DZone

FEBRUARY 2, 2024

This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.

IoT 195

IoT Artificial Intelligence Latency Internet 195

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

DZone

JUNE 22, 2023

It involves a combination of techniques and best practices aimed at reducing latency, improving user experience, and increasing the overall efficiency of the system. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

Scalability 245

Scalability Design Best Practices Performance 245

Dynatrace

FEBRUARY 21, 2024

The agency can also efficiently compare the newest version of Easytravel against previous versions of the software with regression testing facilitated by SRG. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience. The failure threshold is anything above 60ms.

Speed 215

Speed Software Software Latency 215

DZone

AUGUST 16, 2023

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246

Cache Scalability Performance Latency 246

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 209

Analytics Infrastructure Efficiency Technology 209

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 255

AWS Efficiency Azure Latency 255

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Scalegrid

JUNE 22, 2020

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. Read-Intensive Latency Benchmark. Balanced Workload Latency Benchmark.

Database 217

Database Benchmarking Latency Performance 217

DZone

AUGUST 18, 2023

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster.

IoT 130

IoT Media Latency Storage 130

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. So, whenever the latency of the model response degrades, or the model request returns an error, Davis AI automatically detects it.

Monitoring 170

Monitoring Latency Metrics Azure 170

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes.

Lambda 223

Lambda AWS Serverless Latency 223

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. Observing AI models Running AI models at scale can be resource-intensive. However, organizations must consider which use cases will bring them the biggest ROI.

Cache 211

Cache Azure Infrastructure Monitoring 211

Dynatrace

MARCH 29, 2024

.” While Kubernetes’ usability and ubiquity make it the ideal environment for cloud-based production tasks, operational oversight and resource management challenges can frustrate DevOps efforts to drive efficiency. You can ask for the best configuration to reduce latency or improve the user experience.”

Engineering 234

Engineering DevOps Operating System Open Source 234

Dynatrace

NOVEMBER 9, 2023

Dynatrace, in tandem with the Nutanix extension, simplifies performance monitoring and makes issue identification and resolution more efficient. Performance monitoring Dynatrace can collect performance metrics from Nutanix clusters, including latency, IOPS (Input/Output Operations Per Second), and network throughput.

Virtualization 201

Virtualization Storage Metrics Monitoring 201

The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. How do we apply neural networks at scale efficiently? In order to have a viable solution, we took several steps to improve efficiency.

Network 292

Network Media Innovation Efficiency 292

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 258

Engineering DevOps Government Latency 258

The Netflix TechBlog

MARCH 7, 2024

Under the hood, Titus is powered by Kubernetes , but it provides a thick layer of enhancements over off-the-shelf Kubernetes, to make it more observable , secure , scalable , and cost-efficient. In other cases, it is more convenient to share the results via a low-latency API.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

JULY 18, 2023

However, scaling up software development requires more tools along the software product lifecycle, which must be configured promptly and efficiently. Efficient environment configuration at scale One of software engineers’ most significant challenges is managing the numerous tools and technologies required for the software product lifecycle.

Best Practices 198

Best Practices Code Infrastructure Latency 198

Scalegrid

DECEMBER 14, 2023

The implication resulting from exceeding the Server Selection Timeout limit can prove damaging for MongoDB’s efficiency, leading to a selection error which is about time-out exceeding the allowed limits. Careful consideration must be given before making changes.

Java 130

Java Network Servers Database 130

IO River

NOVEMBER 2, 2023

‍A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. When an edge server goes down, end users in the affected region may experience an increase in latency for that specific location.

Architecture 52

Architecture Cache Performance Latency 52

IO River

NOVEMBER 2, 2023

A content delivery network (CDN) is a distributed network of servers strategically located across multiple geographical locations to deliver web content to end users more efficiently. When an edge server goes down, end users in the affected region may experience an increase in latency for that specific location.

Architecture 52

Architecture Cache Performance Latency 52

DZone

JULY 6, 2020

Ideally, a TiDB cluster should always be efficient and problem-free. Through a chain reaction of events, the CPU load maxes out, out of memory errors occur, network latency increases, and disk writes and reads slow down. It should be stable, load-balanced, and have a reliable rate of queries per second (QPS).

Open Source 130

Open Source Latency Traffic Analytics 130

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. This solution offers a streamlined method for managing databases across a variety of platforms, ensuring efficient operation.

Strategy 130

Strategy Cloud Government Innovation 130

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. AWS continues to improve how it handles latency issues. Dynatrace news.

Lambda 185

Lambda AWS Serverless Hardware 185

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

Engineering 183

Engineering DevOps Government Latency 183

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability challenges in serverless applications can be therefore categorized into: Data collection : how to collect metrics, logs and traces from serverless functions efficiently, reliably, and consistently?

Serverless 215

Serverless Lambda Azure AWS 215

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits. This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 104

Performance Monitoring Traffic Database 104

Scalegrid

JANUARY 19, 2024

Using this specific approach also carries potential drawbacks such as decreased performance due to unavailable or lagging secondaries within the replica set network issues or server failures leading to increased latency for any ongoing writing processes.

Database 130

Database Network Servers Monitoring 130

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Adding application security to development and operations workflows increases efficiency. This is the number of failures that affect users’ ability to use an application by the total time in service. Performance.

Artificial Intelligence 211

Artificial Intelligence DevOps Hardware Virtualization 211

All Things Distributed

NOVEMBER 8, 2012

Improving the Cloud - More Efficient Queuing with SQS. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. All Things Distributed. By Werner Vogels on 08 November 2012 03:00 PM. Comments ().

Efficiency 107

Efficiency Cloud Games Scalability 107

Simform

JULY 13, 2022

AWS Lambda provides various benefits such as scalability, cost-efficiency, high availability, and more. But it also introduces cold starts and latency, decelerating your applications’ performance. This blog discusses how Lambda provisioned concurrency reduces cold starts and improves the speed and performance of your applications.

Lambda 52

Lambda Serverless AWS Performance 52