Middleware

Application Performance Monitoring Best Practices – Dealing with False Positives

When monitoring any application for anomalies, the challenge can be that each individual parameter being monitored will stray outside of its expected normal range of operation, but unless other parameters are also showing stress this may not be important. But when a series of different parameters all start to show a change in the same [...]

What is IBM MQ?

IBM MQ (often called “MQ”, WebSphere MQ or “IBM MQ”) is IBM’s Message Oriented Middleware offering that enables an asynchronous program-to-program communication via queues. It has been designed to operate largely as a “black-box”, in that it supports unattended operations, and is largely transparent to applications, and runs as multiple background processes. It enables applications [...]

The Basic Ways of Monitoring MQ

There are several facilities and techniques available to identify and resolve problems with MQ Series. EVENT MONITORING MQ Series publishes several event messages in some special SYSTEM Queues to indicate a failure, potential slowdown, change in configuration, security violation etc., These events can be turned on or for the Queue Manager level and for Queues [...]

The Difference Between Monitoring and Tracking Transactions

Every few days I hear stories in the press, on social media and by talking with people about the major outages that happen to large enterprise applications. The implications for companies that suffer a major disruption span from embarrassment to significant lost business to huge costs and all the way through to a loss of [...]

How Apache Kafka Inspired Our Platform Events Architecture

There’s a class of scalability challenges that are best approached using an asynchronous, event-driven architecture — particularly when it comes to doing data integrations. To support these uses cases Salesforce recently added a feature called “Platform Events” which exposes a time-ordered immutable event stream to our customers. Our multitenant setup posed some challenges for traditional messaging systems and luckily Apache Kafka [...]

By |Kafka, logging, Middleware|

IBM Partners: Top Picks of Disruptive Offerings at Think 2018

In a recent Forbes article, leading industry analyst and Forbes contributor Jason Bloomberg lists his top picks from Think 2018 of disruptive capabilities and offerings complementary to IBM’s focus on cloud and data, artificial intelligence (AI),  blockchain and security. Among the vendors listed from Think 2018, he included Nastel's comprehensive monitoring capabilities across hybrid environments. [...]

Service Level Agreements: The Dos and Don’ts of SLA Management

The past few years have seen a huge increase in the amount of critical IT services that companies outsource to SaaS/IaaS/PaaS providers, be it security, storage, monitoring, or operations. Of course, along with any outsourcing to a service provider comes Service Level Agreements (SLA) to ensure that the vendor is held financially responsible for any lapses [...]

Monitoring Kafka: Real-Time Ops Challenge

Monitoring Kafka: Real-Time Ops Challenge Let’s say you’re a long-time expert on message-oriented middleware – say, an MQSeries (now IBM MQ) pro from back in the day – and someone asked you to create an entirely new middleware product following modern, cloud-native architectural principles, able to process trillions of messages per day. What would it [...]

By |Middleware, monitoring|

Stirring Apache Kafka into the Middleware Mix (Part 1)

Stirring Apache Kafka into the Middleware Mix (First of a six-part blog series that describes how a team of IT pros and managers at one of the world’s largest global banks accommodated a bank acquisition and mastered a complex hybrid messaging environment spanning mainframes, distributed systems, and clouds.) About the Author Charley Rich has decades [...]