Learn how ansible.eda.json_filter and ansible.eda.normalize_keys streamline event data for Ansible automation. Simplify, standardize, and speed up workflows.
This intro to mastering Fluent Bit covers what Fluent Bit is, why you want to use it on Kubernetes, and how to get it collecting logs on a cluster in minutes.
This article explores different base image types — scratch, Alpine, and distroless — and shares practical tips for building efficient, secure Docker images.
Internal developer portals centralize tools and streamline workflows for developers to work more efficiently and independently, accelerating software delivery.
DevSecOps is now growing more than ever. Let's discuss how integrating Security as Code can affect your organization. Check out the benefits along with best practices!
In this article, learn how the 4 R’s — robust architecture, resumability, recoverability, and redundancy — enhance reliability in AI and ML data pipelines.
This is a walkthrough of the process for building an automated data pipeline with dynamic table capabilities in Snowflake for various refresh frequencies.
Learn to build scalable, fault-tolerant, and observable data pipelines with Apache Airflow, focusing on real-time insights and custom reporting for enterprise SaaS.
Automate Jira workflows via API with Python: tickets on pipeline failures, JQL reports, and data sync. Start with failed transfers and expand to dashboards and testing.
Enhance Jenkins pipelines with shift-left input validation using a shared library—catch configuration errors early, boost reliability, and accelerate development.
This article introduces Contextual AI Integration for agile product teams. Stop treating AI as a team member to “onboard;“ AI is a tool that requires context.
Clean and normalize event data in Ansible Event-Driven Automation (EDA) with the ansible.eda.dashes_to_underscores filter for smoother, more reliable automation.
Java evolves for serverless Kubernetes with Quarkus and Loom, tackling microservices and events, with cold start hurdles but a strong future in cloud-native apps.
AI’s your DevOps wingman—handles the dull crap, sniffs out issues early, and keeps things humming. Early alerts, slick CI/CD testing, and self-fixing systems, all in one.
Dive into modern stack recommendations for building robust and scalable systems. This stack is agnostic and can be integrated into all programming languages.
Platform engineering empowers cloud teams by streamlining infrastructure, automating workflows, and enhancing developer experience to drive efficiency and innovation.