|
How to monitor containerized applications in Azure (Sponsored)
 |
In this eBook, you’ll learn how to deploy and monitor containerized applications using Azure and Datadog. Start monitoring AKS cluster status, AKS control plane, and understand critical AKS resource metrics. Plus, get best practices on collecting and tracking observability data across your container environment, and be alerted to performance issues and potential threats automatically.
This week’s system design refresher:
The Data Engineering Roadmap
Popular interview question: What is the difference between Process and Thread?
What do version numbers mean?
How Transformers Architecture Works
Top YouTube Channels and Blogs for AI Learning in 2025
SPONSOR US
The Data Engineering Roadmap
Data engineering has become the backbone of effective data analysis. It involves managing, processing, and optimizing data to derive actionable insights.
 |
Here’s a roadmap that can help you get better at data engineering:
Programming Languages
Learn SQL and a few programming languages like Python, Java, and Scala.Processing Techniques
Learn batch processing tools like Spark and Hadoop and stream processing tools like Flink and Kafka.Databases
Focus on both relational and non-relational databases. Some examples are MySQL, Postgres, MongoDB, Cassandra, and Redis.Messaging Platforms
Master the use of platforms like Kafka, RabbitMQ, and Pulsar.Data Lakes and Warehouses
Learn about various data lake and warehousing solutions such as Snowflake, Hive, S3, Redshift, and Clickhouse. Also, learn about Normalization, Denormalization, and OLTP vs OLAP.Cloud Computing Platforms
Master the use of cloud platforms like AWS, Azure, Docker, and K8SStorage Systems
Learn about the key storage systems like S3, Azure Data Lake, and HDFSOrchestration Tools
Learn about orchestration tools like Airflow, Jenkins, and LuigiAutomation and Deployments
Learn automation tools such as Jenkins, Github Actions, and Terraform.Frontend and Dashboarding
Master the use of tools like Jupyter Notebooks, PowerBI, Tableau, and Plotty
Over to you: What else will you add to the Data Engineering Roadmap?
DORA, SPACE, and DevEx: Which framework should you use? (Sponsored)
 |
DORA, SPACE, DevEx, and the more recent DX Core 4 framework, all help leaders define and measure developer productivity. But each framework comes with tradeoffs, so which one should you use? Read this guide from DX CTO Laura Tacho to understand the differences between the frameworks, which ones work best for different teams, and how to implement them.
Read this guide for insight into:
Which developer productivity frameworks are widely used
Who should use each framework
How to implement each framework
What to consider when selecting the right framework for your team or organization
Popular interview question: What is the difference between Process and Thread?
 |
To better understand this question, let’s first take a look at what is a Program. A Program is an executable file containing a set of instructions and passively stored on disk. One program can have multiple processes. For example, the Chrome browser creates a different process for every single tab.
A Process means a program is in execution. When a program is loaded into the memory and becomes active, the program becomes a process. The process requires some essential resources such as registers, program counter, and stack.
A Thread is the smallest unit of execution within a process.
The following process explains the relationship between program, process, and thread.
The program contains a set of instructions.
The program is loaded into memory. It becomes one or more running processes.