Plainview, NY, USA
1994
  |  By meshIQ
The most common Apache ActiveMQ high availability mistake is not a configuration error; it is a false assumption. Teams deploy two broker instances, point clients at both with a comma-separated URL, and label the topology "HA." Then the primary crashes, the secondary does not have the message state, and clients start throwing exceptions while the ops team scrambles.
  |  By meshIQ
Every team running Apache ActiveMQ in production eventually hits the same conversation: throughput is lower than expected, latency is inconsistent, or producers are getting blocked without an obvious reason. The broker logs show flow control events. Queue depth is climbing.
  |  By meshIQ
When engineers search for "Apache ActiveMQ vs Apache Artemis," most of what they find is either a shallow feature checklist or a confident recommendation to "just migrate to Apache Artemis." Neither helps a senior architect deciding whether to stay on a stable, battle-hardened Apache ActiveMQ deployment, or a platform team evaluating both options for a new system with clear eyes.
  |  By meshIQ
If your Apache ActiveMQ deployment has a growing ActiveMQ.DLQ, you are not alone, and you are looking at the right problem. An unbounded, unmonitored dead letter queue is one of the most common root causes of "invisible" message loss in enterprise messaging environments. DLQ messages land without fanfare, nobody notices, and business-critical data quietly disappears from the processing pipeline.
  |  By meshIQ
The shift from legacy middleware to open-source innovation promises agility and cost savings, but introduces the 'Modernization Tax'—operational complexity that requires new approaches to observability, governance, and management across hybrid messaging environments.
  |  By meshIQ
Stop looking at the highway (the network) and start looking at the cars (the transactions).
  |  By meshIQ
Apache Kafka partition count isn't just a number—it defines parallelism, ordering, and operational complexity. Learn the formula to balance throughput requirements with maintenance costs, avoid common anti-patterns, and find your 'Goldilocks' number for production-ready performance.
  |  By meshIQ
Modernizing messaging infrastructure delivers 188% ROI and payback in under 6 months, according to Forrester TEI study. Move beyond maintenance cycles to unified visibility, AI-driven efficiency, and secure self-service that transforms middleware from bottleneck to competitive advantage.
  |  By meshIQ
Apache Kafka 4.x eliminates the final barriers to legacy middleware modernization. With KRaft mode removing ZooKeeper dependency and native queue semantics bridging the gap, enterprises can finally transition from point-to-point messaging to event-driven architectures.
  |  By meshIQ
When Apache Artemis and Apache Camel work separately, critical transactions can vanish into the "Integration Blind Spot." Learn how unified visibility transforms these invisible handshakes into clear, trackable flows that protect revenue and prevent outages.
  |  By meshIQ
Application and integration DevOps professionals rely heavily on messaging, event processing, and streaming to build mission-critical applications. meshIQ delivers a single pane of glass that provides visibility into complex M/E/S/H environments, significantly reducing the risks to application stability and performance.
  |  By meshIQ
Welcome to meshIQ
  |  By meshIQ
Nastel XRay 1.5 release builds on industry analyst acclaim for leading AIOps & transaction observability vendor. Nastel Technologies, the leader in integration infrastructure management (i2M) solutions, announced today significant enhancements to its versatile AIOps and Transaction Observability solution, including machine learning for integration management, and visualization of business flows and IoT locations.
  |  By meshIQ
Introduction video for Nastel Technologies' solution for managing and monitoring your digitized transaction flow based on middlewares such as IBM MQ, Kafka, Solace or TIBCO. Nastel can help you through all processes of workflow digitization.
  |  By meshIQ
Frustrated with how long it takes to roll out new applications (and updates) when changes are required to messaging middleware environments? Is your team getting blamed for issues outside your control? During this short webinar and open Q&A, we will discuss.
  |  By meshIQ
This 45 minute video covers the fundamentals of MQ statistics, including architecture, setup and usage and several related use cases.
  |  By meshIQ
Nastel MSK is an option for using Apache Kafka. This introduction explains the basics of Amazon MSK and the show how in just a matter of minutes, you can be using Nastel to manage, monitor and track your Kafka usage.
  |  By meshIQ
This demo covers Custom attributes and how they can be used to display, filter and monitor data managed by Nastel.
  |  By meshIQ
IBM DataPower Gateway is the latest variant of DataPower and helps organizations meet the security and integration needs of a digital business in a single multi-channel gateway. It provides security, control, integration and optimized access to a full range of mobile, web, application programming interface (API), serviceoriented architecture (SOA), B2B and cloud workloads.
  |  By meshIQ
This a complex question with deep implications that touch many areas of the business including the executive team, finance, procurement and Human Resources. In this short webinar we will discuss some of the areas that must be considered and provide you with some strategic ideas to improve your business. This presentation is gleaned from the hundreds of man-years of experience our experts have had in answering this exact question.

Observability Platform for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH).

Application and integration DevOps professionals rely heavily on messaging, event processing, and streaming to build mission-critical applications. meshIQ delivers a single pane of glass that provides visibility into complex M/E/S/H environments, significantly reducing the risks to application stability and performance. This speeds up mean-time-to-resolution (MTTR) and improves mean-time-between-failures (MTBF), ultimately improving application SLAs and customer experience. From modern Kafka-based streaming to legacy messaging technologies like IBM MQ, meshIQ supports every major platform out there.

A must have for every Messaging Deployment:

  • Governance: meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages.
  • Introspection: Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis.
  • Intelligence: Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict.
  • Action: Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML.

Intelligence From Integration.