𝗗𝗼𝗰𝗸𝗲𝗿 🐬 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 :-
✅ 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐲𝐨𝐮𝐫 𝐃𝐨𝐜𝐤𝐞𝐫 𝐛𝐮𝐢𝐥𝐝𝐬 𝐢𝐬 𝐛𝐲 𝐮𝐬𝐢𝐧𝐠 𝐚 .𝐝𝐨𝐜𝐤𝐞𝐫𝐢𝐠𝐧𝐨𝐫𝐞 𝐟𝐢𝐥𝐞 to exclude unnecessary files and directories from the build context, similar to a .gitignore file. This reduces the amount of data sent to the Docker daemon during builds, speeding up the build process and reducing resource consumption.
✅ 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐏𝐢𝐧𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬: To ensure consistency and prevent unexpected changes during builds, it’s advisable to pin versions of the packages and base images you are using. This practice not only helps in making builds more predictable but also optimizes the use of the build cache by avoiding unnecessary invalidations when dependencies are updated.
✅ 𝐌𝐢𝐧𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐭𝐡𝐞 𝐢𝐦𝐚𝐠𝐞 𝐬𝐢𝐳𝐞 𝐛𝐲 𝐜𝐥𝐞𝐚𝐧𝐢𝐧𝐠 𝐮𝐩 𝐮𝐧𝐧𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐟𝐢𝐥𝐞𝐬 𝐚𝐧𝐝 𝐝𝐢𝐫𝐞𝐜𝐭𝐨𝐫𝐢𝐞𝐬 within your Dockerfile can also lead to cost savings in storage and transfer. This includes removing temporary files and caches that are not needed in the final image.
✅ 𝐔𝐬𝐢𝐧𝐠 𝐥𝐢𝐠𝐡𝐭𝐰𝐞𝐢𝐠𝐡𝐭 𝐛𝐚𝐬𝐞 𝐢𝐦𝐚𝐠𝐞𝐬 is a highly effective strategy for optimizing Docker costs. Alpine Linux is a popular choice due to its minimal footprint, which can significantly reduce the overall size of your containers. This reduction in size not only decreases storage costs but also speeds up the time required for downloading and deploying images, making your operations more efficient.
✅ 𝐑𝐞𝐠𝐮𝐥𝐚𝐫𝐥𝐲 𝐩𝐫𝐮𝐧𝐢𝐧𝐠 𝐮𝐧𝐮𝐬𝐞𝐝 𝐃𝐨𝐜𝐤𝐞𝐫 𝐨𝐛𝐣𝐞𝐜𝐭𝐬 𝐬𝐮𝐜𝐡 𝐚𝐬 𝐢𝐦𝐚𝐠𝐞𝐬, 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬, 𝐯𝐨𝐥𝐮𝐦𝐞𝐬, 𝐚𝐧𝐝 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 is an essential practice to free up disk space and enhance the performance of your Docker environment
✅ 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐯𝐨𝐥𝐮𝐦𝐞 𝐨𝐟 𝐥𝐨𝐠𝐬 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐛𝐲 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is crucial for preventing excessive disk usage and associated costs. Docker offers several strategies for configuring log rotation and retention policies.
✅ 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡 𝐜𝐡𝐞𝐜𝐤𝐬 𝐟𝐨𝐫 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is essential for ensuring that your applications run smoothly without wasting resources on unnecessary operations. Properly configured health checks help prevent the deployment of unhealthy containers that can degrade performance and increase costs due to resource wastage.
✅ 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐥𝐢𝐦𝐢𝐭𝐬 𝐨𝐧 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐬 is crucial to ensure efficient resource use and prevent any single service from consuming more than its fair share.
