Click here to close now.



Welcome!

Linux Containers Authors: Pat Romanski, Liz McMillan, Elizabeth White, Flint Brenton, John Esposito

Related Topics: @DevOpsSummit, Java IoT, Microservices Expo, Linux Containers, @CloudExpo, @BigDataExpo

@DevOpsSummit: Article

The DevOps Database | Part 4

A culture of continual experimentation and learning

In the final post in this series about bringing DevOps patterns to database change management, we’re going to discuss the Third Way.  Here’s a refresher on the Third Way from the introductory post in this series:

The Third Way: Culture of Continual Experimentation & Learning – This way emphasizes the benefits that can be realized through embracing experimentation, risk-taking, and learning from failure.  By adopting this kind of attitude, experimentation and risk-taking lead to innovation and improvement while embracing failure allows the organization to produce more resilient products and sharpen skills that allow teams to recover more quickly from unexpected failure when it does occur.

The Third Way is by far the most intriguing of the “The Ways” to me.  I’ve spent the lion’s share of my career in early stage start-ups where cycles of experimentation, learning, and failure are the norm.  When bringing a new product or service to market, your latest release is never your last.  It may not even be the last release this week.  You are constantly experimenting with new workflows and technology, learning about your target market, and getting more valuable information from your early failures than your early successes.  The Third Way is crucial to the success of an early stage company.

While the benefits of the Third Way still apply to more established companies and product lines, practicing it becomes more difficult.  The potential negatives of experimentation and risk-taking are much harder to stomach when you have a large base of paying customers with SLAs. This aversion to risk is most acute when you’re talking about your data platform where outages, performance problems and data loss are not an option. Complicating matters further is how difficult it can be to unwind the database changes that were affected to support a specific version of your app.  Application code can usually be uninstalled and replaced with the previous working version fairly simply should problems arise. Reverting the database changes that support that version of the application is more akin to defusing a bomb.  Database changes must be reverted delicately and meticulously to avoid errors and omissions that could negatively impact your data platform.

What DBAs and release managers need to facilitate experimentation and risk taking on the data platform is a special combination of tools and process.  This combination should make it easy to identify the root cause of issues, quickly remediate problems caused by application schema structure, and revert to a previous version of the schema safely.  When we started Datical, we spent several hours in conversation and at white boards exploring these unique needs and hammering out a path to usher the Third Way into regular database activity.

A Rollback Designed With Every Change
The biggest problem with experimentation in the data platform is how difficult it is to move backward and forward through your schema’s version history.  We feel the best way to bring more flexibility to the process of upgrading and reverting schema is an attitude shift.  Your rollback strategy for each database change must become as important as the change itself.  The best time to craft your rollback strategy is when the change itself is being designed.  When the motivation for the change is fresh in your mind and the dependencies of the object being created, dropped or altered are clearly mapped out, a developer or DBA can better craft a rollback strategy for which every contingency has been considered.  This leads to a stronger safety net and makes your application schema as agile and easily managed as your application code. The database is no longer preventing you from being bold but quickly and safely moving between versions to accommodate experimentation.

The Richness of Model Based Comparison & Remediation
I’m a native Texan, born and raised in Austin.  I know the jokes about how proud and vocal Texans can be about their home state.  That being said, I spend more time telling people about the model based approach Datical has applied to Database Change Management than I do telling them how wonderful it is that I was fortunate enough to be born in the best state in the country.  The advantages of the model based approach really shine through when it comes to experimentation and troubleshooting.  The model allows you to annotate all objects and modifications to your application’s schema with the business reason that prompted them.  This detailed history is invaluable when designing new changes or refactoring your schema as part of an experimental exercise.  You immediately know what objects are most crucial, what your dependencies are, what areas you need to tread lightly in, and what areas are ripe for experimentation due to the changing needs of your business.  Designing intelligently eliminates risk.

Troubleshooting with models is also dramatically faster and more reliable than other methods. Programmatically comparing models allows you to determine the differences between two databases much more quickly than manually comparing diagrams or SQL scripts.  You know with certainty exactly what has changed and what is missing in a fraction of the time that human review takes.

Once you have identified the differences, remediation is as simple plugging one, some or all of the determined differences into the model and deploying those changes to the non-compliant instance.

Flexible Quick Rollback
If you’ve taken our advice to implement your rollback strategy when you implement a change, recovering from disaster becomes testable, fast, and simple.  Before going to production or a sensitive environment, you should always test your rollback steps in dev, test and staging.  This will allow you to make any tweaks or changes to your rollback strategy before you are in a pinch.  Think of it like testing your smoke alarm.  Hopefully you’ll never need it, but it’s nice to know that it’ll work if you do.

Let’s say the worst happens. You deploy a new set of database changes and the application performance degrades or errors are logged.  The decision is made to revert the entire installation to the previous version.  Because you have carefully designed, tested and refined your rollback strategy, rolling back the database changes becomes a push button operation or a single invocation of a command line tool.  No more running disparate SQL scripts or undoing changes on the fly.  You can be confident that your database has been returned to the same state it was in before the upgrade.

Summary
The database has long been handled with kid gloves and for good reason.  Data is a precious resource for consumers and businesses.  Consumers provide data to businesses and trust that it will be kept safe and used to offer them better products and services.  Businesses rely on data to strategize, grow, and become more efficient and profitable.  It is the lifeblood of our economy.  As our ability to collect and process data becomes greater and greater, the rate at which an enterprise must move on what is learned from that data becomes linearly faster.  Data must be kept safe, but the database must become more agile to accommodate the growing pressure for faster value realization of business intelligence initiatives.  DevOps patterns hold the key to this necessary agility while maintaining or improving the security and integrity of data stores.  The database and DBAs need to be brought into the application design process earlier and must be treated as the first class stakeholder and commodity that they are. Companies that acknowledge this and move to adopt DevOps patterns and include their database teams will be at a distinct competitive advantage to those that don’t.  Don’t miss the boat!

