As　cloud　computing　offers　scalability,　extensibility,　elasticity,　flexibility　and　cost　savings　to　the　customers　of　cloud　service　providers,　there　is　a　growing　trend　towards　migrating　services　to　the　cloud.　Hybrid　clouds,　which　comprise　nodes　both　in　the　private　cloud　and　in　the　public　cloud,　have　emerged　as　a　new　model　for　service　providers　to　deploy　their　services.　However,　to　deploy　services　in　hybrid　clouds　is　a　complex　task　as　services　are　in　essence　distributed　applications.　What　is　more,　there　is　heterogeneity　among　hybrid　clouds.　This　article　proposes　an　autonomous　engine　for　services　configuration　and　deployment　in　hybrid　clouds.　The　automation　is　enabled　by　the　definition　of　generic　information　model,　which　describes　all　the　information　relevant　to　the　deployment　and　configuration　of　services　with　the　same　abstractions,　including　the　required　resources,　service　dependencies　and　business　objectives.　In　addition,　to　shield　the　heterogeneity　of　hybrid　clouds,　we　define　mapping　rules　for　model　transformation.　We　also　deploy　a　three-layer　architecture　application　on　Openstack　and　CloudStack　to　validate　the　correctness　of　our　approach.　©　Springer　International　Publishing　Switzerland　2015.