DevOps, DBAs, and DBaaS: Managing Data Platforms to Support by Michael S. Cuppett

By Michael S. Cuppett

Learn how DBAs in a DevOps surroundings deal with information structures and alter requests to help and optimize non-stop integration, supply, checking out, and deployment within the software improvement lifestyles cycle. at the Dev facet, DBAs evaluation swap requests to make sure compliance with organizational top practices and defend opposed to degradation of database functionality and the validity of based gadgets. at the Ops part, DBAs practice unencumber and troubleshooting actions in aid of the appliance, deal with the information platform’s entry and protection, and display screen and retain functionality of the databases that they've designed and provisioned.

DevOps, DBAs, and DBaaS investigates the advanced intersection among DBA services and DevOps methods. DevOps groups normally seen DBAs as strategy outliers who disrupt and retard SDLC timelines. At every one contact aspect, veteran DBA Mike Cuppett indicates how DBAs can so much successfully give a contribution to reducing unencumber cycle occasions and enhancing product resiliency through making use of automation, orchestration, and DBaaS suggestions to database management in ways in which dovetail with DevOps specifications and metrics.

At a excessive point, Cuppett demonstrates the significance of leveling silo partitions within the IT provide chain and of measuring program functionality holistically through connection with delight of shopper standards and end-user adventure. At a technical point, he drills into issues and case experiences on diagnosing and resolving difficulties more often than not encountered via DBAs and DevOps groups whilst meshing database administration with program delivery.

What you'll Learn

  • Techniques and most sensible practices in any respect issues of collaboration among DBAs and DevOps groups in product development
  • Tools for measuring DBA inputs to DevOps approaches via holistic standards of end-user event and enterprise requirement
  • How to combine open resource database applied sciences with DevOps
  • When to decouple software and database layers and circulation to DBaaS models
  • How to beat language and mind-set limitations among DBAs and DevOps teams

Who This e-book Is For
DBAs who're leaning towards or already concerned with DevOps and DevOps engineers, workforce leaders, builders and product managers who're already operating with DBAs or making plans to combine DBAs in DevOps groups. The secondary readership is executives and executives in businesses that perform DevOps.

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Extra info for DevOps, DBAs, and DBaaS: Managing Data Platforms to Support Continuous Integration

Example text

Availability also needs to be defined. Does having a read-only database available for queries fit the requirement? If writes are required, could all changes be captured on the secondary database for inclusion in the primary database once it is available? Metadata changes—–whether a switch or key field text—are frequently used for application settings. Metadata changes can also manage other configuration settings. For example, one entry could simply be the code version to be executed. With that, somewhere in the code a read of the metadata to determine how to execute based on the defined code version.

There is a movement away from waterfall project management—serialized code progression starting with development and then proceeding to testing, integration, quality assurance, and production. New opportunities to create applications in weeks or even days has led to products being produced and then held for release until the company can be officially formed and readied for business operations. That reality did not seem possible a short 10 years ago. Powerful tools have enabled businesses to move from “scrape together a little money, spend most of the money forming the company, start coding, go hungry, sleep in the car, beg for more money from family and friends, visit Mom and Dad to get laundry done and consume real food, and release version 1 in desperation, hoping to generate enough revenue to fix numerous bugs to be released as version 2” to an early-capture revenue model in which the application is built and readied to release and generate revenue, possibly even while the paperwork to form the company is underway.

This process requires a formal change request that tracks the problem, the cause, the corrective action, and the name of the person who made the change. The change request can then be managed from the back log, ensuring inclusion in the code trunk. Third is the best-suited scenario for this situation and for general releases: the build process needs to compare the source (new version), the target (environment to be deployed to), and the baseline code version (last release). For example, if deploying code version 5, it is necessary to ensure that the deployed-to environment does not lose code that may have been put into place to correct a problem.

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