Scalegrid

FEBRUARY 24, 2025

While clustering across wide-area networks (WANs) is discouraged due to latency issues, leased links can mitigate some connectivity challenges. With 24/7 expert support, ScaleGrid assists with troubleshooting, performance tuning, and migration processes. Keeping queues short maintains a responsive and efficient RabbitMQ setup.

Best Practices 147

Best Practices Traffic Strategy Efficiency 147

Dynatrace

JULY 22, 2024

Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics. Metrics are typically aggregated and stored in time series databases for monitoring and alerting purposes.

Latency 264

Latency Best Practices Metrics Open Source 264

Dynatrace

DECEMBER 22, 2019

To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace ingests AWS CloudWatch metrics for multiple preselected services. Select Add service to pick the service that has the metric you want to add.

AWS 182

AWS Metrics IoT Storage 182

Scalegrid

JANUARY 25, 2024

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

SEPTEMBER 10, 2024

Dynomite is a Netflix open source wrapper around Redis that provides a few additional features like auto-sharding and cross-region replication, and it provided Pushy with low latency and easy record expiry, both of which are critical for Pushy’s workload. As Pushy’s portfolio grew, we experienced some pain points with Dynomite.

Latency 231

Latency Cache Tuning Efficiency 231

The Netflix TechBlog

AUGUST 13, 2020

A metric crossed a threshold. You’re half awake and wondering, “Is there really a problem or is this just an alert that needs tuning? Telltale learns what constitutes typical health for an application, no alert tuning required. Metrics are a key part of understanding application health. Client metrics and QoE changes.

Monitoring 216

Monitoring Tuning Traffic Metrics 216

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. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 283

Traffic Metrics Systems Strategy 283

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 237

Latency Storage Traffic Tuning 237

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Understanding cold-start behavior is essential to tune your cloud applications cost or performance to meet your operational needs.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

MAY 17, 2023

In this case, the four golden signals (latency, traffic, errors, and saturation) are derived from span attributes and DQL metric queries via Dynatrace Grail™. Based on those insights, they implemented automated validation tasks, and shifted left in their software delivery pipeline.

DevOps 246

DevOps Traffic Latency Best Practices 246

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. Furthermore, in addition to real-time alerting, we added trend analysis for important metrics to help catch longer term degradations.

Systems 334

Systems Traffic Architecture Mobile 334

Dynatrace

MARCH 29, 2024

. “We use AI to optimize the configuration of the software stack,” Doni said, highlighting how Akamas works by taking into account infrastructure and application metrics at the same time to achieve its optimization goals. You can ask for the best configuration to reduce latency or improve the user experience.”

Engineering 264

Engineering DevOps Operating System Cloud 264

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. Expanding on the traditional observability pillars of metrics, logs, and traces, DEM collects user experience data to complete the end-to-end picture.

Monitoring 246

Monitoring Social Media IoT Metrics 246

Dynatrace

JANUARY 26, 2021

When an application is triggered, it can cause latency as the application starts. This creates latency when they need to restart. Your team should incorporate performance metrics, errors, and access logs into your monitoring platform. The platform builds the trigger to initiate the app. Monitoring serverless applications.

Serverless 246

Serverless Efficiency Lambda AWS 246

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 243

Metrics Database Monitoring Network 243

The Netflix TechBlog

AUGUST 22, 2019

In the canary stage, Kayenta is used to compare metrics between a baseline (current AMI) and the canary (new AMI). The canary stage will determine a score based on metrics such as CPU, threads, latency, and GC pauses. If this score is within a healthy threshold the AMI is deployed to each environment.

DevOps 209

DevOps AWS Tuning Infrastructure 209

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? For example, if your SLO is to deliver 99.5%

Metrics 246

Metrics Best Practices DevOps Infrastructure 246

The Netflix TechBlog

NOVEMBER 2, 2020

Those two metrics are approximate indicators of failures and latency. When the threshold percentage for one of these two metrics is crossed, we reduce load on the service by throttling traffic. The key metrics used to trigger global throttling are CPU utilization, concurrent requests, and connection count.

