Simplify Elastic Operations without Compromising Data Searchability using FlashBlade

At the infrastructure level, the traditional direct-attached storage model (e.g., Hadoop) means that growing capacity requires higher node counts and therefore growing complexity. Each new node brings…

Cloud-native applications must often co-exist with legacy applications. Those legacy applications are hardened and just work, so rewriting can seem hardly worth the trouble.

For legacy applications to take advantage of new technology requires bridges, and fuse clients for object storage are a bridge that allow most (but not all)…

Kafka and Elasticsearch Pipelines Made Easier with Kubernetes and Object Storage

Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot issues, track historical trends, or investigate security incidents. The most commonly deployed pipeline combines…

A Quick and Easy Tool with No Dependencies

Spent a few hours trying to debug why Apache Spark on FlashBlade is slower than expected only to realize you have an underlying networking issue?

Flashblade-plumbing is a tool to validate NFS and S3 read/write performance from a single client to a…

RESTful interfaces make interacting with modern applications easier for other applications. “Easy” means you can use a variety of languages and tools to build scripts and automation around the application and that REST API, instead of relying only on manual clicks and a GUI.

You may already be familiar with…

Comparing Text, JSON, Parquet, and Elasticsearch

Observability and diagnosability require collecting logs from a huge variety of sources, e.g. firewalls, routers, servers, and applications, into a central location for analysis. These logs help in troubleshooting, optimization, and predictive maintenance; all of which benefit from longer timeframes of log data. But…

Joshua Robinson

Data science, software engineering, hacking

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