Data glut is the problem. Data agility is the solution
Data Agility feels like
photo by jasephotos
Data glut data feels like
photo by Christophe Pfeilstücker
There is a problem in the IT industry: the problem of data. More precisely the problem is lack of data agility. Data agility means getting the right data to the right people at the right time. Data is the lifeblood of the applications that companies depend on to generate revenue. Data has to be pumped across project environments from production to development to QA to UAT.
A typical production database incurs a triple data copying tax. Data, ie copies of that production database, have to be pumped off to
Reporting and analytics databases
Development, QA and UAT environments
The backup portion alone is enough to saturate IT infrastructure on weekends or nightly jobs. When nightly and/or weekend job windows are not an option at global corporations running 24×7 when and how can data be pumped across the IT infrastructure?
Only with this life blood can applications run and can development projects move forward. Without the life blood of data, applications productivity falls off and development projects start failing.
A lot of people think they understand the data problem but let’s go through what we’ve seen with customers in the industry
96% of QA cycle time spent waiting on data for QA environments
95% data storage spent on duplicate data
90% of developer lost time is due to waiting for data in development environments
50% of DBA time spent making database copies
20% of bugs of production bugs slipping in because of using subsets in development and QA
The above metrics come from companies who took the time to quantify these measurements. Do you have metrics to show your operational expenses and results? If you can’t measure it then you can manage it
You can’t mange what you don’t measure.
How many copies of databases are in your IT department?
Which groups have copies?
How long does it take to provision a copy of a database?
How often does development need copies of database provisioned?
How much of your storage is due to duplicate database copies?
How long does it take QA to build an environment?
Are the QA suites destructive?
Do QA environments have to be rebuilt after each QA test cycle?
Are these environments rolled back? refreshed?
Can you answer these basic metrics?
We are seeing the following issues eating away at the revenue of companies we are talking to:
Slow environment build times cause project delays
Sharing copies causes programming bottlenecks, delaying coders
QA can’t run multiple tests in parallel, delaying QA
Subset databases in dev and QA allow bugs to slip into production
Slow QA environment builds allow more dependent code to be written on top of bugs before the bugs are found
Lack of QA environments and QA testing allowing more bugs into production
Storage cost of storage ownership. Storage is cheap. Managing storage is expensive.
DBA team time. DBA teams spending 50% of their time building database copies.
Higher development costs due lost developer days as developers wait for development environments
CIO magazine recently surveyed CIOs and found that on average CIOs had 46 projects yet 28 of them were behind schedule and/or over budget. That’s 60% of projects over budget and/or over schedule and of those 85% were delayed because of data and environment provisioning delays.
“Database environments are constantly getting bigger and bigger, and they’re increasingly the bottleneck,” said Tim Campos, CIO of Facebook. “If you have multiple projects going on, you have multiple copies of an environment you need to maintain. What ends up happening is you get an absolute sprawl in the database environment. Scaling that is particularly expensive for IT organizations. We have high expectations about how quickly new initiatives are rolled out and needed new technology to facilitate rollouts and support more projects simultaneously. With database virtualization, we get better use of hardware and our people. It can accelerate our enterprise application development projects significantly in the same time frame.”
Delphix reduces delays, bugs and costs. That’s why global industry leaders in all domains are turning to Delphix to accelerate their application development, transform their QA processes and eliminate thousands hours of DBA time , sysadmin, storage admin and management time that was previously required to deploy database copies and can now be done in minutes.
Companies have doubled or more development team output
QA has gone from 4% efficiency to 99% efficiency
DBA’s have gone from 8000 hours/year of database copying to 8 hours
Delphix accelerates application releases driving revenue growth while driving costs down.
“The most powerful thing that organization can do is to enable development and testing to get environments when they need them”
– Gene Kim, author of the Phoenix Project
gif by Steve Karam