Operations | Monitoring | ITSM | DevOps | Cloud

9 Tools and Integrations for InfluxDB

InfluxDB is the go-to database for developers working with high-velocity time series data for use cases like application performance monitoring and real-time analytics. But InfluxDB exhibits its true power when combined with the right tools and integrations. The tools covered in this blog post can help at all stages of your workflow, from data collection to visualization and analysis, so you can get the most out of your InfluxDB deployment.

Replacing cron jobs and dbt pipelines with ClickHouse Refreshable Materialized Views

For ClickHouse to achieve the speed it's known for, it has historically relied on a trigger-based and incremental architecture for materialized views. This architecture is known to be very efficient but lacks flexibility, such as when working with data that needs to be backfilled rather than append-only.

Elephant in the Room, Episode 1: Working with Long Form Text in PostgreSQL and Django

Welcome to “Elephant in the Room – Presented by Aiven. In this new live series, we dig into the real-world challenges developers face when building modern applications on PostgreSQL, the elephant everyone depends on but few truly understand. Episode 1: Join Jay Miller, Staff Product Advocate at Aiven, and special guest Jeff Triplett, Partner & Engineer at REVSYS and long-time Django community leader, as they explore how developers can harness PostgreSQL’s native text-search capabilities to build faster, smarter, and more efficient applications.

Get Kafka-Nated Episode 3

Join us for Episode 3 of Get Kafka-Nated, where host Hugh Evans sits down with Greg Harris, Staff Software Engineer and the driving force behind KIP-1150, to explore the future of cloud-native Apache Kafka. In this episode, we dive into diskless Kafka — a bold reimagining of Kafka’s architecture that moves data from broker disks to object storage. Greg explains the technical challenges, the operational benefits, and the broader implications for Kafka users.

Open Source & The New Era of AI Data Infrastructure - Aiven for Startups at Slush

There’s a foundational shift underway in the data infrastructure behind AI-native applications. In this fireside chat, we break down the technical requirements that make today’s data infrastructure dramatically different from what it used to be and what builders need to understand to keep up. In this talk, top founders defining the industry, Rebecka Storm, Co-Founder and CPO of Twirl (Acquired by Modal) and Heikki Linnakangas, Co-Founder of Neon (Acquired by Databricks) will dive deep into theme of AI data infrastructure and open source, moderated by Oded Valin (Aiven).

Smart Home Monitoring with InfluxDB 3, Google Nest, and Grafana

Your smart home devices generate vast amounts of scattered data—this tutorial shows you how to centralize it into a unified platform using InfluxDB 3 and Grafana. You’ll not only track your home’s vital signs but also learn professional software development concepts, such as time series database design and building resilient data pipelines, applicable to various monitoring and analytics systems. Before we begin, ensure you have.

Data Observability: Build confidence in the data life cycle

Datadog Data Observability provides a complete solution with quality checks (e.g., volume, row changes, freshness), custom SQL-based monitors, anomaly detection, column-level lineage across systems like Snowflake and Tableau, full pipeline visibility, and targeted alerts when data issues arise.