Cloud Services

Migration, deployment, and cost optimization

Moving to the cloud is rarely the hard part. Running well on it afterwards is. Plenty of teams complete a migration and then find the bill climbing every month, the environment impossible to rebuild, and a handful of people the only ones who understand how any of it fits together.

What this covers

What this covers

Four things every engagement of this kind produces. What they amount to depends on where you are starting from.

  1. An environment that can be rebuilt

    An environment that can be rebuilt

    Infrastructure described in code and standing up from nothing, so recovery is a procedure rather than an excavation. It is also the only honest test of whether the documentation is true.

  2. A bill you can explain

    A bill you can explain

    Spend attributed to the workloads that cause it, and the largest lines understood before anything is tuned. Cost work that opens with a discount rather than a breakdown usually just moves the problem.

  3. Migration in stages

    Migration in stages

    Moved in pieces, with a way back at each one, rather than in a single cutover weekend. The order is chosen so the least reversible step happens last.

  4. Operations your team can run

    Operations your team can run

    Access, alerting and runbooks handed to the people who will be on call. If we are the only ones who can operate it, the migration is not finished.

What we have run in production

The named services behind the work, on the two clouds most of it has been on.

AWS

  • S3
  • Redshift
  • Glue
  • Step Functions
  • Kinesis
  • EC2
  • EventBridge

Azure

  • Data Lake Storage
  • Functions
  • Synapse
  • Data Factory
  • Power BI

How the work runs

The same four stages whichever service the work sits under, Cloud Services included.

  1. Find out where you actually are

    A short review first: what you are running now, what it costs, and where the work is genuinely blocked. It is a look at the estate, not a pitch.

  2. Come back with options, not one answer

    The realistic paths and what each would cost you, including the skills your team already has and how hard the choice would be to reverse later. Sometimes the recommendation is to leave it alone.

  3. Build it in increments

    One workflow, built and put in front of real users, before anyone commits to a larger scope. It is the fastest way to find out whether we understood the problem correctly.

  4. Leave it running without us

    Readable pipelines, alerting that speaks up instead of failing quietly, and documentation your own team can follow. A good handover is the point of the engagement, not an afterthought at the end of it.