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InfluxDB Named a Leader in G2's Summer Grid Report for Time Series Databases

Industry-leading time series platform recognized for ease of setup and user satisfaction SAN FRANCISCO, June 30, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has been named a leader in the G2 Grid for Time Series Databases, as well a leader within the inaugural Momentum Grid® Report for Time Series Databases in the Summer 2022 ratings from G2, the world’s leading business solution review platform.

How to run Spark on Kubernetes reliably on spot instances

The utilization of spot instances can be one of the fastest and easiest ways to drastically reduce the compute costs of your Spark infrastructure when you run in the cloud. In this article, we will discuss two techniques specific to Spark on Kubernetes, Enhanced Spot Instance Selection and Executor Decommissioning, that can both remove some pitfalls of spot instances and increase the reliability of your compute – resulting in faster, cheaper applications.

TL;DR Replication from Edge to Cloud with InfluxDB

Depending on your available resources, data analysis can take place at the edge or in the cloud, but businesses don’t need to choose one location over the other. There are benefits to giving the edge autonomy to collect, process, and act on data locally. Data replication helps maintain edge autonomy and makes it easier for users to get the data they need, where they need it.

Here's how Machine Learning puts the 'personal' in ecommerce personalization

You can transform your search box into your sales rep—when you have the right tools. An impactful customer experience that drives purchases and loyalty isn't just about delivering what a customer says they want — it's about predicting and proactively serving up what they need. We might be able to imagine this work in a store with salespeople. But as organizations scale and customer interactions happen across digital and in-person mediums, their data grows.

MQTT vs Kafka: An IoT Advocate's Perspective (Part 3 - A Match Made in Heaven)

So here we are…the final chapter. In Part 2 of this series, we started to drill down into some of the concepts that make Kafka great. We concluded that although terminology between MQTT and Kafka was similar (for example topics), they behaved quite differently under the hood. We also took a brief overview of Kafka Connect and how we can use some of the enterprise connectors to stream our data to other platforms. Yet we did learn that Kafka does have some shortfalls.

Elastic Enterprise Search 8.3: More ingestion options for searching across any dataset

8.3.0 has an issue that could cause creating and accessing snapshots against Azure snapshot repositories to fail authenticating when using SAS tokens. This impacts self-managed customers who have deployed 8.3.0. Elastic Cloud Azure deployments are not currently being upgraded to 8.3.0 and are not impacted as a result. The latest release of Elastic Enterprise Search brings to market enhancements to getting data into Elastic Enterprise Search.

Spinning Time Series into Efficient Wind Power

Operating sustainably and promoting green practices can be more complex than you imagine. The benefits of sustainable practices can be significant for businesses, people and the planet. Companies need to ensure that they’re achieving those benefits in a way that complies with established rules and regulations to maximize the impact these initiatives have.