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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priya@fxconsulting.in
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Let's walk through essential 🐧 Linux commands -
📂 𝟭. 𝗙𝗶𝗹𝗲 𝗮𝗻𝗱 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 🗂
- 𝚕𝚜: List files and directories in the current location
- 𝚙𝚠𝚍: Display the current working directory path
- 𝚌𝚍: Navigate between directories
- 𝚖𝚔𝚍𝚒𝚛: Create new directories
- 𝚛𝚖𝚍𝚒𝚛: Remove empty directories
- 𝚝𝚘𝚞𝚌𝚑: Create new files
- 𝚌𝚙: Duplicate files or directories
- 𝚖𝚟: Move or rename files and directories
- 𝚛𝚖: Delete files or directories
🔧 𝟮. 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- 𝚙𝚜: View running processes
- 𝚝𝚘𝚙: Monitor active processes in real-time
- 𝚑𝚝𝚘𝚙: Interact with processes using a user-friendly interface
- 𝚔𝚒𝚕𝚕: Stop a specific process
- 𝚔𝚒𝚕𝚕𝚊𝚕𝚕: Terminate all occurrences of a process
- 𝚙𝚜𝚝𝚛𝚎𝚎: Visualize processes in a hierarchical tree structure🌲
👥 𝟯. 𝗨𝘀𝗲𝗿 𝗮𝗻𝗱 𝗚𝗿𝗼𝘂𝗽 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- 𝚙𝚊𝚜𝚜𝚠𝚍: Update user passwords
- 𝚞𝚜𝚎𝚛𝚊𝚍𝚍: Create new users
- 𝚞𝚜𝚎𝚛𝚍𝚎𝚕: Remove users
- 𝚐𝚛𝚘𝚞𝚙𝚜: List groups a user belongs to
- 𝚞𝚜𝚎𝚛𝚖𝚘𝚍: Modify user account details
- 𝚒𝚍: Show user and group information
- 𝚐𝚛𝚘𝚞𝚙𝚊𝚍𝚍: Create new groups
- 𝚐𝚛𝚘𝚞𝚙𝚍𝚎𝚕: Remove groups
💾 𝟰. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 🖥
- 𝚞𝚗𝚊𝚖𝚎: Display system details
- 𝚍𝚏: Check disk space usage
- 𝚍𝚞: Estimate file and directory sizes
- 𝚏𝚛𝚎𝚎: Show available memory
- 𝚕𝚜𝚌𝚙𝚞: Provide CPU architecture information
- 𝚕𝚜𝚑𝚠: List hardware components
- 𝚕𝚜𝚋𝚕𝚔: Display block devices
🌐 𝟱. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 🕸
- 𝚒𝚏𝚌𝚘𝚗𝚏𝚒𝚐: Manage network interfaces
- 𝚒𝚙: Control routing, devices, and tunnels
- 𝚙𝚒𝚗𝚐: Verify network connectivity
- 𝚗𝚎𝚝𝚜𝚝𝚊𝚝: Analyze network statistics
- 𝚜𝚜: Investigate socket connections
- 𝚝𝚛𝚊𝚌𝚎𝚛𝚘𝚞𝚝𝚎: Track packet routes and delays
- 𝚜𝚜𝚑: Establish secure remote connections
- 𝚗𝚌: Swiss army knife for TCP/IP networking
📦 𝟲. 𝗣𝗮𝗰𝗸𝗮𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 📥
- 𝚊𝚙𝚝-𝚐𝚎𝚝, 𝚊𝚙𝚝: Manage packages on Debian-based systems
- 𝚢𝚞𝚖, 𝚍𝚗𝚏: Handle packages on RPM-based systems
- 𝚛𝚙𝚖: Manage RPM packages
- 𝚍𝚙𝚔𝚐: Manage Debian packages
- 𝚜𝚗𝚊𝚙: Work with the universal Linux package system
- 𝚣𝚢𝚙𝚙𝚎𝚛: Manage packages on openSUSE
📜 𝟳. 𝗙𝗶𝗹𝗲 𝗩𝗶𝗲𝘄𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 📝
- 𝚌𝚊𝚝: Display file contents
- 𝚕𝚎𝚜𝚜: View files with navigation controls
- 𝚖𝚘𝚛𝚎: Another file viewing tool
- 𝚟𝚒𝚖: Use the powerful Vim text editor
- 𝚐𝚎𝚍𝚒𝚝: Edit files using the GNOME text editor
- 𝚗𝚊𝚗𝚘: Edit files with the user-friendly Nano editor
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
- 𝚕𝚜: List files and directories in the current location
