Enhancing SRE troubleshooting with the AI Assistant for Observability and your organization's runbooks
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The latest News and Information on Observabilty for complex systems and related technologies.
How to Create Log-Based Metrics to Improve Application Observability
As a Site Reliability Engineer (SRE) or DevOps professional, you are well aware of the importance of observability in ensuring the smooth functioning and performance of your applications. Observing and monitoring your applications can help you identify and resolve issues in real-time, resulting in increased reliability and improved user experience. Logs play a crucial role in this process as they provide detailed information about the activity and behavior of your applications.
Selecting Observability and Security Solutions in Compliance with RBI: Fintech Challenges
Fintech, an abbreviation for financial technology, encompasses many firms and technologies that employ innovation and tech to enhance and automate financial services and operations. Their goal is to enhance the efficiency, accessibility, and user-friendliness of financial services. Fintech entities span numerous sectors within the financial industry, such as online payments, lending, digital banking, investing, insurance, and more, all aimed at streamlining financial processes.
What Do Developers Need to Know About Kubernetes, Anyway?
Stop me if you’ve heard this one before: you just pushed and deployed your latest change to production, and it’s rolling out to your Kubernetes cluster. You sip your coffee as you wrap up some documentation when a ping in the ops channel catches your eye—a sales engineer is complaining that the demo environment is slow. Probably nothing to worry about, not like your changes had anything to do with that… but, minutes later, more alerts start to fire off.
Resolve issues faster with Grafana Cloud Application Observability
Grafana Cloud Application Observability provides an out-of-the box experience to monitor application performance and minimize MTTR. With its native support of the open standards OpenTelemetry and Prometheus, Application Observability unifies signals across the full stack, accelerating root cause analysis while removing proprietary formats and vendor lock-in. Watch this demo of how to use Application Observability in Grafana Cloud.
Zero-code application observability with Grafana Beyla and eBPF: demo
The eBPF-based OSS auto-instrumentation tool Grafana Beyla makes it easier to get started with application observability. Beyla provides RED (Rate, Errors, Duration) metrics through OpenTelemetry or Prometheus for your existing web services, whichever language they are written in. You don’t need to change any line of application code or configuration; you only need to deploy the Beyla in the same host as the service that you want to monitor. Collecting monitoring data with the eBPF autoinstrument tool has very low overhead, and allows you to capture data about your runtime, which is impossible with manual code instrumentation. Watch this in-depth demo of how to use Grafana Beyla to get started with application observability.
Control Prometheus cardinality and metrics cost with Adaptive Metrics
Adaptive Metrics is a cost management feature in Grafana Cloud that helps enterprises control Prometheus cardinality and reduce their observability spend by identifying and eliminating unused metrics. Grafana Cloud customers using Adaptive Metrics see 20-50% reduction in their observability bill.
How Mercado Libre scales its AWS microservices without losing visibility
Learn how Mercado Libre acts more quickly, strategically, and proactively thanks to Datadog’s centralized platform and context-rich alerting.Mercado Libre hosts the largest online commerce and payments ecosystem in Latin America, which means thousands of dollars can be lost if some of their critical applications stop working for even 1 minute. Senior Technical Manager Juliano Martins and software expert Marcelo Quadros share a few reasons why they chose Datadog as their observability platform of choice for their AWS environment: the power of our infrastructure monitoring solution, extensive range of integrations, strong reputation in the market, and more.
Simplify OpenTelemetry Pipelines with Headers Setter
In telemetry jargon, a pipeline is a directed acyclic graph (DAG) of nodes that carry emitted signals from an application to a backend. In an OpenTelemetry Collector, a pipeline is a set of receivers that collect signals, runs them through processors, and then emits them through configured exporters. This blog post hopes to simplify both types of pipelines by using an OpenTelemetry extension called the Headers Setter.
Observability Shifts Right
Observability first emerged as a focal point of interest in the DevOps community in the 2017 time frame. Aware that business was demanding highly adaptable digital environments, DevOps professionals realised that high adaptability required a new approach to IT architecture. Whereas historically, digital stacks were monolithic or, at best, coarsely grained, the new stacks would have to be highly modular, dynamic, ephemeral at the component level, and spread over multiple cloud-based services.