Traffic 258

Traffic Metrics Infrastructure Architecture 258

Dynatrace

MAY 5, 2021

For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Fine-tuning the service-level indicators that make up quality gates will improve with the help of upcoming features. Organizations can feel the impact of even a minor roadblock in the user experience.

Benchmarking 246

Benchmarking Latency Speed Software 246

The Netflix TechBlog

AUGUST 30, 2021

Thus, the implemented solution must integrate with Netflix Spring facilities for authentication and metrics support at the very minimum?—?the By the following morning, alerts were received regarding high memory consumption and GC latencies, to the point where the service was unresponsive to HTTP requests. million elements.

Latency 220

Latency Traffic Transportation Cloud 220

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Assembly for two of the metrics (e.g.

Media 176

Media Innovation Metrics Latency 176

O'Reilly

FEBRUARY 18, 2025

Here are some key takeaways to keep in mind: Be skeptical of advice or metrics that sound too good to be true. For example, the metrics that come built-in to many tools rarely correlate with what you actually care about. Of course, theres more to making improvements than just relying on tools and metrics.

Latency 66

Latency Tuning Metrics Testing 66

O'Reilly

MARCH 25, 2025

Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations? Iteration: Iterate quickly using prompt engineering, embeddings, tool use, fine-tuning, business logic, and more! How do we do so? We tested both retrieval quality (e.g.,

Systems 69

Systems Development Tuning Monitoring 69

Scalegrid

NOVEMBER 4, 2024

We use Sysbench to benchmark key performance metrics under different workloads and thread configurations, including Transactions Per Second (TPS) and Queries Per Second (QPS). Key metrics include TPS and QPS. However, to ensure a level playing field regarding connection handling, we tuned ScaleGrid’s instances to allow 830 connections.

Benchmarking 130

Benchmarking AWS Tuning Metrics 130

Dynatrace

JULY 24, 2023

Observability data provides a treasure trove of performance, stability, and user experience metrics encompassing error rates, response times, and user engagement. With swift precision, an answer-driven automation solution that uses causal AI can transform these metrics into invaluable insights.

DevOps 246

DevOps Traffic Efficiency Servers 246

SQL Performance

SEPTEMBER 17, 2019

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. Tuning Options. Tuning SSRS is much like any other application. Disk latency for ReportServer and ReportServerTempDB are very important. General Tuning.

Tuning 67

Tuning Servers Database Best Practices 67

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 237

Infrastructure Transportation Storage Open Source 237

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? To be fair, that is also true with PostgreSQL; it hasn’t been tuned either, and it, too, can also perform much better.

Tuning 145

Tuning Cache Servers Benchmarking 145

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. Data Quality Data Mesh provides metrics and dashboards at both the processor and pipeline level for operational observability. Please stay tuned!

Big Data 256

Big Data Government Processing Analytics 256

Percona

NOVEMBER 3, 2023

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. psql pgbench <<_eof1_ qecho adding node citus3. select citus_add_node('citus3', 5432); qecho rebalancing shards across TWO nodes. psql pgbench <<_eof1_ qecho adding node citus3.

Database 114

Database Benchmarking Latency C++ 114

John McCalpin

APRIL 25, 2023

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Stay tuned!

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

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. We are taking Big Data Orchestration to the next level and constantly solving new problems and challenges, please stay tuned. There are three common issues that the dataset owners usually face.

Processing 216

Processing Big Data Efficiency Engineering 216

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.

Lambda 102

Lambda Cloud IoT AWS 102

The Morning Paper

JULY 7, 2019

In addition to availability, our respondents focus most heavily on supporting the following data attributes: “accessibility, accuracy, authoritativeness, freshness, latency, structuredness, ontological typing, connectedness, and semantic joinability.” To address this, rigorous rollout processes are required.

Software Engineering 92

Software Engineering Engineering Software Software 92

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory. ML-based auto-tuning. Evaluation.

Software 78

Software Software Google Hardware 78

Dotcom-Montior

NOVEMBER 11, 2020

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. The primary challenge being not able to access the underlying infrastructure metrics. The time it takes between an action and a response is latency. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57