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Cloud

Cloud platforms, managed services, architecture, cost, reliability, and security.

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News and analysis

Reporting, release notes, research, and technical guidance from across the industry.

Slack Engineering

How Slack built its next-generation EC2 platform

Slack describes the control plane, migration strategy, and operational safeguards behind its internal compute platform.

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Google Cloud

A GKE blueprint for securing AI at enterprise scale

Google Cloud lays out identity, isolation, policy, and observability controls for AI workloads on Kubernetes.

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AWS Architecture

How March Networks stores enterprise video on AWS

The architecture uses S3 tiers, secure ingestion, and centralised governance for video spread across many sites.

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AWS Architecture

How MAPFRE modernised fraud detection with EMR Serverless

The case study connects Iceberg, Airflow, graph features, model scoring, and production claims workflows.

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AWS

Amazon SQS turns 20

AWS revisits the design choices that made a simple message queue a durable building block for distributed systems.

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Tigera

OpenShell secures the agent that governs a fleet

Tigera looks at containment and network policy for agents with broad infrastructure privileges.

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Databricks

Apache Spark 4.2 arrives

Databricks highlights the query, streaming, Python, and operational changes in the new open-source release.

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Spacelift

How Terraform state encryption works

A practical guide explains what sensitive data lands in state and how encryption changes the threat model.

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Spacelift

Using an MCP server with Terraform workflows

Spacelift demonstrates where agent tooling can help infrastructure teams and where approvals still matter.

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BetterCloud

What the 2026 State of SaaS report says

BetterCloud’s data tracks application sprawl, automation, governance, and the workload now facing IT teams.

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CIO

Five ways CIOs can avoid AI bill shock

The advice centres on measurement, model routing, guardrails, and ownership before usage grows unchecked.

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Freestyle

Designing APIs for agents

Freestyle argues that agent-facing APIs need discoverability, bounded operations, useful errors, and safe retries.

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