Lemongrass was perfect fit for Pick n Pay Cloud migration
Lemongrass was perfect fit for Pick n Pay Cloud migration
Pick n Pay ’ s cloud migration had the potential to be complicated and intense but , thanks to the expertise of Lemongrass , the project ran “ like clockwork ”
When executives at Pick n Pay were planning the retailer ’ s cloud migration , they knew it was imperative to bring on board a partner with indisputable expertise .
In Lemongrass , they found a specialist in putting SAP on the native hyperscale cloud .
The firm counts companies including Fender and Transport for London as some of its standout clients , and came recommended by AWS as a go-to partner thanks to its longevity in the market .
Pick n Pay cloud migration ‘ like clockwork ’
One might imagine that a cloud migration as complex as Pick n Pay ’ s would present all manner of obstacles . The reality could not have
been further from the truth . Mark Hirst , Managing Director for EMEA at Lemongrass , explains : “ You ’ ve got these big , expensive , businesscritical SAP systems and , actually , it all went like clockwork . This project went to plan , to budget , and the reason is that this is the only thing we do .”
Hirst picks out a few challenges his team encountered , but successfully mitigated . Lemongrass migrated Pick n Pay ’ s IT infrastructure with very little downtime , allowing the company to maintain its operations .
Automation was utilised to ward off system integration headaches , while cloud latency issues – common to this region – meant systems had to be hosted by data centres in both Africa and Europe .
A fruitful partnership
Lemongrass and Pick n Pay ’ s partnership will continue for several years and is effectively split into two halves . The first covers the migration itself , while the latter concerns “ operation and innovation ”.
Hirst adds : “ Our first set of objectives have been achieved . The systems are ultra-reliable and secure , and massive cost reduction has been delivered . “ We ’ re now starting the journey towards a second set of aims . How do we get native analytics ? How do we make SAP more scalable ? How do we automate it more ? That ’ s the journey we ’ re on .”