Operations | Monitoring | ITSM | DevOps | Cloud

Enabling auto-instrumentation for your Lambda functions provides detailed insights into the performance and security of your serverless applications. Developers often also use custom instrumentation to fine-tune visibility and further tailor telemetry to their business needs. However, different teams within your organization might use a variety of instrumentation libraries, and achieving more granular visibility can come at the expense of data portability and interoperability.

Containers are powerful tools for scaling and deploying your applications, but with so many components pulled from different sources, there’s a greater potential for issues within them to go undetected. As a result, you need to monitor every layer of your containerized environments for vulnerabilities and performance problems—from your application to your container images.

CI/CD services such as AWS CodePipeline enable developers to automate and accelerate the process of building, testing, and deploying code. But with the speed, scale, and complexity of the modern software development life cycle, even small performance regressions or increases in failure rates in your CI system can quickly snowball, slowing or even halting releases and causing cost overruns.

Every day, we generate tons of data, so much so that we cannot analyze them manually anymore. Visualization is a process by which the generated data will be broken down into smaller packages. Visualization extensively relies on observability and the triumvirate of Logs, Metrics and Traces. When it comes to visualizations and dashboards, Kibana and Grafana are two prominent names in the market. What makes them stand apart from their peers is their ability to conceive top-notch analytics charts.

In typical re:Invent fashion, AWS has made a series of big announcements before the main event even kicks off! Here are some groundbreaking serverless updates that you should know about.