The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. All data should be also available for offline analytics in Hive/Iceberg. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

DECEMBER 4, 2023

AI model observability plays a crucial role in achieving this by addressing these key aspects: Model performance and reliability: Evaluating the model’s ability to provide accurate and timely responses, ensuring stability, and assessing domain-specific semantic accuracy. Maintained under the Apache 2.0

Open Source 258

Open Source Latency Metrics Java 258

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.

Software 263

Software Software Benchmarking Latency 263

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 216

Lambda AWS Serverless Latency 216

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Well-defined APIs are required for managing such microservices and tracking changes in their performance. High latency or lack of responses.

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

CSS Wizardry

OCTOBER 27, 2018

A lot of companies—even if they are aware that performance is key to their business—are often unsure of how, when, or where performance testing sits within their development lifecycle. To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

SEPTEMBER 13, 2023

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 247

AWS Efficiency Azure Cloud 247

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration.

Cache 204

Cache Azure Infrastructure Monitoring 204

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. For example, your payment history might be on one database cluster and your analytics records on another cluster.

Java 130

Java Network Servers Database 130

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 203

Monitoring Social Media IoT Metrics 203

Dynatrace

APRIL 25, 2023

It helps developers and operators identify and troubleshoot issues, optimize performance and improve user experience. Higher latency and cold start issues due to the initialization time of the functions. Amazon DynamoDB or connect your application logs with your performance data or transaction.

Serverless 207

Serverless Lambda Azure AWS 207

Dynatrace

DECEMBER 15, 2022

The primary goal of ITOps is to provide a high-performing, consistent IT environment. Organizations measure these factors in general terms by assessing the usability, functionality, reliability, and performance of products and services. Performance. What does IT operations do?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. 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.

Open Source 130

Open Source Latency Traffic Analytics 130

Dynatrace

MAY 5, 2021

At Perform 2021 , Dynatrace’s Kristof Renders, Services Practice Manager for Autonomous Cloud Enablement, joined Sumit Nagal, Principal Engineer at Intuit, to demonstrate how service-level objectives (SLOs) and business-level objectives (BLOs) can “shift left.” For example, improving latency by as little as 0.1

Benchmarking 183

Benchmarking Latency Speed Software 183

ACM Sigarch

MARCH 18, 2019

Existing systems can be studied with measurement, while prospective systems are most often studied by extrapolating from measurements of prior systems or via simulation software that mimics target system function and provides performance metrics. Can one both minimize latency and maximize throughput for unscheduled work? Little’s Law.

Systems 60

Systems Latency Performance Analytics 60

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

Best Practices 86

Best Practices Hardware Tuning Scalability 86

The Netflix TechBlog

MARCH 10, 2023

Production assets operations are performed in parallel with older data reprocessing without any service downtime. Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams.

Media 237

Media Traffic Processing Design 237

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. service availability with <50ms latency for an application with no revenue impact. But there are SLO pitfalls.

DevOps 196

DevOps Metrics Best Practices Latency 196

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

Speed Curve

MARCH 11, 2024

After years of development and testing, Google has added Interaction to Next Paint (INP) to its trifecta of Core Web Vitals – the performance metrics that are a key ingredient in its search ranking algorithm. But we also approach each new metric with an analytical eye. Not sure what INP means or why it matters? for mobile.

Mobile 81

Mobile Google Metrics Monitoring 81

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 53

Systems Latency Performance C++ 53

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 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 2, 2021

SLOs, together with service-level indicators (SLIs), deliver the performance promised in service-level agreements (SLAs) and other business level objectives (BLOs) while staying within error budgets. In layman’s terms, SLOs represent the performance or health of a service. But what are SLOs? Watch webinar now! Promote automation.

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

Dynatrace

JULY 6, 2020

Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Get full observability into your Azure MySQL database.

Azure 148

Azure Cloud Big Data Virtualization 148

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. Open source analytics tools can give you this information – but not in real-time. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. VoltDB provides the necessary technology to achieve the latency required by header bidding. Open source analytics tools can give you this information – but not in real-time. Another adtech infrastructure problem is capacity.

Performance 40

Performance Hardware Latency Infrastructure 40

Dotcom-Montior

OCTOBER 6, 2021

Performance. Furthermore, SREs can view real-time dashboards, access reports, and review analytics to quickly identify performance issues. appeared first on Dotcom-Monitor Web Performance Blog. Let us dig into this deeper to understand more about this role and how it functions within organizations. Availability.

Engineering 67

Engineering DevOps Monitoring Google 67

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. Pipeline reliability and performance go hand in hand. If tuned for performance, there is a good change reliability is compromised - and vice versa.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130