Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. ” Data from the build process feeds impactful analytics from Davis AI to detect the precise root cause if software fails to meet specific benchmarks. Meanwhile, in the U.S., How Intuit puts Dynatrace to work.

Benchmarking 246

Benchmarking Latency Speed Software 246

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. With Davis AI exploratory analytics , Dynatrace gives you a helping hand to understand correlations between anomalies across all the telemetry. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 246

Serverless Lambda Azure AWS 246

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 238

Processing Media Latency Innovation 238

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. 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. Amazon ElastiCache (see AWS documentation for Memcached and Redis ). Amazon Elasticsearch Service (ES). Requirements.

AWS 200

AWS Metrics IoT Storage 200

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. Please stay tuned!

Big Data 257

Big Data Government Processing Analytics 257

Dynatrace

DECEMBER 22, 2019

Amazon Kinesis Data Analytics. 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. Amazon ElastiCache (see AWS documentation for Memcached and Redis ). Amazon Elasticsearch Service (ES). Requirements.

AWS 182

AWS Metrics IoT Storage 182

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 238

Infrastructure Transportation Storage Open Source 238

Dynatrace

DECEMBER 2, 2021

You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. Gathering and analyzing metrics over time will help you determine the overall effectiveness of your SLOs so you can tune them as your processes mature and improve. SLO best practices.

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. This allows us to quickly tell whether the network link may be saturated or the processor is running at its limit.

Metrics 243

Metrics Database Monitoring Network 243

Dynatrace

JULY 24, 2023

It enables them to adapt to user feedback swiftly, fine-tune feature releases, and deliver exceptional user experiences, all while maintaining control and minimizing disruption. They can also see how the change can affect critical objectives like SLOs and golden signals, such as traffic, latency, saturation, and error rate.

DevOps 246

DevOps Traffic Efficiency Servers 246

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. x: Live resharding of databases for uninterrupted sharded key changes. In MongoDB 6.x:

Best Practices 111

Best Practices Hardware Tuning Scalability 111

Scalegrid

AUGUST 27, 2024

The software also extends capabilities allowing fine-tuning consumption parameters through QoS (Quality of Service) prefetch limits catered toward balancing load among numerous consumers, thus preventing overwhelming any single consumer entity. Take Softonic’s platform as an example.

IoT 130

IoT Ecommerce Games Scalability 130

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. There are three common issues that the dataset owners usually face.

Processing 219

Processing Big Data Efficiency Engineering 219

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. If tuned for performance, there is a good change reliability is compromised - and vice versa. Building data pipelines can offer strategic advantages to the business.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

APRIL 4, 2018

The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. At least once? At most once?

Architecture 80

Architecture Scalability Google Operating System 80

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

VoltDB

SEPTEMBER 26, 2024

The Importance of Video Ingestion and Video Analytics for Preventive Maintenance Video ingestion and analytics play a crucial role in preventive maintenance by leveraging visual data to anticipate equipment failures and optimize maintenance schedules. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

The Importance of Video Ingestion and Video Analytics for Predictive Maintenance Video ingestion and analytics play a crucial role in predictive maintenance by leveraging visual data to anticipate equipment failures and optimize maintenance schedules. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52

IO River

NOVEMBER 2, 2023

Latency is a concept that increases with distance, so a signal that has to travel 1,000 KM will be much faster compared to a signal sprinting for that 100,000 KM. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Do you just give up the traffic trying to access it while you work on it?

Traffic 52

Traffic Cache Servers Network 52

IO River

NOVEMBER 2, 2023

Latency is a concept that increases with distance, so a signal that has to travel 1,000 KM will be much faster compared to a signal sprinting for that 100,000 KM. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Do you just give up the traffic trying to access it while you work on it?

Traffic 40

Traffic Cache Servers Network 40

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. You'll have logs and analytics scattered across different CDNs. ‍To offset the blind spots inherent in Multi-CDN environments, real-time analytics and reporting become indispensable.

Traffic 52

Traffic Network Logistics Architecture 52

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. You'll have logs and analytics scattered across different CDNs. To offset the blind spots inherent in Multi-CDN environments, real-time analytics and reporting become indispensable.

Traffic 40

Traffic Network Logistics Architecture 40

HammerDB

OCTOBER 12, 2018

Finally it is also important to note that this comparison is focused around OLTP based workloads, HammerDB also supports a TPC-H based workload for analytics with complex ad-hoc queries. maximum transition latency: Cannot determine or is not supported. . System Setup: CPU, Memory and I/O Configuration. GHz. .

Best Practices 40

Best Practices Scalability Performance C++ 40

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. </p>

Java 130

Java Network Servers Database 130

Adrian Cockcroft

NOVEMBER 18, 2024

Learn how the ScepterAir data fusion platform uses advanced AWS Cloud services to analyze and extract insights from ground-based, airborne, and in-orbit data sources with low latency. Tracey Reid, Vice President, Tokio Marine Highland Javier de la Torre, Founder & CSO, CARTO Marco Masciola, Sr.

AWS 98

AWS Energy Lambda Government 98