Dynatrace

MAY 23, 2024

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

Engineering 189

Engineering Tuning Latency Open Source 189

Scalegrid

DECEMBER 14, 2023

For example, your payment history might be on one database cluster and your analytics records on another cluster. If your analytics server is down, then each operation will wait for a default of 30 seconds before failing (which may or may not be what you want). Careful consideration must be given before making changes.

Java 130

Java Network Servers Database 130

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Data visualization : how to present, explore and interpret observability data from serverless functions intuitively, clearly, and holistically? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 216

Serverless Lambda Azure AWS 216

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Navigating common MongoDB upgrade challenges Even with a well-thought-out plan, MongoDB upgrades can present challenges.

Best Practices 87

Best Practices Hardware Tuning Scalability 87

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. Metrics for each service instance are presented in detailed charts—see the example for ECS below. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Amazon Elastic File System (EFS). Amazon EMR.

AWS 137

AWS Metrics IoT Storage 137

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. Metrics for each service instance are presented in detailed charts—see the example for ECS below. The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Stay tuned for updates in Q1 2020. Amazon Elastic File System (EFS). Amazon EMR.

AWS 134

AWS Metrics IoT Storage 134

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 bin/pgbench -c 1 -S -T 60 pgbench starting vacuum.end.

Benchmarking 63

Benchmarking Performance Hardware C++ 63