InfluxDB Cloud consultants
We can help you automate your business with InfluxDB Cloud and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing InfluxDB Cloud.
About InfluxDB Cloud
InfluxDB Cloud is a purpose-built time series database designed for storing, querying, and analysing data that changes over time. It handles metrics, events, sensor readings, and application telemetry at scale — the kind of data that traditional relational databases struggle with once volumes grow beyond basic thresholds.
The problem InfluxDB Cloud solves is specific but common: when your business generates continuous streams of timestamped data — server metrics, IoT sensor readings, financial tick data, or operational telemetry — you need a database that can ingest millions of data points per second and query them efficiently across time ranges. General-purpose databases buckle under this workload. InfluxDB is purpose-built for it.
InfluxDB Cloud becomes especially valuable when connected to real-time processing and automation pipelines. Feeding time series data into automated data processing workflows means you can trigger alerts, generate reports, or feed machine learning models based on live operational data. We built exactly this kind of architecture for our BOM weather data pipeline project, where reliable time series ingestion and processing was the backbone of the entire solution.
If your organisation is collecting time series data and struggling with query performance, storage costs, or integration complexity, InfluxDB Cloud is worth evaluating. Talk to our team about building a time series data architecture that supports real-time analytics and automation.
InfluxDB Cloud FAQs
Frequently Asked Questions
Common questions about how InfluxDB Cloud consultants can help with integration and implementation
What is time series data and why does it need a specialised database?
How does InfluxDB Cloud compare to storing time series data in PostgreSQL?
What types of data sources can feed into InfluxDB Cloud?
Can InfluxDB Cloud integrate with visualisation and alerting tools?
How does InfluxDB Cloud handle data retention and storage costs?
Is InfluxDB Cloud suitable for Australian businesses with data sovereignty requirements?
How it works
We work hand-in-hand with you to implement InfluxDB Cloud
As InfluxDB Cloud consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate InfluxDB Cloud with integrate and automate 800+ tools.
Step 1
Identify Your Time Series Data Sources
Catalogue the data streams your organisation generates — server metrics, application logs, IoT sensors, financial data, or operational telemetry. Estimate the write volume (data points per second) and retention requirements to choose the right InfluxDB Cloud plan.
Step 2
Set Up Your InfluxDB Cloud Account and Bucket
Create an InfluxDB Cloud account and configure a bucket (database) with appropriate retention policies. Select the cloud region closest to your data sources — Australian regions on AWS or GCP provide the lowest latency for local operations.
Step 3
Configure Data Ingestion
Set up data collection using Telegraf (InfluxDB’s agent), client libraries, or direct API writes. Configure your data sources to push metrics to InfluxDB Cloud at the appropriate frequency. Test ingestion with a small dataset before connecting production sources.
Step 4
Write Queries and Build Dashboards
Use Flux (InfluxDB’s query language) or SQL to explore your data. Build dashboards in InfluxDB’s UI or connect Grafana for more advanced visualisation. Focus on the operational questions your team needs answered — trends, anomalies, and threshold breaches.
Step 5
Set Up Alerts and Automated Actions
Configure alert rules that trigger when metrics cross defined thresholds. Connect alerts to notification channels or automation workflows so your team is notified — or corrective actions are triggered automatically — when operational conditions change.
Step 6
Integrate with Broader Data Pipelines
Connect InfluxDB Cloud to your wider data infrastructure — feeding time series insights into analytics platforms, machine learning models, or business automation workflows. This is where time series data creates real operational value beyond simple monitoring.
Transform your business with InfluxDB Cloud
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation InfluxDB Cloud consultation.