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Observability

The latest News and Information on Observabilty for complex systems and related technologies.

Lightrun & JFrog - Achieving Complete Agility With Continuous Debugging And Continuous Observability

CI/CD has become the de facto standard for infusing the software development process with hardcoded agility. Organizations are now integrating DevOps concepts and practices into their workflows in order to get great features out of the door faster and reduce internal friction. But your ability to understand what’s going on in a production service is pre-defined by the logs, metrics and traces (i.e. the three pillars of observability) your developers pre-defined during development. There is, however, a need for agility even after the service is live - in order to adhere to strict SLAs, decrease MTTR and save on logging costs.

Infrastructure Observability with Resource Events

You may have seen the Honeycomb white paper on metrics, and want to use the power of Honeycomb with metrics. Sending infrastructure metrics data to Honeycomb has always been possible, but with our focus on debugging the user experience inside the application, it isn’t the first or most obvious thing to do. This post will discuss why we use metrics in general and how to think about metrics in Honeycomb.

HAProxy Log Sampling

Log Sampling is a powerful feature introduced in HAProxy 2.0 that lets you define a percentage of your logs to create a representative view of your data allowing you to minimize your costs. Log files are the key to observability. They can provide helpful information that can be used for debugging as well as analytics that can be used to understand how users interact with an application.

Achieve Better Observability into AWS Services with the AWS CloudWatch Monitoring Template

Amazon CloudWatch — Amazon’s built-in infrastructure monitoring tool — monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. Here’s what you can do with this tool and how to access AWS CloudWatch monitoring dashboards.

The observability market is heating up, but is it more than just hype? Industry watchers weigh in

The observability market is undoubtedly hot. Consider the headline-grabbing evidence: multiple IPOs, hundreds of millions of dollars in venture capital funding for startups, and huge market caps of vendors playing in the space totalling more than $80 billion. Still, it has to be asked: Is all the hype warranted, or is this really just “absurdability”? We asked seven industry watchers to weigh in.

Announcing Honeycomb's extension for the AWS Lambda Runtime Logs API

Today, AWS announced the AWS Lambda Runtime Logs API, a new way to easily send logs from AWS Lambda functions directly to your destination of choice. AWS Lambda Extensions, announced in October, provide the ability to run code in parallel that is independent of your function’s lifecycle. We’ve created an extension that utilizes the Lambda Runtime Logs API to send your logs directly to Honeycomb.

Measure Customer Value with Self-Service Observability

DevOps practices, and the teams that implement them, are becoming increasingly critical to the value which any company provides its customers. This was the key message throughout a recent fireside chat between DevOps Institute Chief Ambassador Helen Beal and Moogsoft VP of Product and Design Adam Frank. A great paradox of the digital era is that, once written, software is invisible to those who write it.

An Introduction to our New Product: Logz.io Distributed Tracing

Yesterday we were excited to announce Logz.io Distributed Tracing, the most recent addition to our Cloud-Native Observability Platform. This is such a special launch for us because it makes Logz.io the only place where engineers can use the best open source monitoring tools for logs, metrics, and traces – known as the ‘three pillars’ to observability – together in one place.

User Experience Monitoring and Synthetics with Elastic Observability

Elastic Observability 7.10 introduces exciting new capabilities that bring deeper visibility into the most important layer of digital monitoring — the experience of the end user. User experience monitoring — accessed via a brand new app in Kibana — provides real-time visibility into website performance, and multistep journey checks in Uptime significantly expand synthetic monitoring capabilities to help operational teams proactively catch issues by monitoring simulated journeys. Plus, several new features like searchable snapshots, out-of-the-box anomaly detection jobs for infrastructure monitoring, and a PHP agent for Elastic APM help the Elastic Observability community optimize costs while deepening visibility across operations.