How is testing different in a DevOps agile team. A perspective from the team.

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In this webinar some of the test team at NewVoiceMedia will discuss how testing has changed for them and why working in an agile team is positive for a tester Find out more - http://testhuddle.com/resource/testing-in-devops/

Software

@esconfs|#esconfs
Testing in DevOps
NewVoiceMedia

@esconfs|#esconfs
ROB LAMBERT
ENGINEERING MANAGER
@rob_lambert
www.thesocialtester.co.uk

@esconfs|#esconfs
Who are NewVoiceMedia?
NewVoiceMedia is in the process of disrupting one of the
biggest markets in the world - business telephony. Well-
funded by cloud-focused VC's, and with a management
team with a decade of cloud experience, we have a strong
vision for the future and aggressive global growth plans.

@esconfs|#esconfs
YEARLY RELEASES > WEEKLY RELEASES
DEV + TEST = DEV!!
DEV + OPS = DevOps

@esconfs|#esconfs
MEET THE TESTERS
• SYLVIA MACDONALD
• CHRIS SIMMS
• BETH WATTS
• ALEX ZANANIRI
• KEVIN HARRIS
• DAN BILLING
1. INTRODUCTION
2. HOW IS THIS ENVIRONMENT DIFFERENT TO YOUR PREVIOUS EXPERIENCE?
3. A DAY IN THE LIFE OF A TESTER

@esconfs|#esconfs
WHAT DOES THE DEV PROCESS LOOK LIKE?

@esconfs|#esconfs
HOW DO YOU HANDLE REGRESSION?

@esconfs|#esconfs
HOW DO YOU GET A JOB IN AGILE / DEVOPS
WHEN YOU DON’T HAVE THE EXPERIENCE?

@esconfs|#esconfs
IS TESTING REALLY THAT
DIFFERENT IN DEVOPS?

@esconfs|#esconfs
THANK YOU
WWW.NEWVOICEMEDIA.COM

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感謝 Fackbook 社團「線上 Docker讀書會」 (https://www.facebook.com/groups/750311598438135/) 的邀請，這次以線上連線的方式與大家分享「什麼是 DevOps」，內容談到 DevOps 的歷史淵源、定義、職稱及 DevOps 涵括的領域。友善提醒：如果你已經聽過我過去談「什麼是 DevOps」的題目，例如「DevOps：建造開發維運的跨界之橋」，那這個簡報可以跳過，因為內容範圍與過去相同，只是重新排列組合並補充了一些新的資料。

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Steffen Staab

WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Arch...

WSO2

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