Operations | Monitoring | ITSM | DevOps | Cloud

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

Application Observability And Its Role In Modern Software Development

Over the last few decades, software systems have grown complex due to the emergence of cloud-native architectures and multi-cloud environments. On the one hand, this makes it difficult to detect issues faster in the deployed application. It also requires intricate coordination between development, DevOps, and SRE teams, as they are also expected to speed up the whole software delivery process.

How to achieve Observability for Microservices-based apps using Distributed Tracing?

Modern digital organizations have rapidly adopted microservices-based architecture for their applications. Microservices-based apps have components designed around business capabilities serving a specific purpose. It enables smaller engineering teams to own specific services that lead to increased productivity. But componentization also leads to complexity. Today’s modern internet-scale businesses have hundreds or thousands of microservices.

Elastic Observability 8.14: New feature for SLO, AI Assistant, and .NET for Universal Profiling

Elastic Observability 8.14 announces the general availability (GA) of key Service Level Objective (SLO) management capabilities, additional enhancements to the Elastic AI Assistant for Observability, alerting improvements, and Universal Profiling for.NET. Enhanced SLO management capabilities: Enhanced AI Assistant capabilities.

Demo: Kentik Network Observability for Hybrid Clouds

In this video, we demonstrate how Kentik provides comprehensive network observability for hybrid cloud environments, encompassing both on-premises and public cloud resources. We start with the Kentik map, showcasing active on-prem sites and cloud environments, then dive into specific examples of how to view and analyze traffic and connectivity. The demo covers how Kentik collects network telemetry from various sources, including AWS VPC flow logs, Azure NSG flow logs, and SNMP, to provide detailed insights into network performance.

Native and eBPF-based Kubernetes Workload Profiling for Kubernetes Clusters

System observability is an essential part of identifying performance issues within your environment because it provides a comprehensive view of how your systems are operating at a glance. Typically, observability is achieved through the collection and analysis of metrics. These metrics, generated by your applications, are deliberately incorporated by developers into the source code to offer insights into the application’s internal processes.

Bringing ArchiMate Flow Diagrams to Life with End-to-End Observability

Aligning IT infrastructure with business processes is paramount in today's digital landscape. This article explores how organizations can elevate their architectural modeling by integrating ArchiMate's flow diagrams, which are initially manually created, with the dynamic, auto-discovered components from StackState's end-to-end observability.

Logz.io Upgrades App 360, Kubernetes 360 with AI Assistant, New Tracing Quickview

At Logz.io, we believe the future of observability will center on the rapid advancement of automation, innovations around artificial intelligence, and streamlining processes that currently remain far too complex. This is no different than many other areas of technology, but the opportunities in observability are vast, and we see all of these areas connecting and driving improvements to the Logz.io Open 360 platform.

Connecting Self-Hosted Observability and Security with SolarWinds

Watch the full session at: slrwnds.com/TC24 The Integration Equation David Russell, Bryce Mata, and Chrystal Taylor Resolving an incident before end users are impacted is the new standard, but managing separate observability and incident management solutions is tempting fate. You are at risk of an issue slipping through the cracks. It's time to consolidate, streamline, and decomplexify your operations. Hybrid Cloud Observability combined with SolarWinds Observability and SolarWinds Service Desk make all of this much, much easier.

Deep dive into observability of Messaging Queues with OpenTelemetry

Working in the observability and monitoring space for the last few years, we have had multiple users complain about the lack of detailed monitoring for messaging queues and Kafka in particular. Especially with the coming of instrumentation standards like OpenTelemetry, we thought there must a better way to solve this. We dived deeper into the problem and were trying to understand what better can be done here to make understanding and remediating issues in messaging systems much easier.