|By Adam Wilson||
|March 29, 2012 05:00 AM EDT||
Application owners / senior-level IT allocate a certain percentage of their budget to sustaining, enhancing, and transforming their applications. In most organizations, the largest percentage of the IT spend is on sustaining the applications or basically "keep the lights on" type of activities, which leaves little money to enhance them to support business agility and new business requirements, or transform them to leap frog over the competition. Organizations that implement a solid data management strategy in support of their applications can maximize the return from their application investments. They can lower the cost of sustaining their applications, thus releasing budget to do what they should be doing, which is supporting the needs of the business. Innovative CIOs are actually rethinking their application environments, from just focusing on the application - the code, middleware, infrastructure, etc., to a new focus on the underlying data that supports the application. This new focus enables them to release budget and complexity from sustaining their apps, do what they do much better when it comes to enhancing their apps, and do brand new things they couldn't do before within their applications that will give them the competitive edge they are looking for.
How to Lower the Cost and Complexity of Sustaining Your Business Applications
Of all the things that keep organizations from realizing the best possible return on their data assets, enterprise application environments reside at the very top. Face it, application environments today are large, complex and generally inflexible constructs. Most companies have dozens of different types of key applications supporting countless business processes. Not only are the data volumes huge and the different data types numerous, but the data is often duplicative and the applications redundant across various business units. Moreover, the data is frequently hard to get to, the applications difficult to integrate and the quality of the data frequently questionable. No wonder it is such a challenge to provide a single comprehensive view of the critical data that the business uses every day.
This series of articles is aimed at helping organizations maximize the value of their data and applications, by moving beyond merely sustaining applications to enhancing them to support business agility and to transforming them to drive business innovation and growth. Because many organizations spend far too much of their IT budget on sustaining applications, it is important to first discover ways to lower the costs and complexity, freeing up budget and resources for innovation.
Cutting the Costs of "Keeping on the Lights"
There is a common set of challenges that most companies face around sustaining applications. These include:
- Application Bloat - Whether the result of mergers and acquisitions, or business units going off and buying their own applications, many companies are rife with redundant applications that soak up maintenance time and money.
- Data Sprawl - Companies frequently experience diminished application performance as the amount of data within the application grows. This in turn makes it difficult to meet SLAs and forces the purchase of additional hardware, leading to further costs.
- Proliferating Integration Interfaces - There is a major challenge around integrating silo'd applications, and in dealing with the number and complexity of the interfaces required, which again increases costs.
- Security and Privacy - Finally, there are the efforts and costs involved with securing the data in non-production applications, and the specter of fines should you fail to meet regulatory requirements around information privacy.
There are a number of initiatives that companies typically pursue to try to reduce the costs and efforts of sustaining applications. These include rationalizing the application portfolio by sending duplicative or inactive applications to the "application retirement home," archiving inactive data to improve application performance, masking sensitive data to meet security and privacy requirements, and finding ways to reduce the costs and complexity around integrating applications. The hitch is that organizations are trying to do all these things on a fixed budget and with a finite set of resources. Hence these initiatives have to be pursued very intelligently, making use of the best possible technologies to yield the greatest return on effort.
Getting the Most from Application Retirement
Capable of paying major dividends, application rationalization is an initiative being pursued by a good many organizations. Consequently, according to Gartner, by 2020, half of all applications that are running in data centers as of 2010 will be retired. If true, that represents a magnificent savings.
What does it take to retire redundant or obsolete applications and still provide seamless access to the archived data? Just because the application has outlived its usefulness, that doesn't mean that the data has. And for certain kinds of data, mandates demand that it be kept for years. Hence when an application is retired, it is increasingly necessary to archive all its data across all the data's sources.
Here is what has to happen to support successful application retirement in five steps:
- Mine the source metadata from the legacy application - You want to archive complete business entities, not just the transactional data but also master and reference data, and metadata.
- Extract and move the data - You want the ability to move, extract, and archive any data, including documents, attachments, images, and audio files associated with application and database records.
- Compress, secure and lockdown the archived data - You need to place it in to a secure, highly compressed, immutable file for later retrieval.
- Define and enforce retention policies - To ensure compliance, you need to be able to assign retention policies to different classes of archived data, apply legal holds to certain data, etc.; and to reduce the costs of managing ensured compliance, you want the ability to automatically purge expired records on a scheduled basis.
- Provide easy search access - You need to provide easy search and discovery access to archived data from any BI/reporting tool such as such as Crystal Reports, MicroStrategy, and Business Objects, and maintain access to archived data in database instances from existing application interfaces.
Improving Application Performance Through Archiving
The same steps, and same archiving technologies, also apply to archiving inactive data from live applications in order to improve their performance and reduce their TCO. This can take several forms, including archiving inactive data to an archive database in order to benefit from faster application response times, or archiving to an Optimized File Archive to effect substantial storage and infrastructure savings.
