Operations | Monitoring | ITSM | DevOps | Cloud

Telemetry data collection and analysis are important for businesses. We're diving right in to explain the ins and outs of the OpenTelemetry Collector, including its core components, distribution selection, and customization tips for optimal data collection and integration. Whether you're new to OpenTelemetry or expanding your capabilities, this will help you effectively use the OpenTelemetry Collector in your observability strategy.

Integrations are the bread and butter of building vendor-agnostic software here at Cribl. The more connections we provide, the more choice and control customers have over their unique data strategy. Securing these integrations has challenges, but a new class of integrations is creating new challenges and testing existing playbooks: large language models. In this blog, we are going to explore why these integrations matter, investigate an example integration, and build a strategy to secure it.

Splunk and CloudFabrix are both powerful tools in the realm of IT operations management, but they serve different primary functions, have different use cases and are complementary to each other. Splunk focuses on organizations requiring real-time visibility into IT operations with powerful search and analysis capabilities for large volumes of data, real-time monitoring and alerting for IT operations, log management, security incident response, Observability, and rich visualizations for AIOps.

Observo AI is excited to announce that we have partnered with AWS and our solution is now available on the AWS Marketplace. This will make it easier for AWS customers to quickly adopt the AI-Powered Security and Observability Pipeline to help control costs, manage data sprawl, boost productivity, and identify and resolve critical incidents faster.

In modern IT environments, logging has become an integral part of application development and operations. Logs, metrics, and traces allow organizations to alert on events, monitor performance, and troubleshoot issues effectively. However, as applications scale and generate an increasing volume of logs year over year, managing them efficiently becomes a daunting task for engineering teams and budget makers.