Operations | Monitoring | ITSM | DevOps | Cloud

ObservIQ

Managing a custom distribution OTel collector with BindPlane

Exciting news: it’s now possible to build a custom distribution of the OpenTelemetry Collector and remotely manage it with BindPlane. Though not all of BindPlane’s capabilities are available when managing a custom distribution (yet), it’s #prettycool, as it cracks open the door for teams looking to BYOF (bring your fleet), and manage them with our OTel-native telemetry pipeline.

Common Issues in OpenTelemetry Collector Contrib Configuration

Observability has become essential for efficient system management, and OpenTelemetry is leading the way in this field. The OpenTelemetry Collector Contrib is an important tool for gathering telemetry data, providing developers and IT professionals with a flexible and powerful way to manage observability. We want to help you learn how to set up the OpenTelemetry Collector Contrib. We'll point out common issues and offer effective troubleshooting strategies.

Strategies For Reducing Observability Costs With OpenTelemetry

Keeping smooth and safe operations now relies entirely on observability. But as there's more and more data to keep track of, the costs are going up. This makes it hard for your companies to balance how well things are running and their budgets. OpenTelemetry can help by making a standard way to collect and process all the data. We're going to share how OpenTelemetry can save you money on observability and why having too much data can be costly.

How Data Observability is Transforming Modern Enterprise

Modern enterprises are more dependent than ever on data. That's why it's more important than ever for organizations to ensure that their data is accurate, reliable, and easily accessible. Data observability is a modern method that helps achieve this. It involves real-time monitoring of data to detect unusual patterns. By doing so, it ensures data quality and reliability, which boosts operational efficiency and governance.

Strategies for Lowering Observability Costs

Learn how to cut IT observability costs with OpenTelemetry. We'll cover ways to streamline data collection, reduce hidden expenses, and optimize data management. Discover practical tips for handling telemetry data efficiently, avoiding vendor lock-in, and improving system performance. Watch this video for actionable insights and real-world examples of using OpenTelemetry to manage costs effectively.

Navigating Open Source Software: All Your Questions Answered

Open source software refers to computer programs with source code available for anyone to inspect, modify, and distribute. Unlike proprietary software, open source software is developed collaboratively by a community of developers. One of the main benefits of open source software is cost savings. Because the source code is freely available, organizations can use and customize the software without paying licensing fees, reducing costs, especially for large-scale deployments.

observIQ Expands Advanced Support for Sumo Logic in Security and Observability Data

We’re excited to announce that as part of our expanded alliance with Sumo Logic, observIQ extended its support for Sumo’s platform. This allows customers to send logs and metrics to Sumo Logic, leveraging our telemetry pipeline, BindPlane. We’ve also made it possible to automatically recommend processors in our pipeline that format data specifically as Sumo Logic expects—once Sumo Logic is a destination for BindPlane.

How to Start Contributing to Open Source with OpenTelemetry

Today, open source software is everywhere – from Linux-based servers, to Android smartphones, to the Firefox Web browser, to name just a handful of open source platforms in widespread use today. But the open source code driving these innovations doesn't write itself. It's developed by open source contributors – and you could be one of them.

Managing Observability Pipeline Chaos

The cloud environment has generated an unprecedented volume of data, making it increasingly difficult for enterprises to manage. With multiple SaaS and cloud-based applications in play, differentiating which data needs processing for analysis versus storage for regulatory compliance is a significant challenge. The growing number of data sources only complicates this further. So, getting clarity and control over this chaos is the goal, without having to overhaul your entire system.