Operations | Monitoring | ITSM | DevOps | Cloud

InfluxDB Community Office Hours - April 2020

InfluxDB Community Office Hours are one-hour, monthly online sessions, held on the 3rd Wednesday of the month at 10:00 am Pacific Time, by our Influxers to answer your questions about any topic related to InfluxDB or time series. We host this monthly live webinar so that users can directly ask a panel of Influxers questions and talk in real time. We record these sessions and post them on YouTube. InfluxDB Community Office Hours are part of our commitment to open source, developer happiness, and time to awesome.

InfluxDB Community Office Hours - April 2020

InfluxDB Community Office Hours are one-hour, monthly online sessions, held on the 3rd Wednesday of the month at 10:00 am Pacific Time, by our Influxers to answer your questions about any topic related to InfluxDB or time series. We host this monthly live webinar so that users can directly ask a panel of Influxers questions and talk in real time. We record these sessions and post them on YouTube. InfluxDB Community Office Hours are part of our commitment to open source, developer happiness, and time to awesome.

How to design your Elasticsearch data storage architecture for scale

Elasticsearch allows you to store, search, and analyze large amounts of structured and unstructured data. This speed, scale, and flexibility makes the Elastic Stack a powerful solution for a wide variety of use cases, like system observability, security (threat hunting and prevention), enterprise search, and more. Because of this flexibility, effectively architecting your deployment’s data storage for scale is incredibly important.

Apache Arrow, Parquet, Flight and their ecosystem are a game changer for OLAP

Apache Arrow, a specification for an in memory columnar data format, and associated projects: Parquet for compressed on disk data, Flight for highly efficient RPC, and other projects for in-memory query processing will likely shape the future of OLAP and data warehousing systems. This will mostly be driven by the promise of interoperability between projects, paired with massive performance gains for pushing and pulling data in and out of big data systems.

Predicting the Future With Linear Regression in Ruby

The world is full of linear relationships. When one apple costs $1 and two apples cost $2, it's easy to figure out the price of any number of apples. But what happens when you have 100s of data points? What if your data source is noisy? That's when it's helpful to use a technique called linear regression. In this article Julie Kent shows us how linear regression works, and walks through a practical example in Ruby.

Anodot Raises $35M Led by Intel Capital

I’m very pleased to announce that we’ve secured an additional $35 million in funding, bringing our total capital raised to $62.5 million. Intel Capital led our series C fund, along with support from SoftBank Ventures Asia, Samsung NEXT and La Maison. Existing investors Disruptive Technologies L.P., Aleph and Redline Capital Management also participated. Over the past year, we doubled our revenue.

Getting Started with the InfluxDB Go Client

There are several ways to write and query InfluxDB v2 (either open source or Cloud). You can use the HTTP API, Telegraf and any of 200+ plugins, or a client library. However, if you’re specifically looking to build an application with a fast way to fetch data concurrently with an easy binary deploy then — you guessed it — you’d probably want to use the InfluxDB Go Client.

Stop the world, I want to get off. Oh! It stopped...

Sitting here in my home office reflecting the potential problems the world faces both in the short term and longer term, I can’t help but think back to my career before coming to Splunk. That time was spent on the ground working ‘in the real world’, maintaining the operational and security state of systems and networks. I can empathise with the huge pressures the entire IT chain from CIOs, CISOs, IT Managers and IT admins are under right now.

Elastic Cloud Enterprise 2.5: Dedicated coordinating layer, snapshot lifecycle management, and more

We’re excited to announce the release of Elastic Cloud Enterprise (ECE) 2.5! This release improves the experience of managing your deployments with a dedicated coordinating layer, support for snapshot lifecycle management (SLM), and more.