Ensuring a reliable end-user experience with synthetic monitoring
Synthetic monitoring in Cloud Monitoring lets you test the availability, consistency, and performance of your web applications from the perspective of a real user.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Implementing Distributed Tracing in a Golang application
In this article, we will implement distributed tracing for a Golang application with three microservices. To implement distributed tracing, we will be using open-source solutions - SigNoz and OpenTelemetry, so you can easily follow the tutorial.
Monitor gRPC calls with OpenTelemetry - explained with a Golang example
gRPC (Google Remote Procedure Call) is a high-performance, open-source universal RPC framework that Google developed to achieve high-speed communication between microservices. gRPC has Protobuf (protocol buffers) by default which would format or serialize the messages to a specific format that will be highly packed, highly efficient data. By its virtue of being a lightweight RPC, gRPC is suited for many use-cases. gRPC can be considered a successor to RPC, which is light in weight.
Sponsored Post
5 ELK Stack Pros and Cons
Is your organization currently relying on an ELK cluster for log analytics in the cloud? While the ELK stack delivers on its major promises, it isn't the only search and analytics engine - and may not even be your best option for log management. As cloud data volumes grow, ELK monitoring can become too costly and complex to manage. Fast-growing organizations should consider innovative alternatives offering better performance at scale, superior cost economics, reduced complexity and enhanced data access in the cloud.
Debugging React Native Apps End-to-End: AMA with Experts from Meta and Sentry
With React Native, you can create native apps for Android, iOS, and more, in less time with less code. But debugging cross-platform apps can be challenging. In this AMA, hear tips and best practices from React Native experts, including developers from Meta and Expo.
CriblCon 2023 Keynote Session
On July 17th, 2023, more than 400 Cribl users came together at The Mirage in Las Vegas to celebrate each other and the power of learning at CriblCon. The theme of our conference, “Do Different,” resonated throughout the day, emphasizing our commitment to innovation and highlighting the distinctive approach our customers and employees bring to every aspect of their work.
Streamlining SNMP Network Monitoring for Network Visibility
As an IT professional or network administrator, you understand the critical role that comprehensive network visibility plays in maintaining a robust and efficient system. This is where SNMP (Simple Network Management Protocol) comes into the spotlight, offering a powerful solution to monitor, manage, and streamline your network infrastructure.
Splunk Edge Processor: Filtering Kubernetes Data to Remove Events
Check out how to set up Edge Processor to receive data from Kubernetes pods over HEC, and creating a pipeline to filter noisy events.
Flatten the SPL Learning Curve: Introducing Splunk AI Assistant for SPL
At.conf23, we announced the preview release of Splunk AI Assistant - Splunk's first offering powered by generative AI. This app offers an intuitive and easy-to-use chat experience to help you translate a natural language prompt into SPL query that you can execute or build on, all within a familiar Splunk interface. Splunk AI Assistant also explains what a given SPL query is doing in plain English with a summary as well as a detailed breakdown of the query.
From Battlefield to Business: Applying the OODA Loop
In today's dynamic world of software development and system operations, making informed decisions and developing effective strategies rely heavily on data. The OODA loop, developed by military strategist John Boyd, consists of a recurring cycle: Observe, Orient, Decide and Act. This is then followed by a Feedback stage (not represented in the OODA acronym for some reason) before the cycle repeats itself, allowing for continuous optimization.