The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Serverless o?erings

Architecture 76

Architecture Cloud Storage Serverless 76

Dynatrace

OCTOBER 7, 2021

For many companies, the journey to modern cloud applications starts with serverless. While these serverless services provide strong business benefits due to their flexible on-demand usage and pricing model, they also introduce new complexities for observability. Serverless architecture: A primer. Scalability.

Serverless 283

Serverless AWS Lambda Storage 283

Dynatrace

DECEMBER 15, 2022

While many organizations have embraced cloud observability to better manage their cloud environments, they may still struggle with the volume of entities that observability platforms monitor. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 182

Strategy AWS Open Source Transportation 182

All Things Distributed

DECEMBER 8, 2016

The AWS Cloud now operates in 40 Availability Zones within 15 geographic regions around the world, with seven more Availability Zones and three more regions coming online in China, France, and the U.K. ScribbleLive provides a cloud platform that media companies use to cover breaking news on their websites and engage with their audiences.

AWS 155

AWS Cloud Lambda Innovation 155

InfoQ

JUNE 26, 2023

These features are burst capacity, hierarchical partition keys, serverless container storage of 1 TB, and priority-based execution. Microsoft has recently unveiled several new features for Azure Cosmos DB to enhance cost efficiency, boost performance, and increase elasticity. By Steef-Jan Wiggers

Azure 87

Azure Serverless Performance Storage 87

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 121

Cloud Serverless AWS Storage 121

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? GCF is part of the Google Cloud Platform. How Google Cloud Functions works.

Google 224

Google Cloud Serverless Azure 224

Percona

MARCH 21, 2023

Announcement I will be speaking at Percona Live 2023 about serverless PostgreSQL. Introduction Recently, Percona introduced Percona Builds for Neon ( Introducing Percona Builds for Serverless PostgreSQL ), which makes it easy to install and experiment with serverless PostgreSQL. Interested in serverless PostgreSQL?

Serverless 127

Serverless Software Architecture Virtualization Database 127

Dynatrace

AUGUST 11, 2022

Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. The FaaS model of cloud computing debuted in 2014 with startups like hook.io.

Development 253

Development Serverless Best Practices Lambda 253

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 190

Analytics Infrastructure Storage Efficiency 190

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Container as a service is a cloud-based service that allows companies to manage and deploy containers at scale. This, in turn, drove the creation of cloud-based services that further automated this function.

Serverless 219

Serverless Azure Hardware Transportation 219

High Scalability

DECEMBER 21, 2018

It's HighScalability time: Have a very scalable Xmas everyone! What could be better than a book on the cloud? Explain the Cloud Like I'm 10. swardley: X : What's going to happen in cloud in 2019? 2) Cloud will decentralise in terms of provision not power i.e. Me : Nothing special. 3) Serverless will rocket.

Internet 137

Internet Internet Scalability Serverless 137

High Scalability

OCTOBER 24, 2022

There's a move to regulate cloud providers by vertically separating the services they offer. Like railroads of yore, who were not allowed to provide freight services on top of their base services, cloud providers would not be allowed to provide services on top of their base platform services. The job of a cloud is to run workloads.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs.

Analytics 237

Analytics Artificial Intelligence Storage Serverless 237

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

High Scalability

JUNE 15, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. JoeEmison : Another thing that serverless architectures change: how do you software development. It would mean a great deal to me.

Internet 113

Internet Internet Scalability Blockchain 113

KeyCDN

FEBRUARY 22, 2023

Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. With cloud-based infrastructure, organizations can easily scale their web applications to handle increased traffic or demand without the need for expensive hardware upgrades.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. A database could start executing a storage management process that consumes database server resources.

Artificial Intelligence 180

Artificial Intelligence Metrics Architecture DevOps 180

The Morning Paper

FEBRUARY 6, 2020

Today’s paper choice is a fresh-from-the-arXivs take on serverless computing from the RISELab at Berkeley, addressing some of the limitations outlined in last year’s ‘ Berkeley view on serverless computing.’ A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.

Lambda 98

Lambda Serverless Cache Latency 98

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Amazon’s enhancements address many day-to-day challenges with running Redis. Redis and Fast Data.

Scalability 130

Scalability Analytics Cache AWS 130

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. We call this system Cosmos.

Media 171

Media Innovation Metrics Latency 171

Enprowess

JANUARY 12, 2022

Serverless Architecture. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. Serverless Architecture. Serverless architecture is the fastest-growing cloud computing paradigm nowadays. API Blueprint.

Blockchain 59

Blockchain IoT Development Serverless 59

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape.

Systems 63

Systems Cache Website Network 63