Based on our record, Terraform seems to be a lot more popular than Spark Streaming. While we know about 31 links to Terraform, we've tracked only 3 mentions of Spark Streaming. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In recent years, there has been a significant shift towards automation of infrastructure deployment processes. One popular tool that has emerged as a key player in this space is Terraform, an open-source infrastructure as code (IaC) software tool developed by HashiCorp. This article will explore how Terraform can be integrated into continuous integration and delivery (CI/CD) pipelines using GitHub Actions as an... - Source: dev.to / 2 months ago
Terraform is an open-source infrastructure-as-code software tool created by HashiCorp. It allows you to define and manage your infrastructure as code, making it easy to provision and manage resources across multiple cloud providers. With Terraform, you can ensure consistent and repeatable deployments, making it an ideal choice for automating your cloud infrastructure. - Source: dev.to / 9 months ago
Continuous Integration(CI) pipelines needs a target infrastructure to which the CI artifacts are deployed. The deployments are handled by CI or we can leverage Continuous Deployment pipelines. Modern day architecture uses automation tools like terraform, ansible to provision the target infrastructure, this type of provisioning is called IaaC. - Source: dev.to / about 1 year ago
Had an itch I've been meaning to scratch for a while. I build my Puppet environment using Terraform, which makes it nice and easy to tear things down and rebuild them. That is great, but it does leave me with an issue when it comes to the console SSL certificates. - Source: dev.to / about 1 year ago
If you don't know what Terraform is, you can learn here https://terraform.io. Source: over 1 year ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Rancher - Open Source Platform for Running a Private Container Service
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.