In the quest for a secure and reliable method to monitor their infrastructure, enterprises and service providers often find themselves exploring various agent-based and agentless solutions. Grasping the nuances between these two approaches is essential to select a monitoring service that aligns with your unique business requirements.

Simple Network Management Protocol (SNMP) provides a standard message format that devices being monitored and monitoring systems can all speak – even though they will be running different operating systems. SNMP is the most widely deployed management protocol; it is simple to understand (although not always to use), and enjoys ubiquitous support.

With the growing popularity of Kubernetes, the need for effective monitoring solutions has become crucial. LogicMonitor, a leading cloud-based monitoring and observability platform, has rolled out a new set of DataSources in its Kubernetes monitoring solution, LM Container, that uses data from the kube-state-metrics service to provide enhanced visibility into the state of Kubernetes objects.

Not everyone on your team lives in LogicMonitor — some might never go into the platform! But that’s okay because LogicMonitor’s Alert Integrations are designed with extensibility in mind. LogicMonitor’s flexible approach to alerts ensures that you receive alerts in the place you work, alerts are routed to the right team member, and you are not overwhelmed by alert storms or alert fatigue.

Employee morale can make the difference between a struggling company and one that’s thriving and growing. High levels of engagement and enthusiasm amongst the workforce happen at organizations run like a well-oiled machine. Each department works hand in hand with the other, with everyone working toward the same goal. Even though all parts of a company are responsible for a strong company spirit, IT issues have a powerful impact.

SD-WAN and SASE both build on traditional network models, such as those used to connect a company’s offices. While the two models share some features and advantages, they have different structures and approaches. In the simplest terms, an SD-WAN inspects and routes data more efficiently, while a SASE combines networking and security functions into a single service. Here’s what you need to know.

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.

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.

When it comes to tackling big data, there are three superior technologies that stand out: Apache Kafka, Apache Spark, and Apache Hadoop. Each of these solutions offers distinct advantages and weaknesses. Understanding their differences is vital in choosing which technology best fits your project’s needs.

Azure Stack HCI is a virtualized workload solution from Microsoft that allows businesses to run Windows and Linux apps and services in a hybrid on-premise/cloud environment. Built on top of Windows Server, Azure Stack HCI is an example of hyper-converged infrastructure (HCI). This technology virtualizes conventionally hardware-defined systems like storage and networking to create flexible, efficient infrastructure solutions.