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First of all, let's start with the basics. There are some important concepts to be clarified before we dive into the OpenTelemetry world. The vast majority of the naming conventions and concepts are from projects and papers that inspired OpenTelemetry, such as OpenTracing, OpenCensus and Dapper. - Source: dev.to / about 1 month ago
OpenTelemetry it's a result from the merge of two important projects that are now archived: OpenTracing and OpenCensus. The project is incubated in Cloud Native Computing Foundation (CNCF) and has a strong community behind it. The CNCF is part of the Linux Foundation and hosts critical components of the global technology infrastructure, including Kubernetes and Prometheus. Currently, OpenTelemetry is the second... - Source: dev.to / 2 months ago
However, ensuring fault tolerance in distributed systems is not at all easy. These systems are complex, with multiple nodes or components working together. A failure in one node can cascade across the system if not addressed timely. Moreover, the inherently distributed nature of these systems can make it challenging to pinpoint the exact location and cause of fault - that is why modern systems rely heavily on... - Source: dev.to / 7 months ago
OpenTelemetry was born from the merger of two other standards that decided to unify forces instead of competing with each other; these projects were OpenTracing and OpenCensus. - Source: dev.to / over 1 year ago
If you have ever heard of OpenTracing or are used to using it, know that now OpenTracing is deprecated, so it is better to use OpenTelemetry 🙂. If you want to migrate from OpenTracing to OpenTelemetry, an official guide exists. - Source: dev.to / about 2 years ago
Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / 24 days ago
Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / about 1 month ago
These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 2 months ago
11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 2 months ago
Recently, we have been experiencing some Latency issues. The reason being the increase in our userbase as more companies are adopting our platform to do their procurement efficiently. Our core product is a monolith rails application served on AWS servers. We use AWS ELB's Application load balancer to swiftly balance the load on multiple servers and increase them when needed. So, these sudden latency issues caused... - Source: dev.to / 2 months ago
Prometheus - An open-source systems monitoring and alerting toolkit.
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
OpenCensus - Application and Data, Monitoring, and Monitoring Tools
Zabbix - Track, record, alert and visualize performance and availability of IT resources
Open Telemetry - An observability framework for cloud-native software.
Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!