|By Archie Hendryx||
|December 4, 2012 08:00 AM EST||
When the character Maverick from the movie Top Gun exclaimed, "I feel the need, the need for speed", you'd be forgiven for mistaking it for a sound bite from a CIO discussing their transactional databases. Whether it's a financial organization predicting share prices, a bank knowing whether it can approve a loan or a marketing organisation reaching consumers with a compelling promotional offer, the need to access, store, process and analyze data as quickly as possible is an imperative for any business looking to gain a competitive edge. Hence when in 2011, SAP announced their new in-memory platform HANA for enterprise applications everyone took note as they coined the advantage of real-time analytics. SAP HANA promised to not just make databases dramatically faster like traditional business warehouse accelerator systems but instead speed up the front end, enabling companies to run arbitrary, complex queries on billions of records in a matter of seconds as opposed to hours. The vendors of old legacy traditional databases were facing a major challenge, most notably the king of them all...Oracle.
The Birth and Emergence of Big Data
Back in the days of mainframe, you'd find the application and transactional data of reporting databases physically stored in the same system. This was due to applications, operating systems and databases being designed to maximize their hardware resources, which consequently meant you couldn't process transactions and process report simultaneously. The bottleneck here was cost, in that if you wanted to scale you needed another mainframe.
After the advent of client servers where applications could run on a centralized database server via multiple and cost effective servers, scalability was achieved by simply adding additional application servers. Regardless, of this a new bottleneck was quickly established with systems relying on a single database server and requests from ever increasing application servers that ended up causing I/O stagnation. This problem became exasperated with OLTP (online transaction processing), where report creation required the system to concurrently read multiple tables in the database. Added to this servers and processors kept getting faster while disks (despite the emergence of SSD) were quickly becoming the bottleneck to automated processes that were producing large amounts of data that concurrently resulted in more report requests.
The net effect was a downward spiral where the increase of users requiring an increase of reports from the databases meant an increase in huge amounts of data being requested from disks that simply weren't up to the job. When you then factored in the data proliferation of external users caused by the Internet and pressure inducing laws such as Sarbanes-Oxley, the demand to analyze even more data even quicker has reached fever point. With data and user volumes increasing by a factor of thousands compared to the I/O capability of databases, the transaction-based industry faced a challenge that required a dramatic shift and change. Cue the 2011 emergence of SAP's HANA.
Real-Time In Memory Platform Presents a Groundbreaking Approach
One of the major advantages of SAP HANA's ability to run in real time is that it offers a non-requirement for data redundancy as it's built to run as a single database. With clusters of affordable and scalable servers, transactional and analytical data are run on the same database, hence eliminating different types of databases for different application needs. Oracle on the other hand has built an empire on exactly the opposite.
Oracle has thrived on a model where generally companies start with a simple database that's utilized for checking sales orders and ensuring product delivery to customers but as the business grows they need more databases with different and more demanding functions. Functions such as managing customer relationships, complex reporting and analysis drives a need for new databases that are separate from the actual business requiring data to be moved from one system to another. Eventually you have a sprawl of databases as existing ones are unable to handle the workloads making it almost impossible to track data movements yet alone attain real time updates. So while the Oracle marketing machine is also pitching the benefits of in-memory via its Exalytics appliance and in-memory database, TimesTen, Oracle are certainly in no rush to break this traditional model of database sprawl and the money-spinning licenses that come with it.
Looking closely at the Oracle Exalytics / TimesTen package, despite the hype, it merely is just an add-on product meaning that an end user will still need a license for the transactional database, another license for the data warehouse database and yet another license for TimesTen for Oracle Exalytics.
Moreover, the Oracle bolt-on approach serves to sell more of their hardware commodity and in some ways perversely justify their acquisition of SUN Microsystems, all at the expense of the customer. Due to the Exalytics approach continuing the traditional requirement for transactional data to be duplicated from the application to the warehouse and once again to Exalytics, the end user not only ends up with three copies of the data, they also have to have three levels of storage and servers. In contrast SAP HANA is designed to be a single database that runs both transactional applications and Business Warehouse deployments. Not only does SAP HANA's one copy of data replace the two or three required for Oracle it also eliminates the need for materialized views, redundant aggregates and indexes leaving a significantly reduced data footprint.
Comparing HANA to Oracle's TimesTen and Exalytics
As expected Oracle have already initiated their FUD team with bogus claims and untruths against HANA as well as even pushing their TimesTen as a like for like comparison. Where this is hugely flawed is that they fail to acknowledge or admit that SAP HANA is a completely groundbreaking design as opposed to a bolt-on approach. With SAP HANA data is completely managed and accessed in RAM consequently doing away with the requirement of MOLAP, multiple indexes and other tuning features that Oracle pride themselves on.
