Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

APRIL 20, 2023

At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based based financial services group, discussed how the bank uses log monitoring on the Dynatrace platform with an emphasis on observability and security data.

Analytics 246

Analytics Infrastructure Storage Architecture 246

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

The Netflix TechBlog

JUNE 20, 2024

In this talk, Jessica Larson shares her takeaways from building a new data platform post-GDPR. Data Productivity at Scale Recording Speaker : Iaroslav Zeigerman (Co-Founder and Chief Architect at Tobiko Data) Summary : The development and evolution of data pipelines are hindered by outdated tooling compared to software development.

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

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.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

MAY 4, 2023

Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production. Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg.

Traffic 347

Traffic Latency Tuning Systems 347

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Comments ().

Storage 64

Storage Cloud AWS Scalability 64

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Scalegrid

FEBRUARY 11, 2025

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. This allows for precise data manipulation and retrieval.

Scalability 147

Scalability Database Storage IoT 147

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. At werner.ly

Technology 129

Technology Technology AWS Storage 129

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. Any organization recruits experienced testing agencies to comply with their specifications for software testing. Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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

Highly Scalable

MARCH 1, 2012

No one can expect human users to explicitly control concurrency, integrity, consistency, or data type validity. On the other hand, it turned out that software applications are not so often interested in in-database aggregation and able to control, at least in many cases, integrity and validity themselves.

Database 279

Database Ecommerce Efficiency Engineering 279

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 114

Cloud Big Data AWS Analytics 114

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 post The Need for Real-Time Device Tracking appeared first on ScaleOut Software.

IoT 78

IoT Big Data Analytics Architecture 78

All Things Distributed

DECEMBER 14, 2011

These companies can now benefit from the fact that the new Sao Paulo Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in South America as well. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

AWS 105

AWS Latency Storage Cloud 105

All Things Distributed

FEBRUARY 25, 2011

Earlier this year I met with an ISV partner who transformed his on-premise ERP software into a software-as-a-service offering. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics. At werner.ly Syndication. or rss feed.

AWS 98

AWS Cloud Scalability Storage 98

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. Driving Storage Costs Down for AWS Customers. Comments (). At werner.ly Syndication.

AWS 100

AWS Cloud Java Scalability 100

Percona

OCTOBER 18, 2023

release , we added support for physical backups and restores to significantly reduce Recovery Time Objective ( RTO ), especially for big data sets. However, the problem of losing data between backups – in other words, Recovery Point Objective (RPO) – for physical backups was not solved. spec: backup: enabled: true.

Best Practices 103

Best Practices Storage AWS Big Data 103

Scalegrid

JUNE 28, 2024

This makes RabbitMQ an attractive option for developers and enterprises seeking to optimize their software architecture. Can RabbitMQ handle the high-throughput needs of big data applications? For high-throughput big data applications, RabbitMQ may fall short of expectations.

IoT 130

IoT Healthcare Programming Open Source 130

Percona

JANUARY 19, 2023

If CPU usage is not a bottleneck in your setup, you can leverage compression as it can improve performance which means that less data needs to be read from disk and written to memory, and indexes are compressed too. It can help us to save costs on storage and backup times. MyRocks is shipped in Percona Server for MySQL.

Open Source 111

Open Source Storage Database Big Data 111

All Things Distributed

DECEMBER 5, 2010

Resolvers operate in a completely separate hierarchy which is bottoms up, starting with software caches in a browser or the OS, to a local resolver or a regional resolver operated by an ISP or a corporate IT service. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

Cloud 113

Cloud Internet Internet AWS 113

All Things Distributed

AUGUST 19, 2011

AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. For more information: Head of Software Development  . Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Contact Info. Other places.

AWS 66

AWS Database Storage Scalability 66

All Things Distributed

JULY 13, 2010

During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

Cloud 98

Cloud AWS Automotive Latency 98

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 102

Cloud Energy AWS Healthcare 102

All Things Distributed

NOVEMBER 15, 2010

Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly Syndication. or rss feed.

AWS 125

AWS Programming Latency Architecture 125

All Things Distributed

DECEMBER 3, 2009

A wide variety of operating systems and software configurations is available for use. This allows for a very fine-grain control of software and data configuration. While the instance is stopped it does not accrue any usage hours and customers are only charged for the storage associated with the Amazon EBS volume.

AWS 60

AWS Storage Operating System Cloud 60

All Things Distributed

APRIL 28, 2010

With some minor configuration changes, they can simply move the software running in the AWS EU Region to the AWS Singapore Region and rapidly begin serving Asia Pacific customers. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 60

AWS Cloud Latency Storage 60

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. The test data management for the company had become a big problem and had to be solved.

Testing 60

Testing Storage Database Processing 60

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. CSV files.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Tech News Gather

OCTOBER 7, 2023

These unassuming pieces of software have the potential to reshape the way you engage with your customers, market your products or services, and, ultimately, grow your business. A phone call tracking app is a software tool that enables businesses to monitor and analyze incoming calls. What Is a Phone Call Tracking App?

Strategy 52

Strategy Big Data Scalability Games 52

All Things Distributed

FEBRUARY 24, 2010

However when one of these extreme failure conditions occurs it may be that the stronger consistency options are briefly not available while the software reorganizes itself to ensure that it can provide strong consistency. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. At werner.ly

AWS 63

AWS Latency Database Scalability 63

The Agile Manager

FEBRUARY 27, 2012

The rise of Big Data - the ability to store and analyze large volumes of structured and unstructured, internal and external data - promises to let companies react more nimbly than ever before. A megabyte of cloud-based disk storage is no different from a kilowatt of electricity. Nor is cloud computing.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45

Brendan Gregg

APRIL 30, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years.

DevOps 41

DevOps Network Best Practices Programming 41