- 𝚙𝚠𝚍: Display the current working directory path
- 𝚌𝚍: Navigate between directories
- 𝚖𝚔𝚍𝚒𝚛: Create new directories
- 𝚛𝚖𝚍𝚒𝚛: Remove empty directories
- 𝚝𝚘𝚞𝚌𝚑: Create new files
- 𝚌𝚙: Duplicate files or directories
- 𝚖𝚟: Move or rename files and directories
- 𝚛𝚖: Delete files or directories
- 𝚙𝚜: View running processes
- 𝚝𝚘𝚙: Monitor active processes in real-time
- 𝚑𝚝𝚘𝚙: Interact with processes using a user-friendly interface
- 𝚔𝚒𝚕𝚕: Stop a specific process
- 𝚔𝚒𝚕𝚕𝚊𝚕𝚕: Terminate all occurrences of a process
- 𝚙𝚜𝚝𝚛𝚎𝚎: Visualize processes in a hierarchical tree structure
- 𝚙𝚊𝚜𝚜𝚠𝚍: Update user passwords
- 𝚞𝚜𝚎𝚛𝚊𝚍𝚍: Create new users
- 𝚞𝚜𝚎𝚛𝚍𝚎𝚕: Remove users
- 𝚐𝚛𝚘𝚞𝚙𝚜: List groups a user belongs to
- 𝚞𝚜𝚎𝚛𝚖𝚘𝚍: Modify user account details
- 𝚒𝚍: Show user and group information
- 𝚐𝚛𝚘𝚞𝚙𝚊𝚍𝚍: Create new groups
- 𝚐𝚛𝚘𝚞𝚙𝚍𝚎𝚕: Remove groups
- 𝚞𝚗𝚊𝚖𝚎: Display system details
- 𝚍𝚏: Check disk space usage
- 𝚍𝚞: Estimate file and directory sizes
- 𝚏𝚛𝚎𝚎: Show available memory
- 𝚕𝚜𝚌𝚙𝚞: Provide CPU architecture information
- 𝚕𝚜𝚑𝚠: List hardware components
- 𝚕𝚜𝚋𝚕𝚔: Display block devices
- 𝚒𝚏𝚌𝚘𝚗𝚏𝚒𝚐: Manage network interfaces
- 𝚒𝚙: Control routing, devices, and tunnels
- 𝚙𝚒𝚗𝚐: Verify network connectivity
- 𝚗𝚎𝚝𝚜𝚝𝚊𝚝: Analyze network statistics
- 𝚜𝚜: Investigate socket connections
- 𝚝𝚛𝚊𝚌𝚎𝚛𝚘𝚞𝚝𝚎: Track packet routes and delays
- 𝚜𝚜𝚑: Establish secure remote connections
- 𝚗𝚌: Swiss army knife for TCP/IP networking
- 𝚊𝚙𝚝-𝚐𝚎𝚝, 𝚊𝚙𝚝: Manage packages on Debian-based systems
- 𝚢𝚞𝚖, 𝚍𝚗𝚏: Handle packages on RPM-based systems
- 𝚛𝚙𝚖: Manage RPM packages
- 𝚍𝚙𝚔𝚐: Manage Debian packages
- 𝚜𝚗𝚊𝚙: Work with the universal Linux package system
- 𝚣𝚢𝚙𝚙𝚎𝚛: Manage packages on openSUSE
- 𝚌𝚊𝚝: Display file contents
- 𝚕𝚎𝚜𝚜: View files with navigation controls
- 𝚖𝚘𝚛𝚎: Another file viewing tool
- 𝚟𝚒𝚖: Use the powerful Vim text editor
- 𝚐𝚎𝚍𝚒𝚝: Edit files using the GNOME text editor
- 𝚗𝚊𝚗𝚘: Edit files with the user-friendly Nano editor
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𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬 𝐚𝐧𝐝 𝐓𝐞𝐥𝐞𝐦𝐞𝐭𝐫𝐲 𝐃𝐚𝐭𝐚 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬⚠️
Observability is the ability to understand the internal state of a system by analyzing its outputs. It is a critical concept for monitoring and troubleshooting complex software systems and infrastructure.
Prometheus and telemetry data platforms are two tools that can be used to improve observability.
✅ Prometheus is an open-source monitoring system that collects metrics from systems and applications.
✅ Telemetry data platforms collect and store telemetry data from different sources, such as logs, metrics, and traces.
By combining Prometheus and telemetry data platforms, organizations can gain a deeper understanding of their systems and infrastructure.