Importantly, a truly universal data archiving solution is strongly recommended, not only to support both application retirement and archiving from live applications, but also to ensure that you are able to leverage a single solution to address the archiving needs of all enterprise applications and databases, present and future.
Sub-setting and Masking Data in Non-Production Environments
The use of real data sets in development and test environments is widespread, and is necessary for good reasons. Frequently, this data is confidential or sensitive and subject to compliance requirements and the costs of not protecting it far outweigh the costs of doing so. Nevertheless, you need to control data management costs. Hence, when it comes to managing all the data in a test environment, you want the ability to:
- Optimize performance and control costs by data sub-setting - Instead of using full sets of production data in test, you want the ability to create a functionally intact subset of the data, keeping only the data required by your business policies while maintaining all referential integrity. By working with a smaller set of data, you can shorten development cycles and reduce storage costs and the use of system resources.
- Support compliance through data masking - By masking production data, you obfuscate Personally Identifiable Information and other sensitive data while preserving the data's usefulness in development and test activities.
In terms of flexibly protecting data privacy and confidentiality, Dynamic Data Masking technology can take you even further by providing real-time preventive capabilities. With this technology, flexible protection rules enable different kinds of masks to be applied dynamically to different kinds of data based on user privilege levels so you are able to engage in policy-based, selective masking and blocking of production data.
Reducing the Costs of Integrating Applications
For many organizations, much of the cost of keeping the IT lights on revolves around maintaining the "integration hairball" - the intricate web of point-to-point of interfaces between applications. According to Forrester Research, 87% of respondents to a recent IT survey indicated that they rely on hand coding for integration, and 75% of those admit that writing code for each integration effort leads to increased maintenance costs.
Another cost factor is the use of disparate integration tools so that there is no standard methodology and little economy of scale, not to mention difficulty sometimes in finding people trained in the use of a particular tool.
The way to substantially reduce the costs and complexity of integrating applications is to implement - and preferably, standardize on - a unified data integration platform with universal connectivity to data sources and targets, combined with the ability to access, transform, and integrate any data type, i.e., structured, unstructured, or semi-structured. To be fully useful, the platform also needs to support the full breadth of data latency requirements found in today's enterprises - batch, real-time, and changed data capture.
Importantly, a platform approach to integration will let you leverage a codeless development environment, so that custom-coded point-to-point interfaces and their expensive maintenance requirements become a thing of the past. Instead, development teams can leverage drag-and-drop development tools coupled with extensive reuse and sharing across projects of objects such as data mappings and transformations to speed development cycles and dramatically slash overall data integration costs.
Moving Forward Towards Enhancing Applications
The actions prescribed above have been proven to radically reduce the costs of sustaining applications, so that more resources can be applied to enhancing them and to driving innovation.
The Internet of Everything is re-shaping technology trends–moving away from “request/response” architecture to an “always-on” Streaming Web where data is in constant motion and secure, reliable communication is an absolute necessity. As more and more THINGS go online, the challenges that developers will need to address will only increase exponentially. In his session at @ThingsExpo, Todd Greene, Founder & CEO of PubNub, will explore the current state of IoT connectivity and review key trends and technology requirements that will drive the Internet of Things from hype to reality.
Oct. 9, 2015 05:30 PM EDT
Today air travel is a minefield of delays, hassles and customer disappointment. Airlines struggle to revitalize the experience. GE and M2Mi will demonstrate practical examples of how IoT solutions are helping airlines bring back personalization, reduce trip time and improve reliability. In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect with GE, and Dr. Sarah Cooper, M2Mi's VP Business Development and Engineering, will explore the IoT cloud-based platform technologies driving this change including privacy controls, data transparency and integration of real time context w...
Oct. 9, 2015 05:15 PM EDT Reads: 112
The buzz continues for cloud, data analytics and the Internet of Things (IoT) and their collective impact across all industries. But a new conversation is emerging - how do companies use industry disruption and technology enablers to lead in markets undergoing change, uncertainty and ambiguity? Organizations of all sizes need to evolve and transform, often under massive pressure, as industry lines blur and merge and traditional business models are assaulted and turned upside down. In this new data-driven world, marketplaces reign supreme while interoperability, APIs and applications deliver un...
Oct. 9, 2015 04:00 PM EDT Reads: 303
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows "less than 10 percent of IoT developers are making enough to support a reasonably sized team....
Oct. 9, 2015 04:00 PM EDT Reads: 238
Electric power utilities face relentless pressure on their financial performance, and reducing distribution grid losses is one of the last untapped opportunities to meet their business goals. Combining IoT-enabled sensors and cloud-based data analytics, utilities now are able to find, quantify and reduce losses faster – and with a smaller IT footprint. Solutions exist using Internet-enabled sensors deployed temporarily at strategic locations within the distribution grid to measure actual line loads.
