Operations | Monitoring | ITSM | DevOps | Cloud

The Java Virtual Machine (JVM) is an important part of the Java programming language, allowing applications to run on any device with the JVM, regardless of the hardware and operating system. It interprets Java bytecode and manages memory, garbage collection, and performance optimization to ensure smooth execution and scalability. Effective JVM monitoring is critical for performance and stability. This is where OpenTelemetry comes into play.

Maintaining comprehensive records of user and entity-related changes within your Incident Management platform is crucial. Organizations have long relied on external analytics tools for these insights. However, the demand for an integrated solution within Squadcast has been growing. We are excited to introduce Squadcast's Audit Logs feature, designed to address this need directly within our platform.

The Batch Processor in the OpenTelemetry project is used in both the SDKs and the OpenTelemetry Collector. What exactly is this processor, and what does it do? And, how can you use the OTLP Logs, OTLP Metrics, and OTLP Traces Functions in Cribl Stream and Cribl Edge to build batches like a boss?

Cribl Search is agnostic, allowing administrators to now query Snowflake datasets as they can dozens of other Lakes, Stores, Systems & Platforms. The data that IT and security teams rely on to monitor network operations continues to grow at a 28% CAGR, and it’s stressing many organizations’ ability to analyze all this data effectively. In fact, in some cases, less than 2% of it ever gets looked at.

Metrics are key to monitoring system health and performance but you probably are ingesting far more metrics than you will ever need or use. The issue is that popular tools in this space, such as OpenTelemetry and Prometheus, leverage node exporters to emit a plethora of metrics. OpenTelemetry tracks even the minutest details of system performance. Prometheus exporters can generate a vast array of metrics, ranging from CPU usage to disk I/O, and everything in between.

The 2024 Global Digital Trust Insights survey from PwC reports that 36% of businesses have experienced a data breach that cost more than $1 million to remediate. Cyber threats are clearly on the rise and in today’s volatile threat environment, it is a matter of when - not if - a cybersecurity incident will occur. Digital adversaries are becoming more sophisticated and relying on weak links to exploit company applications and infrastructure.

Every day, employees and leaders of enterprise IT organizations make multiple decisions that affect their company’s success or failure. To stay ahead of the competition and drive innovation, an increasing number of organizations are turning to decision intelligence (DI), a relatively new field combining data science, decision theory and artificial intelligence, to augment and improve decision-making.

In today’s distributed work environment, understanding the geographic origin of network traffic has become more crucial than ever. As organizations adapt to remote work, IT teams face the challenge of monitoring and analyzing an expanding array of IP addresses from various locations. Graylog’s geolocation feature offers a powerful solution to this challenge, allowing teams to extract and visualize geographic information from IP addresses in their logs.

Imagine running a large company where data-driven decisions give you a competitive edge. You use a lot of business intelligence tools that tap into vast amounts of data, such as sales figures, inventories, and expenses. This analysis tells you how your company is performing. However, it does not reveal how your "company infrastructure" is performing. This crucial information comes from your systems in the form of telemetry data, such as logs and events.