrastructure as Code (IaC)

A

The practice of managing and provisioning infrastructure through machine-readable configuration files, allowing automation of infrastructure management.

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15
Q

Serverless Architecture

A

A cloud computing model where cloud providers automatically manage server infrastructure, allowing developers to focus on writing code without worrying about server management.

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16
Q

AWS Lambda

A

A serverless computing service from AWS that allows you to run code in response to events without managing servers, charging only for the compute time consumed.

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17
Q

Event-Driven Automation

A

A model where actions or processes are triggered automatically by specific events or conditions, such as a file being uploaded or a system reaching a certain threshold.

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18
Q

Continuous Monitoring

A

The practice of continuously collecting, analyzing, and reviewing system performance and security metrics to detect and address issues in real time.

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19
Q

Automating Cloud Resources

A

The use of scripts, tools, and platforms to automate the management and provisioning of cloud infrastructure, such as virtual machines and storage.

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20
Q

EC2 (Elastic Compute Cloud)

A

An AWS service that provides scalable virtual servers in the cloud, allowing users to run applications on virtual machines.

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21
Q

S3 (Simple Storage Service)

A

A scalable storage service provided by AWS for storing and retrieving any amount of data at any time, commonly used for backup and archival storage.

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22
Q

Lambda Functions

A

Short-lived functions executed in response to specific events in a serverless architecture, often used for automation in cloud environments.

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23
Q

RDS (Relational Database Service)

A

A managed database service provided by AWS that makes it easier to set up, operate, and scale relational databases in the cloud.

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24
Q

Automating CI/CD Pipelines

A

The process of automating the continuous integration and continuous deployment pipeline, ensuring code is automatically tested and deployed.

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25
Q

Jenkins Pipelines

A

A feature of Jenkins that allows the automation of tasks related to continuous integration and deployment through a series of stages defined as code.

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26
Q

CircleCI

A

A cloud-based continuous integration and continuous deployment (CI/CD) platform that automates the building, testing, and deploying of applications.

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27
Q

GitLab CI

A

A continuous integration and deployment tool integrated with GitLab, allowing developers to automate code testing and deployment.

28
Q

Automating Builds

A

The process of automating the compilation and packaging of source code into deployable software, ensuring consistency and efficiency in software development.

29
Q

Build Artifacts

A

The files or packages produced as a result of a build process, such as executables, libraries, or container images, ready for deployment.

30
Q

Docker Compose

A

A tool for defining and running multi-container Docker applications, allowing developers to manage services, networks, and volumes in a single YAML file.

31
Q

Image Creation

A

The process of creating a container image, which includes the application code, runtime, and dependencies, for consistent deployment across environments.

32
Q

Container Orchestration

A

The automated management and coordination of containerized applications, including deployment, scaling, and networking, often done with tools like Kubernetes.

33
Q

Automating Deployments

A

The process of automating the deployment of applications to production environments, reducing the manual effort required and improving consistency.

34
Q

Rolling Deployment

A

A deployment strategy where new software versions are gradually rolled out to a subset of servers, replacing the old version without downtime.

35
Q

Blue-Green Deployment

A

A deployment strategy where two identical production environments (blue and green) are used, with traffic switched between them to reduce downtime.

36
Q

Canary Deployment

A

A deployment strategy where a new software version is gradually rolled out to a small subset of users before being deployed to the entire user base, allowing testing in production.

37
Q

Helm (Kubernetes Package Manager)

A

A package manager for Kubernetes that simplifies the deployment and management of applications by packaging them as charts.

38
Q

Kubernetes Pods

A

The smallest deployable units in Kubernetes, consisting of one or more containers that share storage, network, and specifications for how to run the containers.

39
Q

Service Discovery

A

The process by which services automatically discover and communicate with each other in a distributed system, commonly used in microservices architectures.

40
Q

Horizontal Scaling

A

The process of increasing capacity by adding more instances or nodes to a system, often used to handle increased load in distributed systems.

41
Q

Vertical Scaling

A

The process of increasing capacity by adding more resources (CPU, memory) to an existing system or server.

42
Q

Load Balancing

A

The process of distributing incoming network traffic across multiple servers to ensure no single server is overwhelmed, improving availability and performance.

43
Q

Autoscaling

A

The process of automatically adjusting the number of active servers or instances based on current demand to optimize resource usage and performance.

44
Q

Autoscaling Groups

A

A feature in cloud services like AWS that automatically adjusts the number of EC2 instances to handle changing workloads.

45
Q

Traffic Shaping

A

The process of managing and controlling the flow of data traffic to optimize network performance and ensure quality of service.

46
Q

ConfigMap (Kubernetes)

A

A Kubernetes object used to store configuration data in key-value pairs, allowing applications to be configured without redeploying the containers.

47
Q

Secrets Management

A

The practice of securely storing and managing sensitive information, such as API keys, passwords, and certificates, used in applications.

48
Q

Environment Variables

A

Variables that store configuration settings, such as API keys or database credentials, that can be injected into applications at runtime.

49
Q

CI/CD Security

A

The practice of incorporating security measures into the continuous integration and continuous deployment pipeline, ensuring that code is tested for vulnerabilities before being deployed.

50
Q

Secret Management (Vault)

A

A system for securely storing and accessing sensitive data, such as credentials and API keys, often used in CI/CD pipelines and cloud environments.

51
Q

HashiCorp Vault

A

A tool for securely storing and managing secrets, access tokens, encryption keys, and sensitive data, often used in cloud infrastructure.

52
Q

GitOps

A

A DevOps practice where infrastructure and application deployment are managed through Git repositories, enabling version control, auditing, and automated deployment.

53
Q

Infrastructure Automation

A

The process of using scripts or tools to automate the provisioning, configuration, and management of infrastructure, often using tools like Terraform or Ansible.

54
Q

DevOps Automation

A

The use of automated tools and processes to streamline and integrate the development and operations lifecycle, improving efficiency and reducing manual work.

55
Q

Python DevOps Tools

A

Python-based tools and libraries that are used for automation, configuration management, and monitoring in DevOps environments, such as Boto3 and Ansible.

56
Q

Configuration Management

A

The practice of maintaining and managing the configuration of software and infrastructure in a consistent and organized way, often using automation tools like Ansible.

57
Q

Automated Configuration

A

The process of using scripts or automation tools to configure software and systems automatically, reducing manual errors and ensuring consistency.

58
Q

SRE (Site Reliability Engineering)

A

A discipline that applies software engineering principles to IT operations to improve the reliability, scalability, and efficiency of systems.

59
Q

Infrastructure Monitoring

A

The continuous observation and collection of data on the performance and health of IT infrastructure, often using tools like Prometheus and Grafana.

60
Q

API Rate Limiting

A

A technique used to control the number of requests a user or application can make to an API over a specific time period, preventing abuse and ensuring fair use.

61
Q

Load Testing

A

The process of evaluating the performance of a system by subjecting it to varying levels of load, such as simulating multiple users or transactions.

62
Q

Locust (Python Load Testing Tool)

A

A Python-based load testing tool that allows users to simulate millions of concurrent users to test web application performance.

63
Q

Stress Testing

A

A type of testing used to determine the robustness of a system under extreme conditions, such as high traffic, to evaluate how the system performs under pressure.

64
Q

Chaos Engineering

A

A discipline that involves intentionally introducing failures into a system to test its resilience and identify weaknesses in a controlled environment.

65
Q

Fault Injection

A

A testing technique where faults or errors are deliberately introduced into a system to assess its behavior and recovery capabilities under failure conditions.

G/O Flashcards (15 decks)

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