The Netflix TechBlog

AUGUST 22, 2019

Packer requires specific information for your baking environment and extensive AWS IAM permissions. In order to simplify the use of Packer for our software developers, we bundled Netflix-specific AWS environment information and helper scripts. This means changes can be tracked and reviewed like any other code change.

DevOps 207

DevOps AWS Tuning Infrastructure 207

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 168

Metrics Monitoring Database Network 168

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 107

Database Benchmarking Latency C++ 107

The Netflix TechBlog

FEBRUARY 18, 2022

This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. Event Priority Based Clusters AWS Instance Clusters that subscribe to the corresponding queues with the same priority.

Systems 334

Systems Traffic Architecture Mobile 334

Adrian Cockcroft

AUGUST 1, 2022

photo by Adrian I gave a talk at Monitorama in Portland Oregon in June, which set out the idea that carbon is just another metric to monitor, and that in a few years most of the monitoring and performance tuning tools are going to be reporting and optimizing for carbon alongside latency, throughput, availability and cost.

AWS 52

AWS Virtualization DevOps Latency 52

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our engineering teams tuned their services for performance after factoring in increased resource utilization due to tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. Developers don’t have to put in additional time to fine-tuning the system, or rely on other teams for support, as it’s done automatically with the cloud provider. Focus on Application Development. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122