Data Legends Podcast Episode 11, David Noblet
Hear about David Noblet's work as Co-Founder + Chief Architect at ChaosSearch.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Episode 3 & 4 Demo | Data Destination & Governance
To coincide with our overview, watch this brief demo on how ChaosSearch can help with your big data analytics challenge of data preparation & governance.
Transforming Kong Logs for Ingestion into Your Observability Stack
As a Solutions Engineer here at Kong, one question that frequently comes across my desk is “how can I transform a Kong logging plugin message into a format that my insert-observability-stack-here understands, i.e. ELK, Loki, Splunk, etc.?” In this blog, I’m going to show you how to easily accomplish converting a Kong logging payload to the Elastic Common Schema. In order to accomplish this task, we’re going to be running Kong Gateway in Kubernetes and using two Kong plugins.
Episode 1 Demo | Data Pipelines
ChaosSearch complements monitoring-focused observability solutions to meet the scale, cost and complexity challenges of operational log analytics.ChaosSearch transforms your cloud object storage into a hot data analytical datalake. Here is how ChaosSearch greatly simplifies the data pipeline.
Episode 2 Demo | Data Preparation
Data preparation issues, particularly at scale, can be solved. How? This demo walks you through how ChaosSearch helps.
Episode 3 & 4 | Data Destination & Data Governance | Data Journey
What are data destinations? In a very abstract sense, data destination is another input along the series of process elements in a data pipeline. However, when calling out an element as the destination, it is really seen as the final destination such as a database, data lake or data warehouse. And yet, any element within the data pipeline has aspects of a final destination (and scaling challenges).
Episode 2 | Data Preparation | Data Journey | 7 Challenges of Big Data Analytics
Data preparation issues, particularly at scale, can be solved. How? Thomas Hazel explains in episode 2 of our binge-worthy #datajourney series.
Episode 1 | Data Pipelines | Data Journey | 7 Challenges of Big Data Analytics
Where does a data journey begin? With the data pipeline. Thomas Hazel begins this 7-part series on solving the biggest data analytics challenges today by starting with the building, scaling and maintenance of data pipelines. Avoid building the Taj Mahal … every 6 months … and join the data journey with us to learn about the unique approach ChaosSearch has taken.
Logging Errors in PHP
Logging PHP errors is essential for monitoring and debugging. This article explores three of the best ways to log errors in PHP.
Data Journey | 7 Challenges of Big Data Analytics | Episode 0
How do you truly solve the challenges of today’s ever growing big data analytic needs? Join us on a data journey with ChaosSearch's CTO & Founder, Thomas Hazel as he gets technical on how to solve 7 of the biggest data challenges teams are facing - from source to insights.