Find articles
12 results for “observability”
Route 53 DNS Analytics Turns Query Logs into Actionable CloudWatch Metrics
AWS adds native CloudWatch integration to Route 53 Global Resolver and DNS Firewall, enabling metric filters and alarms on DNS query patterns.
Running Multi-Day AZ Evacuation Drills with ARC Zonal Shift
Learn how to run a 48-72 hour Availability Zone evacuation drill using ARC Zonal Shift across ECS, EKS, RDS, and Aurora PostgreSQL with step-by-step CLI commands and observability practices.
Fix pod distribution drift in Amazon EKS using the Kubernetes descheduler
Learn how topology spread constraints drift after node disruptions and how the Kubernetes descheduler restores even pod distribution across Availability Zones in Amazon EKS without downtime.
Azure Developer CLI Extension Framework GA Enables Custom Dev Workflows
The Azure Developer CLI (azd) extension framework is now generally available, allowing teams to build and share custom workflows for project initialization, deployment, and validation.
Azure MCP Server 2.0 GA Delivers Self-Hosted Agentic Automation
Azure MCP Server 2.0 reaches general availability with self-hosting support, security hardening, and performance gains for agentic workflows.
Microsoft releases Cloud Web Applications Threat Matrix aligned with MITRE ATT&CK
Microsoft introduces a MITRE ATT&CK-aligned threat matrix to map and mitigate risks in cloud-hosted web apps and serverless platforms.
Microsoft Defender adds AI-themed attack detection for phishing and malware
Microsoft Defender now identifies and disrupts AI-generated phishing, malware, and multi-stage attacks across the kill chain using behavioral and content analysis.
Encrypt ECS traffic with VPC encryption controls and Service Connect TLS on Fargate
Learn how to enable network-layer encryption via VPC encryption controls and application-layer encryption via Service Connect TLS for Amazon ECS workloads on AWS Fargate, then verify encryption in VPC Flow Logs.
10 questions every startup should answer before moving AI prototypes to production on GCP
Before scaling an AI prototype, startups must answer ten critical questions covering onboarding, scaling, and governance to avoid common pitfalls like leaked keys, quota exhaustion, and uncontrolled costs.