Deleted an Azure DevOps branch? Recovery is your responsibility. See how to restore branches and why a proper backup strategy is essential when failure strikes.
When you're building data pipelines in AWS, choosing between Managed Airflow and Step Functions isn't just a technical decision — it's a strategic one.
Observability as Code allows teams to prioritize monitoring and telemetry within the software delivery lifecycle. It greatly enhances the reliability of your systems.
Build an AI-augmented data lake using Iceberg, Glue, and Bedrock to turn static metadata into searchable intelligence with semantic tags and AI summaries.
Static IAM users, login roles were killing our security posture and slowing everyone down. So we wired Okta and AWS with SAML and Okta Workflows for JIT access.
Dynamic AWS environments require both reactive and proactive monitoring approaches for secure and reliable operations. Learn about their differences and best practices.
Learn how we replaced our traditional RDS serving layer with direct lakehouse querying to improve performance, reduce cost, and achieve real-time data freshness.
Learn how an SLO-first strategy transforms observability from reactive monitoring to proactive, outcome-driven reliability using OpenTelemetry and unified data practices.
Learn how to cut observability tool sprawl, adopt OpenTelemetry, and build a vendor-neutral, AI-ready observability stack for reliability at scale in 2025.
Build secure observability solutions for distributed edge environments using open-source telemetry. Achieve zero security incidents and full compliance.
Apache Iceberg + AWS Glue + S3 bring ACID, schema evolution, and time travel to data lakes—fixing schema drift, small files, and cost sprawl at enterprise scale.
The default settings in AWS Aurora Global may not work for everyone. This article explains various settings and their implications in availability and consistency.