Co- Founder & CEO of PlanckDOT Technologies | 29 Mar, 2024
Not long ago, the tech world
buzzed with the promise of cloud computing: revolutionizing how corporations
work, slashing costs, and ushering in a new era of agility. So, everyone jumped
on board, migrating data and workloads with one goal in mind – the cloud
nirvana.
But for many corporations, the
dream turned sour. As Shishir Miglani, Co-Founder & CEO of Planckdot
Technologies, explains, "The cloud isn't a one-size-fits-all solution'. This
realization fueled a wave of 'cloud repatriation,' with companies returning to
the familiar ground of data centers. Unexpected fees, security concerns, and a
mismatch between corporate needs and cloud offerings drove this shift. Now,
prefab containerized Edge Data Centers (EDCs) emerge as a compelling
alternative, offering cost savings, security, and flexibility. In essence,
while public cloud promised agility and cost savings, it's the predictable
costs and direct ownership of data centres and on-prim cloud solutions now
regain appeal."
Unexpected Pricing Metrics
Public Cloud providers presented
corporations with a paradigm shift in how they thought about infrastructure
pricing, promising significant cost cuts. However, the reality painted a
different picture. Not only did the complex pricing structures with hidden fees
and unexpected charges burden IT managers with the tedious task of deciphering
and auditing monthly bills, but it also exacerbated security concerns. Ensuring
compliance with intricate corporate requirements became a significant
challenge. To compound these issues, tackling security aspects in the cloud
inflated costs disproportionately, leaving IT teams constantly searching for
ways to track and curtail monthly expenses without impacting applications.
Large corporations thrive on
clearly defined cost centers and operate efficiently within set budgets. Data
centers provided just that – a well-defined cost component. Resources weren't
dedicated solely to auditing expenses or combating unpredictable price
fluctuations. Now, cloud necessitates deploying entire teams to manage these
aspects before cost fluctuations breach budget allocations. The arduous task of
deciphering cloud costs is further complicated by lengthy, page-turning bills –
rendering the "paperless" initiative ironic.
But cloud's biggest misstep lies
in its inability to cater to most corporate needs, which are often not
cutting-edge like Generative AIs. This mismatch results in exorbitant costs for
corporations without delivering on the promised cost savings. This unexpected
reality left them stunned, grappling with the newly created problems of cost
disparities and security concerns amidst privacy anxieties.
Embracing prefab container edge
data centers
This exodus from the public cloud
has created an opportunity for a new player - Prefab Container Edge Data
Centers (EDCs). Interestingly, these EDCs address most of the concerns that
drove corporations away from the public cloud.
Security is a top priority, with
prefab containerized EDCs being designed to meet compliance standards and
adhere to tier compliant infrastructure, ensuring data privacy and integrity.
Additionally, they provide significant savings on real estate while still
ensuring accessibility to a physical data center with on-prim cloud, often on
an exclusive basis. Furthermore, these solutions offer a fixed-cost model,
allowing for effective planning for future growth without unexpected expenses.
Unlike public cloud services where pricing fluctuations can be unpredictable,
there are no surprises in cost with prefab containerized EDCs, eliminating the
need for extensive audits. Moreover, owning a data center through this solution
is often more cost-effective than traditional on-premise systems.
Clients can track and manage
their EDCs conveniently through a mobile application enabling real time
monitoring, alerts and remote control. The flexibility of prefab containerized
EDCs allows corporations to tailor their infrastructure to their specific
needs, enabling efficient adaptation to evolving requirements without the need
for constant adjustments.