|By Darryl Eaton||
|April 1, 2012 04:00 AM EDT||
Does your IT or devops team run a lot of do-it-yourself projects? DIY is tempting, isn't it? You have smart engineers, easy access to storage and computing power, and a mandate this year to start moving some of (or more of) your applications to the cloud. Why not do it yourself?
I'm not saying that you shouldn't try DIY cloud computing management, but if you're going that route, you should know what you're in for. In particular, you should keep a sharp lookout for the point of no (easy) return.
The Five Cs of DIY
First of all, what compels people to try to roll their own end-to-end cloud management strategy? There are five arguments we often hear for DIY (all of which begin with "C"), depicted in Figure 1.
- Control: When you do it yourself, you're able to control everything, right, wrong or indifferent. If there are problems, you can handle them internally. If your business requires custom scripts or exporting usage data into your own warehouse, you'll want to be able flip the levers and configure it yourself. And the images will be yours, all yours.
- Complexity: "What's to manage?" you ask. "We're just spinning up a dozen or so dev and stage servers in an Amazon EC2 public cloud to get our feet wet. Plenty of companies do this without all the fuss of additional management tools." When your initial objectives are modest and you want your DevOps team to learn how things work first, cloud computing management looks like just a nice-to-have.
- Conquest: Speaking of DevOps, plenty of them want the challenge of understanding what's possible and how to build it. Or some of them say, "If I can't get approval, I'll just do it myself on the side," and they jump in. Because we are still in the early stages of cloud uptake, your engineers and managers are experimenting to discover just how far DIY and cobbling different tool sets together will take them, as opposed to researching what is available in the market. Who can blame them? The cloud presents itself as one of the most powerful APIs ever, and what self-respecting developer or IT department can resist that?
- Cost: Everybody's eye is on cost. "For about $200 a month, I can get five large, on-demand Linux instances for 100 hours, 50GB of storage and 10GB of data in and out. With pricing like that, we'll figure out the management piece ourselves. Most of what we'd buy in a cloud management product is stuff we can do ourselves anyway." It certainly looks like that at first glance, and if the budget is tight and your cloud-based DIY deployment is humming along, you probably can't make the case for spending money on management expertise that you're convinced you can provide on your own.
- Convenience: It's convenient and easy to think about DIY cloud management because Amazon, for instance, gives you so many options and tools to start with. If there were many long-standing public clouds from which to choose, the water would be muddier, you'd use a sharper pencil in the vetting process, and doing it yourself would seem like less of a slam dunk.
People stack these five Cs against off-the-shelf cloud management offerings all the time. Our industry spends a lot of time hearing these arguments, patiently nodding our heads and repeating the counter-arguments, based on our own experience with customers:
If you really need control, you'd be surprised by how much control and customization you can have with a cloud management product, even when you start with pre-configured images and templates.
Cloud computing management is complex, but cloud management products are designed to shield you from most of the complexity. Besides, the sooner you see how simple it is to automate the management of five or ten servers, the sooner you can get up to the 50 or 100 your business really needs.
There's plenty of technology to conquer in cloud computing management, but the industry has already conquered most of it, which is why off-the-shelf products are so comprehensive and accessible.
The cost of DIY is usually a lot more than your monthly fees. There's recruiting, training, non-recurring engineering expenses, headcount and the risk involved in building and maintaining your team. People don't always think that far down the road.
The flip-side of convenience is lock-in. It's hard to resist the ease of spinning up a cloud with just a browser and a credit card; however, is the product you conveniently start with today going to grow and scale gracefully with your business? Do you want all of your eggs in one basket? You've got to ask yourself, "Do I feel lucky?"
Let's examine the technology more closely.
Eyes Wide Open: Know What You're in For
What does cloud computing management mean? How many different layers are there to it, and when will you hit each one? Figure 2 depicts the layers of cloud computing management you'll traverse eventually, whether you DIY or license a product.
Basic cloud offerings from Amazon and open source tools can cover the entry-level echelon of service (bottom of Figure 2). A combination of DIY and open source is not especially dangerous at these levels:
- You provision basic or pre-configured images to meet your specifications and the needs of your users and customers, with memory, computing power, storage, OS and geographic proximity.
- Once you've installed applications in your cloud, you'll want to monitor them. Are they running properly? Have any of them gone down? Can you get alerts if something goes wrong?
- After you've tweaked your images, you'll want to clone them, say, for development/staging/production, for multiple developers or to meet increasing demand and traffic.
Once you've gotten this far, you can also try products for cloud auto-scaling (originally invented by RightScale). With a few months and several servers under your belt, you arrive at the advanced echelon of service in need of yet another tool, because entry-level products don't cover these (middle of Figure 2):
- It's easy to take snapshots of images; sometimes too easy. You forget why you created them, what's inside them and whether anybody is still using them. You need configuration management to deal with image sprawl. Once you have that under control, you also need configuration management to create repeatable applications and services (for your own mini Platforms-as-a-Service).
With people all over the organization clamoring for cloud-based apps, you're ready for user management to set permissions and audit activity.
The cloud may be inexpensive, but it isn't free. When Finance asks you about cost allocation and ROI by department, project and region, you need tools that can break out your expenses and revenues from activity in the cloud.
The last three items are the state of the art in cloud computing management, and if you can get that far on DIY, you deserve a big raise. On the horizon is a final layer, still in its infancy (top of Figure 2).
