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It serves as a low-level container runtime that interacts with the Linux kernel's containerization features to create and manage containers based on OCI-compliant container images. runc is often used as the underlying container runtime by container engines such as Docker and container orchestration platforms like Kubernetes.
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In today's digital landscape, protecting your Kubernetes clusters is non-negotiable. One critical threat to be mindful of is Exposed Endpoint Attacks and Remote Accessible Vulnerabilities (remember the Log4j JNDI Attack). Let's dive into what this entails and how you can strengthen your defenses.
In this scenario, threat actors target Kubernetes clusters with endpoints exposed to the public internet, such as the Kubernetes API server or kubelet, often due to misconfigurations or default settings.
The hacker identifies exposed workloads with vulnerabilities, gaining insight into the cluster's structure. Leveraging default settings, attackers access tokens to authenticate with the Kubernetes API server, escalating their privileges. Exploiting mounted Kubernetes secrets, attackers delve deeper into the cluster, potentially accessing critical system information.
Here are some 𝐝𝐞𝐟𝐞𝐧𝐬𝐢𝐯𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐬 to consider:
By understanding and implementing these measures, you bolster your defenses against Exposed Endpoint Attacks, ensuring the integrity and security of your Kubernetes infrastructure.
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Demystifying #Kubernetes pod lifecycle phases 🧐 ☸️
⏩ Let's break the phases:
😕 𝑷𝒆𝒏𝒅𝒊𝒏𝒈: Pod has been accepted by a #k8s cluster, but one or more of the
#containers have not been set up and made ready to run.
✅ 𝑹𝒖𝒏𝒏𝒊𝒏𝒈: Pod has been bound to a node, and all of the containers have been created. At least one container is still running, or is in the process of starting or restarting.
✅ 𝑺𝒖𝒄𝒄𝒆𝒆𝒅𝒆𝒅: All containers in the Pod have terminated in success, and will not be restarted.
❗️ 𝑭𝒂𝒊𝒍𝒆𝒅: All containers in the Pod have terminated, and at least one container has terminated in failure. That is, the container either exited with non-zero status or was terminated by the system.
⁉️ 𝑼𝒏𝒌𝒏𝒐𝒘𝒏: The state of the Pod could not be obtained and it occurs due to an error in communicating with the node where the Pod should be running.
Tracking the phases between pod communication involves triggering "container lifecycle hooks" that determines whether a pod is in ready state to accept traffic or not !!
🌐 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
⏩ 𝑫𝒊𝒅 𝒚𝒐𝒖 𝒌𝒏𝒐𝒘 𝒕𝒉𝒂𝒕 𝒑𝒐𝒅𝒔 f𝒐𝒍𝒍𝒐𝒘 𝒂 𝒅𝒆𝒇𝒊𝒏𝒆𝒅 𝒍𝒊𝒇𝒆𝒄𝒚𝒄𝒍𝒆?👉 They start in the 'Pending' phase, move through 'Running' if at least one of its primary containers starts OK, and then through either the 'Succeeded' or 'Failed' phases depending on whether any container in the Pod terminated in failure.
#containers have not been set up and made ready to run.
Tracking the phases between pod communication involves triggering "container lifecycle hooks" that determines whether a pod is in ready state to accept traffic or not !!
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Detailed Steps are included, Go read it out
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Are you ready to dive into the world of Docker?
Docker simplifies application deployment and management, making it a go-to tool for DevOps and developers.
Think of this as your command center! It's the interface you use to interact with Docker. You send commands to the Docker Client, which then communicates with the Docker Daemon to carry out your requests.
Your trusty server or virtual machine! This is where the magic happens. Docker Host manages the containers, making sure they run smoothly.
Your software library! It's a repository for Docker images. Popular ones include Docker Hub. You can store, share, and access images from here.
This persistent process manages containers on the host. It listens for Docker Client requests, creates, starts, stops, and monitors containers.
Containers are lightweight, portable, and consistent environments. They package your applications and dependencies, making them easily transferable and reproducible.
The blueprints for containers! Images are read-only templates that contain everything needed to run your application. They serve as the basis for creating containers.
Like ordering from a menu!
Docker run launches a container from an image, creating an instance you can interact with. Specify ports, volumes, and more to customize your container. 🚢
Use docker build to create custom images from a Dockerfile. It's like crafting your own unique containers tailored to your application's needs.
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Complete Theory of Kubernetes.pdf
71.9 MB
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𝑱𝒐𝒊𝒏 𝑶𝒖𝒓 𝑻𝒆𝒄𝒉 𝑪𝒐𝒎𝒎𝒖𝒏𝒊𝒕𝒚 -> 𝑮𝒖𝒊𝒅𝒆 𝑶𝒕𝒉𝒆𝒓’𝒔
- Selenium: Great for testing web applications.
- Appium: Focuses on testing mobile applications for iOS and Android.
- Katalon: User-friendly tool for testing web, mobile, and API applications.
- JMeter: Used for performance and load testing of applications.
- Kubernetes: Manages containerized applications efficiently.
- Docker Swarm: Simple tool for smaller teams using Docker containers.
- Openshift: Red Hat's solution for container orchestration.
- Apache Mesos: Efficiently orchestrates and manages containers.
- Kibana: Visualizes and analyzes logs in real-time.
- Nagios: Open-source system for monitoring IT infrastructure.
- Prometheus: Monitors metrics and alerts for dynamic environments.
- Splunk: Analyzes and monitors machine-generated data.
- Jira: Popular for project management and agile development.
- Slack: Real-time messaging platform for team collaboration.
- Confluence: Atlassian's tool for creating, sharing, and collaborating on documents.
- Python: Versatile language for automation, scripting, and web development.
