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 227

Azure Cloud Big Data Virtualization 227

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Big Data 92

Big Data Analytics AWS Cloud 92

Scalegrid

JANUARY 10, 2025

Heading into 2024, SQL databases will remain essential in data management, increasingly using distributed systems to meet growing needs for scalability and reliability. According to 2023 statistics, 49% of web applications use an SQL-based database , with SQL having a 75% adoption rate in the IT industry.

Database 130

Database Scalability Best Practices Blockchain 130

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Website monitoring.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

DZone

JANUARY 20, 2023

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

Scalability 210

Scalability Big Data Hardware Internet 210

The Netflix TechBlog

JULY 15, 2021

I was later hired into my first purely data gig where I was able to deepen my knowledge of big data. After that, I joined MySpace back at its peak as a data engineer and got my first taste of data warehousing at internet-scale. Both were appliances located in our own data center. What drew you to Netflix?

Data Engineering 197

Data Engineering Engineering Entertainment Big Data 197

The Netflix TechBlog

MARCH 25, 2019

The lineage data along with the enriched information is accessed through many interfaces using SQL against the warehouse and Gremlin and a REST Lineage Service against a graph database populated from the lineage data discussed earlier in this paragraph.

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document databases advance the BigTable model offering two significant improvements.

Database 279

Database Ecommerce Efficiency Engineering 279

The Netflix TechBlog

JULY 26, 2021

The Journey In the past few years, Netflix Studio has gone through few iterations of data movement approaches. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. End-to-End Schema Evolution Schema is a key component of Data Mesh. When an upstream schema evolves (e.g.

Big Data 257

Big Data Government Processing Analytics 257

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 260

Performance Java Metrics Cloud 260

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. And without the encumbrances of traditional databases, Grail performs fast. “In

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

APRIL 20, 2023

Using Grail to heal observability pains Grail logs not only store big data, but also map out dependencies to enable fast analytics and data reasoning. ” Weighing the value and cost of indexed databases vs. Grail With standard index databases, teams must choose relevant indexes before data ingestion.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

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 processed data is typically stored as data warehouse tables in AWS S3.

Latency 252

Latency Storage Big Data Tuning 252

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 246

Infrastructure Cloud Azure AWS 246

All Things Distributed

AUGUST 19, 2011

Job Openings in AWS - Senior Leader in Database Services. This week it is an opening for senior leaders with AWS Database Services. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Comments (). Contact Info. Werner Vogels.

AWS 65

AWS Database Storage Scalability 65

Dynatrace

APRIL 11, 2023

Meanwhile, traditional databases have demonstrated limitations in increasingly complex and distributed cloud-native environments. The schema and index-dependent approach of traditional databases can’t keep pace or provide adequate analytics of these hyperscale environments.

Cloud 246

Cloud DevOps Open Source Retail 246

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

FEBRUARY 11, 2025

Choosing the right database often comes down to MongoDB vs MySQL. This article will help you understand the core differences in data structure, scalability, and use cases. Whether you need a relational database for complex transactions or a NoSQL database for flexible data storage, weve got you covered.

Scalability 147

Scalability Database Storage IoT 147

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. And I’m sure we’ve all experienced frustration when an application crashes, is slow to load, or doesn’t load at all.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Using the consolidated API, I started to pull events and problems from all environments and store them in a time series database (influxDB). The raw event and problem data from Dynatrace for analysis stored in InfluxDB.

Tuning 264

Tuning Architecture Monitoring Big Data 264

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 112

Cloud Big Data AWS Analytics 112

DZone

MARCH 16, 2020

In this case, for the sake of demonstration, I have taken 2 million dummy physician records that reside in the database table and migrated them to in-memory maps. The migration will enable the application to quickly lookup in the map and vet the physician rather than querying the database table for vetting.

Cache 147

Cache Java Performance Database 147

All Things Distributed

FEBRUARY 17, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region.

AWS 120

AWS Website Storage Servers 120

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 211

Java Scalability Traffic Architecture 211

Percona

MARCH 15, 2023

We at Percona talk a lot about how Kubernetes Operators automate the deployment and management of databases. Operators seamlessly handle lots of Kubernetes primitives and database configuration bits and pieces, all to remove toil from operation teams and provide a self-service experience for developers.

Database 111

Database Big Data Processing Servers 111

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 76

Big Data Mobile Latency Database 76

All Things Distributed

AUGUST 22, 2011

There are many success stories about the effectiveness of caching in many different scenarios; next to helping applications achieving fast and predictable performance, it often protects databases from requests bursts and brownouts under overload conditions. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 103

Cloud Cache AWS Storage 103

The Netflix TechBlog

DECEMBER 21, 2020

These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing. Other than these principles, there are some other design considerations to support and enable: Multi-tenancy with database and table prioritization. Transparency to end-users.

Storage 212

Storage Latency Efficiency Data Engineering 212

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Big Data Analytics Architecture 78

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Additionally, it provides robust native support for geospatial data, enhancing applications like maps and location services.

Cache 130

Cache Storage Architecture Scalability 130

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. It was developed for optimizing data storage and access for big data sets.

Open Source 111

Open Source Storage Database Big Data 111

The Netflix TechBlog

FEBRUARY 16, 2021

SKUDB: SKU catalog data was migrated from the metadata configuration files to a relational database. SKUService: A service layer replaced the original SKU catalog client library to provide a unified interface for consumers to access the SKU catalog. Persistence Layer?—?SKUDB: Business Rules?—?SKURules:

Mobile 218

Mobile Engineering Infrastructure Scalability 218

DZone

MAY 14, 2020

The performance claims made and the hype surrounding the Graviton2 had us itching to see how our high-performance database would perform. We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors. The numbers were quite exciting with the AWS Graviton2 living up to the hype, we hope you enjoy!

AWS 130

AWS Benchmarking Database Performance 130

All Things Distributed

DECEMBER 14, 2011

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS. Expanding the Cloud â?? Introducing the AWS South America (Sao Paulo) Region.

AWS 103

AWS Latency Storage Cloud 103