Operations | Monitoring | ITSM | DevOps | Cloud

We come to the close of yet another year, and as every year we take stock of our triumphs and learnings. The rapid pace at which 2023 has unfolded is almost surreal, like it went by too quickly but at the same time left a huge amount of lessons and accomplishments. As I pause to reflect on this transformative year for InvGate, a sense of immense pride and optimistic anticipation for the future washes over. Indeed, 2023 has been a remarkable year for InvGate.

Microsoft Azure offers a cloud-based messaging service called Azure Service Bus. The goal is to streamline communication between disparate components or applications, regardless of whether they are distributed across multiple environments and locations or operating on the same Azure platform. With Azure Service Bus, you can develop distributed systems that are scalable, reliable, and decoupled.

In telemetry jargon, a pipeline is a directed acyclic graph (DAG) of nodes that carry emitted signals from an application to a backend. In an OpenTelemetry Collector, a pipeline is a set of receivers that collect signals, runs them through processors, and then emits them through configured exporters. This blog post hopes to simplify both types of pipelines by using an OpenTelemetry extension called the Headers Setter.

With the Opslogix ServiceNow Incident Connector for SCOM, you get a bi-directional data sync between SCOM Alerts and ServiceNow Incidents and Tickets Most organizations rely on a number of different tools to keep their operations running smoothly. Getting these tools to integrate seamlessly with each other is an essential factor in streamlining your operations, but sometimes, additional connectors might be needed in order to do so optimally.

Observability first emerged as a focal point of interest in the DevOps community in the 2017 time frame. Aware that business was demanding highly adaptable digital environments, DevOps professionals realised that high adaptability required a new approach to IT architecture. Whereas historically, digital stacks were monolithic or, at best, coarsely grained, the new stacks would have to be highly modular, dynamic, ephemeral at the component level, and spread over multiple cloud-based services.

With the rapid adoption of cloud, distributed systems and microservices are standard, resulting in increasingly complex environments. Once straightforward troubleshooting workflows have become chaotic, frustrating, and time-consuming. When something breaks, multiple teams are called to the table to prove they’re “not it”; each with their singular view of the problem.

What do the gauges on your car, the jumbotron at a stadium, and Splunk Observability Cloud all have in common? They all show you the important information to know how something is performing. We all know what to look for in the first two examples.