This can help them to identify and troubleshoot problems more quickly, improve performance, and prevent outages.
🔗 Combining Prometheus and Telemetry Data Platform:
Prometheus is an open-source monitoring system that collects metrics from various components of your application or infrastructure.
The Telemetry Data Platform (TDP) is a cloud-based data store that can ingest telemetry data from Prometheus, as well as other sources such as logs and traces.
Here are some of the benefits of combining Prometheus and TDP:
✅ Comprehensive insights: Combining Prometheus and TDP provides a more comprehensive view of system health and performance.
✅ Faster troubleshooting: Correlating metrics, logs, and traces can help you to quickly identify and resolve issues.
✅ Holistic understanding: The TDP can give you a deeper understanding of system interactions and dependencies.
✅ Efficient alerting: Intelligent alerting based on correlated data can minimize false positives and improve incident response.
✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Observability is the ability to understand the internal state of a system by analyzing its outputs. It is a critical concept for monitoring and troubleshooting complex software systems and infrastructure.
Prometheus and telemetry data platforms are two tools that can be used to improve observability.
By combining Prometheus and telemetry data platforms, organizations can gain a deeper understanding of their systems and infrastructure.
This can help them to identify and troubleshoot problems more quickly, improve performance, and prevent outages.
Prometheus is an open-source monitoring system that collects metrics from various components of your application or infrastructure.
The Telemetry Data Platform (TDP) is a cloud-based data store that can ingest telemetry data from Prometheus, as well as other sources such as logs and traces.
Here are some of the benefits of combining Prometheus and TDP:
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DevOps 👾 Automation with Shell Scripts 🚀
➡️ In the fast-paced world of software development, agility and efficiency are paramount. DevOps, the integration of development and operations, has become a key approach to achieving these goals. One of the cornerstones of DevOps is automation, and when it comes to automation, shell scripting emerges as a powerful ally.
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/devops-automation-using-shell-scripts
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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https://www.udemy.com/course/terraform-hands-on-labs/
https://drive.google.com/drive/u/0/mobile/folders/1GhcXYuHd72K0uXscjqVnQ3ltNqJWZV2N?usp=sharing
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𝟭. 𝗥𝗼𝗼𝗸:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Storage
𝘙𝘦𝘱𝘰: https://lnkd.in/gvEq8kXD
𝟮. 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Runtime
𝘙𝘦𝘱𝘰: https://lnkd.in/gvkKhqv7
𝟯. 𝗖𝗶𝗹𝗶𝘂𝗺:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Cloud Native Network
𝘙𝘦𝘱𝘰: https://lnkd.in/gggWeZzP
𝟰. 𝗞𝘂𝗯𝗲𝗘𝗱𝗴𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Automation & Configuration
𝘙𝘦𝘱𝘰: https://lnkd.in/gavND-7s
𝟱. 𝗖𝗿𝗼𝘀𝘀𝗽𝗹𝗮𝗻𝗲:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Scheduling & Orchestration
𝘙𝘦𝘱𝘰: https://lnkd.in/gvw4VMS9
𝟲. 𝗛𝗮𝗿𝗯𝗼𝗿:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Container Registry
𝘙𝘦𝘱𝘰: https://lnkd.in/g-sERvjv
𝟳. 𝗙𝗮𝗹𝗰𝗼:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Security & Compliance
𝘙𝘦𝘱𝘰: https://lnkd.in/g2yAc_AJ
𝟴. 𝗧𝗲𝗹𝗲𝗽𝗼𝗿𝘁:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Key Management
𝘙𝘦𝘱𝘰: https://lnkd.in/gW24Wm5z
𝟵. 𝗟𝗶𝗻𝗸𝗲𝗿𝗱:
𝘊𝘢𝘵𝘦𝘨𝘰𝘳𝘺: Service Mesh
𝘙𝘦𝘱𝘰: https://lnkd.in/gNUdKEsz
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Unlock the Power of Automation with Ansible!
- The core of Ansible, a set of instructions to configure nodes.
- Written in YAML for simplicity and flexibility.
- a. Webserver
- b. Database server
- A framework that enriches Ansible.
- Provides a sleek GUI, reducing dependency on the 'cmd' window.
