Guides, comparisons, and real-world proof from the engineers who run Kubernetes, cloud, DevOps, SRE, platform, and AI infrastructure for a living. Pick a topic, or browse everything below.
Practical guidance on Kubernetes, cloud, DevOps, reliability, and the platform work behind them.
Choosing a Google Cloud consulting company is mainly about finding the right fit for your project. A company that is excellent at AI and…
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Side-by-side breakdowns and honest vendor roundups, so you can choose with the trade-offs in view.
Choosing a Google Cloud consulting company is mainly about finding the right fit for your project. A company that is excellent at AI and…
Read moreA cloud cost audit is a short, bounded engagement, not a retainer. Here's what a good one includes, the red flags to watch for,…
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Ten AWS consulting companies compared for 2026 — verified partner status, current ownership, and three firms on other lists you can no longer hire.
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Ten US Azure consulting firms compared for 2026 — what each is good at, current ownership, and which widely-listed firms no longer exist on…
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GitOps and DevOps aren't competing approaches. DevOps is a culture spanning the delivery lifecycle; GitOps is an operational model for deployment. The distinction, the…
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Terraform provisions infrastructure. Kubernetes orchestrates containers. They aren't alternatives. A practitioner's guide to what each does, where the boundary goes, and why Terraform managing…
Read moreHow we've run migrations, platforms, and observability for regulated and high-traffic teams.
A global financial services organisation running mission-critical Kubernetes workloads needed to eliminate developer bottlenecks, enforce security at scale, and give teams a consistent path…
Read moreA multi-site enterprise running 54 Windows Server workloads across six network segments needed to leave its ageing VMware infrastructure behind, without disrupting the 100+…
Read moreA US Banking SaaS provider serving multiple enterprise banking clients needed production-grade observability – metrics, logs, and traces – automatically provisioned for every new…
Read moreClusters, networking, cost, and security
When multiple Kubernetes clusters solve a real problem, what Karmada, Rancher Fleet, and Argo CD ApplicationSets actually do, and how to pick between them.
Read moreTerraform provisions infrastructure. Kubernetes orchestrates containers. They aren't alternatives. A practitioner's guide to what each does, where the boundary goes, and why Terraform managing…
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Kubernetes security best practices for production clusters, ranked by what actually stops attacks: RBAC, tokens, Pod Security Standards, and what breaks.
Read moreMigration, modernization, and managed cloud
How to build an on-premise to cloud migration strategy: sorting workloads, an honest business case, choosing the order, and knowing what should stay put.
Read moreEvery Datadog product and what it actually costs, per host, per GB, per session, per committer. The real numbers, not the sales deck.
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Cloud cost optimization services explained: the four delivery models, why "we'll cut your bill 30%" offers are structured that way, and the checks that…
Read moreCI/CD, automation, metrics, and delivery
Before you hire a DevOps engineer, check you don't actually need a platform. What the role is in 2026, what it costs, how to…
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A scope-of-work teardown of DevOps managed services: what's always in scope, what's quietly excluded, how providers price it, and the four contract clauses to…
Read moreGitOps and DevOps aren't competing approaches. DevOps is a culture spanning the delivery lifecycle; GitOps is an operational model for deployment. The distinction, the…
Read moreInternal developer platforms and golden paths
Platform engineering is not DevOps renamed. 80% of large orgs now have platform teams, but 70% of them fail to deliver impact. Here is…
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Understand SRE vs Platform Engineering, key differences, responsibilities, and how teams balance reliability, developer velocity, and scale.
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Learn what platform engineering is, how it improves developer workflows, automation, scalability, and modern cloud infrastructure operations.
Read moreMetrics, logs, traces, and monitoring
LLM observability explained: what to monitor, which open-source tools to use, and why OpenTelemetry's GenAI conventions still aren't stable. With 2026 survey data.
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Learn why many observability programs fail after deployment and how strategy, workflows, and engineering culture impact long-term success.
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Learn the difference between monitoring and observability, including metrics, logging, tracing, incident detection, and system visibility.
Read moreShort definitions of the concepts behind modern infrastructure.
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