Operations | Monitoring | ITSM | DevOps | Cloud

Anomaly Detection for IoT: A Basic Primer

In the world of IoT, ensuring the reliability, efficiency, and security of connected devices is critical. As IoT devices generate massive amounts of data, detecting anomalies becomes increasingly important. Anomaly detection helps identify potential issues before they escalate, providing businesses with valuable insights and the ability to improve operational efficiency if used correctly. In this article, you will learn about some potential use cases for anomaly detection across different industries.

Myth #5 of Apache Spark Optimization: Spark Dynamic Allocation

In this blog series we’re examining the Five Myths of Apache Spark Optimization. The fifth and final myth in this series relates to another common assumption of many Spark users: Spark Dynamic Allocation automatically prevents Spark from wasting resources.

Myth #5 of Apache Spark Optimization | Spark Dynamic Allocation

Spark Dynamic Allocation is a useful feature that was developed through the Spark community’s focus on continuous innovation and improvement. While Apache Spark users may believe Spark Dynamic Allocation is helping them eliminate resource waste, it doesn’t eliminate waste within applications themselves. Watch this video to understand SDA's benefits, where it falls short, and the solution gaps that remain with this component of Apache Spark.

Product Update: Helm Charts for InfluxDB Clustered

InfluxDB Clustered is an on-prem offering of InfluxDB 3.0, allowing you to deploy the newest version of InfluxDB on your own hardware and manage it with your team. With InfluxDB Clustered, you get high availability and performance out of the box and the ability to fine-tune InfluxDB to fit the performance requirements of your specific use case. InfluxDB Clustered is deployed and managed using Kubernetes.

GreenOps - a guide to creating a sustainable cloud

Green Operations (GreenOps) is an approach to creating an eco-friendly cloud. The aim is to minimize energy waste, increase renewable resources, and decrease their carbon footprint on the planet. Several public cloud providers are aiming to become carbon-negative. By 2030, Google Cloud plans to operate on carbon-free energy around the clock. Microsoft Azure has committed to being carbon-negative by 2030, and AWS aims to run its operations on 100% renewable energy by 2025.

Monitor Microsoft Fabric with Datadog

Microsoft Fabric is Microsoft’s new platform for all things data analytics—integrating key Azure data analysis products like Azure Data Factory, Azure Synapse, and Power BI into a unified platform. Fabric is intended to provide a one-stop shop where users with various levels of expertise across an organization can perform data analysis and collect insights.

Data Visualization Tools For InfluxDB: Grafana, Tableau, and Apache Superset

Integrating data visualization tools with databases like InfluxDB is crucial for developers looking to enhance analytical capabilities and derive actionable insights from complex datasets. Grafana, Tableau, and Apache Superset—all of which you can use with InfluxDB—are popular visualization tools with different features and benefits.

Reverse your ETL: Stream BigQuery data to Aiven for Apache Kafka with continuous queries

BigQuery continuous queries enable the reverse ETL pattern. You can now stream your enriched data from BigQuery back to the operational data layer using Aiven for Apache Kafka. BigQuery enables customers to quickly generate insights about their data. Its native integration with AI tools allows organizations to transform row assets into valuable information that can be used to generate more accurate decisions, streamlining companies' growth.