Gartner analysts predict that the cloud revenue will overtake the revenue from non-cloud and that the global cloud revenue in 2022 would be $474 billion against $408 billion in 2021. In fact, most enterprise adopters of public cloud engineering services use multiple providers. Nearly 80% of the respondents of a Gartner survey also revealed that they opted for two or more cloud providers to leverage best-of-breed solutions and avoid vendor lock-in
Typically, enterprises place frequently accessed data through applications, tools, and dashboards on public servers such as AWS and Azure. Sensitive or mission-critical data accessed through proprietary applications and requiring monitoring is generally kept on private servers. Depending on their use cases, they opt for multiple cloud vendors based on the services they offer.
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Benefits of Multi-Cloud Pipeline
The use of data within the organization is growing in leaps and bounds, providing relevant insights to each function to enable the teams to improve their performance. However, as the same subset of data is used for different applications as input or in a different format, the data may also start getting stored on different cloud servers based on need. This leads to the formation of silos.
A multi-cloud pipeline helps to prevent the formation of silos by enabling data taken from one cloud provider to be worked on using cloud-specific tooling before loading it to a different cloud. This can take care of any compatibility issues between clouds and allow seamless access to data.
Some of the benefits of running a multi-cloud pipeline include:
Delivering different subsets of data
● To different functions
● For different applications
● In different formats
Each is likely to have different service-level requirements or specifications such as low-latency, high priority, in real-time, larger volumes, and so on. This, combined with the cloud silos, can defeat the very purpose for which an enterprise opts for cloud–to be without barriers. A multi-cloud data pipeline facilitates sharing or streaming of data over the cloud infrastructure to ensure that the multi-cloud environment delivers on its promise of providing load destinations across multiple clouds.
To know more about how Indium can help you with your multi-cloud pipeline development and other data migration/replication needs using Striim,
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Building a Multi-Cloud Data Pipeline with Striim
The cloud architecture provides enterprises with tremendous cost benefits as well as increases flexibility. However, managing data across multiple locations and clouds also creates its own set of challenges and introduces the risk of cloud silo.
Traditional approaches to data movement in real-time for certain applications can become difficult due to inherent latency. With the number of sources and targets being very high, batch ETL methods also may not be able to meet the need for data movement.
This creates a need to build a streaming data pipeline for cloud services so that enterprise data can be moved in real-time from on-premises to the cloud and between cloud environments.
The Striim platform enables businesses to leverage their cloud environment for a variety of use cases by enabling the building of a streaming data pipeline. These could be for offloading of operational workloads, data center extension to the cloud, or cloud-based analytics for making informed decisions.
Advantages of Striim for Building Multi-Cloud Pipelines
Some of the advantages of using Striim for building multi-cloud pipelines include:
● Easy-to-use wizards that enable building and modifying highly reliable and scalable data pipelines that allow data to be moved continuously and in real-time without disrupting the performance of the source systems.
● Continuous data synchronization is made possible using non-intrusive, real-time change data capture (CDC) that moves and processes only changed data.
● Processing and formatting in-memory to feed data to the cloud and other targets in real-time with full context.
● In-flight aggregating, filtering, enriching, transforming, and analyzing data of the relevant data sets before delivery to the various endpoints.
● Visualize the data flow and the content of data in real-time using interactive dashboards and real-time alerts. Verify the ingestion, processing, and delivery of streaming data with the built-in data pipeline to cloud monitoring.
You might be interested in this: Cloud Data Migration Demystified
Indium–A Striim Implementation Partner
Indium Software, a cutting-edge software solution provider, is a Striim implementation partner. Our team of Striim experts with cross-domain expertise enabled a private sector bank to migrate its terabytes of data in real-time from their on-premise core banking system to the cloud without disrupting business using data pipeline. Indium leveraged Striim to create a real-time data replication pipeline from the core banking system to the target system with XML conversion on the fly. We were also able to ensure ease of use and effective data monitoring with live dashboards and a diverse set of metrics. Apart from other benefits, we were able to achieve 50% greater efficiency in data migration.
Indium’s deep expertise in implementing Striim can help businesses take advantage of its data pipeline capabilities and improve data usage for drawing meaningful insights. We also provide:
● End-to-end implementation and training in Striim
● Setting up Striim node/cluster with HSA/multi-node architecture
● Customer support for queries of POCs
● Professional services for maintenance and app development
