Dev-Ops for Business Growth?


Dev-Ops for Business Growth?

Organizations are now slowly getting seized of the benefits of DevOps – the concept / culture / strategy / paradigm that is likely to usher in a paradigm shift in how the IT business community harnesses DevOps to ensure efficient and timely delivery. A DevOps anchored model holds much promise in the future for business enterprises of all types; regardless of the extent of dependency business operations have on their IT infrastructure.

What’s DevOps?

It is, as it stands today, the agile-scrum development methodology hinged to a seamless collaboration between the developers and the IT operations team.

MSRCosmos  devops

Agility & collaboration seem to be of utmost importance here, for collaborative efforts within the IT ecosystem (i.e. the development and IT operations teams) ensure a very fruitful product or solution life-cycle, thus, in the process, enhancing ROI. From conceptualization, coding, reviewing, quality assurance, to deployment, monitoring and, support and maintenance, the synergy between the development and the IT operations teams will go a long way in accruing the benefits of the agile development methodology. The immediate benefits being cutting down on the latency from the development-to-delivery cycle leading to faster time-to-market and currency in the marketing of all the offerings, which means more visibility and, hence, increased adoption of the service offering or solution. This amounts to enabling increased patronage and, brand recognition and association. One would like to think that all these combined can potentially result in increased revenues and profitability.

Now, back to the point of how DevOps will likely aid in its own way a more efficient data and analytics driven business culture for most enterprises, if not all. One can argue that the big-data way is, perhaps, not the be-all and end-all of it. In fact, like DevOps, it is still in the nascent stages of its development as a full-blown IT strategy or practice.

The point being, since real-time data analytics -the off-shoot of big-data analytics– is increasingly proving to be the fulcrum of business decision-making, DevOps with its omni-present and omni-productive self (if it can be said) can perfectly play the complementary role to analytics.

How and when is not really difficult to decipher. Faster time-to-market meaning faster delivery of features & functionalities in a relatively stable operating environment allows for more time to add value to the product or service being offered. This is possible with the application of real-time analytics at every interaction that the end-customer has with the business. Every digital footprint the interaction leaves is a source for introspection, review, and course-correction (as the case may be), or simply, to just offer more value – e.g. a great user experience. This can be determined through analytics on streaming data, the results of which can then be used, as we all know, to find some actionable insights such as to identify a business opportunity that is knocking the door, or a concern nested in the type of behavior or interaction needing immediate attention, and so on.

The actionable aspects that relate to an IT solution or offerings or a business process enabled by IT, can be easily addressed if one has adopted the DevOps culture in the enterprise.

So, as it turns out, the scenario could look something like the one depicted in the image below.

MSRCosmos  devops

As we can see, it is likely to be a win-win situation for all types of stake-holders the DevOps team, the business decision-makers and, the customers. Analytics enabling decision-making towards course-correction or feature(s) addition(s) and DevOps facilitating the fructification of those decisions and the most important entity, customer, availing the benefits of the engagement with the brand or product or service.

All in all, here’s anticipating, like the Dev-Ops combo, a purposeful DevOps-Analytics combo in the not-so distant future, for delivering just the right solutions, at the right time!
– Vikas


The Hadoop Summit 2016, San Jose – Through the eyes of the MSRCosmos big-data & analytics team.

Believe it or not, we are yet to fully come out of the hang-over of the exhilarating event, which was as much energy-sapping as it was gratifying.

Imagine two days of (rigorous) training on big-data, followed by inspiring key notes, the uber-cool exhibits – cutting-edge technologies, custom-solutions, some really out-of-the-box ideas (clichéd? yeah – it appeared most befitting), unique presentations (Proofs-of-concept, use-cases, live demos, etc.), and the fantastic opportunity to network for all in the big-data and Hadoop realm. Did we mention Hortonworks celebrating 10 years of Hadoop success on the 2nd day – accompanied by lilting music, great food and drinks?

What more could one ask for?

Now, let’s tell you what all happened at the summit, as we saw it.

Apache NiFi & Hortonworks DataFlow (HDF) rock!

To put it simply, these two phrases were the torch-bearers for everything else that was to transpire in the conversations during the summit. Why?

Hadoop Summit 2016

Figure this:

Two platforms that have their identity for data-in-motion (collecting, curating, analyzing, and delivering real-time data) were the top buzzwords throughout the event: the Hadoop Summit bears the name of the platform that has revolutionized processing data-at-rest.

Obviously, there was a definite connection as not all the data coming in from a connected world (especially the Internet of Things) is going to readily have insights in real-time for stake-holders. Some of it has to make do as historical data or data-at-rest. Which means, the data-in-motion and data-at-rest processing combo –in parallel with Hadoop– has relevance in many operational and business scenarios. That is precisely why Apache NiFi, which enables bi-directional data flow (and much more), and Hortonworks DataFlow (HDF) , which collects, curates, analyzes, and delivers real-time data from IoAT (Internet of Anything) to data-stores with help from Apache NiFi, were much talked about and endorsed in the Hadoop event.

Enthusiasm at its peak!
Although the turn-out appeared a tad less compared to last time, it was a good mix. There were companies (about 40% of them) who were exploring options through the big-data path to business transformation, while the rest (almost 60%) were those with existing environments, who had come to seek answers to very specific questions relating to big-data implementations.