Oct. 9, 2015 03:49 PM EDT
Too often with compelling new technologies market participants become overly enamored with that attractiveness of the technology and neglect underlying business drivers. This tendency, what some call the “newest shiny object syndrome,” is understandable given that virtually all of us are heavily engaged in technology. But it is also mistaken. Without concrete business cases driving its deployment, IoT, like many other technologies before it, will fade into obscurity.
Oct. 9, 2015 03:45 PM EDT Reads: 141
You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
Oct. 9, 2015 03:45 PM EDT Reads: 506
The IoT market is on track to hit $7.1 trillion in 2020. The reality is that only a handful of companies are ready for this massive demand. There are a lot of barriers, paint points, traps, and hidden roadblocks. How can we deal with these issues and challenges? The paradigm has changed. Old-style ad-hoc trial-and-error ways will certainly lead you to the dead end. What is mandatory is an overarching and adaptive approach to effectively handle the rapid changes and exponential growth.
Oct. 9, 2015 03:00 PM EDT Reads: 207
Today’s connected world is moving from devices towards things, what this means is that by using increasingly low cost sensors embedded in devices we can create many new use cases. These span across use cases in cities, vehicles, home, offices, factories, retail environments, worksites, health, logistics, and health. These use cases rely on ubiquitous connectivity and generate massive amounts of data at scale. These technologies enable new business opportunities, ways to optimize and automate, along with new ways to engage with users.
Oct. 9, 2015 02:00 PM EDT Reads: 190
The IoT is upon us, but today’s databases, built on 30-year-old math, require multiple platforms to create a single solution. Data demands of the IoT require Big Data systems that can handle ingest, transactions and analytics concurrently adapting to varied situations as they occur, with speed at scale. In his session at @ThingsExpo, Chad Jones, chief strategy officer at Deep Information Sciences, will look differently at IoT data so enterprises can fully leverage their IoT potential. He’ll share tips on how to speed up business initiatives, harness Big Data and remain one step ahead by apply...
Oct. 9, 2015 01:45 PM EDT Reads: 562
There will be 20 billion IoT devices connected to the Internet soon. What if we could control these devices with our voice, mind, or gestures? What if we could teach these devices how to talk to each other? What if these devices could learn how to interact with us (and each other) to make our lives better? What if Jarvis was real? How can I gain these super powers? In his session at 17th Cloud Expo, Chris Matthieu, co-founder and CTO of Octoblu, will show you!
Oct. 9, 2015 01:15 PM EDT
SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
Oct. 9, 2015 01:00 PM EDT Reads: 798
As a company adopts a DevOps approach to software development, what are key things that both the Dev and Ops side of the business must keep in mind to ensure effective continuous delivery? In his session at DevOps Summit, Mark Hydar, Head of DevOps, Ericsson TV Platforms, will share best practices and provide helpful tips for Ops teams to adopt an open line of communication with the development side of the house to ensure success between the two sides.
Oct. 9, 2015 01:00 PM EDT Reads: 608
SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
Oct. 9, 2015 12:00 PM EDT Reads: 738
SYS-CON Events announced today that Sandy Carter, IBM General Manager Cloud Ecosystem and Developers, and a Social Business Evangelist, will keynote at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 9, 2015 11:15 AM EDT
Developing software for the Internet of Things (IoT) comes with its own set of challenges. Security, privacy, and unified standards are a few key issues. In addition, each IoT product is comprised of at least three separate application components: the software embedded in the device, the backend big-data service, and the mobile application for the end user's controls. Each component is developed by a different team, using different technologies and practices, and deployed to a different stack/target - this makes the integration of these separate pipelines and the coordination of software upd...
Oct. 9, 2015 09:00 AM EDT Reads: 296
Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
Oct. 9, 2015 08:30 AM EDT Reads: 311
"Matrix is an ambitious open standard and implementation that's set up to break down the fragmentation problems that exist in IP messaging and VoIP communication," explained John Woolf, Technical Evangelist at Matrix, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Oct. 9, 2015 07:00 AM EDT Reads: 5,888
WebRTC converts the entire network into a ubiquitous communications cloud thereby connecting anytime, anywhere through any point. In his session at WebRTC Summit,, Mark Castleman, EIR at Bell Labs and Head of Future X Labs, will discuss how the transformational nature of communications is achieved through the democratizing force of WebRTC. WebRTC is doing for voice what HTML did for web content.
Oct. 9, 2015 06:00 AM EDT Reads: 1,416
The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process. In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
Oct. 9, 2015 04:00 AM EDT Reads: 506