Before you hire a DevOps engineer, work out whether you have a people problem or a platform problem. Most teams posting a DevOps role have five engineers each solving deployment slightly differently, and they’re hoping a hire will unify it. That’s…
Cloud cost optimization services: what you’re actually buying
A cloud cost optimization service is an ongoing, productised engagement where a provider continuously finds and removes waste in your cloud spend, usually combining a platform, a recurring review cadence, and some amount of hands-on remediation. It sits between buying a…
DevOps Managed Services: What’s In Scope and What Isn’t
DevOps managed services are an ongoing contract where an external provider operates some or all of your delivery infrastructure: CI/CD pipelines, infrastructure-as-code, environment provisioning, monitoring, and often incident response. Unlike a consulting engagement, it has no end date and no handover….
FinOps consulting: what to look for, and when you actually need it
FinOps consulting is outside help to build or fix an internal FinOps practice: assessing where your cost visibility breaks, implementing allocation and reporting, and transferring the operating cadence to your own team. The good engagements end with your team running it….
What is FinOps? A complete guide to the practice, the framework, and what it looks like when it works
FinOps is an operational framework and cultural practice which maximizes the business value of technology, enables timely data-driven decision making, and creates financial accountability through collaboration between engineering, finance, and business teams. That is the official definition, ratified by the FinOps…
GitOps vs DevOps: what’s the difference?
Both terms end in “Ops.” Both are about shipping software through automation, both revolve around Git, and both are raised by the same engineers in the same meetings. The comparison feels natural enough, but it puts two things side by side…
Terraform vs Kubernetes: what each does and how they work together
The confusion is reasonable. Both tools are declarative. Both reconcile actual state against desired state. Both live in the cloud native ecosystem, both get configured in text files checked into Git, and both show up in the same job descriptions. So…
LLM observability: what to monitor when nothing is technically broken
LLM observability is the practice of instrumenting AI applications so you can see what a model was asked, what it returned, what it cost, and whether the output was correct. It differs from traditional monitoring in one specific way: an LLM…
Kubernetes security best practices for production clusters
In 2025, attackers robbed a cryptocurrency exchange without using a single exploit. They phished a developer, borrowed their open cloud session to slip one ordinary-looking pod into production, and had it read the identity token Kubernetes clips inside almost every container…
Datadog alternatives for Kubernetes teams: what to weigh before you switch
Almost nobody starts looking for a Datadog alternative because they hate Datadog. They start because a renewal quote landed and it was 40% higher than last year, and nobody on the team can explain exactly why. Or because a cardinality spike…
