High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. This is a guest post by Ankit Sirmorya.

Design 334

Design Media Storage Logistics 334

Uber Engineering

JANUARY 16, 2023

Uber’s interactive analytics team shares how they integrated Alluxio’s data caching into Presto, the SQL query engine powering thousands of daily active users on petabyte scale at Uber, to dramatically reduce data scan latencies through leveraging Presto on local disks.

Cache 83

Cache Speed Latency Analytics 83

Dynatrace

SEPTEMBER 18, 2020

By leveraging the Dynatrace Davis AI causation engine to watch for unforeseen changes in underlying API responsiveness, Dynatrace automatically identifies slowdowns in the performance of your API manager and points you to their root cause. High latency or lack of responses. Soaring number of active connections.

Infrastructure 190

Infrastructure Latency Metrics Analytics 190

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. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 199

Cache Azure Infrastructure Monitoring 199

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 Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 240

AWS Efficiency Azure Cloud 240

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which We needed to increase engineering productivity via distributed request tracing. That is the first question our engineering teams asked us when integrating the tracer library.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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

High Scalability

NOVEMBER 23, 2018

Here's some fancy FCC reverse engineering magic. Delay is Not an Option: Low Latency Routing in Space , Murat ). As a result, most organizations are down-sampling, which can impact the accuracy of machine models and created unnecessary steps to the predictive analytics process. Do you like this sort of Stuff? Lots of leftovers.

Internet 174

Internet Internet Scalability Analytics 174

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. The Dynatrace AI engine, Davis , provides precise answers with automatic root-cause analysis to help DevOps and ITOps continuously improve workflows. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

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 177

Benchmarking Latency Speed Software 177

Percona

NOVEMBER 2, 2023

Introduction of clustered collections for optimized analytical queries. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. x: Live resharding of databases for uninterrupted sharded key changes. In MongoDB 6.x:

Best Practices 86

Best Practices Hardware Tuning Scalability 86

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

CSS Wizardry

OCTOBER 27, 2018

Things always always feel fast when we’re developing because, more often than not, we’re working on high-spec machines on dedicated networks, and also serving from localhost which removes the bulk of the latency and bandwidth issues that a real user would suffer. Who: Engineers. Who: Engineers, Product Owners.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

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

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

Dynatrace

DECEMBER 2, 2021

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. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. Help with decision making.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

JULY 6, 2020

All this comes with the Dynatrace zero-configuration approach, automatic service detection, continuous data capture in context, and answers, not just data, from the Dynatrace Davis AI engine, making you ready for large-scale Azure deployments. Gain enhanced visibility into your Azure environment. Get a comprehensive view of your batch jobs.

Azure 145

Azure Cloud Big Data Virtualization 145

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

MAY 21, 2024

Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.

Technology 196

Technology Technology Analytics Storage 196

Dotcom-Montior

DECEMBER 8, 2021

In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. In a different article, we talked about chaos engineering and how SRE teams proactively seek out and test for failures to prevent the worst from happening. Read : Top 13 Site Reliability Engineer (SRE) Tools.

Social Media 90

Social Media Monitoring Latency DevOps 90

Smashing Magazine

AUGUST 3, 2021

Fortunately, we as engineers can avoid, or at least mitigate the impact of breakages in the web apps we build. Engineers need visibility on the root cause behind a degraded experience. Even errors not surfaced to end-users (secondary errors) must propagate to engineers. More after jump! Observability. Large preview ).

Network 145

Network Engineering Availability Monitoring 145

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

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

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

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

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

SEPTEMBER 2, 2020

For engineers, instead of whodunit, the question is often “what failed and why?” An engineer can find herself digging through logs, poring over traces, and staring at dozens of dashboards. Edgar provides a powerful and consumable user experience to both engineers and non-engineers alike.

Latency 296

Latency Transportation Engineering Traffic 296

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Businesses can tailor the global infrastructure available via ScaleGrid to satisfy their unique regional and functional needs.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. This freshness measurement can then be used by out-of-the-box Dynatrace anomaly detection to actively alert on abnormal changes within the data ingest latency to ensure the expected freshness of all the data records.

DevOps 190

DevOps Analytics Airlines Metrics 190

Dynatrace

JULY 24, 2023

Imagine having an AI engine that comprehends the complete context of the transaction and intelligently determines whether to send a discount code—and which one to send. Full contextual awareness helps the AI engine make informed decisions. Has the user purchased this product before?

DevOps 213

DevOps Traffic Efficiency Servers 213

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. an engineering adventure to break the 1,000 mph barrier in a car. Driving down the cost of Big-Data analytics. From Airships to Waterslides.

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). This achieves very low-latency for queries which is crucial for the overall performance of internet applications.

Cloud 117

Cloud Internet Internet AWS 117

Adrian Cockcroft

MAY 6, 2023

I don’t advocate “Serverless Only”, and I recommended that if you need sustained high traffic, low latency and higher efficiency, then you should re-implement your rapid prototype as a continuously running autoscaled container, as part of a larger serverless event driven architecture, which is what they did. Finally, what were they building?

Serverless 145

Serverless Lambda Best Practices Traffic 145

Scalegrid

MARCH 28, 2024

As Redis stores data, it supports extensive data key and string lengths, up to 512 MB, while offering complex data structures like: lists sets sorted sets hashes bitmaps These features make Redis much more than a basic caching engine; it is a versatile tool capable of supporting diverse data models.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The data warehouse is not designed to serve point requests from microservices with low latency.

Latency 243

Latency Storage Big Data Tuning 243