macOS is POSIX, they said. “It shouldn’t be too bad,” they said…
Disclaimer: this article is not only about complaining. I also hope to share a few useful tips for people working with MacOS.
Posts by Tag
- SRE 6
- Kubernetes 5
- Data Processing 5
- DevOps 4
- Data Engineering 4
- AWS 4
- Apache Spark 3
- Kafka 2
- Docker 2
- Airflow 2
- ETL 2
- Observability 1
- Monitoring 1
- Datadog 1
- JMX 1
- Containers 1
- Linux 1
- cgroups 1
- Memory 1
- OOM Killer 1
- Troubleshooting 1
- Blogging 1
- Markdown 1
- Jekyll 1
- GitHub Pages 1
- GitHub 1
- Structured Streaming 1
- S3 1
- Cloud Infrastructure 1
- Terraform 1
- Terragrunt 1
- macOS 1
- Developer Experience 1
- Tech 1
- Politics 1
- Space 1
- Public Policy 1
- Privatization 1
SRE
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Kubernetes
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Data Processing
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
DevOps
macOS is POSIX, they said. “It shouldn’t be too bad,” they said…
Disclaimer: this article is not only about complaining. I also hope to share a few useful tips for people working with MacOS.
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Data Engineering
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
AWS
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
Apache Spark
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
Kafka
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Docker
macOS is POSIX, they said. “It shouldn’t be too bad,” they said…
Disclaimer: this article is not only about complaining. I also hope to share a few useful tips for people working with MacOS.
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
Airflow
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
ETL
Spark ETL with Airflow on Kubernetes — Part 2
Let’s talk about the pitfalls and inconveniences of Airflow.
Spark ETL with Airflow on Kubernetes — Part 1
Apache Airflow has become one of the most widely used ETL schedulers today. What I really like about it is that you write ETL pipelines in plain Python code....
Observability
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Monitoring
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Datadog
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
JMX
How to collect JMX metrics from Kubernetes deployments with Datadog
Since 2018, my team has been using Datadog to collect application-related metrics.
Containers
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
Linux
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
cgroups
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
Memory
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
OOM Killer
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
Troubleshooting
Understanding the Docker OOM killer from inside a container
Recently I wrote an article about Datadog on Kubernetes. In that case, the Datadog jmxfetch Java process was killed by the host OOM killer because of JVM hea...
Blogging
Why I moved away from Medium to GitHub Pages
It has been more than a year since I last updated my Medium space. Unfortunately, Medium does not seem to be the right tool for me anymore. As a technical pe...
Markdown
Why I moved away from Medium to GitHub Pages
It has been more than a year since I last updated my Medium space. Unfortunately, Medium does not seem to be the right tool for me anymore. As a technical pe...
Jekyll
Why I moved away from Medium to GitHub Pages
It has been more than a year since I last updated my Medium space. Unfortunately, Medium does not seem to be the right tool for me anymore. As a technical pe...
GitHub Pages
Why I moved away from Medium to GitHub Pages
It has been more than a year since I last updated my Medium space. Unfortunately, Medium does not seem to be the right tool for me anymore. As a technical pe...
GitHub
Why I moved away from Medium to GitHub Pages
It has been more than a year since I last updated my Medium space. Unfortunately, Medium does not seem to be the right tool for me anymore. As a technical pe...
Structured Streaming
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
S3
Running Spark Structured Streaming on Kubernetes
There are many ways to process real-time data. At the company I work for, we use Kafka as our messaging service. Naturally, we first leaned toward Kafka stre...
Cloud Infrastructure
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Terraform
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
Terragrunt
Bootstrapping a data platform infrastructure on Kubernetes
The goal of this article is to show how easily you can bootstrap a resilient, scalable, and budget-friendly data processing platform in the cloud with Terraf...
macOS
macOS is POSIX, they said. “It shouldn’t be too bad,” they said…
Disclaimer: this article is not only about complaining. I also hope to share a few useful tips for people working with MacOS.
Developer Experience
macOS is POSIX, they said. “It shouldn’t be too bad,” they said…
Disclaimer: this article is not only about complaining. I also hope to share a few useful tips for people working with MacOS.
Tech
Why Elon Musk Is Not a Genius — The Myth of Private-Sector Efficiency
The idea that the public sector is inherently slow and inefficient has fueled a common belief: wherever possible, government services should be handed over t...
Politics
Why Elon Musk Is Not a Genius — The Myth of Private-Sector Efficiency
The idea that the public sector is inherently slow and inefficient has fueled a common belief: wherever possible, government services should be handed over t...
Space
Why Elon Musk Is Not a Genius — The Myth of Private-Sector Efficiency
The idea that the public sector is inherently slow and inefficient has fueled a common belief: wherever possible, government services should be handed over t...
Public Policy
Why Elon Musk Is Not a Genius — The Myth of Private-Sector Efficiency
The idea that the public sector is inherently slow and inefficient has fueled a common belief: wherever possible, government services should be handed over t...
Privatization
Why Elon Musk Is Not a Genius — The Myth of Private-Sector Efficiency
The idea that the public sector is inherently slow and inefficient has fueled a common belief: wherever possible, government services should be handed over t...