Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. Databases Most Commonly Used with ScyllaDB. different database types.

Big Data 187

Big Data Database Open Source Azure 187

Dynatrace

SEPTEMBER 15, 2020

Without automation, Performance engineers and developers can no longer ensure that applications perform as planned, and costs are minimized.”. After every experiment run Akamas changes application, runtime, database or cloud configuration based on monitoring data it captured during the previous experiment run.

Performance 187

Performance Java Metrics Cloud 187

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. If you want to learn about Azure Data Lake, there is no one better.

Engineering 40

Engineering Azure Best Practices Servers 40

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 Analytics Big Data Architecture 78

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 supports native sharding being transparent for the application. It is available under a paid subscription.

Open Source 91

Open Source Storage Database Big Data 91

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 100

Big Data Mobile Latency Database 100

ScaleOut Software

NOVEMBER 24, 2020

Here’s a typical telematics architecture for processing telemetry from a fleet of trucks: Each truck today has a microprocessor-based sensor hub which collects key telemetry, such as vehicle speed and acceleration, engine parameters, trailer parameters, and more. This enables them to answer questions such as: “Where is truck 7563?

Analytics 52

Analytics Architecture Scalability Software Architecture 52

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache 84

Cache Latency Traffic Database 84

All Things Distributed

JUNE 20, 2017

9GAG has a small team of nine people, including three engineers to support the business, and uses AWS to service their global visitors. Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing).

AWS 149

AWS Logistics Cloud Social Media 149

Dynatrace

MAY 1, 2023

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. NoSQL database. Why use a data lakehouse for causal AI? Apache Spark.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL. Late transformation.

Big Data 40

Big Data Retail Storage Google 40

Brendan Gregg

APRIL 30, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals.

DevOps 43

DevOps Network Best Practices Programming 43

Testsigma

JULY 14, 2020

Test data storage can be achieved by any of the below options-. Database tables. Tools/ frameworks for data-driven automation testing-. If there is any update required either in test scripts or test data, it is hassle-free because both test data and test scripts are placed separately with no dependency on each other.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Brendan Gregg

APRIL 29, 2018

USENIX’s LISA conference is the premier event for topics in production system engineering. Join us for 3 days in Nashville at LISA'18. Post by Brendan Gregg and Rikki Endsley. LISA is a vendor-neutral event known for technical depth and rigor, and continues to attract an audience of seasoned professionals.

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

AUGUST 20, 2012

Data is retrieved by scheduling a job, which typically completes within 3 to 5 hours. Amazon Glacier integrates seamlessly with other AWS services such as Amazon S3 and the different AWS Database services. With Amazon Glacier any organization now has access to the same data archiving capabilities as the worldâ??s

Storage 122

Storage Cloud AWS Media 122

All Things Distributed

AUGUST 17, 2011

But while this blog happily runs out of S3, the process of creating and updating the content still required a server to run my Moveable Type installation and hold the database. Jekyll in written in Ruby and uses YAML for metadata management and uses the Liquid template engine to manipulate the content. Countdown to What is Next in AWS.

Servers 126

Servers Social Media AWS Website 126

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. 3d render.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. “It’s quite a big scale,” said an engineer at the financial services group.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

All Things Distributed

JANUARY 19, 2011

Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. and Engine Yard , Springsource users have CloudFoundry. Expanding the Cloud â??

AWS 115

AWS Cloud Java Operating System 115

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. an engineering adventure to break the 1,000 mph barrier in a car. The Big Idea: Biomimetic Architecture - The National Geographic came in the mail this week with a beautiful pull-out of Gaudís Sagrada Família, the online version is only a summary. Driving down the cost of Big-Data analytics.

AWS 68

AWS Cloud Benchmarking Storage 68

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. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

SEPTEMBER 30, 2010

There is huge variety in exiting architectures and I am often impressed about the ingenuity of the engineers in how to best transform the application if "Lift & Shift" is not an option. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services.

AWS 77

AWS Storage Cloud Best Practices 77

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Subjects like version control, crowdfunding, database selection and code editor choices are essential to efficient modern workflows, and this is a good place to start learning about them. Visit website 12.

Development 75

Development Website Design Code 75

The Netflix TechBlog

MARCH 25, 2019

Now, imagine yourself in the role of a software engineer responsible for a micro-service which publishes data consumed by few critical customer facing services (e.g. You are about to make structural changes to the data and want to know who and what downstream to your service will be impacted.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

FEBRUARY 16, 2021

Membership Engineering at Netflix is responsible for the plan and pricing configurations for every market worldwide. To solve the challenges mentioned above and meet our rapidly evolving business needs, we re-architected the legacy SKU catalog from the ground up and partnered with the Growth Engineering team to build a scalable SKU platform.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

All Things Distributed

JULY 13, 2010

Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. until today.

Cloud 119

Cloud AWS Automotive Latency 119

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 :-). a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Expanding the Cloud â??

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

APRIL 28, 2010

Currently, each AWS Region contains multiple Availability Zones, which are distinct locations that are engineered to be insulated from failures in other Availability Zones. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services.

AWS 61

AWS Cloud Latency Storage 61

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

Highly Scalable

JUNE 5, 2012

Intersection of sorted lists is a cornerstone operation in many applications including search engines and databases because indexes are often implemented using different types of sorted structures.

C++ 102

C++ Java Performance Testing Efficiency 102

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 202

Java Scalability Traffic Architecture 202

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. With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. From APM to full-stack monitoring.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

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.

Cloud 138

Cloud Big Data AWS Analytics 138

The Netflix TechBlog

DECEMBER 21, 2020

Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage 203

Storage Latency Efficiency Data Engineering 203

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. With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. From APM to full-stack monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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

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 184

Infrastructure Cloud Azure AWS 184