Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Here are a few of the most popular. Amazon EC2.

Best Practices 224

Best Practices AWS Monitoring Serverless 224

All Things Distributed

JUNE 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 96

Lambda Serverless AWS Architecture 96

All Things Distributed

MAY 10, 2016

I see a tremendous interest in examples how to build such applications, and articles such as " The Serverless Start-Up - Down With Servers! If you are looking for more examples there are the Lambda Serverless Reference Architectures that can serve as the blueprint for building your own serverless applications. about teletext.io

Lambda 98

Lambda Serverless AWS Architecture 98

Dynatrace

JANUARY 11, 2023

This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications.

Cloud 234

Cloud Monitoring Best Practices Infrastructure 234

High Scalability

JUNE 15, 2018

JoeEmison : Another thing that serverless architectures change: how do you software development. Don't miss all that the Internet has to say on Scalability, click below and become eventually consistent with all scalability knowledge (which means this post has many more items to read so please keep on reading). Hungry for more?

Internet 113

Internet Internet Scalability Blockchain 113

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Seamless integration.

Analytics 201

Analytics Infrastructure Storage Architecture 201

Percona

FEBRUARY 24, 2023

Benefits of Graviton2 Processors Best price performance for a broad range of workloads Extensive software support Enhanced security for cloud applications Available with managed AWS services Best performance per watt of energy used in Amazon EC2 Storage Continuing with the AWS example, choosing the right storage option will be key to performance.

Cloud 124

Cloud Serverless AWS Storage 124

High Scalability

JUNE 22, 2018

Xtracerx : for me the biggest value to serverless functions is how nicely they tie in to the ecosystem of a cloud provider. using them to respond to storage events on s3 or database events or auth events is super easy and powerful. Three major roadmap updates in 29 days with serious spec changes, and it got worse from there.

Internet 113

Internet Internet Scalability Artificial Intelligence 113

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. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 233

Google Cloud Serverless Azure 233

KeyCDN

FEBRUARY 22, 2023

Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability. Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

Infrastructure 214

Infrastructure Monitoring Virtualization Serverless 214

Dynatrace

JULY 29, 2021

How can we optimize for performance and scalability? Examples of specific domain knowledge where extended topology is used include the representation of concepts like Kubernetes or serverless functions in Dynatrace. Common questions include: Where do bottlenecks occur in our architecture? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246

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 86

Azure Serverless Performance Storage 86

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.

Scalability 117

Scalability Cache Analytics AWS 117

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication.

Analytics 200

Analytics Systems DevOps Healthcare 200

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. They may be requests, replies, error messages, or information needed for logging or tracing.

Monitoring 213

Monitoring Programming Serverless Speed 213

Dynatrace

AUGUST 5, 2022

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. As a result of persistent queues, a system benefits from improved performance, reliability, and scalability. They may be requests, replies, error messages, or information needed for logging or tracing.

Monitoring 213

Monitoring Programming Serverless Speed 213

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Aurora Features High Performance and Scalability Amazon Aurora has gained widespread recognition for its exceptional performance and scalability, making it an ideal solution for handling demanding workloads.

AWS 52

AWS Database Serverless Storage 52

Dynatrace

DECEMBER 15, 2022

While engaging the automatic instrumentation of the Dynatrace OneAgent makes log ingestion automatic and scalable , our customers have set up multiple other log ingestion methods. Fluentd is known for its flexibility and is also highly scalable, which makes it a good choice for high-volume environments.

Strategy 193

Strategy AWS Open Source Transportation 193

Dynatrace

JANUARY 23, 2024

Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations. Edge computing brings compute and data storage closer to where data is generated to help reduce costs, boost performance, and improve customer experience.

Performance 199

Performance DevOps Innovation Artificial Intelligence 199

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A database could start executing a storage management process that consumes database server resources. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 190

Artificial Intelligence Metrics Architecture DevOps 190

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.

Serverless 98

Serverless Lambda Cache Latency 98

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

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.

Media 175

Media Innovation Metrics Latency 175

The Morning Paper

AUGUST 29, 2019

We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. Serverless o?erings Key findings. Query restrictions. Query performance. “ Data compatibility.

Architecture 76

Architecture Cloud Storage Serverless 76

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. AI-powered Chatbots.

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

Percona

DECEMBER 27, 2023

The goal is to collaboratively develop tools and programs facilitating open development and run scalable and distributed training jobs for popular frameworks such as PyTorch, TensorFlow, MPI, MXNet, PaddlePaddle, and XGBoost. This fully automated scaling and tuning will enable a serverless-like experience in our Operators and Everest.

Cloud 85

Cloud Open Source Strategy Best Practices 85

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Access to secure, scalable, low-cost AWS infrastructure in Canada allows customers to innovate and provide tools to meet privacy, sovereignty, and compliance requirements. Scalability.

AWS 145

AWS Cloud Lambda Innovation 145

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 115

Lambda Cloud IoT AWS 115

High Scalability

OCTOBER 24, 2022

What it means to be cloud-native has gone through several evolutions: VM to container to serverless. Does anyone really want to go back to the VM-centric days when we rolled everything ourselves? Each cloud-native evolution is about using the hardware more efficiently.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

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. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63