Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

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. N, first N rows are fetched from the table.

Media 237

Media Traffic Processing Design 237

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

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Performance. What does IT operations do?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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. To avoid this, start the SLO discussion early in the design process. But there are SLO pitfalls.

DevOps 196

DevOps Metrics Best Practices Latency 196

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

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

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

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. 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.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

ScaleOut Software

AUGUST 18, 2018

IMDGs enable transparent performance scaling, which is required to ensure fast event handling, and they typically have built-in high availability. Container -based execution can replicate the IMDG’s execution environment so that application code is unaware of the migration other than by observing dramatically lower event-handling latency.

IoT 45

IoT Ecommerce Analytics Latency 45

Dotcom-Montior

DECEMBER 8, 2021

are all prone to performance issues and unexpected outages at some point. ITSM defines how teams design, create, and deliver their services. Problem management is the process by which the root causes of incidents are permanently fixed, which improves long-term performance and future service deployments. Change Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

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

ScaleOut Software

AUGUST 18, 2018

IMDGs enable transparent performance scaling, which is required to ensure fast event handling, and they typically have built-in high availability. Container -based execution can replicate the IMDG’s execution environment so that application code is unaware of the migration other than by observing dramatically lower event-handling latency.

IoT 40

IoT Ecommerce Analytics Latency 40

Smashing Magazine

AUGUST 3, 2021

This liberal attitude is known as Postel’s Law, which is conveyed superbly by Jeremy Keith in Resilient Web Design : “Even if there are errors in the HTML or CSS, the browser will still attempt to process the information, skipping over any pieces that it can’t parse.”. On design systems, CSS/JS and UX. JavaScript is less forgiving.

Network 145

Network Engineering Availability Monitoring 145

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 114

AWS Latency Storage Big Data 114

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. In those days, my main goal was to take the advances in building the highly dedicated High Performance Cluster environments and turn them into commodity technologies for the enterprise to use.

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Choosing between Redis and Memcached hinges on specific application requirements.

Cache 130

Cache Storage Scalability Architecture 130

Speed Curve

SEPTEMBER 4, 2013

It's an overview of why front-end performance matter, how to monitor it and the challenges faced when building for an increasingly mobile world. Bandwidth, latency and it's fundamental impact on the speed of the web. Bandwidth, latency and it's fundamental impact on the speed of the web. Performance Tools. References.

Speed 40

Speed Benchmarking Latency Mobile 40

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

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

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

DECEMBER 3, 2009

This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. In addition, the EU (Ireland) Region is available to customers who want local access to services from Europe to address their performance or jurisdiction requirements. Contact Info. Werner Vogels.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

DECEMBER 5, 2010

I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. We have designed Route 53 to propagate updates very quickly and give the customer the tools to find out when all changes have been propagated. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Internet Internet AWS 117

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

AUGUST 3, 2023

How We Optimized Performance To Serve A Global Audience How We Optimized Performance To Serve A Global Audience Liran Cohen 2023-08-03T10:00:00+00:00 2023-08-03T13:06:00+00:00 I work for Bookaway , a digital travel brand. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings.

Performance 74

Performance Cache Traffic Metrics 74

Scalegrid

MARCH 14, 2024

Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands. 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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Dynatrace

JULY 24, 2023

Answer-driven DevOps automation goes beyond creating tickets and extends to executing workflows designed to extract ownership information and then route the ticket to the responsible teams. For instance, in the case of poor performance, you can seamlessly toggle a feature flag and mitigate any detrimental effects.

DevOps 220

DevOps Traffic Efficiency Servers 220

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

Alex Russell

MAY 9, 2022

Despite advances in browser tooling , automated evaluation , lab tools , guidance , and runtimes , however, teams struggle to deliver even decent performance with today's popular frameworks. What is Performance? It may seem a silly question, but what is performance, exactly?

Performance 86

Performance Latency Metrics Engineering 86

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 208

Artificial Intelligence Analytics Storage Government 208

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 61

AWS Cloud Latency Storage 61

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These crucial elements act as conductors in a symphony, coordinating the performance of all aspects related to cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

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. The incremental processing solution (IPS) described here has been designed to address the above problems. Apache Iceberg Iceberg is a high-performance format for huge analytic tables.

Processing 210

Processing Big Data Efficiency Engineering 210

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. Iceberg is widely adopted in Netflix as a data warehouse table format that addresses many of the usability and performance problems with Hive tables.

Latency 243

Latency Storage Big Data Tuning 243