Operations | Monitoring | ITSM | DevOps | Cloud

Monitor Temporal Workflows seamlessly: Introducing the Temporal Cloud integration for Grafana Cloud

Nishad Krishnan is a Software Engineer at Temporal Technologies, where he’s focused on observability and making the “unknown unknowns” slightly less unknown. At Temporal Technologies, our goal is to make it easier for developers to build and operate reliable, scalable applications without sacrificing productivity. Our platform, Temporal, helps ensure that code runs to completion once started, no matter how long it takes or what failures occur along the way.

Pastries with SREs: Enriched logs and filled donuts

In this episode of Pastries and SREs, we take a sweet dive into one of the most exciting evolutions in observability: enriched logs, also known as wide events. Gone are the days of toggling between tools and stitching together logs, metrics, and traces. Enriched logs consolidate the context, providing everything you need to understand and resolve issues in a single log entry. We explore.

Free cloud credits: Why your architecture gets lazy and bloated

This is the uncomfortable truth about cloud credits: Short-term savings mask crippling long-term costs. Taken from our recent webinar, Civo CCO Simon Hansford and Canopy Founder James Marks expose the primary concerns of the credit model. Credits act as a dangerous incentive for architectural laziness. When cost isn't a factor, you stop designing for efficiency, leading to bloated, inefficient infrastructure and the inevitable bill shock.

How to Monitor Java Applications on Windows with SolarWinds Observability | APM Setup Guide

This video provides a step-by-step walkthrough for configuring monitoring for Java applications running on Windows using SolarWinds Observability. The demonstration covers the complete process—from adding a new service to instrumenting the application with the Java APM library and verifying connectivity. Topics covered in this video include: This guide is designed for developers, DevOps engineers, and system administrators who need to instrument Java applications on Windows for performance monitoring, distributed tracing, and full-stack observability.

Understanding Kafka with Speedscale #speedscale #kafka #visualization #engineering #production

In this video, we're breaking down the complex world of Apache Kafka and showing you how to gain deep visibility into your event streaming architecture using Speedscale. Kafka is the backbone of modern, cloud-native systems, but understanding what's happening in production—which topics are receiving traffic, where messages are going, and how services are interacting can be a real challenge. We'll cover how Speedscale makes Kafka visualization and debugging simple by.