Timescale Newsletter Roundup: March 2020 Edition
From new remote-friendly online coding sessions to ways to roll-your-own analytics solutions, we craft our newsletter to share awesome technical content and resources with our community 2x/month.
We’re always creating new documentation, tutorials, code samples, and virtual sessions to help developers everywhere do amazing things with their data. And, to make it easy for our community members to discover and get the resources they need to power their projects, teams, or business with analytics, we round up our favorite new pieces in our biweekly newsletter.
We’re on a mission to teach the world about time-series data, supporting and growing communities around the world.
...sharing educational resources as broadly as possible is one way to do just that :).
Here’s a snapshot of the content we shared with our readers this month (subscribe to get updates straight to your inbox).
New technical content, videos & tutorials
Follow this step-by-step tutorial to run queries against John Hopkins University's COVID-19 confirmed case reports, use Grafana to plot your results on a world map, and share your findings.
Learn how Tyler - one of our newest additions to the team - setup a "roll-your-own monitoring" solution with 99% storage savings – and how you can do the same, be it for your personal projects or a critical piece of business infrastructure.
[Session Replay]: Analyze Your Prometheus Data in SQL: 3 Queries You Need to Know >>
Our resident webinar pro Avthar breaks down how to set up a long-term store for Prometheus metrics (and why you should), write custom queries, and spin up Grafana dashboards.
Public datasets often require a series of cleanup (or "normalization") steps. We show you 2 ways to rework your data, so you get to the best part: analyzing and using data to better understand your world.
Follow along with this <10 min video to see how to write queries to store + analyze your monitoring data and spin up Grafana dashboards to visualize trends.
In “Your Questions Answered,” we share a few questions we’ve received from around the world and answer for all to see. We tackle how to scale your reads and writes, improve continuous aggs, query geospatial data, and more.
New #remote-friendly events & community
[#remote-learning] Guide to Grafana 101: How to Build (awesome) Visualizations >>
We 💛 Grafana @ Team Timescale – join Timescale Developer Advocates as they talk through how to build Grafana visualizations that work with any dataset. Our goal: you leave with the practical skills and inspiration you need to build your own (awesome) dashboards for your projects.
- 📊RSVP to start tackling filters, gauges, histograms, world maps, and more.
[Community Meetup] Join us @ DataPub a virtual meetup for open data enthusiasts >>
Love open datasets, hearing about community members’ projects, and learning how to build your own? Join us to learn ways to use public data to monitor situations (including COVID-19), rework inefficient queries, and more.
- 🙌 to our guest speakers @jqnatividad, @thejonanshow, and @saheelahmed4
- Note: we hosted our inaugural session on Tuesday, March 31st. Missed it? Sign up for the Tuesday, April 21st session.
[Timescale Product] : Get your questions answered @ Timescale Office Hours >>
Have a query? We’ve got answers. Join community members and the Timescale product and Customer Care team - whether you’re just getting started or have advanced questions, we’re here to help.
[Timescale Product]: Check out the latest 1.6.1 release updates and what’s coming soon >>
We just shipped a minor maintenance release with numerous bug-fixes, now available via GitHub and in Timescale Cloud (thank you to our community members who submitted issues!).
- 📧Want updates delivered straight to your inbox? Subscribe to our release notes.
And, that concludes this month’s newsletter roundup. We’ll continue to release new content, events, and more - posting monthly updates for everyone.
If you’d like to get updates as soon as they’re available, subscribe to our newsletter (2x monthly emails, prepared with 💛and no fluff or jargon, promise).