Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 145

Azure Cloud Big Data Virtualization 145

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. However, having a scalable stream processing platform doesn’t help much if you can’t store data in a cost efficient manner.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

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. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

DECEMBER 8, 2021

The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. This helps to improve efficiency and ensures that information is consistent, up-to-date, and available. Service Catalog. Problem Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

Serverless 241

Serverless Efficiency Lambda Azure 241

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. The results are then evaluated using specific metrics to determine whether the hypothesis is valid.

Traffic 279

Traffic Metrics Systems Strategy 279

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. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination.

Database 213

Database Latency C++ Scalability 213

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. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. When an upstream schema evolves (e.g.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 117

Latency Performance Virtualization Infrastructure 117

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 171

Media Innovation Metrics Latency 171

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

Smashing Magazine

AUGUST 3, 2023

Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues. These metrics provide a different perspective on user experience: Largest Contentful Paint (LCP) Measures the time it takes for the main content on a webpage to load. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. Cloudburst monitors request and service rates (storing metrics in Anna).

Serverless 98

Serverless Lambda Cache Latency 98

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? This also includes latency, or the time it takes for data or a request to get through a network.

Systems 74

Systems Monitoring Hardware Network 74

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 35

Latency Performance Virtualization Infrastructure 35

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Computation of more advanced metrics like a number of unique visitor or most frequent items is more challenging and requires a lot of resources if implemented straightforwardly. bits per unique value.

Analytics 191

Analytics Traffic Big Data Efficiency 191

O'Reilly Software

APRIL 30, 2018

Monitoring services provide customers and cloud providers real-time data on a variety of key metrics. When a user makes an application request, DNS locates the data records, and determines the best and most efficient location from which to retrieve the data based on the location of the user.

Cloud 68

Cloud Traffic Internet Internet 68

Alex Russell

APRIL 29, 2021

Another window into this question is provided by the Web Confluence Metrics project. Efficiently enables new styles of drawing content on the web , removing many hard tradeoffs between visual richness , accessibility, and performance. These TransformStream types help applications efficiently deal with large amounts of binary data.

Media 145

Media Games Education Engineering 145

Dynatrace

AUGUST 5, 2019

Database & functional migration. Remember: This is a critical aspect as you do not want to migrate a service and suddenly introduce high latency or costs to a system that you forgot about having a dependency with! Step 4: Smart Database Migration. What’s the current performance of key database queries and stored procedures?

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

JUNE 20, 2020

built-in relational SQL database engines. Rendering text is important (think login screens), but there's no product without low-latency, adaptive codecs, networking, and camera/microphone access. You're usually better off tackling latency with aggressive performance budgeting. ??. high-color image raster. floppy/CD/DVD).

Hardware 55

Hardware Games Java Media 55

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

The Netflix TechBlog

MARCH 6, 2019

This is just one of many use cases that MezzFS supports, but all the use cases share a similar theme: stream the right bits of a remote object efficiently and expose those bits as a file on the filesystem. MezzFS collects metrics on data throughput, download efficiency, resource usage, etc.

Media 214

Media Storage Processing Cache 214

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 104

Performance Cache Metrics Network 104