- InfluxDB Edge Data Replication alters the way operators and developers process time series data across spread environments.
- The launch of this capability marks a crucial step in InfluxData’s journey.
InfluxData, the creator of InfluxDB, a leading time-series platform, announced a new capability, Edge Data Replication, for centralized business insights in distributed environments. The solution helps developers gather, store, and inspect high-precision time-series data in InfluxDB at the edge while replicating all or parts of data into InfluxDB Cloud. The new solution allows developers to collect, store and analyze high-precision time series data in InfluxDB at the edge. At the same time, they can replicate all or subsets of this data into InfluxDB Cloud.
Modern applications produce massive volumes of time series data at the edge and are highly distributed. Managing the data in these applications and associated assets effectively is time-taking and resource-intensive. Developers may often not have the capabilities or budgets to address these enormous data pipelines.
With the help of a new edge database configuration that efficiently ques and mirrors select datasets to the cloud, InfluxDB Edge Data Replication alters the way operators and developers process time series data across spread environments.
The launch of this capability marks a crucial step in InfluxData’s journey. It can help solve key time-series data integration and orchestration challenges for customers building Internet of Things (IoT) and industrial applications in energy, aerospace, manufacturing, etc.
Gartner states, “Enterprises are now employing machine learning models and computing at the edge to preprocess data rather than just migrating data to the cloud. Rather than one-way archiving, early adopters are doing multidirectional synchronization of data between edge, core data center, and public cloud. Two-way synchronization allows enterprises to make use of the elastic nature of the compute infrastructure found among cloud service providers. Furthermore, with the upcoming expansion of edge computing, there will be a growing need for solutions that enable data workflow among edge, storage, and multiple public cloud providers.”
Gain centralized business insights with Edge Data Replication
InfluxData’s Edge Data Replication offers a new and intuitive experience for developers building at the edge as it allows data from an InfluxDB instance to automatically replicate to InfluxDB Cloud with a simple configuration setting. By using the capability with the full power of the InfluxDB platform, which includes its native data scripting language and Flux, users can do the following:
- Connect cloud DataOps and edge: Integrate cloud and edge workloads to mirror data automatically from InfluxDB edge sources to InfluxDB Cloud instances in real-time.
- Reduce cloud entry and exit costs: Smartly filter and combine data from InfluxDB at the edge before it replicates to InfluxDB Cloud. Downsampling data with the help of Edge Data Replication can deliver fast processing and reduce transfer costs.
- Alter data before transfer: Enables the addition of necessary context to edge data needed for processing in the cloud. Cloud processing may need extra dimensions to query on or feature engineering.
- Implement edge/cloud consistency: Prevent any planned or unplanned network connectivity disturbances by queueing data at the edge till it is transferred safely to the cloud.
- Complete data workflow at the edge: Enabling data preprocessing close to data sources can fully support applications at the edge.
“Data has gravity, and much of it is created far from clouds and data centers. This pulls applications out to the edge, where the data is born and produces its greatest value. Unfortunately, most databases don’t acknowledge or respect these emerging hybrid edge-cloud environments,” said Rick Spencer, Vice President of Products, InfluxData. “Edge Data Replication sets a new benchmark for time series platforms by combining the power of cloud with the precision of the edge – a best of both worlds solution that’s key to tomorrow’s distributed applications.”
He added, “Every year there are 10 times more IoT edge devices deployed. Developers know that expectations for consistency, efficiency, and reliability are growing at a similar rate. With this kind of scale, IoT developers need excellence in local operations, taking advantage of granular data for real-time insights and control, while also having a centralized view across all of the edge operations, sometimes at an enormous scale. The combination of Edge Data Replication, InfluxDB at the edge, and InfluxDB Cloud makes building such IoT applications not only possible, but also incredibly simple.”