Sooter SAALU's Writing Portfolio

Sooter SAALU's Writing Portfolio

Sooter is a data professional with over six years of experience in data-centric roles: data analyst, data scientist, and data engineer. He also has working experience as a Data-focused Documentation Specialist. This page is focused on sharing links to published technical writing works.

Technical Articles around Data, DevOps and Cloud Engineering

Tips for Deploying and Managing Gusto Embedded Integrations - Embedded BlogLearn how to successfully deploy and manage embedded payroll integrations with best practices for infrastructure, monitoring, and long-term maintenance.

CIP Compliance for Developers: Best Practices and Tools for Verifying User IdentitiesLearn how to integrate CIP compliance seamlessly into your app without compromising user experience.

Breaking Down Unified API Pricing: Why API-Call Pricing Stands OutIn this post, we’ll explore the most common pricing models for unified APIs, examine their pros and cons, and help you determine which one best fits your integration strategy. From account-based to API-call-based and hybrid pricing models like those offered by Apideck, we’ll unpack the business and technical tradeoffs to help you make informed decisions.

Deploy Traefik on Kubernetes with Helm for Easy IngressLearn how to deploy & configure Traefik as a Kubernetes Ingress controller using Helm, with best practices for routing, security & observability

Overcoming Challenges in Healthcare Identity Verification: A Developer's ToolkitLearn how to tackle healthcare identity verification challenges with advanced tools.

Top 5 ngrok alternatives to know in 2025Get a list of alternatives to ngrok that provide similar functionality. Learn more about ngrok alternatives that can address ngrok’s limitations.

Kubernetes monitoring made simpleLearn how to monitor Kubernetes effectively by tracking essential metrics across cluster, pod, and application levels. Optimize performance and prevent outages in your K8s environment.

The Definitive Guide to Clean Data Infrastructure | SecodaLearn how to optimize your data infrastructure with clean, accessible, and reliable processes. Explore the role of data lineage, automation, and metrics in improving efficiency, reducing complexity, and enhancing decision-making for your organization.

How eBPF is used for observability in large-scale systemsIts low overhead and efficient data collection minimize the impact of observability on your systems while providing deep visibility into kernel-level event

Mastering Effective Database Monitoring: Choosing the Best Tools for Optimal PerformanceDatabase monitoring is the continuous process of assessing the health, performance, and availability of your database systems. It involves tracking various metrics such as query speed, response times, error rates, and resource usage to ensure that your databases operate efficiently and effectively.

Keeping your automated data pipeline healthy and secureFrom handling the dynamism of big data to privacy, DR and efficient scaling, running a healthy automated data pipeline in the cloud isn’t trivial.

Bacalhau Over Traditional Data Processing(03:15)

Service Mocking with Internal Developer PlatformsService Mocking can accelerate dev cycles, especially as part of Internal Developer Platforms

Stream Processing: Enhancing Data Privacy and Security Across IndustriesThis article will guide you through examples from various industries to explore how stream processing enhances an organization's data privacy and security.

Hybrid Cloud Security: Common Challenges and Architecture Best Practices - ConductorOne

What is TLS Fingerprinting?Learn about TLS fingerprinting and how Bright Data utilizes it to mask proxies and enhance web scraping.

API Integration ServicesLearn about several popular API integration services, along with the pros and cons of outsourcing integrations to them.

Using Canary Deployments in KubernetesLearn how to use canary deployments in Kubernetes to mitigate the risks of application updates and ensure zero downtime for your users. This articl...

Deploying Machine Learning Models on Kubernetes with vCluster TutorialHow to deploy a machine learning model using Kubeflow's KServe on vCluster-enabled environment

The Difference between "Supports Kafka" and Kafka-NativeZilla is "Kafka-Native", but what does this mean, and more importantly why does this matter? Let's take a closer look.

Apache Kafka Security Models RundownA rundown on how security is handled in Apache Kafka deployments.

How to Build an Incremental Model for Events Using dbt and SnowflakeThe incremental model in data is a system that incrementally updates, adding new data to your data storage without overwriting or reprocessing the entire database. dbt has popularized this model for data transformations as an easy and more performant way to update your database, since the table is only updated with records from the last time dbt was run.

Up and Running in 5 Minutes With Dataiku and SnowflakeDiscover how to easily connect to your existing Snowflake Data Warehouse (and then prepare and process Snowflake data) all from within Dataiku.

How to Pull Employee Data from the BambooHR API (with examples)Learn how to pull Employee data from the Bamboo HR API.

CQRS and Event Sourcing with ZillaWhat are CQRS and event-sourcing, why do they matter, and how does Zilla unlock these modern architectural patterns?

Docker SlimLearn how to optimize your Docker images and containers with Docker Slim, a tool that can reduce image size up to thirty times without any manual o...

Make It Observable: Running Grafana in DockerLearn how to implement Grafana in Docker containers to add observability to your infrastructure, making debugging and performance optimization easi...

What Is Real User Monitoring (RUM) & Why It Matters

Does Machine Learning in Go Have a Future? | The GoLand BlogIn this article, you'll explore the challenges of actively using Go for Machine Learning.

What is Kubectl?kubectl is the Kubernetes-specific command line tool that lets you communicate and control Kubernetes clusters. Whether you’re creating, managing, or deleting resources on your Kubernetes platform, kubectl is an essential tool.

What to know about Kubernetes Development EnvironmentsThe environment you use for Kubernetes is usually your first decision when starting with the orchestration framework, and your choice…

Processing Time-Series Data with QuestDB and Apache Kafka | QuestDBStreaming market data to QuestDB using Golang and Apache Kafka

Five Tips for Faster Analytics with Postgres | Hydra

Snowflake Authorization and Permission Model Deep Dive - ConductorOne

How to solve the unexpected ‘’ syntax error in Snowflake | CensusError messages during coding are supposed to help you debug, but sometimes, these messages are more ambiguous than helpful — like the unexpected <EOF> error. Here's what it means and how to fix it.

How to get candidate statuses from applicant tracking systemsWe'll break down each step of getting candidate statuses from Workable using Merge.

API Contracts - an Extended Introduction · Bump.shAn API contract is a document that showcases how an API behaves and how it should be used.

Comparing enterprise messaging and event streamingLearn the difference between enterprise messaging and event streaming for real-time data processing.

Using and Pushing Docker Images With BazelLearn how to use Docker images with Bazel to enhance scalability and simplify the development process. This article explores the integration of Doc...

Foundational knowledge for getting started with OpenTelemetry in PythonPython application developers can use OpenTelemtery to enhance observability in their systems, troubleshoot issues efficiently and optimize performance wit

Getting started with monitoring - Metrics - BlogIn the third part of our "Getting started with monitoring" guide, we're focusing on metrics. We'll explore metrics, their benefits, and common tools you can use to gather metrics.

How to Schedule Text Messages from a Web App - OctopushExplore scheduling SMS messages and best practices including obtaining consent, and testing the timing and frequency in sending SMS messages.

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