Operations | Monitoring | ITSM | DevOps | Cloud

InfluxData

How InfluxData and Dremio Leverage the Apache Ecosystem

InfluxData and Dremio have always been at the forefront of embracing open source solutions to enhance their product offerings. This post discusses how both companies currently leverage the Apache Ecosystem and describes the downstream impact these powerful technologies have on their offerings. InfluxData created and maintains InfluxDB, a time series platform.

LBBC Technologies Creates a Custom Predictive Maintenance Program with InfluxDB, AWS, and MQTT

LBBC Technologies is almost 150 years old and dedicates time and resources to pushing the boundaries of pressure vessel and autoclave design through precision engineering, advanced technologies, and electronic intelligence. They prioritize investments in research and development to advance their vision for the future.

Announcing InfluxDB Clustered: InfluxDB 3.0 for Self-Managed Environments

Today, we’re excited to announce InfluxDB Clustered, our latest product developed on the InfluxDB 3.0 product suite. InfluxDB Clustered is the evolution of InfluxDB Enterprise, our popular self-managed product for large-scale time series workloads. For enterprises, the performance leap from InfluxDB Enterprise to InfluxDB Clustered is orders of magnitude higher with significant improvements across analytics, storage, and costs.

InfluxData Announces InfluxDB Clustered to Deliver Time Series Analytics for On-Premises and Private Cloud Deployments

SAN FRANCISCO – September 6, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced InfluxDB Clustered, its self-managed time series database for on-premises or private cloud deployments. With the release of InfluxDB Clustered, InfluxData completes its commercial product line developed on InfluxDB 3.0, its rebuilt database engine optimized for real-time analytics with higher performance, unlimited cardinality, and SQL support.

Predictive Analytics Using a Time Series Database

Predictive analytics harnesses the power of big data, statistical algorithms and machine learning techniques to anticipate future outcomes based on historical data. Various industries use predictive analytics, from finance and healthcare to retail and marketing. Among its many uses, predictive maintenance and anomaly detection are two significant applications.

Can Companies Really Self-Host at Scale?

Self-hosting is effective for many companies. But when is it time to let go and try the easier way? There’s no such thing as free lunch, or in this case, free software. It’s a myth. Paul Vixie, vice president of security at Amazon Web Services, creator of the original Domain Name System (DNS), gave a compelling presentation at Open Source Summit Europe 2022 about this topic.

Alerting with Grafana and InfluxDB Cloud Serverless

Combining these two platforms provides an efficient, scalable and customizable tool for real-time data monitoring and alerting. In the data analytics and visualization world, it is crucial to have a system that not only effectively monitors your data, but can also alert you about any potential discrepancies or anomalies that may arise. One powerful tool set that enables you to monitor and alert on time series data is Grafana and InfluxDB Cloud Serverless.

Infrastructure Monitoring Basics with Telegraf, InfluxDB, and Grafana

Earlier this year, I had the pleasure of speaking at the Open Source Summit North America. When choosing a topic, I felt it was time to return to our roots and discuss the subject that originally put InfluxDB on the map: infrastructure monitoring. What was especially exciting was the opportunity to showcase the new capabilities of InfluxDB 3.0 to the open source community and explain their significance for the future of infrastructure monitoring use cases.

12 Best Application Performance Monitoring (APM) Tools

In today’s fast-paced world, applications are vital for driving businesses forward. However, without proper monitoring and insights into your application’s performance, you can’t identify what causes slow response times, high CPU usage, or database bottlenecks. But with an Application Performance Monitoring (APM) tool, you can gain deep visibility into your application’s performance by tracking critical metrics.