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HAPPY LEARNING
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100 Terms & Services which every DevOps ♾ Engineer should be aware of:
1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.
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- AWS CloudFormation
- AWS CDK
- AWS CloudWatch
- AWS CloudTrail
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- AWS Systems Manager
- AWS OpsWorks
- AWS IAM
- AWS KMS
- AWS VPC
- AWS Direct Connect
- AWS ECS
- AWS ECR
- AWS EKS
- AWS Lambdas
- AWS API Gateway
- AWS RDS
- AWS DynamoDB
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𝐀𝐳𝐮𝐫𝐞 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞❗️
Planning a microservices architecture on Microsoft Azure? This post dives into the essential network components that will ensure your application is secure, scalable, and highly available.
🔶 Azure's Networking Powerhouse for Microservices:
✔️ Azure Virtual Network (VNet): The foundation for isolating and segmenting your network within Azure. VNets allow secure communication between microservices and, if needed, with the internet.
✔️ Azure Load Balancer or Azure Application Gateway: Distribute traffic evenly across your services or instances.
🔷 Load Balancer: Operates at layer 4 (TCP/UDP), perfect for general traffic distribution.
🔷 Application Gateway: A layer 7 (HTTP/HTTPS) option offering advanced features like SSL termination, WAF (Web Application Firewall), and URL-based routing – ideal for HTTP-based microservices.
✔️ Network Security Groups (NSGs): Enforce security rules at the subnet or network interface level, safeguarding your microservices from unauthorized traffic.
✔️ Azure DNS: Provides name resolution using Microsoft's infrastructure, crucial for service discovery within your microservices architecture.
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Planning a microservices architecture on Microsoft Azure? This post dives into the essential network components that will ensure your application is secure, scalable, and highly available.
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/100-Kubernetes-Errors-With-Solution
#DevOps #Cloud #Kubernetes #Troubleshooting
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A Dockerfile is essentially a set of instructions that Docker follows to build a Docker image. These instructions specify what operating system to use, what software packages to install, what files to copy into the container, what environment variables to set, and what commands to run when the container starts.
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As a DevOps Engineer, Top 15 𝐂𝐨𝐦𝐦𝐨𝐧 𝐢𝐬𝐬𝐮𝐞𝐬 𝐢𝐧 𝐋𝐢𝐧𝐮𝐱. 🐧 you should be aware of :
𝟏. 𝐏𝐚𝐜𝐤𝐚𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Unable to install a package.
- Solution: Use the package manager for your distribution (e.g.,
𝟐. 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧:
- Issue: No internet connection.
- Solution: Check network cables, run network diagnostic commands (
𝟑. 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Permission denied while trying to access or modify files.
- Solution: Use
𝟒. 𝐁𝐨𝐨𝐭 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: System not booting properly.
- Solution: Use a live CD/USB to access the system, repair the bootloader (e.g., Grub), or fix corrupted system files.
𝟓. 𝐔𝐩𝐝𝐚𝐭𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Software updates fail.
- Solution: Check repositories, update the package list (
𝟔. 𝐃𝐢𝐬𝐤 𝐒𝐩𝐚𝐜𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Running out of disk space.
- Solution: Identify large files/directories (
𝟕. 𝐆𝐫𝐚𝐩𝐡𝐢𝐜𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Desktop environment not loading.
- Solution: Check graphics drivers, reinstall desktop environment, or switch to a different one.
𝟖. 𝐊𝐞𝐫𝐧𝐞𝐥 𝐏𝐚𝐧𝐢𝐜:
- Issue: Kernel panic during boot.
- Solution: Boot into a different kernel version, update the kernel, or reinstall the kernel package.
𝟗. 𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Unable to log in.
- Solution: Verify username and password, check for CAPS LOCK, and reset password if needed.
𝟏𝟎. 𝐒𝐰𝐚𝐩 𝐒𝐩𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Insufficient swap space.
- Solution: Resize or add swap space using
𝟏𝟏. 𝐅𝐢𝐥𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 𝐂𝐨𝐫𝐫𝐮𝐩𝐭𝐢𝐨𝐧:
- Issue: File system errors.
- Solution: Run file system checks (
𝟏𝟐. 𝐈𝐧𝐜𝐨𝐦𝐩𝐚𝐭𝐢𝐛𝐥𝐞 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬:
- Issue: Missing or incompatible libraries.