However, if one gauged the success or fruitfulness of a community event like the Hadoop Summit, based on the quality of representation in terms of industries and the level of executives representing them, then this would have to go down as one of the most successful ones in recent history. From the tech-savvy commoners, to experts and business heads representing various verticals including life-sciences (pharma, health-care, medical devices, clinical trials), universities, manufacturing, retail, e-business, insurance, energy, utilities, and financial services – the summit had them all. Every one of those participated in the event with much zeal, and curiosity even, to explore the best use-cases and some readymade solutions, if any, for respective industries.

They were looking to talk to the right people to get the right information and, importantly, the way forward with their big-data projects as indeed the predicaments thereof.

The discussions…

There were many novel presentations for sure, but the overall and defining under-current of discussions throughout the 3-day event revolved around finding ways to maximize business benefits from existing Hadoop environments.

Hadoop Summit 2016

That inevitably led to further and very detailed discussions on the pain points of their current big-data initiatives or projects, and finding their solutions.

Some of the major concerns / challenges / requirements we observed were:

  • Security & administration issues
  • Data fine-tuning & analysis needs
  • Data clogging issues
  • Increased ingestion cycles hurting analytics, decision-making, etc.
  • Inability to ingest live-streaming data
  • Migration requirements

While we expected it to be a crippling issue & were well prepared to present our fare, we were not expecting this huge interest in finding answers to their security & administration related problems with regards to their big-data and analytics implementations. The optimism pervading the pre-event air, as far as we were concerned, related to finding new avenues for revenues (eventually) from the business data. Nonetheless, we were more than willing to pay attention to what the concerned businesses had to say about their security and administration related problems. Even companies that had a matured big-data set-up expressed similar concerns.

But there was help at hand for them from our big data CoE team which, from then on, also gave multiple sessions (at our booth E26) on “How to keep big-data environments secure”, be it on cloud or on-premises or hybrid environments, and elaborated on the multi-level security solutions.

MSRCosmos Hadoop Summit 2016

Big-data analytics adoption…

We are aware of the fact that most of the business world has come to acknowledge the importance of big data analytics. However, not all have a set-up in place that will help them make good of their business data. One of the major impediments to this is the initial investment required (some actual while some perceived) as indeed the extensive preparation for the same.

We are a comprehensive big data analytics solutions company, aren’t we? How can it be comprehensive if we didn’t have a solution for this too!

The solution is our ‘’Big-Data Jumpstart” program which helps companies to get a quick-start to their big-data projects. The same was demonstrated to many customers (convinced of big-data possibilities) with an intention of rolling-out initiatives for data analytics. In fact, many attendees whose companies don’t yet have a big-data set-up but were on the verge of implementing one (and defining the road map), felt that the Jumpstart program would be very useful to them. One of our existing customers currently contemplating a big-data analytics implementation, was also one of them.

Although, we felt that not everyone who is in the big-data space, or at least not everyone who could benefit from it, was there, there were enough positive vibes for the likes of us to feel elated and excited by how the event turned out to be.

Seeing the big-data space through the eyes of the customers, and being able to explain why and how big-data analytics will help their businesses, kept us going. We presented enough to sustain the interest through very detailed use-case scenarios. HCube received enormous response from many customers who were suffering with issues like data clogging, increased ingestion cycle, unable to ingest live-stream data, etc. HCube, evolving into a one-stop solution for all the ELTA (extract, load, transform, & analyze) needs of big-data implementers (with an in-built scheduler to boot!), also greatly impressed many technical experts as a perfect solution for their burning needs.

Further, our industry-specific packaged solutions for many industry verticals added extra zing to the conversations with visitors (to our booth). We strongly feel that, with the very good responses we got for our industry-specific packaged solutions, HCube, big-data jumpstart, and CoE that enable process / model transformation as indeed business realization, the myth of big-data being a vision without reality was broken to a good extent.

Rounding it off with Grand Raffle…

Our celebrations of the event had begun on the concluding day itself when we arranged a grand raffle for participants. We raffled off Samsung Gear (watch) and Fitbits to the lucky winners!

MSRCosmos hadoop Winner

We continue to help business leaders such as CIOs & CTOs in becoming business enablers, by providing them access to proven and exemplary big-data analytics expertise through our big-data COE and a full range of big-data managed services.

Write in to us ( or call us (925 399-4218) if you have any queries.


MSRCosmos At The Hadoop Summit, 2016 (June 28 – 30), San Jose, CA.

What a summit it was for the big-data (Hadoop) and the business communities at the Hadoop Summit, 2016 (June 28-30), San Jose! Many solutions pioneers and enthusiasts alike just rocked; kudos to all who made it really worthwhile. MSRCosmos is very glad to have been associated with, and contributed, to the event not only through the Wi-Fi sponsorship (we hope you had a seamless experience), but especially through live demos and presentations of its frameworks and accelerators –HCube and, the many industry-specific and pre-defined data analytics solutions— that are designed to empower you with timely and highly effective analysis of your business data.

Contact to know how we can help your business grow, through avenues made possible by big-data analytics.

MSRCosmos Hadoop Summit 2016

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