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Learn how ML-Assisted Thresholding in Splunk ITSI can recommend the optimal adaptive threshold configurations for KPIs so you can get up and running faster.
Latest Articles
Effectively-Once Semantics in Apache Pulsar
"Exactly-once" is a controversial term in the messaging landscape. In this post we'll offer a detailed look at effectively-once delivery semantics in Apache Pulsar and how this is achieved without sacrificing performance.
The Results Are In! What Are Your Peers Doing for IT Event Management?
Key findings from a recent Quocirca survey providing insight on how organizations cope with common event management pain points
Microservices: From System of Record to System of Action
Discover the evolution of data in enterprise systems from systems of record to systems of action and the importance of both the data layer and event layer for microservices-based applications.
How to Add and Remove Nodes in Apache Pulsar
See how easy it is to add and remove nodes in Apache Pulsar without the need to rebalance data like other messaging systems such as Apache Kafka.
Ensuring Success with Splunk ITSI - Part 3: Adaptive Thresholding
Advanced threshold and alerting guidance to produce trusted alerts from ITSIs machine learning adaptive thresholds configuration
How to Migrate Apache Kafka Applications to Apache Pulsar
In this post and accompanying video tutorial, Streamlio engineer and co-founder Sijie Guo shows you how to migrate an Apache Kafka application to Apache Pulsar with no code changes using the Kafka API wrapper.
Why You Should Adopt a Multi-Tenant Solution for Real-Time Applications
Dive into what multi-tenancy is, why it’s so important, and why Apache Pulsar provides an extremely compelling model of multi-tenancy.
Ensuring Success with Splunk ITSI - Part 2: Alerting Basics
Configuring Splunk IT Service Intelligence to produce accurate and trusted alerts
Comparing Pulsar and Kafka: How a Segment-Based Architecture Delivers Better Performance, Scalability, and Resilience
In this second post in a series, Sijie Guo compares Apache Pulsar and Apache Kafka's storage and failure recovery models.
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