Furthermore, despite the Oracle FUD, SAP HANA does indeed handle both unstructured and structured data, as well as utilise parallel queries for scaling out across server nodes. In this instance Oracle are trying hard to create the most confusion and subsequently detract the market from realizing that the TimesTen with Exalytics package still can't scale out beyond the 1TB RAM limit unlike SAP HANA where each container can store up to 500TB of data all executable at high speed.
With an aggressive TCO and ROI model compared to a traditional Oracle deployment, SAP HANA also proves a lot more cost effective. With pricing based on an incremental of 64GB RAM and the total amount of data held in memory, licenses are fully inclusive of production and test/development requirements as well as the necessary tools.
SAP HANA's Embracing of VMware
Furthermore with Oracle's belligerent stance towards VMware and the cost savings it brings to end users, SAP on the other hand has embraced it. The recent announcement that SAP HANA is supporting VMware vSphere will provide them a vast competitive advantdge, as it will enable customers to provision instances of SAP HANA in minutes as VM templates, as well as gain benefits such as Dynamic Resource Scheduling and vSphere vMotion. By virtualizing SAP HANA with VMware, end users can quickly have several smaller HANA instances all sharing a single physical server leading to better utilization of existing resources. With the promise of certified preconfigured and optimised converged infrastructures such as the Vblock around the corner, SAP HANA appliances could be shipped with vSphere 5 and SAP HANA pre-installed within days, enabling rapid deployment for businesses.
The Business Benefits of Real-Time
With business and transactions being done in real time, SAP HANA ensures that the data and the analytics that come with them are also in real time. The process of manually polling data from multiple systems and sorting them through are inadequate in a time when businesses are facing unpredictable economic conditions and volatile demand and complex supply chains. The need is for real time metrics that are aligned to supply and demand where a retailers' shelves can accurately and immediately be stocked eliminating unnecessary inventory costs, lost sales opportunities and failed product launches. Being able to instantly analyze data at any level of granularity enables a business to quickly respond to these market insights and take decisive actions such as transferring inventory between distribution centers based on expected sales or altering the prices of promotions based on customer demand. Instead of waiting for processes that take hours, days or even weeks, SAP HANA's real time capabilities enable businesses to react in real time to incidents.
Ultimately SAP HANA is a revolutionary step forward that will empower organizations to focus more on the business and less on the infrastructure that supports them. With the promise of new applications being built by SAP to support real time decision making as well being able to run existing applications, SAP HANA presents the opportunity to not only transform a business but also the underlying technology that supports it.
Application transformation and DevOps practices are two sides of the same coin. Enterprises that want to capture value faster, need to deliver value faster – time value of money principle. To do that enterprises need to build cloud-native apps as microservices by empowering teams to build, ship, and run in production. In his session at @DevOpsSummit at 19th Cloud Expo, Neil Gehani, senior product manager at HPE, discussed what every business should plan for how to structure their teams to delive...
Dec. 5, 2016 09:15 AM EST Reads: 1,406
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his general session at @DevOpsSummit at 19th Cloud Expo, Phil Hombledal, Solution Architect at CollabNet, discussed how customers are able to achieve a level of transparency that e...
Dec. 5, 2016 06:45 AM EST Reads: 978
IT leaders face a monumental challenge. They must figure out how to sort through the cacophony of new technologies, buzzwords, and industry hype to find the right digital path forward for their organizations. And they simply cannot afford to fail. Those organizations that are fastest to the right digital path will be the ones that win. The path forward, however, is strewn with the legacy of decisions made long ago — often before any of the current leadership team assumed their roles. While it’s ...
Dec. 5, 2016 05:00 AM EST Reads: 1,628
Kubernetes is a new and revolutionary open-sourced system for managing containers across multiple hosts in a cluster. Ansible is a simple IT automation tool for just about any requirement for reproducible environments. In his session at @DevOpsSummit at 18th Cloud Expo, Patrick Galbraith, a principal engineer at HPE, discussed how to build a fully functional Kubernetes cluster on a number of virtual machines or bare-metal hosts. Also included will be a brief demonstration of running a Galera MyS...
Dec. 5, 2016 04:30 AM EST Reads: 5,224
As we enter the final week before the 19th International Cloud Expo | @ThingsExpo in Santa Clara, CA, it's time for me to reflect on six big topics that will be important during the show. Hybrid Cloud: This general-purpose term seems to provide a comfort zone for many enterprise IT managers. It sounds reassuring to be able to work with one of the major public-cloud providers like AWS or Microsoft Azure while still maintaining an on-site presence.
