Finally – the freedom to choose the best tools for the job.
Observability requires you to analyze the widest set of data possible to truly understand the security, performance, and general health of your environment. However, this can be a challenge for enterprises that already have an observability solution in place. Many tools make it difficult to send data to third-party analytics vendors: They want you to use their stack, even if it’s not the best choice for your business. You need an easier way to move data into any tool you want, so you’re always using the best tool for the job – and the most cost-effective one.
Stream is built around protocols first, and then around specific vendors as needed. Since we focus on standards, you can bring any source into the equation, and send that data to any system of analysis – or to multiple destinations at a time.
Stream can receive push data from sources such as Splunk, HTTP, Elastic Beats, Kinesis, Kafka, TCP JSON, and pull data from Kafka, Kinesis Streams, Azure Event Hubs, SQS, S3, Microsoft Office 365, or even external inputs such as weather data, air quality, and anything else your business wants or needs to drive better decisions.
With Stream it’s finally possible to send the exact data your organization needs, in the precise format required, to the best location. At the end of the day, your analytics tools are only as good as the data they receive.
Stream data through Stream to Splunk, AWS Kinesis Streams, SQS, and CloudWatch Logs, Elasticsearch, Honeycomb, TCP JSON, Syslog, Kafka Azure Event Hubs and Monitor Logs, StatsD and StatsD Extended, Graphite, InfluxDB, Wavefront, SignalFx, and more, as well as destinations that support batch or non-streaming output such as S3 compatible stores, filesystem/NFS, MinIO, Google Cloud Storage, and Azure Blob Storage.
Stream unlocks more options for your observability data – and your organization. It goes beyond collecting data from any source and delivering it anywhere; Stream optimizes your observability pipeline, giving you the flexibility to choose the best tools for your use case – regardless of your current vendor.
Stream is built around protocols first and around specific vendors only as needed, helping you avoid lock-in and open up more choices for your data. Send data to the best tool for the job – or all the tools for the job – by translating and formatting data into any tooling schema.
Smoothly and securely migrate workloads to new vendors and tools – without worrying about dropping data. Easily choose the vendors that are best for your business, or migrate on-prem data to the cloud to simplify management.
See how this industry titan broke free from a complex legacy data pipeline infrastructure with Stream – reducing duplicate data by 15%!