More Stories By Pete Pickerill

Pete Pickerill is Vice President of Products and Co-founder of Datical. Pete is a software industry veteran who has built his career in Austin’s technology sector. Prior to co-founding Datical, he was employee number one at Phurnace Software and helped lead the company to a high profile acquisition by BMC Software, Inc. Pete has spent the majority of his career in successful startups and the companies that acquired them including Loop One (acquired by NeoPost Solutions), WholeSecurity (acquired by Symantec, Inc.) and Phurnace Software.

@ThingsExpo Stories
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
SYS-CON Events has announced today that Roger Strukhoff has been named conference chair of Cloud Expo and @ThingsExpo 2016 Silicon Valley. The 19th Cloud Expo and 6th @ThingsExpo will take place on November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. "The Internet of Things brings trillions of dollars of opportunity to developers and enterprise IT, no matter how you measure it," stated Roger Strukhoff. "More importantly, it leverages the power of devices and the Interne...
"We work in the area of Big Data analytics and Big Data analytics is a very crowded space - you have Hadoop, ETL, warehousing, visualization and there's a lot of effort trying to get these tools to talk to each other," explained Mukund Deshpande, head of the Analytics practice at Accelerite, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
The idea of comparing data in motion (at the sensor level) to data at rest (in a Big Data server warehouse) with predictive analytics in the cloud is very appealing to the industrial IoT sector. The problem Big Data vendors have, however, is access to that data in motion at the sensor location. In his session at @ThingsExpo, Scott Allen, CMO of FreeWave, discussed how as IoT is increasingly adopted by industrial markets, there is going to be an increased demand for sensor data from the outermos...
UAS, drones or unmanned aircraft, no matter what you call them — this was their week. Our news stream was flooded with updates on the newly announced rules and regulations for commercial UAS from the FAA. So, naturally we have dedicated this week’s top news round up to highlight some of our favorite UAS stories.
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
CenturyLink has announced that application server solutions from GENBAND are now available as part of CenturyLink’s Networx contracts. The General Services Administration (GSA)’s Networx program includes the largest telecommunications contract vehicles ever awarded by the federal government. CenturyLink recently secured an extension through spring 2020 of its offerings available to federal government agencies via GSA’s Networx Universal and Enterprise contracts. GENBAND’s EXPERiUS™ Application...
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
In addition to all the benefits, IoT is also bringing new kind of customer experience challenges - cars that unlock themselves, thermostats turning houses into saunas and baby video monitors broadcasting over the internet. This list can only increase because while IoT services should be intuitive and simple to use, the delivery ecosystem is a myriad of potential problems as IoT explodes complexity. So finding a performance issue is like finding the proverbial needle in the haystack.
When people aren’t talking about VMs and containers, they’re talking about serverless architecture. Serverless is about no maintenance. It means you are not worried about low-level infrastructural and operational details. An event-driven serverless platform is a great use case for IoT. In his session at @ThingsExpo, Animesh Singh, an STSM and Lead for IBM Cloud Platform and Infrastructure, will detail how to build a distributed serverless, polyglot, microservices framework using open source tec...
Presidio has received the 2015 EMC Partner Services Quality Award from EMC Corporation for achieving outstanding service excellence and customer satisfaction as measured by the EMC Partner Services Quality (PSQ) program. Presidio was also honored as the 2015 EMC Americas Marketing Excellence Partner of the Year and 2015 Mid-Market East Partner of the Year. The EMC PSQ program is a project-specific survey program designed for partners with Service Partner designations to solicit customer feedbac...
Apixio Inc. has raised $19.3 million in Series D venture capital funding led by SSM Partners with participation from First Analysis, Bain Capital Ventures and Apixio’s largest angel investor. Apixio will dedicate the proceeds toward advancing and scaling products powered by its cognitive computing platform, further enabling insights for optimal patient care. The Series D funding comes as Apixio experiences strong momentum and increasing demand for its HCC Profiler solution, which mines unstruc...
The IoT is changing the way enterprises conduct business. In his session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, discussed how businesses can gain an edge over competitors by empowering consumers to take control through IoT. He cited examples such as a Washington, D.C.-based sports club that leveraged IoT and the cloud to develop a comprehensive booking system. He also highlighted how IoT can revitalize and restore outdated business models, making them profitable ...
IoT offers a value of almost $4 trillion to the manufacturing industry through platforms that can improve margins, optimize operations & drive high performance work teams. By using IoT technologies as a foundation, manufacturing customers are integrating worker safety with manufacturing systems, driving deep collaboration and utilizing analytics to exponentially increased per-unit margins. However, as Benoit Lheureux, the VP for Research at Gartner points out, “IoT project implementers often ...
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex 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.
In his general session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed cloud as a ‘better data center’ and how it adds new capacity (faster) and improves application availability (redundancy). The cloud is a ‘Dynamic Tool for Dynamic Apps’ and resource allocation is an integral part of your application architecture, so use only the resources you need and allocate /de-allocate resources on the fly.
Connected devices and the industrial internet are growing exponentially every year with Cisco expecting 50 billion devices to be in operation by 2020. In this period of growth, location-based insights are becoming invaluable to many businesses as they adopt new connected technologies. Knowing when and where these devices connect from is critical for a number of scenarios in supply chain management, disaster management, emergency response, M2M, location marketing and more. In his session at @Th...
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life sett...