Operations | Monitoring | ITSM | DevOps | Cloud

Have you ever found yourself staring at your screen, waiting for a webpage to load, or a file to download, only to be left frustrated by sluggish Internet speeds? It's like being stuck in a traffic jam during rush hour, with no end in sight. But instead of honking your horn and yelling at other drivers, you might be wondering what's causing the holdup. Well, fear not, fellow internet user, because the culprit might just be network congestion.

TeamCity is a CI/CD server that provides out-of-the-box support for unit testing, code quality tracking, and build automation. Additionally, TeamCity integrates with your other tools—such as version control, issue tracking, package repositories, and more—to simplify and expedite your CI/CD workflows.

Network device monitoring is a crucial aspect of IT management and it helps organizations to ensure that their network infrastructure is running smoothly. Many people that use RMM solutions will often use an additional application to monitor their network devices. However, one of the huge benefits of using N-able N-central as your RMM solution is the way it allows you to monitor network devices through Simple Network Management Protocol (SNMP).

Kubernetes can be tough to troubleshoot and remediate fast, especially when you have many interdependent services. This blog, part 3 of 3 in the “8 SRE Best Practices to Help Developers Troubleshoot Kubernetes” series, describes the Kubernetes observability foundation StackState has built to support SRE best practices and enable rapid remediation of issues.

Telemetry pipelines are a modern approach to monitoring and analyzing systems that collect, process, and analyze data from different sources (like metrics, traces, and logs). They are designed to provide a comprehensive view of the system’s behavior and identify issues quickly. Data transformation is a key aspect of telemetry pipelines, as it allows for the modification and shaping of data in order to make it more useful for monitoring and analysis.

LM Logs offer intelligent log analysis with querying capabilities for all experience levels to analyze log data. But it’s most effective to know when to investigate deeper and conduct further analysis instead of trying to identify hidden trends in log data manually. The best way to determine what’s relevant now is to see if the amount of log data and message types produced in a device or service have drastically changed.

Kubernetes has emerged as the de facto standard for container orchestration in modern software development, allowing organizations to manage and scale containerized applications easily. As a highly dynamic and distributed system, however, Kubernetes can be challenging to manage and maintain at scale. One of the most critical aspects of maintaining a stable and secure Kubernetes cluster is monitoring the object configurations and tracking the changes over a period of time.

In industrial operations, time is money. The more efficient processes and machinery are, the better it is for business. Providing proactive monitoring and maintenance of industrial machines, however, is not an easy task. This is especially true as these machines become increasingly complex and distributed. It’s not possible to have maintenance crews on site for every asset in a distributed system. The edge is where the physical world meets the digital world.