Roadmap review and retrospective 2017: DevOps way

DevOps DevOps as Code Pipeline – the ultimate cultural tool Delivering changes for databases (including databases in the DevOps routine) Database Data masking Data generation Source Control Redgate SQL Source Control Migrations vs State Continuous Integration Jenkins 2 TeamCity Travis CI VSTS Build Continuous Delivery Octopus Deploy (@ Linux) VSTS Release Management Configuration Management Puppet Logging Elastic stack (Logstash, Elastic Search, Kibana) Monitoring Azure Monitor Datadog Azure Azure Resource Manager Web Apps SQL Database AWS The basics – resources creation,

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Roadmap review and retrospective 2016: DbOps definition

Source Control Mercurial (TortoiseHg) vs Git (SourceTree) Flyway Redgate (Source Control, DLM Automation Suite) ReadyRoll Continuous Integration Jenkins TFS Build vNext (2015) Database unit/integration tests tSQLt DbFit Continuous Delivery Octopus Deploy TFS Release Management (2015) Infrastruture as Code Chef Puppet Powershell DSC Azure Resource Manager During 2016 the main focus around DevOps was the its definition. My DevOps definition was built around databases operations and development (hence the title “DbOps”). The plan was to cover the 3 stages of the

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Scrum Gathering Portugal 2016

Scrum Gathering Portugal was my last event of  2016. My good friend Miguel Alho (@MytyMyky) and I delivered the workshop “DevOps: delivering changes for applications and databases”. The purpose was to explore the key technical (and cultural) aspects of creating a continuous delivery pipeline, from code inception to getting the conde into production. We created so much and so good material that we hope we can repeat this experience/workshop in the future.

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