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. Kafka has strong ordering guarantees that enable it to handle all sorts of dataflow patterns including very low latency messaging and efficient multicast publish / subscribe.

There are a few key differences between distributed tracing and OpenTelemetry. One is that OpenTelemetry offers a more unified approach to instrumentation, while distributed tracing takes a more granular approach. This means that OpenTelemetry can be less time-consuming to set up, but it doesn’t necessarily offer as much visibility into your system as distributed tracing does.

Artificial intelligence (AI) and associated technologies, such as machine learning and natural language processing (NLP), are used for daily IT operations tasks and activities. AIOps supports IT Ops, DevOps, and SRE teams working smarter and faster to identify digital-service issues earlier and address them quickly, preventing disruptions to business operations and customers. This is accomplished through algorithmic analysis of IT data and Observability telemetry.

MQTT is a machine-to-machine communication protocol. Devices publish messages to a broker under specific topics, and other devices subscribe to those topics to receive information. It’s popular because it doesn’t take up a lot of bandwidth, so IoT devices with limited network connectivity can use it. MQTT works because of brokers. Each device sending and receiving data can communicate with potentially millions of other devices while only connecting to one broker.

The global Middleware Software market gives a better understanding of the market picture of the local and international markets. It helps the key market players understand the market and product strategies better that can help them survive the global market. The study report gives information on the market volume, market value, predictions of the market share size, and statistics of the international and national level industries.

IBM this week announced patches for high-severity vulnerabilities in IBM MQ, warning that attackers could exploit them to bypass security restrictions or access sensitive information. Messaging and queuing middleware, IBM MQ provides enterprise-grade messaging between applications, enabling the transfer of data between programs and the sending of messages to multiple subscribers. Two security issues were resolved in IBM MQ this week, both residing within the libcurl library.

Communication within organizations has evolved from email threads to real-time chats. With the vast potential of real-time messaging, organizations are beginning to explore how they could make these chat applications do more. We now even have a name for this phenomenon — ChatOps. To get a taste of the power of ChatOps in action, let’s build a ChatOps bot that sits in a Mattermost channel with Errbot.

The latest updated report published by Data Lab Forecast of COVID-19 titled “global Business-to-Business Middleware (B2B Integration) market analysis and forecast 2022-2030” includes information regarding the market share, industry’s growth prospects, scope, and challenges. The study comes up with the research objectives, detailed overview, import-export status, market segmentation, market share, and Business-to-Business Middleware (B2B Integration) market size evaluation.

MQTT is a messaging protocol used widely in the IoT space. Its publish/subscribe model is ideal for IoT because multiple devices can send data to a single MQTT broker, which MQTT clients can then access. The MQTT integration for InfluxDB’s native collector feature is a fast and easy way to create cloud-to-cloud data pipelines. Here’s the lowdown on using the Native MQTT collector. Who: Users and companies that rely on MQTT to provide time series data for their applications.