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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. I was able to see a lot, learn a lot, be impressed a lot, and ponder a lot about all of the wonderful features, functionalities, and future plans for the Splunk platform. is here, now! is here, now!

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Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose

AWS Big Data

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc.

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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO Business Intelligence

The top-earning skills were big data analytics and Ethereum, with a pay premium of 20% of base salary, both up 5.3% Security, as ever, made a strong showing, with big premiums paid for experience in cryptography, penetration testing, risk analytics and assessment, and security testing. in the previous six months. since March.

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How Salesforce optimized their detection and response platform using AWS managed services

AWS Big Data

Kafka had a single topic for all the log types before they were consumed by different downstream applications including Splunk, Streaming Search, and Log Normalizer. In the new design, the upstream systems send their logs to a central Amazon S3 storage location, which invokes a process to partition the logs and store them in an S3 data lake.

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Enhance operational insights for Amazon MSK using Amazon Managed Service for Prometheus and Amazon Managed Grafana

AWS Big Data

Some customers currently use various third-party monitoring solutions like lenses.io, AppDynamics, Splunk, and others to monitor Amazon MSK operational metrics. This feature enables you to scrape a Prometheus friendly API to gather all the JMX metrics and work with the data in Prometheus.

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Migrate from Amazon Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics Studio

AWS Big Data

These are critical for ensuring accuracy, completeness, consistency, and reliability of data stream processing and are not available with Kinesis Data Analytics for SQL. In Kinesis Data Analytics for SQL Applications, scaling is performed by adding more pumps to persuade the application into adding more resources.

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My top learning moments at Splunk.conf23

Rocket-Powered Data Science

Despite the thousands of miles (and kilometers) of separation, I could feel the excitement in the room as numerous announcements were made, individuals were honored, customer success stories were presented, and new solutions and product features were revealed. This reflected my strong interest in observability at that time. Leaders are 7.9x