Scaling Kafka? Learn How To Avoid Costly Mistakes! Download Our Free eBook
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Published September 14, 2022

Apache Kafka is a high-throughput, low-latency platform for handling real-time data feeds. Its storage layer is in essence a massively scalable pub/sub message queue designed as a distributed transaction log. It can be used to process streams of data in real-time, building up a commit log of changes.

How to use OpenTelemetry for Kafka Monitoring
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Published March 10, 2022

IBM Cloud Pak for Integration (CP4I) is a platform that helps you quickly and easily integrate your hybrid cloud applications with the systems and applications that are important for running your business. It can help to collaborate between the different application teams and businesses that exist in your organization and ensure that they are working together at maximum efficiency.

What is IBM Cloud Pak for Integration?
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Published November 9, 2021

Complex enterprises have an integration infrastructure (i2) layer that connects technologies and applications across cloud, data center, virtualized systems, mainframe, edge computing, etc.

Integration Infrastructure Management (i2M) is the “management” of the i2 layer and includes:

  • Configuration and security management
  • Monitoring and fault management
  • Alerting and automation
  • Performance optimization

The i2 layer includes a core middleware application (such as IBM MQ) along with many other “integration” technologies, such as MFT (managed file transfer), IoT, REST APIs, DataPower Gateway, and other messaging technologies (i.e., Kafka, TIBCO EMS, IBM ACE, IBM Integration Bus (IIB) and more).

Observability, AIOps, APM, and i2M: The Partner Ecosystem for IBM MQ Enterprises
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Published September 21, 2021

What do you most want to learn about to advance your career or help your organization excel and gain a competitive advantage in 2022?

TIP #1: What is Trending with Your Peers?

IT Ops Automation and AIOps Tools: Tips for 2022
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Published April 5, 2021

Customer experience, also known as CX, is a hot topic today.  Observability and AIOps (machine learning and artificial intelligence for IT operations), can be used for determining and linking transaction performance to your business performance, in real-time.  That makes them hot topics as well.  I recently spoke with two experts about the intersection of these topics to discuss what leading companies are doing (and evaluating) in these areas, and how they’re doing it.  The discussion includes these areas:

  • AIOps
  • CX (Customer Experience)
  • Observability
  • Advanced Troubleshooting and RCA (root cause analysis)
  • Next Generation Monitoring / APM
  • End-to-end Message and Transaction Tracking
  • IBM MQ, Kafka, and challenges with monitoring and management of multi-middleware environments
  • Build vs.
Leigh Reed

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