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

JANUARY 16, 2023

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Messaging : RabbitMQ and Kafka are the two main messaging and event streaming systems used. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 358

Open Source Java Operating System Programming 358

Dynatrace

MARCH 24, 2023

Problems include provisioning and deployment; load balancing; securing interactions between containers; configuration and allocation of resources such as networking and storage; and deprovisioning containers that are no longer needed. How does container orchestration work?

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

The Netflix TechBlog

JUNE 20, 2024

In this talk, Jessica Larson shares her takeaways from building a new data platform post-GDPR. Last but not least, thank you to the organizers of the Data Engineering Open Forum: Chris Colburn , Xinran Waibel , Jai Balani , Rashmi Shamprasad , and Patricia Ho. Until next time!

Data Engineering 206

Data Engineering Engineering Entertainment Software Engineering 206

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. But logs are just one pillar of the observability triumvirate.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

MAY 4, 2023

In this approach, we record the requests and responses for the service that needs to be updated or replaced to an offline event stream asynchronously. 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

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

Highly Scalable

MARCH 1, 2012

And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. Perhaps the greatest benefit of an unordered Key-Value data model is that entries can be partitioned across multiple servers by just hashing the key.

Database 279

Database Ecommerce Efficiency Engineering 279

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

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

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

JUNE 28, 2024

This reliability also extends to fault tolerance, as RabbitMQ’s mechanisms ensure that even in the event of a node failure, the message delivery system persists without interruption, safeguarding the system’s overall health and functionality. Can RabbitMQ handle the high-throughput needs of big data applications?

IoT 130

IoT Healthcare Programming Open Source 130

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 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 69

AWS Big Data Media Storage 69

Abhishek Tiwari

DECEMBER 27, 2017

More importantly, UDM utilizes a single storage backend with benefits of multiple storage systems which avoids moving data across systems hence data duplication, and data consistency issues. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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 62

AWS Storage Cloud Big Data 62

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. At werner.ly Syndication.

AWS 66

AWS Cloud Storage Best Practices 66

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. If the majority of your data is unstructured such as text, images, documents, etc. Classic ETL. Late transformation.

Big Data 40

Big Data Retail Storage Google 40

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.) Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Network 79

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. This allows quick answers to questions such as: “Show me the percentage shortfall in ventilators by state.”.

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. This allows quick answers to questions such as: “Show me the percentage shortfall in ventilators by state.”.

Logistics 52

Logistics Analytics Scalability Cloud 52

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 41

DevOps Network Best Practices Programming 41

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

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. Research papers. (In In random order!). speedup over the best performing existing method.

Blockchain 46

Blockchain Hardware Google Speed 46

SQL Server According to Bob

JANUARY 15, 2020

​​ Using kubectl and running ​​ kube ctl get events ​​ or ​​ kubectl describe pod master-0 -n mssql-cluster ​​ did ​​ not ​​ give ​​ me what I needed to understand what happened with the kubelet interactions related to the evictions.

Servers 40

Servers Metrics Big Data Operating System 40

The Netflix TechBlog

OCTOBER 15, 2019

Beyond data synchronization, some applications also need to enrich their data by calling external services. Delta is an eventual consistent, event driven, data synchronization and enrichment platform. CDC (Change-Data-Capture) events are sent by the Delta-Connector to a Keystone Kafka topic.

Transportation 199

Transportation Architecture Processing Storage 199

Adrian Cockcroft

NOVEMBER 18, 2024

Hear how AWS infrastructure is efficient for your AI workloads to minimize environmental impact as you innovate with compute, storage, networking, and more. uses big data to reduce methane emissions Trace gases including methane and carbon dioxide contribute to climate change and impact the health of millions of people across the globe.

AWS 98

AWS Energy Lambda Government 98