Understanding Time-Series Database Patterns

SHOW: 394

DESCRIPTION: Brian talks with Evan Kaplan (@evankaplan, CEO of InfluxData) about why companies choose time-series databases, commons use-cases, how time-series patterns align to changing business goals, and how to translate business demands to developer capabilities. 

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CLOUD NEWS OF THE WEEK:

• GCP partners with Open-Source Companies
• Pentagon narrows JEDI Cloud contract down to AWS and Azure

SHOW INTERVIEW LINKS:

• InfluxData Homepage 
• The InfluxData TICK Stack (Telegraf, InfluxDB, Chronograf, Kapacitor)
• InfluxData closes $60M Round of Funding (Feb 2019)

SHOW NOTES:

Topic 1 - Welcome to the show. You’ve been the CEO of InfluxData for a few years, but please share with the audience your background and how you came to lead InfluxData.

Topic 2 - For many decades, most data-centric applications were built around Relational Databases (SQL Databases). These days, application patterns and use-cases have expanded significantly. How do time-series databases fit into these new trends?

Topic 3 - With all the new patterns emerging, there are both business reasons and technical reasons for choosing the right platform. How do you find the business-level thought process happening (contributing, influencing) around platform choice? How do you find the technical-level thought process happening (contributing, influencing) around platform choice?

Topic 4 - Every company that’s involved with the commercialization of open source projects is trying to figure out the best way to manage a portfolio between OSS, software offerings and cloud offerings. How does InfluxData think about that mix, and what are you seeing in terms of customer-demand trends? 

Topic 5 - Getting developer momentum and mass around a set of patterns is critical. How does InfluxData think about enabling developers, and what are some of things you’ve done to accelerate their success and consistent learning? 

FEEDBACK?

• Email: show at thecloudcast dot net
• Twitter: @thecloudcastnet and @ServerlessCast

Mid Career Job Changes

Show: 385

Description: Aaron and Brian talk with Keith Townsend (@CTOAdvisor) about jobs around the IT industry, and the opportunities, challenges and trade-offs in making various types of mid-career job changes. 

Show Sponsor Links:

• Liquid Technology - IT Value Recovery
• Try CloudLast Service, get a free t-shirt and chance at Amazon Gift Card
• Datadog Homepage - Modern Monitoring and Analytics
• Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt

Show Notes:

Topic 1 - Welcome back to the show. Want to talk about the pros and cons of various types of jobs in and around the IT industry - Vendors, Integrators, Contractors, Consultants, IT within a Company (Customer)

Topic 2 - Most of the 2000s and about half of the 2010s were a huge boom for remote workers. It feels like that trend is reversing. Lots of Silicon Valley companies are reversing it, the major Public Cloud providers are specific about location, IBM had a push back towards offices. Walking the fine line between a remote team or an in office team. Also, challenges to stepping into leadership. Some leadership is not remote friendly historically

Topic 3 - If you decide that you want to work around “emerging” technologies, you’re usually having to decide between a few critical factors - travel, visibility/marketing/advocating, salary certainty, and career path.  

Topic 4 - “Move up the stack” or “Move towards value” - Is this something that is realistic for people that have 5+ years in a skill set? What are some realistic things people could do in this domain?

Topic 5 - What are some examples you’ve seen or recommends you’ve been given about how to make these transitions?

Feedback?

• Email: show at thecloudcast dot net
• Twitter: @thecloudcastnet and @ServerlessCast