Learn about meshIQ Kafka Console Our Cost Effective Solution for Robust Kafka Management
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Published April 4, 2022

Industry analysts do primary research and two of the best, IDC and EMA (Enterprise Management Associates), have recently published some great insights for enterprises in 3 areas:

1.Digital First

Analyst firm IDC has revealed that their “Key Predictions for 2022 and Beyond” include that companies are dramatically accelerating their “Digital-first” initiatives to win in the customer experience (CX) wars and the race to increase digital revenue streams.

Industry Experts Weigh in on
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Published March 24, 2022

Enterprises Relying on IBM MQ, Kafka, TIBCO EMS, Solace PubSub+, and Other i2 are Adopting Nastel Navigator for Integration Infrastructure Management (i2M)

Nastel Technologies today announced the immediate availability of Nastel Navigator 10.4, the world’s leading integration infrastructure administration and secure self-service configuration management solution.

Nastel Announces Secure Self-Service for Solace PubSub+ As Part of New Integration Infrastructure Management Release
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Published December 16, 2021

Recent news about Log4j has enterprises and vendors scrambling for information and answers, including customers of messaging middleware and Integration Infrastructure Management (i2M) products.

Nastel Technologies customers will not be exposed to any risks from this vulnerability, but enterprises are encouraged to check with their Cloud and other solution vendors to protect themselves and their data.

Nastel Products Are Not Affected by Log4j Vulnerability Issues
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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 12, 2021

Integration is now the #1 IT expense category at many enterprises and new complexities increase the burden on Service Delivery, CI/CD, IBM MQ administration, and other “integration professionals” every day.  Your enterprise has Microservices, Mobile, Mainframes, Cloud, and more applications and application updates than you can count and it takes the routing of transactions, messages and more through a rapidly growing integration infrastructure layer to make it all work together.  That is now a trend.

Future Trends & Technology for Your Integration Infrastructure
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Published September 13, 2021

The speed of Information Technology (IT) advancements is astounding. A few years ago, with a little commitment to study, someone could learn enough about IT to build a complete environment by themselves. But today’s hyper-virtualized environments contain so many layers of technology that it takes teams of specialists to be able to build and manage.

Jack of all Trades, Master of One
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Published July 20, 2021

Nastel Technologies today announced that Nastel XRay, a platform designed for enterprises running mission-critical services powered by messaging middleware, is now available through Red Hat Marketplace. Red Hat Marketplace is an open cloud marketplace for enterprise customers to discover, try, purchase, deploy, and manage certified container-based software across environments—public and private, cloud and on-premises.

Nastel Technologies Announces Availability of Nastel XRay Solution on Red Hat Marketplace
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Published July 9, 2021

AIOps is an area of technology that is developing rapidly and is generally accepted to mean “using machine learning to contextualize large amounts of data”.

While data analytics systems are great at identifying unusual patterns in large amounts of data (for example in a data lake) they can be quite poor at providing context to the signals they detect.

Life, the Universe and AIOps