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. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 209

Cache Azure Infrastructure Monitoring 209

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 221

Lambda AWS Serverless Latency 221

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

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

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

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. ITOps relies on manual correlations and dashboards for analysis. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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 195

Best Practices Code Infrastructure Latency 195

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 184

Lambda AWS Serverless Hardware 184

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 213

Serverless Lambda Azure AWS 213

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

The Netflix TechBlog

OCTOBER 26, 2021

Say at Netflix that we run a test that aims to reduce some measure of latency, such as the delay between a member pressing play and video playback commencing. As a result, if the test treatment results in a small reduction in the latency metric, it’s hard to successfully identify? there is less noise that might drown out the signal.

Testing 202

Testing Latency Metrics Innovation 202

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

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

Dynatrace

MAY 5, 2021

Keptn closes the loop of planning, testing, deployment, and analysis in Agile-like environments with the help of quality gates defined by service- and business-level indicators. For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Meanwhile, in the U.S.,

Benchmarking 188

Benchmarking Latency Speed Software 188

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

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. Ensure error budgets are set up and tracked with alerting and root cause analysis, so development teams can understand and triage issues before they become problems and cause violations. Pitfall 4: SLO thresholds that are too high or too low.

DevOps 202

DevOps Metrics Best Practices Latency 202

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. We showcase our case studies, open-source tools in benchmarking, and how we ensure that AWS cloud services are serving our needs without compromising on tail latencies.

AWS 100

AWS Entertainment Open Source Benchmarking 100

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

DECEMBER 8, 2021

By ITIL definition, the service desk may take the form of incident resolution or service requests, but whatever the case, the primary goal of the service desk to provide quick and efficient service. This helps to improve efficiency and ensures that information is consistent, up-to-date, and available. Problem Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52

Tuning Database Performance Hardware 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 19, 2021

This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations. What’s missing in this picture? These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

SEPTEMBER 8, 2019

Explicit output sampling – for example to create a smaller representative version of an output so that it can be used for human analysis or as an input into desktop-scale tools. Individual samplers need to be built to be high throughput and memory efficient. Implementation. Of the other 14 all but one improve. What next?

Big Data 57

Big Data Analytics Latency Azure 57

The Morning Paper

SEPTEMBER 5, 2019

For response times (latencies) reporting a simple metric such as ‘average’ is next to useless. Instead we want to understand what’s happening at different latency percentiles (e.g A characteristic of latency distributions is that they have a long tail. Why do we need a new sketch? At the 50th percentile, an accuracy within 0.5%

Latency 52

Latency Metrics Open Source Java 52

The Netflix TechBlog

NOVEMBER 22, 2019

This talk explores the journey, learnings, and improvements to performance analysis, efficiency, reliability, and security. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. In 2019, Netflix moved thousands of container hosts to bare metal.

AWS 37

AWS Entertainment Open Source Benchmarking 37

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 279

Traffic Metrics Systems Strategy 279

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 229

Processing Media Latency Innovation 229

Brendan Gregg

OCTOBER 8, 2018

Screenshot: tracing read latency for PID 181: # bpftrace -e 'kprobe:vfs_read /pid == 30153/ { @start[tid] = nsecs; } kretprobe:vfs_read /@start[tid]/ { @ns = hist(nsecs - @start[tid]); delete(@start[tid]); }'. It makes off-CPU analysis effective, which is the counterpart to CPU analysis. Might bpftrace SIGSEGV and coredump?

C++ 110

C++ Virtualization Programming Latency 110

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 103

Efficiency Cloud Healthcare Open Source 103

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?—?what

Latency 296

Latency Transportation Engineering Traffic 296

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45