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.
The benefits of Apache Kafka monitoring services are widely appreciated across the industry.
Organizations that rely heavily on Apache Kafka for their data streaming needs can derive great benefit from the use of Kafka monitoring services.
Apache Kafka is a distributed messaging system that can be used to build applications with high throughput and resilience. It is often used in conjunction with other big data technologies, such as Hadoop and Spark. Kafka-based applications are typically used for real-time data processing, including streaming analytics, fraud detection, and customer sentiment analysis.
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.
Artificial Intelligence (AI, also called Machine Learning) is certainly making its way in the world. Technologies such as Voice Recognition, Face Recognition, Predictive Analytics, Self-driving cars, and Robotics are now becoming embedded into our society. With the advent of big-data, these technologies can become more and more powerful and more and more a part of our everyday lives.
Today, I would like to simplify the technical advantage that Nastel Technologies offers its clients. In a nutshell, Nastel is the leader in i2M (Integration Infrastructure Management) by managing a multi-middleware-platform infrastructure (MQ, Tibco, Kafka, Solace, …) from one interface.
One of my clients recently shared that their boss told them to pick one middleware environment to address all their needs, which would come with its management software.
Most companies take their integration infrastructure for granted. I’m talking about middleware such as IBM MQ, Kafka, Solace, ActiveMQ, RabbitMQ. These form the basis of most enterprise-level businesses.
One of our electronic manufacturing customers was building products worth $40K per minute.
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:
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).
Researchers and thought leaders shared 3 predictions for enterprise CIOs and IT leaders that are particularly relevant and important to consider as we move into 2022:
Prediction 1: Through 2026, 65% of CIOs will sustain a cycle of tech-based empowerment, agility, and resilience through collaborative governance, new service delivery models, and a business outcomes orientation.