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By Sean Riley
Mainframes are the workhorses of many enterprise systems, known for their reliability and ability to handle high transaction volumes. However, as technology evolves, even these robust systems need upgrades to keep up with modern demands. A smooth mainframe upgrade isn’t just about upgrading the core system; it’s also about ensuring that the surrounding infrastructure, including messaging systems like IBM MQ, functions seamlessly during and after the upgrade.
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By Navdeep Sidhu
Apache Kafka is the go-to solution for companies needing to move data fast and efficiently, but here’s the catch—when you’re handling sensitive data, the stakes are high. One misstep in your security configuration, and you’re not just dealing with a hiccup; you could be looking at full-blown security breaches, unauthorized access, or lost data. No one wants that. Yet, many organizations still stumble into the same security pitfalls.
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By Richard Nikula
Kafka’s bread and butter is real-time data streaming, but like any complex system, it can run into performance issues. These problems often sneak up as your cluster scales, leading to bottlenecks, slowdowns, or even crashes if left unchecked. The good news? Most of these issues are fixable with the right diagnosis and a few tweaks. In this blog, we’ll look at some of the most common Kafka performance issues and provide practical solutions to get things running smoothly again.
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By Navdeep Sidhu
If you’ve been working with Kafka long enough, you know its power when it comes to real-time data streaming. But, like any complex system, it comes with its own set of headaches—especially when it comes to partition rebalancing. One day your cluster is humming along, and the next, a rebalance kicks in, and suddenly you’re staring at a bunch of overloaded brokers and bottlenecked data flows.
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By Albert Mavashev
Mainframes. Just the word alone can conjure up images of massive, humming machines sitting in a data center, quietly running the backbone of your business. These systems have been around for decades, rock-solid and dependable, but let’s be honest—they’re not exactly built for the speed and flexibility of today’s tech world. The good news? You don’t have to retire your trusty mainframe to keep up with modern demands.
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By Sean Riley
Ah, Kafka—the powerhouse behind real-time data streaming in today’s world. It’s efficient, scalable, and handles vast amounts of data with ease. But with great power comes great responsibility, right? And in 2024, with cyber threats more sophisticated than ever, securing your Kafka environment is no longer just a good idea—it’s non-negotiable.
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By Albert Mavashev
Kafka brokers are the backbone of your data streaming architecture. They’re responsible for storing, distributing, and managing large amounts of data in real-time. As your Kafka cluster scales, keeping those brokers healthy, optimized, and resilient becomes more critical than ever. Proper broker management ensures that your data streams are running smoothly, that performance is maximized, and that any faults are handled without major interruptions.
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By Navdeep Sidhu
Handling real-time data at scale? Apache Kafka is likely at the heart of your system. It’s robust, fast, and highly reliable. But as Kafka clusters grow, so does the complexity of maintaining balanced workloads across brokers and partitions. Without a solid strategy for distributing that load, you’re likely to run into bottlenecks, resource exhaustion, and consumer lag—none of which are fun to deal with. So, how do you keep your Kafka setup running efficiently and smoothly?
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By Sean Riley
Apache Kafka plays a critical role in financial services by providing a robust, scalable, and real-time data streaming platform. The financial industry relies heavily on processing vast amounts of data quickly and reliably, and Kafka’s capabilities are well-suited for this environment. Below are some key use cases of Kafka in financial services.
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By Sean Riley
Running Apache Kafka in production? You know monitoring is a must. But with all those metrics coming at you, it’s easy to get lost in the weeds. After a while, you start to figure out that monitoring everything isn’t really worth it. It’s about focusing on a few key metrics that give you the biggest bang for your buck. Here’s a breakdown of the most important Kafka performance metrics to keep your eye on.
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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.
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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.
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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.
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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.
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By meshIQ
This 45 minute video covers the fundamentals of MQ statistics, including architecture, setup and usage and several related use cases.
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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.
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By meshIQ
This demo covers Custom attributes and how they can be used to display, filter and monitor data managed by Nastel.
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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.
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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.
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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.