Operations | Monitoring | ITSM | DevOps | Cloud

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

How Cool? Very Cool! Lightrun named a Cool Vendor by Gartner in Monitoring, Observability, and Cloud Operations

We are thrilled to announce that Lightrun — the world’s first dev-native continuous observability and debugging platform — has been recognized by Gartner as a Cool Vendor, based on its April 28 report titled, “Cool Vendors in Monitoring, Observability and Cloud Operations” by Padraig Byrne, Pankaj Prasad, Hassan Ennaciri, Venkat Rayapudi, and Gregg Siegfried. “Lightrun helps reduce mean time to repair (MTTR) by enabling continuous debugging capabilities.

Adding free and open Elastic APM as part of your Elastic Observability deployment

In a recent post we showed you how to get started with the free and open tier of Elastic Observability. Today we'll walk through what you need to do to expand your deployment so you can start gathering metrics from application performance monitoring (APM), or "tracing" data in your observability cluster, for free.

Dynamic Service Graph | Tigera - Long

Downtime is expensive and applications are a challenge to troubleshoot across a dynamic, distributed environment consisting of Kubernetes clusters. While development teams and service owners typically understand the microservices they are deploying, it’s often difficult to get a complete, shared view of dependencies and how all the services are communicating with each other across a cluster. Limited observability makes it extremely difficult to troubleshoot end-to-end connectivity issues which can impact application deployment.

Application Layer Observability | Tigera - Long

The majority of operational problems inherent to deploying microservices in a distributed architecture are linked to two areas: networking and observability. At the application layer (Layer 7), the need to understand all aspects associated with service-to-service communication within the cluster becomes paramount. Service-to-service network traffic at this layer is often using HTTP. DevOps teams struggle with these questions: Where is monitoring needed? How can I understand the impact of issues and effectively troubleshoot? And how can I effectively protect application-layer data?

Splunk Observability Cloud: Cutting through the complexity of modern applications

As infrastructure modernizes, it becomes more complex and more difficult to monitor and operate. To truly understand what your systems are doing, you need full-stack, end-to-end observability. We built Splunk Observability Cloud to eliminate your blind spots and go from alert to problem resolution in seconds–not hours. Splunk Observability Cloud provides one unified experience for seamless monitoring, troubleshooting, and resolution across any stack, at any scale.

Network Observability for Distributed Services

Mike Cohen, Splunk’s head of product management for network monitoring, joins theCube’s John Furrier for a conversation about how networks are an untapped source of data to help your organization achieve observability — and how to unlock that potential. Watch this segment of Leading With Observability on theCube to learn about addressing the gaps in your visibility, including: The ins and outs of monitoring metrics, distributed tracing and correlating logs with no management complexity

End-to-End Observability Drives Great Digital Experiences

Mike Cohen, Splunk’s head of product management for network monitoring, joins theCube’s John Furrier for a conversation about how networks are an untapped source of data to help your organization achieve observability — and how to unlock that potential. Why understanding data flow and service interactions is key to understanding your systems Why distributed systems can cause extra troubleshooting issues — and what you need to know to fix them through network performance monitoring

Under the Hood With Splunk Observability

Splunk Distinguished Architect Arijit Mukherji joins theCube’s John Furrier for a conversation about the value of having a holistic view of observability — and the right solutions — to help you achieve your business goals. Signs that your tool sprawl is becoming a big problem in dealing with the inherent complexities of modern IT environments Why full-fidelity ingest can be an observability superpower How real-time streaming analytics can improve MTTI and MTTR