Operations | Monitoring | ITSM | DevOps | Cloud

Faulty deployments and other types of erroneous changes may account for around 70% of all application outages. With the prevalence of CI/CD workflows, engineering teams make changes to their applications, services, and infrastructure all the time, which can make it difficult to trace issues to specific changes.

Let’s face it. Incidents will always happen. We simply can’t prevent them. But we can strive to mitigate the impact incidents have on our product and customers. Ensuring high reliability depends on quickly and effectively finding and fixing problems. This is where the metric MTTR, standing for “mean time to restore” or “mean time to resolve,” becomes valuable for organizations.

For operational telemetry data pipelines, Vector emerges as a pivotal tool, acclaimed for its robust performance and adaptability.

In the fast-paced landscape of modern workplaces, efficient communication and collaboration are paramount for success. Microsoft Teams has emerged as a cornerstone tool for many organizations. However, persistent and often unseen performance issues such as poor audio or video quality can stifle productivity and have a negative impact on the customer experience. Optimizing Microsoft Teams will allow you to use the platform to its peak performance for maximum productivity.

Many companies are using cloud technologies to become more agile, scalable, and cost-effective during their digital transformation. However, this change brings new challenges in maintaining the security and performance of applications and infrastructure in the cloud. Security and observability go hand-in-hand.

Cloud resilience When it comes to cloud computing, resilience is an infrastructure's ability to bounce back from setbacks seamlessly, ensuring uninterrupted operations in the face of outages, malfunctions, software bugs, and even natural disasters. We'll explore measures you can take to enhance resilience in your cloud, plus discuss the advantages and limitations of building a resilient cloud system.

This article was originally published on IIoT World and is reprinted here with permission. In the rapidly evolving world of Industrial Internet of Things (IIoT), organizations face numerous challenges when it comes to managing and analyzing the vast amounts of data generated by their industrial processes. Data generated by instrumented industrial equipment is consistent, predictable, and inherently time-stamped.

In the dynamic environment of core banking systems, maintaining seamless operations is crucial. However, unforeseen complications can arise, leading to critical incidents that demand immediate and effective resolution. A recent incident involving an application patch malfunction presents a compelling study on the intricacies of managing and resolving system anomalies in real-time.

Network Monitoring is a process that supplies the information and data that network administrators need to determine, in real-time, the status of their network and if it's running optimally. This enables these administrators to work proactively to highlight deficiencies, enhance efficiency, and more. By utilizing network monitoring you can attain complete visibility into their network.

Elastic APM for native apps provides auto-instrumentation of outgoing HTTP requests and view-loads, captures custom events, errors, and crashes, and includes pre-built dashboards for data analysis and troubleshooting purposes Elastic® APM for iOS and Android native apps is generally available in the stack release v8.12. The Elastic iOS and Android APM agents are open-source and have been developed on-top, i.e., as a distribution of the OpenTelemetry Swift and Android SDK/API, respectively.