Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source.

Architecture 200

Architecture Database Latency Servers 200

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

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Government Innovation 130

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. A new record entering a database table. Dynatrace news. What is AWS Lambda?

Lambda 178

Lambda AWS Serverless Hardware 178

Percona

MARCH 20, 2023

When designing an architecture, many components need to be considered before deciding on the best solution. In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. In short, each cluster is, in reality, a single database with high availability and other functionalities built in.

Games 121

Games Latency Traffic Cache 121

High Scalability

SEPTEMBER 8, 2018

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

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 146

Azure Cloud Big Data Virtualization 146

IO River

NOVEMBER 2, 2023

They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. This lower server load allows servers to handle more concurrent connections and efficiently serve more users simultaneously.

Cache 52

Cache Social Media Website Performance Website 52

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. Why do we need a new reference architecture?

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 163

Cloud Traffic Best Practices Strategy 163

Smashing Magazine

SEPTEMBER 28, 2022

Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time. Common Websocket Architecture. Event Sourcing Architecture. Caching Schemes. Large preview ). Large preview ).

Cache 125

Cache Performance Servers Social Media 125

All Things Distributed

NOVEMBER 8, 2012

Improving the Cloud - More Efficient Queuing with SQS. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. All Things Distributed. By Werner Vogels on 08 November 2012 03:00 PM. Comments ().

Efficiency 104

Efficiency Cloud Games Scalability 104

The Morning Paper

FEBRUARY 6, 2020

Given the simplicity and economic appeal of FaaS, it is interesting to explore designs that preserve the autoscaling and operational benefits of current offerings, while adding performant, cost-efficient and consistent shared state and communication. High level architecture. Updates should be allowed at any function invocation site.

Lambda 98

Lambda Serverless Cache Latency 98

Dotcom-Montior

NOVEMBER 24, 2021

Do you have a database? Was the database running? The last item to check was if the web server was able to talk to the database? The last item to check was if the web server was able to talk to the database? Gone are the days of monolithic architecture. The recipe was straightforward. Do you have a web server?

Systems 74

Systems Monitoring Hardware Network 74

IO River

NOVEMBER 2, 2023

They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution. This lower server load allows servers to handle more concurrent connections and efficiently serve more users simultaneously.

Cache 52

Cache Social Media Website Performance Website 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. 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.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JANUARY 24, 2023

Such “torn pages” are corruptions from the database point of view. This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Individual processes generate WAL records, and latency is very crucial for transactions. This is generally referred to as “ partial page writes ” or “ torn pages.”

Database 116

Database Benchmarking Open Source Latency 116

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. However, no matter the specific word used, the meaning is the same: remote method calls over HTTP.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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. The network latency of fetching data over the network, even considering fast data center networks. What is that something? Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. This level of distribution will seriously affect the efficiency of the operation, which will increase the response time significantly. This is it.

Traffic 123

Traffic Scalability Database Servers 123

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Smashing Magazine

AUGUST 3, 2023

This is why the async and deferred attributes are crucial, as they ensure an efficient, seamless web browsing experience. Layout Shifts From Dynamic And Static Content We have been using dynamic content serving, where each request reaches our back-end server and triggers processes like database retrievals and page renderings.

Performance 74

Performance Cache Traffic Metrics 74

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

SEPTEMBER 12, 2019

Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., Machine learning inside a relational database has been done before, most notably in the form of MADlib , which was integrated into Greenplum during my time at Pivotal. VLDB’19.

Network 44

Network Database Programming Hardware 44

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 229

Processing Media Latency Innovation 229

O'Reilly Software

APRIL 30, 2018

When designing cloud architecture, it’s critical to consider that your applications could be affected by failures and that you must be prepared to respond to those failures quickly and effectively. Each lookup incurs a small, incremental amount of latency. Harnessing DNS for traffic steering, load balancing, and intelligent response.

Cloud 68

Cloud Traffic Internet Internet 68

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. A/B testing is also a key technique in migrations where the updates to the architecture involve changing device contracts as well.

Traffic 279

Traffic Metrics Systems Strategy 279

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Triggers.

Database 167

Database Lambda AWS IoT 167

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203