Most of your cloud assets need to work together; e.g., start the database server first, then start up the application tier, then start the proxy, run some tests to make sure the whole app is working, and then turn on the website. Orchestration and workflow automation will soon allow you to code how your system should operate so that you don't need to intervene.
That's the long view of cloud computing management. Set your expectations accordingly.
Are You Close to the Tipping Point?
The market is torn at the moment. On the DIY side, cloud computing is not very old, and lots of organizations are scrambling to figure out what it can do for them and their business. There are plenty of eager, curious engineers ready to dive in, fire up a few servers, cut their teeth on cloud computing and a few open source tools, and do their company (and their résumé) some good.
On the off-the-shelf side, the market is filled with entrants and it's growing up fast. Cloud management products are feature-rich because those of us who focus on them have already hit most of the roadblocks.
For some companies, the choice of off-the-shelf is obvious. They've looked at Figure 2 and decided that they don't want to have to do it themselves. They tried rolling their own CRM until they saw how effortless Salesforce.com made it, and they remember tinkering for ages with their own Web servers until they realized Apache had nailed it. They've learned that lesson.
What's the tipping point for everybody else? When do features, capabilities and price point tip in favor of off-the-shelf products? From our experience, here are three telling metrics:
- Forty images - Once people try to keep track of more than 40 images, DIY cloud management tools start to get creaky. "I see a whole slew of servers, and some have really short names...I've forgotten what that one does..."
- Fifteen users - If they have 15 people operating in the cloud after only a couple of months, they're liable to be at 200 in a year. User management tools need to scale and work with all the other DIY tools in use.
- Five accounts - To sort out their billing and ROI headaches, they write discovery apps or go through the Amazon API trying to figure out which instances are in use and which images they come from so they can allocate costs correctly.
Alas, some organizations stick with DIY past that tipping point, to the point of no (easy) return. They've made it well into the advanced echelon, but only by cobbling together a patchwork of three to four disparate tool sets and growing their DevOps teams to 50 or more. Or, perhaps they decide to move all their DIY stuff to a different public cloud provider, or to their own private cloud. An off-the-shelf cloud computing management can still help them when they get to these points, but the effort will cost much more time and money than if they had started there in the first place.
Do All the Math, Not Just Some of It
Many customers come to us after they've outgrown their DIY efforts. Eventually, they discover that there are too many things to stitch together: configuration management, systems automation, monitoring, application automation, provisioning, user permissions, reporting and more.
Even if you're happy with the DIY cloud computing management you've put in place, are you really sure that it's worth the investment in time, money and manpower, compared to an off-the-shelf offering? Not only that, but are you sure you're far enough away from the tipping point that DIY will still look good a year from now?
Cloud Management - Obstacles Overcome in Off-the-Shelf Products
- Removal of a single user's SSH key from all managed instances
- Volume striping for better database performance
- Image fingerprinting to identify pre-rolled images in private clouds accurately
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...
Jul. 26, 2016 10:15 PM EDT Reads: 1,977
With 15% of enterprises adopting a hybrid IT strategy, you need to set a plan to integrate hybrid cloud throughout your infrastructure. In his session at 18th Cloud Expo, Steven Dreher, Director of Solutions Architecture at Green House Data, discussed how to plan for shifting resource requirements, overcome challenges, and implement hybrid IT alongside your existing data center assets. Highlights included anticipating workload, cost and resource calculations, integrating services on both sides...
Jul. 26, 2016 09:00 PM EDT Reads: 2,026
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
Jul. 26, 2016 08:30 PM EDT Reads: 2,131
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, discussed how leveraging the Industrial Internet a...
Jul. 26, 2016 08:00 PM EDT Reads: 290
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
Jul. 26, 2016 07:15 PM EDT Reads: 1,930
In his session at 18th Cloud Expo, Sagi Brody, Chief Technology Officer at Webair Internet Development Inc., and Logan Best, Infrastructure & Network Engineer at Webair, focused on real world deployments of DDoS mitigation strategies in every layer of the network. He gave an overview of methods to prevent these attacks and best practices on how to provide protection in complex cloud platforms. He also outlined what we have found in our experience managing and running thousands of Linux and Unix ...
Jul. 26, 2016 07:00 PM EDT Reads: 1,796
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
Jul. 26, 2016 06:30 PM EDT Reads: 794
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 26, 2016 06:30 PM EDT Reads: 2,119
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Jul. 26, 2016 05:45 PM EDT Reads: 1,825
Choosing the right cloud for your workloads is a balancing act that can cost your organization time, money and aggravation - unless you get it right the first time. Economics, speed, performance, accessibility, administrative needs and security all play a vital role in dictating your approach to the cloud. Without knowing the right questions to ask, you could wind up paying for capacity you'll never need or underestimating the resources required to run your applications.
Jul. 26, 2016 05:30 PM EDT Reads: 405
Enterprise networks are complex. Moreover, they were designed and deployed to meet a specific set of business requirements at a specific point in time. But, the adoption of cloud services, new business applications and intensifying security policies, among other factors, require IT organizations to continuously deploy configuration changes. Therefore, enterprises are looking for better ways to automate the management of their networks while still leveraging existing capabilities, optimizing perf...
Jul. 26, 2016 05:00 PM EDT Reads: 1,172
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 26, 2016 05:00 PM EDT Reads: 1,476
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
Jul. 26, 2016 04:30 PM EDT Reads: 1,083
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
Jul. 26, 2016 04:30 PM EDT Reads: 1,014
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Jul. 26, 2016 04:00 PM EDT Reads: 1,032