Liberating Legacy Data
The latest buzz word in the Industry is Cloud
computing and there is a lot of efforts directed towards porting legacy data
which maybe residing in the IBM mainframes (banks, financial institutions,
automobile companies, insurance agencies, hospital records and even federal
government data). Some of us, who have been in the legacy world forever find it
difficult to understand why the IBM mainframe, which stood for security,
scalable infrastructure and volume computing, is in threat of being made a
relic by the new kid on the block-the Cloud. What really happened? The high MIPS
cost associated with legacy platforms has always been a pain point for
organizations using them. The ever-increasing volume of data requires these investments
to multiply with each passing year. Cost effectiveness is the key driver behind
the efforts to move data to a new age, more flexible storage solution which can
grow as required without burning a hole in the IT budget.
Larger firms have begun experimenting their way
out of green screens, some have started moving to cloud, new tech companies are
already using cloud in the IaaS, PasS or SaaS models. Few are using cloud together
with on-premise to create a hybrid solution. Large financial institutions are
venturing to the arena, for e.g. JP Morgan has created a public cloud called
Gia. There are still some who prefer UDB or are trying to get data out of IBM
mainframe.
As wiki puts it “Cloud computing is the
on-demand availability of computer system resources, especially data storage
and computing power, without direct active management by the user.” This is
where Mainframe gets a blow – with the firms who really want to pay only per
usage or increase computing power on high volume days automatically. Mainframe
has always been a cash cow – with MIPS usage being billed as per contract and
peek time MIPS made even costlier, high volume days MIPS are charged even
higher and all firms are bound by a contract – even if a firm manages to cut
down mainframe usage we are bound by a contract before its renegotiated. Fast
forward to cloud and there is a distinct advantage to the firms – since you pay
per usage only and that too at a price significantly lower than Mainframes.
Cloud is not without its short comings. There
are major concerns around latency and data privacy which revolve around the
following:
- Most of the cloud service providers are US companies which means that has most of their data centers residing in US and the companies themselves are governed by the US laws.
- With the datacenters remotely available in various parts of the world, there is a bit of latency in accessing data from cloud. Most cloud customers aim for data centers to be located locally to reduce this latency.
- Vulnerability to attacks – since data is transmitted via internet there is a probability that this is subject to information theft. Though advanced security measures are deployed, storing and moving confidential data in cloud has the smallest bit of risk associated with it.
- Labour and training – Its been said that "Technology is just means to the business”. What the industry will have to do is to step forward to train its current staff on cloud – since business knowledge becomes the core competencies for larger firms.
For a large mainframe of more than 11,000 MIPS,
the average annual cost per installed MIPS is about $1,600. Hardware and
software accounts for 65 percent of this, or approximately $1,040.
Consequently, the determined annual infrastructure cost for a 15,200 MIPS
mainframe is approximately $16 million. On the AWS side, using the AWS Simple
Monthly Calculator to configure a similar infrastructure to the performance
test, we estimated the annual cost to be around $350,000 ($29,000 monthly).
This AWS cost could be further optimized with Amazon EC2 Reserved Instances.
(Source: aws.amazon.com blogs).
Just kicking my grey cells – is Amazon going to
be next IBM since they are already the world leader in cloud computing and
management. What IBM did many years ago of selling
“Infrastructure-as-a-service” through the release of IBM mainframe is being replayed
by cloud service providers like Amazon, Microsoft, Alibaba and Google. With IBM
taking over RedHat, is IBM getting back in the game of cloud computing?
Whatever the outcome - I plan to start writing
on a series of tools and methods which can help in the migration of data out of
mainframe to cloud or UDB or Linux. It
is time we take this bull by the horn.