The latest News and Information on Log Management, Log Analytics and related technologies.
When building a microservices system, configuring events to trigger additional logic using an event stream is highly valuable. One common use case is receiving notifications when errors are seen in one of your APIs. Ideally, when errors occur at a specific rate or frequency, you want your system to detect that and send your DevOps team a notification. Since AWS APIs often use stateless functions like Lambdas, you need to include a tracking mechanism to send these notifications manually.
Visibility into your Salesforce environment is crucial for keeping your data secure and ensuring a seamless user eperience. That’s why we are excited to announce that Datadog can now collect Salesforce event logs directly from your Real-Time Event Monitoring stream, giving you deep insights into the security and operational performance of your Salesforce environment.
Elastic Cloud on Kubernetes (ECK) is an easy way to get the Elastic Stack up and running on top of Kubernetes. That’s because ECK automates the deployment, provisioning, management, and setup of Elasticsearch, Kibana, Beats, and more. As logging and metric data — or time series data — has a predictable lifespan, you can use hot, warm, and cold architecture to easily manage your data over time as it ages and becomes less relevant.
On Tuesday June 8th, the Content Delivery Network Fastly experienced an outage that made large swaths of the web unavailable for nearly an hour. To focus on the positive, this outage can serve as a wakeup call for Observability teams, because it shows how much modern sites depend on resources beyond their immediate control, and how hard it is to "observe" these kinds of issues with an incomplete Observability mindset.
Monitoring is crucial if you want to see what happens in your system and JVM-based applications are not different. Well, some metrics, like memory and garbage collection, require special attention because they play a major role in your application performance. In this blog post, we will look into the key Java Virtual Machine (JVM) metrics that you should monitor if you care about performance and stability. Those are the memory, the garbage collection, and the JVM threads.