Remove Analytics Remove Metrics Remove Scalability Remove Traffic
article thumbnail

Stream logs to Dynatrace with Amazon Data Firehose to boost your cloud-native journey

Dynatrace

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 245
article thumbnail

What is log management? How to tame distributed cloud system complexities

Dynatrace

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. Comparing log monitoring, log analytics, and log management.

Systems 180
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

article thumbnail

Data Reprocessing Pipeline in Asset Management Platform @Netflix

The Netflix TechBlog

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Existing data got updated to be backward compatible without impacting the existing running production traffic. Error Handling Errors are part of software development.

Media 237
article thumbnail

AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. EC2 is ideally suited for large workloads with constant traffic. And why it matters. AWS Lambda. Automate monitoring tasks.

article thumbnail

Sponsored Post: Etleap, PerfOps, InMemory.Net, Triplebyte, Stream, Scalyr

High Scalability

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. We found that High Scalability readers are about 80% more likely to be in the top bracket of engineering skill. Need excellent people? Advertise your job here!

Java 116
article thumbnail

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. The next challenge was to stream large amounts of traces via a scalable data processing platform. Mantis is our go-to platform for processing operational data at Netflix.