- Solution: Install required libraries using the package manager.
𝟏𝟑. 𝐒𝐲𝐬𝐭𝐞𝐦𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬:
- Issue: Service not starting.
- Solution: Check service status with
𝟏𝟒. 𝐅𝐢𝐫𝐞𝐰𝐚𝐥𝐥 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧:
- Issue: Unable to access services due to firewall.
- Solution: Adjust firewall rules using tools like
𝟏𝟓. 𝐒𝐄𝐋𝐢𝐧𝐮𝐱 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: SELinux denials.
- Solution: Review SELinux logs, adjust SELinux policies, or set SELinux to permissive mode
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
𝟏. 𝐏𝐚𝐜𝐤𝐚𝐠𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Unable to install a package.
- Solution: Use the package manager for your distribution (e.g.,
apt for Debian/Ubuntu, yum for CentOS) and ensure repositories are properly configured.𝟐. 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧:
- Issue: No internet connection.
- Solution: Check network cables, run network diagnostic commands (
ifconfig, ping), and verify DNS settings.𝟑. 𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Permission denied while trying to access or modify files.
- Solution: Use
chmod or chown to adjust file permissions or ownership. Be cautious not to modify critical system files.𝟒. 𝐁𝐨𝐨𝐭 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: System not booting properly.
- Solution: Use a live CD/USB to access the system, repair the bootloader (e.g., Grub), or fix corrupted system files.
𝟓. 𝐔𝐩𝐝𝐚𝐭𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Software updates fail.
- Solution: Check repositories, update the package list (
sudo apt update), and then upgrade packages (sudo apt upgrade).𝟔. 𝐃𝐢𝐬𝐤 𝐒𝐩𝐚𝐜𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Running out of disk space.
- Solution: Identify large files/directories (
du or df commands) and remove unnecessary files. Be careful not to delete critical system files.𝟕. 𝐆𝐫𝐚𝐩𝐡𝐢𝐜𝐚𝐥 𝐈𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Desktop environment not loading.
- Solution: Check graphics drivers, reinstall desktop environment, or switch to a different one.
𝟖. 𝐊𝐞𝐫𝐧𝐞𝐥 𝐏𝐚𝐧𝐢𝐜:
- Issue: Kernel panic during boot.
- Solution: Boot into a different kernel version, update the kernel, or reinstall the kernel package.
𝟗. 𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐛𝐥𝐞𝐦𝐬:
- Issue: Unable to log in.
- Solution: Verify username and password, check for CAPS LOCK, and reset password if needed.
𝟏𝟎. 𝐒𝐰𝐚𝐩 𝐒𝐩𝐚𝐜𝐞 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: Insufficient swap space.
- Solution: Resize or add swap space using
swapon or by modifying the /etc/fstab file.𝟏𝟏. 𝐅𝐢𝐥𝐞 𝐒𝐲𝐬𝐭𝐞𝐦 𝐂𝐨𝐫𝐫𝐮𝐩𝐭𝐢𝐨𝐧:
- Issue: File system errors.
- Solution: Run file system checks (
fsck) on unmounted partitions to fix errors.𝟏𝟐. 𝐈𝐧𝐜𝐨𝐦𝐩𝐚𝐭𝐢𝐛𝐥𝐞 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬:
- Issue: Missing or incompatible libraries.
- Solution: Install required libraries using the package manager.
𝟏𝟑. 𝐒𝐲𝐬𝐭𝐞𝐦𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐅𝐚𝐢𝐥𝐮𝐫𝐞𝐬:
- Issue: Service not starting.
- Solution: Check service status with
systemctl status, review logs, and restart the service.𝟏𝟒. 𝐅𝐢𝐫𝐞𝐰𝐚𝐥𝐥 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧:
- Issue: Unable to access services due to firewall.
- Solution: Adjust firewall rules using tools like
ufw or firewalld.𝟏𝟓. 𝐒𝐄𝐋𝐢𝐧𝐮𝐱 𝐈𝐬𝐬𝐮𝐞𝐬:
- Issue: SELinux denials.
- Solution: Review SELinux logs, adjust SELinux policies, or set SELinux to permissive mode
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