Operations | Monitoring | ITSM | DevOps | Cloud

In the current cloud-native era, almost every organization has one or more Kubernetes clusters in their production infrastructures. However, only a small percentage of companies, especially enterprise-level ones, can claim that they are fully committed to running everything exclusively on Kubernetes. The most typical scenario is that new stateless services are deployed on Kubernetes, while legacy applications, third-party services, and databases continue to run on dedicated VMs or bare-metal nodes.

One service can’t connect to another (or can’t establish a database connection) – underneath this simple definition, there can be two very different conditions. First – we may have a service process down. In this case, the Kernel stack is operational, so we are getting the packet back, indicating the connection was refused. Second – when network flow is completely disrupted due to connectivity issues, firewall, or a node being completely down.

The most effective method for evaluating an observability tool is to introduce a failure intentionally into a fairly complex system, and then observe how quickly the tool detects the root cause. We’ve built Coroot based on the belief that having high-quality telemetry data enables us to automatically pinpoint the root causes for over 80% of outages with precision. But you don’t have to take our word for it—put it to the test yourself!

We’re excited to announce Coroot v1.0 – our first stable version. It includes some great improvements, such as a new Distributed Tracing interface that takes troubleshooting to the next level. In this post, we’ll compare existing open-source distributed tracing tools, identify unsolved problems in the troubleshooting process, and see how Coroot can address them with its brand-new distributed tracing feature. These days, software is getting more complicated.

AI has been the biggest macro-trend in technology for some time now, and the observability space is no exception to this rule. Just look at the findings of the 2024 Observability Pulse Report; it’s evident that organizations are hungry for AI capabilities that help address pervasive issues of observability process maturity, the talent shortage, ever-increasing MTTR, and the skyrocketing cost of observability.

For the fourth consecutive year, Broadcom has been named the highest-scoring leader and outperformer in the 2024 GigaOm Radar Report for Network Observability. In this latest report, GigaOm defines network observability as “a category of solutions that go beyond device-centric network monitoring to provide truly relevant end-to-end visibility and intelligence for all the traffic in your network, whether on-premises, in the cloud, or anywhere else.”

DX Application Performance Monitoring (DX APM) provides powerful capabilities for monitoring the health and performance of your vCenter infrastructure. In addition to capturing and analyzing important monitoring data, the solution will correlate vCenter performance metrics with metrics of other applications monitored by DX APM.

In the dynamic landscape of modern application development, managing telemetry across diverse environments and technologies can be a daunting task. Adding to that challenge is the multiple groups that are involved in the software development life cycle within an organization.

We’re Nik and Anton, founders of Coroot. We’ve built a tool that boosts the reliability engineering skills of your team. Think of it as your personal assistant who has not only found the root cause of an outage but also suggested a list of possible fixes. Having a background in managing IT ops teams and building a cloud monitoring platform, here are my observations based on my experience: We’ve built Coroot under the belief that more than 80% of issues can be detected automatically.

The manufacturing sector is at a crossroads. Industry 4.0 brought with it a wave of innovation, with the industrial internet of things (IIoT), advanced automated, and AI-driven analytics. Now, we’re experiencing the onset of Industry 5.0, where humans work alongside smart machines to create more sustainable products, services, and supply chains.