Scaling Kafka? Learn How To Avoid Costly Mistakes! Download Our Whitepaper
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Published July 12, 2022

Continuous Integration and Continuous Delivery (CI/CD) is perhaps best represented by the infinity symbol. It is something that is constantly ongoing, new integrations are rolled out while not interrupting the flow of information that is already running, as to stop systems in order to update them can be costly and inefficient.

Performance Benchmarking as Part of your CI/CD Pipeline
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Published June 30, 2022

Continuous intelligence (CI) platforms can be used to collect telemetry data from various sources, perform analysis on that data, make inferences about the data, and provide real-time insights that help businesses understand what’s going on.

For years, network, application performance, and security monitoring were fairly passive operations.

Your Telemetry Data is Faster, Is Your Analysis?
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Published June 27, 2022

Devops is tough, but the choice between faster development and improving reliability shouldn't be. Consider shifting-left security, better observability, AIops platforms, and more.

Devops is primarily associated with the collaboration between developers and operations to improve the delivery and reliability of applications in production.

7 devops practices to improve application performance
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Published April 8, 2022

Developers strive to produce efficient code. Many times, developers will add code to their repositories and test it to make sure it works, but they are forgetting one very important step: benchmarking! Benchmarking allows developers to see the performance impact on their code output.

Continuous Performance Regression Testing for CI/CD
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Published March 30, 2022

Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK is a fully managed Kafka service that makes using Kafka even easier.

Managing Kafka on AWS with Nastel Navigator
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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 October 20, 2021

As I said before, Speed is King. Business requirements for applications and architecture change all the time, driven by changes in customer needs, competition, and innovation and this only seems to be accelerating. Application developers must not be the blocker to business.

Hybrid Multi-Cloud Demands Holistic Observability
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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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