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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.

Devops Best Practices for Observability

Imagine one night you receive a notification from your team member that a critical production problem has caused chaos in your application. There is a sudden drop in sales as customers are unable to access the application and reporting issues relating to the same. Now, when you reach the office to fix the issue, you demand the team to run through all the files.

Why More Choices Matter With Observability Tools

Observability is a broad topic that provides visibility into the key metrics powering customer-facing applications. These applications range from external facing applications ( e.g., Internet banking/online education/e-commerce/government records ) to internal facing applications ( e.g., Trading systems by brokers, Logistics controllers, Traffic Management, and Hotel Reservations). Observability also incorporates backend systems powering industries that ensure smooth operations of tools and processes.

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.