Operations | Monitoring | ITSM | DevOps | Cloud

“When are we going to tell users about this?” By the time your incident response team, it’s already too late. During an outage, communicating about downtime with your user base has three main drawbacks: Instead, it’s better to create a status page that automatically shares the status of all your services in a format that users can easily understand. You’ll build trust with your users as you proactively share service status, lessening the perceived impact of incidents.

At Mezmo, we’ve always believed that observability should empower innovation, not hold it back with complexity and unpredictable costs. However, as organizations scale and data volumes continue to explode, the old ways of managing telemetry data aren’t sustainable.

IT and data teams in Financial Services must meet the more exacting demands for data integrity, compliance, performance, high availability and security that are expected in the sector. These demands require a dedicated, comprehensive, and scalable monitoring solution to help teams succeed in this high stakes environment.

Orchestration platforms such as Kubernetes and OpenShift help customers reduce costs by enabling on-demand, scalable compute resources. Customers can manually scale out and scale in their Kubernetes compute resources as needed. Autoscaling is the process of automatically adjusting compute resources to meet a system's performance requirements. As workloads grow, systems require additional resources to sustain performance and handle increasing demand.

The wait is finally over! We are thrilled to announce that DX NetOps 24.3.9 marks the official general availability (GA) of DX NetOps Topology, a key milestone in our network observability journey. After a successful early access program with many customer deployments, we are excited to bring this highly anticipated solution to the broader community. DX NetOps Topology is designed to provide you with the insights and operational efficiency needed to manage both traditional and software-defined networks.

Yet another supply chain attack has surfaced, this time using the xrpl library to sneak through malicious packages. xrpl.js is recognised as the recommended npm library for integrating the XRP Ledger (XRPL) with JavaScript/TypeScript applications, and has over 140k downloads a week.

Your Java app slows down during peak load. A microservice crashes, but logs aren’t helpful. These aren’t rare events—they’re common signs something’s off inside the JVM. For Java developers and DevOps teams, JVM metrics offer clues to what’s going on. This blog covers the key metrics to track, what they tell you, and how to use them to troubleshoot performance issues in a practical, no-nonsense way.

When systems go down, users don't just lose access, they lose trust if they're left in the dark. That's why having a clear plan for downtime communication matters just as much as restoring service. Whether you're managing a cloud platform, SaaS tool, or any digital service, how you respond during a disruption can shape your reputation long after the issue is resolved. While downtime is inevitable, confusion and frustration don't have to be.

We’re excited to announce the release of Coroot 1.11! This version comes with powerful new features designed to give you more control over your observability data and make your troubleshooting process faster and more intuitive. Let’s dive into what’s new.

Distributed tracing has long been the go-to for understanding the performance of microservices and asynchronous systems. But as systems grow in complexity, simply viewing individual traces and spans isn’t enough. Teams need to answer questions like: SigNoz Tracing Funnels is here to change that, bringing the clarity of product analytics-style funnel analysis to backend traces, and doing so in a way that’s never been available before.