Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

What is Service Desk and how does it help IT departments?

Skilled IT leaders understand that consistent and sustainable growth comes with a number of significant challenges. Developing IT growth requires a cohesive strategy that aligns perfectly with the engine of that operation: And that is Service Desk, the undisputed main character of this journey.

Start with Traces, not with Logs: How Honeycomb Helped Massdriver Reduce Alert Fatigue

Massdriver is a cloud operations platform that makes it easier for engineering teams to build, deploy, and scale cloud-native applications. While many companies use this lofty language to make similar promises, Dave Williams, CTO and co-founder at Massdriver, means it. Before Massdriver, Dave worked in product engineering where he was constantly bogged down with DevOps toil. He spent his time doing everything except what he was hired to do: write software.

Challenge Met: Adopting Intelligent Observability Pipelines

Over the last year or so, the unavoidable topic of overwhelming cost has emerged as the number one issue among today’s observability practitioners. Whether it is in conversations among end users, feedback from customers and prospects, industry chatter or the coverage of experts including Gartner, the issue of massive telemetry data volumes driving unsustainable observability budgets prevails.

Grafana 10.2 release: Grafana panel title generator, interactive visualizations, and more

Grafana 10.2 is here! Download Grafana 10.2 As always, the latest version of Grafana includes a ton of dashboard and data visualization improvements. You can add interactive buttons to your Canvas visualizations; auto-generate dashboard panel titles, and descriptions using AI; and zoom in on specific y-axis values in your time series.

Monitoring vs Observability: What Engineers Need to Know

As systems increasingly shift towards distributed architectures to deliver application services, the roles of monitoring and observability have never been more crucial. Monitoring delivers the situational awareness you need to detect issues, while observability goes a step further, offering the analytical depth to understand the root cause of those issues. Understanding the nuanced differences between monitoring and observability is crucial for anyone responsible for system health and performance.

API Monitoring: A Complete Introduction

At the most basic level, application programming interface (API) monitoring checks to see if API-connected resources are available, working properly and responding to calls. API monitoring has become even more important (and complicated) as more elements are added to the network and the environment evolves, including multiple types of devices, microservices as a key part of application delivery, and, of course, the widespread move to the cloud.

How to deploy a Hello World web app with Elastic Observability on Azure Container Apps

Elastic Observability is the optimal tool to provide visibility into your running web apps. Microsoft Azure Container Apps is a fully managed environment that enables you to run containerized applications on a serverless platform so that your applications scale up and down. This allows you to accomplish the dual objective of serving every customer’s need for availability while meeting your needs to do so as efficiently as possible.

A Proactive Approach to Network Performance Management

In our digitally-driven world, networks serve as the backbone of every organization's operations. Whether you're a business, a healthcare facility, an educational institution, or a government agency, the efficiency and reliability of your network infrastructure can make or break your daily operations.

Sept 13, 2023: SF Python Meetup - API Documentation: How Sentry Designed Custom Tooling

On September 13, 2023, Sentry hosted SF Python for a developer meetup in San Francisco. In this talk, Josh Ferge, Senior Software Engineer at Sentry, shared his experiences and insights on Sentry's journey of API documentation for their Django application. He talked about the various things they’ve tried, including: Schema / Example generation using dynamic tests; Writing OpenAPI JSON manually; Django Rest Framework & autodoc tooling around it; Problems with DRF serializers & performance, leading to Sentry custom implementation of schema generation using Python typing.