Dec. 5, 2016 04:00 AM EST Reads: 2,811
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dec. 5, 2016 01:30 AM EST Reads: 771
Between 2005 and 2020, data volumes will grow by a factor of 300 – enough data to stack CDs from the earth to the moon 162 times. This has come to be known as the ‘big data’ phenomenon. Unfortunately, traditional approaches to handling, storing and analyzing data aren’t adequate at this scale: they’re too costly, slow and physically cumbersome to keep up. Fortunately, in response a new breed of technology has emerged that is cheaper, faster and more scalable. Yet, in meeting these new needs they...
Dec. 5, 2016 12:45 AM EST Reads: 1,816
@DevOpsSummit taking place June 6-8, 2017 at Javits Center, New York City, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @DevOpsSummit at Cloud Expo New York Call for Papers is now open.
Dec. 4, 2016 08:30 PM EST Reads: 1,813
Logs are continuous digital records of events generated by all components of your software stack – and they’re everywhere – your networks, servers, applications, containers and cloud infrastructure just to name a few. The data logs provide are like an X-ray for your IT infrastructure. Without logs, this lack of visibility creates operational challenges for managing modern applications that drive today’s digital businesses.
Dec. 4, 2016 07:00 PM EST Reads: 1,638
Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like “How is my application doing” but no id...
Dec. 4, 2016 06:30 PM EST Reads: 2,187
In IT, we sometimes coin terms for things before we know exactly what they are and how they’ll be used. The resulting terms may capture a common set of aspirations and goals – as “cloud” did broadly for on-demand, self-service, and flexible computing. But such a term can also lump together diverse and even competing practices, technologies, and priorities to the point where important distinctions are glossed over and lost.
Dec. 4, 2016 05:45 PM EST Reads: 1,537
Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resource...
Dec. 4, 2016 03:30 PM EST Reads: 5,527
Without lifecycle traceability and visibility across the tool chain, stakeholders from Planning-to-Ops have limited insight and answers to who, what, when, why and how across the DevOps lifecycle. This impacts the ability to deliver high quality software at the needed velocity to drive positive business outcomes. In his session at @DevOpsSummit 19th Cloud Expo, Eric Robertson, General Manager at CollabNet, showed how customers are able to achieve a level of transparency that enables everyone fro...
Dec. 4, 2016 03:15 PM EST Reads: 1,892
Join Impiger for their featured webinar: ‘Cloud Computing: A Roadmap to Modern Software Delivery’ on November 10, 2016, at 12:00 pm CST. Very few companies have not experienced some impact to their IT delivery due to the evolution of cloud computing. This webinar is not about deciding whether you should entertain moving some or all of your IT to the cloud, but rather, a detailed look under the hood to help IT professionals understand how cloud adoption has evolved and what trends will impact th...
Dec. 4, 2016 03:00 PM EST Reads: 2,537
Information technology is an industry that has always experienced change, and the dramatic change sweeping across the industry today could not be truthfully described as the first time we've seen such widespread change impacting customer investments. However, the rate of the change, and the potential outcomes from today's digital transformation has the distinct potential to separate the industry into two camps: Organizations that see the change coming, embrace it, and successful leverage it; and...
Dec. 4, 2016 03:00 PM EST Reads: 3,268
Internet of @ThingsExpo, taking place June 6-8, 2017 at the Javits Center in New York City, New York, is co-located with the 20th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world. @ThingsExpo New York Call for Papers is now open.
Dec. 4, 2016 02:00 PM EST Reads: 1,920
The 20th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held June 6-8, 2017, at the Javits Center in New York City, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Containers, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal ...
Dec. 4, 2016 12:45 PM EST Reads: 2,145
You have great SaaS business app ideas. You want to turn your idea quickly into a functional and engaging proof of concept. You need to be able to modify it to meet customers' needs, and you need to deliver a complete and secure SaaS application. How could you achieve all the above and yet avoid unforeseen IT requirements that add unnecessary cost and complexity? You also want your app to be responsive in any device at any time. In his session at 19th Cloud Expo, Mark Allen, General Manager of...
Dec. 4, 2016 12:30 PM EST Reads: 1,688
Keeping pace with advancements in software delivery processes and tooling is taxing even for the most proficient organizations. Point tools, platforms, open source and the increasing adoption of private and public cloud services requires strong engineering rigor – all in the face of developer demands to use the tools of choice. As Agile has settled in as a mainstream practice, now DevOps has emerged as the next wave to improve software delivery speed and output. To make DevOps work, organization...
Dec. 4, 2016 11:15 AM EST Reads: 5,765
"Dice has been around for the last 20 years. We have been helping tech professionals find new jobs and career opportunities," explained Manish Dixit, VP of Product and Engineering at Dice, in this SYS-CON.tv interview at 19th Cloud Expo, held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Dec. 4, 2016 10:45 AM EST Reads: 910