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

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way.

DevOps 189

DevOps Analytics Airlines Metrics 189

Dynatrace

OCTOBER 4, 2022

The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. The performance of these queries needs to be at a level where they can support ad-hoc analytics use cases. Data lakehouses deliver the query response with minimal latency.

Artificial Intelligence 201

Artificial Intelligence Analytics Storage Government 201

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes.

Lambda 208

Lambda AWS Serverless Latency 208

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

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. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

APRIL 6, 2022

Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. Improve business decisions with precision analytics. Why full-stack observability matters.

DevOps 225

DevOps Innovation Infrastructure Analytics 225

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Site Reliability Guardian also helps keep your production environment safe and secure through automated change impact analysis.

AWS 240

AWS Efficiency Azure Cloud 240

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps relies on manual correlations and dashboards for analysis. AIOps, on the other hand, uses AI and machine learning for automatic analysis and insights. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

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. User behavior, on the other hand, provides us with details on user retention, sessions, bounce rates, and user engagement.

Metrics 166

Metrics Monitoring Database Network 166

Dynatrace

APRIL 25, 2023

Higher latency and cold start issues due to the initialization time of the functions. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively? Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 200

Serverless Lambda Azure AWS 200

Scalegrid

FEBRUARY 8, 2024

Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

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 196

Monitoring Social Media IoT Metrics 196

Dynatrace

OCTOBER 4, 2021

When choosing an API monitoring tool, keep in mind that not all have the same breadth of functionality or depth of analytic capabilities. Look for key features, including: Comprehensive analysis of all data, not just samples of monitoring data. Choosing an API monitoring tool. Support for both RUM and synthetic monitoring.

Monitoring 171

Monitoring Latency Metrics Availability 171

Dynatrace

JULY 24, 2023

Change impact analysis is an indispensable process for effectively managing changes within an organization’s infrastructure and applications. 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 213

DevOps Traffic Efficiency Servers 213

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

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Additionally. What is meant by the workload in computers?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

JUNE 22, 2023

Number of slow queries recorded Select types, sorts, locks, and total questions against a database Command counters and handlers used by queries give an overall traffic summary Along with this, PMM also comes with Query Analytics giving much detailed information about queries getting executed.

Performance 104

Performance Monitoring Traffic Database 104

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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 176

Benchmarking Latency Speed Software 176

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 189

DevOps Metrics Best Practices Latency 189

ACM Sigarch

MARCH 18, 2019

This Part 1 discusses Bottleneck Analysis and Little’s Law, while Part 2 presents the M/M/1 Queue. Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. Bottleneck Analysis.

Systems 60

Systems Latency Performance Analytics 60

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Speed Curve

MARCH 11, 2024

But we also approach each new metric with an analytical eye. After further analysis, Cliff discovered still more important INP insights, including: 1. One of the biggest culprits: latency, which is typically worse on mobile. Here at SpeedCurve, we definitely get excited about emerging metrics. You must look at your own data."

Mobile 82

Mobile Google Metrics Monitoring 82

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

Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

Dynatrace

DECEMBER 2, 2021

You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. Dashboards and manual metric collection sheets make remediation processes slow and don’t provide root cause analysis. Automate SLO evaluation. Ready for a deeper look at how to use SLOs for automation?

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

ACM Sigarch

MARCH 25, 2019

Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. It also presented Bottleneck Analysis and Little’s Law that can give initial answers to questions like: What is the maximum throughput through several subsystems in series and parallel? and 1/S as ?.

Systems 53

Systems Latency Performance C++ 53

All Things Distributed

JUNE 7, 2017

Some applications may also rely on timely decisions: when maneuvering heavy machinery, an absolute minimum of latency is critical. Local aggregation and filtering of data allows customers to send only high-value data to the cloud for storage and analysis. Law of the Land.

AWS 118

AWS IoT Lambda Storage 118

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40