We are excited to partner with AWS and announce the availability of InfluxDB on the new Amazon Elastic Container Registry Public announced this week at AWS re:Invent. With this new registry, developers can now find their favorite open source products from within the AWS developer experience. At InfluxData, we believe it is important to bring our product — InfluxDB — to the platforms and ecosystems where our developers are building. And of course, many of our developers are building on AWS.

Python introduced support for type hints in Python 3.5 via PEP 484, allowing tools like Mypy and Pyright to check your Python code for type conflicts before execution. This also helps tools that provide code auto-complete — like IDE, IPython, and Jupyter Notebooks — by providing a complete function signature, even for functions that are generated on import time like the Elasticsearch Python client.

The growing popularity of Docker has led many enterprises to containerize applications. By 2022, more than 75% of global organizations will be running containerized applications in production, Gartner predicts, up from less than 30% today. Yet the shift to containers has posed new challenges to performing effective monitoring. As more applications move to the cloud and become containerized, the demand for dynamic container monitoring has become more urgent.

When analysing data one of the biggest questions you may often face is: what is causing this situation? In this blog, we’re going to look at how causal inference can be used to understand in more detail what the biggest influencing factors are across a dataset. Traditionally in Splunk, we talk about correlation; does metric x go up or down in accordance with metric y or is there a relationship between x and y?

When building a full-text search experience such as an FAQ search or Wiki search, there are a number of ways to tackle the challenge using the Elasticsearch Query DSL. For full-text search there’s a relatively long list of possible query types to use, ranging from the simplest match query up to the powerful intervals query.

Metrics and Insight have been the obsession of every sector for decades now. Using data to drive growth has been a staple of boardroom meetings the world over. The promise of a data-driven approach has captured our imaginations. What’s also a subject of these meetings, however, is why investment in data analysis hasn’t yielded results. Directors give the go ahead to sink thousands of dollars into observability and analytics solutions, with no returns.

Welcome to the second part of our three-part blog series on leveraging analytics to deliver an exceptional end-user experience. In the last part, we discussed two key points: how to gauge the effectiveness of your support forms using analytics, and how to pick the right metrics that focus on customer satisfaction. In this part, we’ll discuss the next two ways analytics can help you deliver an exceptional end-user experience.