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Integrating Cisco AppDynamics and Cloud Native Application Observability for unified hybrid cloud monitoring

Cisco AppDynamics has reached a significant milestone in supporting traditional and modern application monitoring use cases with AppDynamics and Cloud Native Application Observability (formerly AppDynamics Cloud). Many enterprises have yet to complete their journey to modern cloud native architectures, but most have started embracing such a move.

ML Observability: what, why, how

Note: This post is co-authored by Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack. AI/ML is moving beyond the experimentation phase. This involves a shift in the way of operating because productising AI involves many sophisticated processes. Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable?

4 Tips to Reduce Your Observability Costs

Observability is essential for maintaining the performance and reliability of modern software systems. However, the cost associated with attaining and extending observability can quickly escalate in ways that may not even seem apparent at first. We hear from many organizations struggling to tamp down the costs of observability at a time when every dollar spent on technology is scrutinized.

Driving Exceptional Support: Unleashing Support Power with Honeycomb

In technical support, ensuring customer satisfaction and quickly resolving issues are of utmost importance. At Honeycomb, we embrace a comprehensive approach by using our own platform—not only for engineering purposes, but to also empower our support team. By utilizing Honeycomb, our support engineers can monitor, troubleshoot, and investigate customer issues with great efficiency.

Observability: How to Boost Gaming Performance in 5 Ways

For a game to provide the best user experience, certain elements come into play. These factors can be hardware components in the user’s computer, like the CPU and GPU, operating system settings, or specific game settings. In fact, if there’s misalignment between these components and a game’s intensity, performance issues can crop up. The most common performance issues in gaming include frame rate drops, input lag, stuttering, rendering issues and network latency.

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Improve MTBF and MTTR for your Application Platforms by using MESH Observability

When businesses look at how best to understand the performance levels of their platforms, some of the best incident management metrics to look at are Mean Time Between Failures (MTBF) and Mean Time ToResolution(MTTR). These two measurements will give an excellent indication of the health and speed of the system, as well as the ability of the platform to take care of any anomalies that have been detected or to flag them up for others to take action to resolve them.

Empowering Observability Engineers: Using Mezmo to Overcome Critical Challenges

The dynamic nature of the IT landscape poses complex challenges for organizations, necessitating the involvement of observability engineers. These skilled professionals have become indispensable in addressing critical pain points and optimizing system performance. In this blog post, we delve into the challenges observability engineers face and showcase how Mezmo's comprehensive telemetry solution empowers them to overcome these hurdles and achieve optimal results. ‍

Q&A: The importance of an end-to-end observability platform

Pressure is mounting for organizations to deliver exceptional customer and employee experiences, rapid event resolution, and better business outcomes. Observability will be a key strategy play to achieve end-to-end visibility of complex tech estates, says Pablo Stern, senior vice president of technology workflows at ServiceNow. In an interview at Knowledge 2023, Stern talked about how an observability platform can encompass both DevOps workflows and business processes across the enterprise.

Streamlining Observability: The Journey Towards Query Language Standardization

One of the most captivating discussions I had at KubeCon Europe 2023 in Amsterdam was about standardization of a query language for observability. This query language standard aims to provide a unified way of querying observability data across logs, metrics, traces, and other relevant signals. The conversation shed light on the pressing need for a standardized approach to overcome the challenges posed by the plethora of query languages currently in use.