- Go: Efficient compiled language for scalable systems.
- Groovy: Dynamic language for scripting in Jenkins pipelines.
- Bash: Shell scripting language for automating tasks in Unix environments.
- Docker: Revolutionized application packaging and deployment.
- buildAH: Builds container images without a Docker daemon.
- Podman: Daemonless alternative to Docker for managing containers.
- Kaniko: Builds container images inside containers securely.
- Ansible: Automates configuration management and task automation.
- Puppet: Manages infrastructure configuration for consistency and compliance.
- Terraform: IAC tool supporting various cloud providers and on-premises environments.
- Gitlab: Integrated platform for source code management and collaboration.
- Git: Distributed version control system for tracking changes and collaboration.
- BitBucket: Atlassian's Git repository management solution.
- Google Cloud: Provides scalable infrastructure and various cloud services.
- AWS (Amazon Web Services): Leading cloud service provider with a wide range of services.
- Azure: Microsoft's cloud platform offering comprehensive services.
- Oracle Cloud: Complete suite of cloud services for enterprises adopting DevOps.
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https://harshhaa.hashnode.dev/docker-for-the-absolute-beginner
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🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
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Cloud design patterns are your key to crafting 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝘀𝗲𝗰𝘂𝗿𝗲 applications that stand tall.
𝗡𝗼 𝗺𝗼𝗿𝗲 𝗺𝗲𝘁𝗮𝗽𝗵𝗼𝗿𝗶𝗰𝗮𝗹 𝘀𝗸𝘆𝘀𝗰𝗿𝗮𝗽𝗲𝗿𝘀: these are 𝗽𝗿𝗼𝘃𝗲𝗻 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 that address common cloud pitfalls, offering 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for real-world problems.
Think of them as 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁𝘀 for your cloud infrastructure, helping you construct robust systems with 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆.
𝗛𝗲𝗿𝗲'𝘀 𝗵𝗼𝘄 𝘁𝗵𝗲𝘆 𝗲𝗺𝗽𝗼𝘄𝗲𝗿 𝘆𝗼𝘂:
➡️ 𝗥𝗼𝗰𝗸-𝘀𝗼𝗹𝗶𝗱 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Eliminate outages and ensure uptime with patterns like 𝗖𝗶𝗿𝗰𝘂𝗶𝘁 𝗕𝗿𝗲𝗮𝗸𝗲𝗿 and 𝗥𝗲𝘁𝗿𝘆 𝘄𝗶𝘁𝗵 𝗕𝗮𝗰𝗸𝗼𝗳𝗳, guaranteeing your applications gracefully handle failures.
➡️ 𝗘𝗳𝗳𝗼𝗿𝘁𝗹𝗲𝘀𝘀 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Whether you need to handle 10 users or 10 million, patterns like 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 and 𝗤𝘂𝗲𝘂𝗲-𝗯𝗮𝘀𝗲𝗱 𝗟𝗼𝗮𝗱 𝗟𝗲𝘃𝗲𝗹𝗶𝗻𝗴 enable seamless adaptation to any demand.
➡️ 𝗙𝗼𝗿𝘁𝗿𝗲𝘀𝘀-𝗹𝗶𝗸𝗲 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Shrug off security vulnerabilities with patterns like 𝗟𝗲𝗮𝘀𝘁 𝗣𝗿𝗶𝘃𝗶𝗹𝗲𝗴𝗲 and 𝗗𝗲𝗳𝗲𝗻𝘀𝗲 𝗶𝗻 𝗗𝗲𝗽𝘁𝗵, safeguarding your data and systems from malicious actors.
➡️ 𝗖𝗿𝘆𝘀𝘁𝗮𝗹-𝗰𝗹𝗲𝗮𝗿 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Ditch the tangled mess of code! Patterns promote 𝗺𝗼𝗱𝘂𝗹𝗮𝗿 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗿𝗲𝘂𝘀𝗮𝗯𝗶𝗹𝗶𝘁𝘆, making your systems easier to understand and manage.
𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗲𝗮𝘀𝗵 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲?
Dive into these resources:
➡️ AWS Cloud Design Patterns: https://lnkd.in/eZCM7bNt
➡️ Azure Architecture Center: https://lnkd.in/eNUXRvkg
➡️ Cloud Design Patterns: Prescriptive Architecture Guidance for Cloud Applications by Microsoft: https://lnkd.in/eSgv3PxD
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
𝗡𝗼 𝗺𝗼𝗿𝗲 𝗺𝗲𝘁𝗮𝗽𝗵𝗼𝗿𝗶𝗰𝗮𝗹 𝘀𝗸𝘆𝘀𝗰𝗿𝗮𝗽𝗲𝗿𝘀: these are 𝗽𝗿𝗼𝘃𝗲𝗻 𝗯𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 that address common cloud pitfalls, offering 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for real-world problems.
Think of them as 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗯𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁𝘀 for your cloud infrastructure, helping you construct robust systems with 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆.
𝗛𝗲𝗿𝗲'𝘀 𝗵𝗼𝘄 𝘁𝗵𝗲𝘆 𝗲𝗺𝗽𝗼𝘄𝗲𝗿 𝘆𝗼𝘂:
𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝘂𝗻𝗹𝗲𝗮𝘀𝗵 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗽𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲?
Dive into these resources:
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Unlock the power of Kubernetes with Operators - the game-changer in application management! Here's a simplified breakdown:
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1707543206978.pdf
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Diving into the intricacies of AWS network architecture, we find the foundation of a highly available, scalable, and secure cloud ecosystem. Here's a snapshot:
This robust architecture balances flexibility, reliability, and scalability while prioritizing security and compliance, empowering businesses to confidently deploy applications in the cloud.
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