How DevOps Should Use DBaaS (Database-as-a-Service) To Optimize Their Application Development

| January 14, 2019

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Database-as-a-Service (DBaaS) is quickly gaining in popularity across the tech world. These software platform solutions helps users easily manage their database operations without having to really understand any of the abstractions. This allows developers, DBA’s and DevOps engineers to quickly automate their backups, create new SQL and NoSQL clusters, and monitor the performance of their databases for their application without requiring any internal database expertise. DBaaS falls under the umbrella of Platform-as-a-Service (PaaS) where the platform itself is actually a database or several databases. This is a great choice for DevOps in particular because it allows for more developer agility, productivity, and also security. Flexibility and scalability are becoming more important in the world of DevOps and technology in general, and we all know how fast this world moves. Businesses need new ways to keep up with the competition, and developers are looking for an easy, self-service model for managing their databases in order to optimize their app development. Let’s break down the individual benefits so you can decide if DBaaS is right for your DevOps team.

Spotlight

Alteryx

"Companies of all size realize the tremendous potential for data, but at the line- of-business (LOB) level many struggle with turning that data into something they can take action upon, without depending on data scientists or IT. Now analysts in LOB departments such as sales, marketing, and finance can feel empowered with self-service analytics through Alteryx that provides them with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code. "

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By 2040, this will likely swell to more than 100 trillion sensors that will spew out a dizzying volume of real-time data ready for analytics and AI. A complete IoT system as we know it is aware, autonomous, and actionable, just like a self-driving car. Imagine the number of data modelers, sensor designers and installers, signal architects and engineers that will be needed. Home automation will be pervasive and smart medicines, implants, and wearables will be the norms of the day. DRONES USHER IN DISRUPTION Unmanned aerial and underwater drones are already becoming ubiquitous for applications in aerial surveillance, delivery, and security. Countries are awakening to their potential as well as possibilities of misuse. Command centers, just like that for space travel, will manage them as countries rush to put in a regulatory framework around them. An army of designers, programmers, security experts, traffic flow optimizers will harness their true potential. 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Agriculture will be transformed with robotics, IoT, drones, and the food-tech sector will take off in a big way. QUANTUM COMPUTING SOLVES INTRACTABLE PROBLEMS Finally, while the list is very long, let’s touch upon the advent of qubits, or Quantum computing. With its ability to break the best encryption on the planet, the traditional asymmetric encryption, public key infrastructure, digital envelopes, and digital certificates in use today will be rendered useless. Bring in the quantum programmers, analysts, privacy and trust managers, health monitors, etc. As we brace for the world that looms large ahead of us, the biggest enabler that will be transformed itself will be Education 4.0. Education will cease to be a phase in your life. Life-long interventions will be needed to adapt, impart, and shape the skills of individuals that are ready for the future of work. More power to the people!

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Spotlight

Alteryx

"Companies of all size realize the tremendous potential for data, but at the line- of-business (LOB) level many struggle with turning that data into something they can take action upon, without depending on data scientists or IT. Now analysts in LOB departments such as sales, marketing, and finance can feel empowered with self-service analytics through Alteryx that provides them with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code. "

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