All Things Distributed

JULY 16, 2012

It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. The first annual AWS user and partner conference will be held November 27-29 at The Venetian in Las Vega.

AWS 83

AWS Big Data Media Storage 83

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. These questions can be answered using the latest data as it streams in from the field.

Logistics 52

Logistics Analytics Scalability Cloud 52

Scalegrid

MARCH 28, 2024

With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Data transfer technology. 3d render.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

JULY 3, 2011

Next to customer visits I will take part in a number of events organized by AWS and by our partners. This week in Japan there are three public events planned: July 4 - AWS HPC Night at Fuji Soft Hall in Akihabara. Next weekend I will travel to Australia where we will have two " Navigating the Cloud with AWS" Events. Syndication.

AWS 67

AWS Storage Cloud Big Data 67

Brendan Gregg

APRIL 30, 2018

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

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

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

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

SEPTEMBER 30, 2010

The AWS Events team is organizing a number of events where I will present together with a number of AWS customers: AWS Cloud Computing Event in Berlin on October 7 with AWS customers moviepilot , Cellular , Schnee von morgen and Plinga. In India there will be 3 AWS Cloud Computing events. Syndication. or rss feed.

AWS 75

AWS Storage Cloud Best Practices 75

Dynatrace

APRIL 20, 2023

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. “Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis.

Analytics 186

Analytics Infrastructure Storage Efficiency 186

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 184

Analytics Innovation Metrics Database 184

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. it’s getting much more complex and expensive to process, store, and secure potentially sensitive data.

Cloud 104

Cloud Big Data Latency Architecture 104

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. ETL is a product of the relational database era and it has not evolved much in last decade. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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 Morning Paper

SEPTEMBER 19, 2019

MongoDB is an important database, and this paper explains the tunable (per-operation) consistency models that MongoDB provides and how they are implemented under the covers. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time.

Blockchain 46

Blockchain Hardware Google Analytics 46

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. We’ve seen similar high marshalling overheads in big data systems too.) See e.g. ‘ caching data with Spring.’

Cache 79

Cache Latency Google Lambda 79