Info
Hi @all, how is your week ? From mine, enjoy new job with explore new things in new field. Therefore, I wanna kick off brand new series about collecting news, articles and new technology each two week around the world. This session is first start of journey, hope you guy can learn and enjoy much your weekend with me. Let’s digest for first week
Architecture
- The blog describe about DevSecOps practices inside AWS Cloud
- Provides as well step by step to create completely E2E DevSecOps life cycle
- Integrate more power tools and enchant technologies
- AWS Code Pipelines - Automation CI/CD
- AWS Elastic Beanstalk - Deployment Platform
- AWS Lambda - For running security scanning
- AWS Security Hub - Application Vulnerabilities Management
- SCA and SAST Tools - Dependency Check, Sonarqube
- DAST Tools - OWASP ZAP
2. Blog - FAANG 15 - Airbnb Data Infrastructure
- Shout out to my blogger from my country with tech but storytelling, giaosucan
- List and give more evidence and information about Airbnb architecture, what things approach by big company
- Talk about the problem inside Airbnb and how they implement solution to tackle with big data everyday
Cloud
1. Medium - The Future of AWS in 2025: Trends and Technologies to Watch Out For
- Walkthrough what happen with AWS in 2025, especially announce about new region in Asia and South America
- Emphasize AI Role inside AWS Ecosystem such as AWS SageMaker and Ultra EC2 with multiple service about security integrating more AI and ML
Data Engineer
1. Medium - Apache Airflow Overview
- Cover lots of thing around Apache Airflow to build from scratch with strategy for orchestrating in modern data engineers
- Conclusion about pop up features of Airflow and how can use
- Super commend for who wanna start to learn about Apache Airflow
- Describe about both of ETL and ELT concept inside Data Fields
- Put some evidence stems from data concept, such as Data Warehouse, Data Lake
3. Medium - ELT with Fabric, Azure and Databricks
- Talk more about data pipeline patterns for 2025 and beyond
- Show couple of interesting examples for proving each concept inside data field leverage Cloud Native service, focus on Azure, such as Fabric, Spark and Databricks
4. Blog - Change Data Capture (CDC)
- Give theoretical about CDC role in technologies nowadays
- Introduced couple of examples to approach CDC in project
5. Blog - Data Lake vs Data Warehouse
- Describe about both of concept Data Lake and Data Warehouse, attached example and illustrations
- Distinguish between Data Lake and Data Warehouse, point to multiple key differences
- Introduce new concept called Lakehose - combines the flexibility and scalability of Data Lakes with the structure and reliability of Data Warehouses.
Kubernetes
1. Medium - Let’s Encrypt Certificate using Cert-Manager on Kubernetes (HTTP Challenge)
- Introduce cert-manager and role for automatically create HTTPS for Kubernetes Cluster
- Setup guide about how to deploy and serve Let’s encrypt inside Kubernetes cluster been through
Helm
2. Medium - Why Some Companies are Moving Away from Kubernetes for Development Environments in 2025
- Tell about couple of reasons why company should move Kubernetes to another platform
- Emphasize the importance of decision when choose Kubernetes for starting project
- List more about alternative platform and solution for exchanging Kubernetes in 2025
3. Kubecost - Monitoring NVIDIA GPU Usage in Kubernetes with Prometheus
- Guide a way to monitor Kubernetes Workload using GPU with Prometheus via Nvidia DCGM
- Setup exporter
dcgmexporter for Kubernetes Cluster
4. Last9 - How to Monitor Ephemeral Storage Metrics in Kubernetes
- Guide a way to setup exporter to help prometheus to be able scrape metrics of Ephemeral Storage using k8s-ephemeral-storage-metrics
- Integrate into Prometheus and load couple of dashboard inside Grafana
MLOps
1. Neptune.ai - MLOps Landscape in 2024: Top Tools and Platforms
- Reread for once more time to understand more concept and keyword in MLOps fields
- Have structure and mindset to build up fully and compatible MLOps Process with those technologies
- Describe about landscape of MLOps in 2024, maybe keep growth up in 2025 🔥
2. Neptune.ai - MLOps Principles and How to Implement Them
- Learn about MLOps Principle, how the way to approach and implement that one into project
- Put more keyword, concept to catch up with MLOps
- Give the example of big tech Airbnb with applying MLOps culture
3. Google Cloud - MLOps: Continuous delivery and automation pipelines in machine learning
- Distinguish between MLOps and DevOps Culture
- Give about steps of data science for ML
- Deliver about each concept level inside MLOps, point into characteristics and challenge
Technologies
1. Medium - The 5 paid subscriptions I actually use in 2025 as a Staff Software Engineer
- Kinda good for learning what new thing be used by another engineer in 2025
- Talk more about value when use tools inside daily job and I really impress with those technologies inside (e.g: Medium, Excalidraw, Granola, …)
2. Medium - 19 Cron Jobs for DevOps Engineers
- Collections in good ways to use as cronjob for multiple task in backgroud for running task in server
- If you are DevOps engineer, you should take a look for a bit
3. Medium - Apache Tomcat (1): Core Components and Their Interactions
- Super detail about describing the module component inside WebServer Apache Tomcat
- Tell more about architecture and how module interact each others inside Apache Tomcat
4. Medium - Apache Tomcat (2): Navigating the Tomcat Configuration
- Go through bunch of configuration of Apache Tomcat, source code and structure of directory of project used Apache Tomcat
- List and explain each configuration file of Apache Tomcat