Managing telemetry data efficiently is a constant balancing act—how do you maximize visibility while controlling costs? In this webinar, we’ll show you how Mezmo’s telemetry pipeline helps you make smarter decisions about your data.

Are you looking to enhance your observability and gain deeper insights into your systems? Curious about how a Telemetry Pipeline can revolutionize your monitoring and troubleshooting capabilities while keeping the cost low? Join Mezmo’s Bill Balnave (Vice President of Technical Services) for an insightful webinar unraveling Telemetry Pipeline’s key concepts, highlighting its significance in modern software development and operations. Discover how a Telemetry Pipeline enables you to collect, profile, transform, and analyze crucial telemetry data from your applications and infrastructure.

Watch our discussion on the 2024 DORA Accelerate State of DevOps report, where we dive into insights impacting software delivery, organizational strategy, and AI adoption in DevOps. We’ll review key findings and highlight practical steps for leaders to optimize development and delivery performance. Whether your organization is embracing AI, building internal platforms, or addressing burnout and resilience, this webinar will provide actionable takeaways for adapting to today’s evolving DevOps landscape.

In today's digital-first, cloud-native world, effective log management is crucial. It enhances software quality, operational efficiency, and the customer experience. However, with the rise of distributed and microservices-based architectures, organizations now generate petabytes of log data daily, making analysis and storage increasingly challenging.

The exponential growth of telemetry data presents a significant challenge for organizations, who often overspend on data management without fully capitalizing on its potential value. To unlock the true potential of their telemetry data, organizations must treat it as a valuable enterprise asset, applying rigorous data engineering principles to glean the critical insights and accelerated investigations this data is meant to enable. The telemetry data platform approach democratizes access across disciplines and personas and fosters widespread utilization across the organization.

Ensuring access to the right telemetry data - like logs, metrics, events, and traces from all applications and infrastructure are challenging in our distributed world. Teams struggle with various data management issues, such as security concerns, data egress costs, and compliance regulations to keep specific data within the enterprise. Mezmo Edge is a distributed telemetry pipeline that processes data securely in your environment based on your observability needs.

Telemetry (Observability) pipelines play a critical role in controlling telemetry data (logs, metrics, events, and traces). However, the benefits of pipeline go well beyond log volume and cost reductions. In addition to using pipelines as pre-processors of data going to observability and SIEM systems, they can be used to support your compliance initiatives. This session will cover how enterprises can understand and optimize their data for log reduction while reducing compliance risk.

Telemetry or observability data is overwhelming, but mastering the ever-growing deluge of logs, events, metrics, and traces can be transformative.

Operational telemetry data, events, logs, and metrics produced by applications and infrastructure have enormous potential to help organizations maintain and improve operational efficiency and customer service. However, unlocking the value of telemetry data has become a challenge for enterprises.

The explosion of telemetry data also massively increases your data bill. Teams also cannot control the data they do not understand and often lack the capabilities to act on it once it is understood. Mezmo makes it easier to understand and optimize your data. It helps reduce unnecessary noise and cost, and improve the quality of your data, so that your developers and engineers can consistently deliver on their service level objectives.