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. Grail enables 100% precision insights into all stored data.

Analytics 184

Analytics Infrastructure Storage Efficiency 184

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 218

Google Cloud Serverless Azure 218

KeyCDN

FEBRUARY 22, 2023

Each of these platforms offers a wide range of services and tools for web application development and deployment, including storage, databases, and serverless computing. Serverless architecture Following the cloud-based development and deployment trend described above, we come to the serverless architecture trend.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 195

Monitoring Serverless Programming Speed 195

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 175

Artificial Intelligence Metrics Architecture DevOps 175

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

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. This fully automated scaling and tuning will enable a serverless-like experience in our Operators and Everest.

Cloud 82

Cloud Open Source Strategy Best Practices 82

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Enprowess

JANUARY 12, 2022

Serverless Architecture. Convenient Debugging : Debugging process is easy for the developers as single page application SPA offer developers tools. Other benefits: It has other benefits like a Quicker launch to the market, Easier distribution, saving device power and storage, seamless maintenance, and updating. API Blueprint.

Blockchain 59

Blockchain IoT Development Serverless 59

The Netflix TechBlog

NOVEMBER 2, 2021

This system is responsible for processing incoming media files, such as video, audio and subtitles, and making them playable on the streaming service. There is an external-facing API layer (Optimus), a rule-based video quality workflow layer (Plato) and a serverless compute layer (Stratum). A simplified trace graph from Nirvana.

Media 171

Media Innovation Metrics Latency 171

High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? JoeEmison : Another thing that serverless architectures change: how do you software development.

Internet 113

Internet Internet Scalability Blockchain 113

The Morning Paper

AUGUST 29, 2019

My key takeaways as a TL;DR: Store your data in S3 Use portable data format that gives you future flexibility to process it with multiple different systems (e.g. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Serverless o?erings Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

Adrian Cockcroft

NOVEMBER 26, 2023

Yet many companies find it challenging to integrate digital technologies meaningfully into their operations, and they still rely on inefficient processes that generate unnecessary waste. In this session, SK ecoplant shares how they were able to unlock the power of digital technologies to improve natural resource management and reduce waste.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JANUARY 8, 2020

You’ll need to manually configure process-level monitoring by editing config files. That means one platform that can see everything, from the digital experience of users to the microservices that make up the application, the underlying processes, containers, and servers that it all runs on. Dynatrace is a full-stack solution.

Infrastructure 148

Infrastructure Cloud Monitoring Metrics 148

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. The Amazon Elastic File System. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database.

Scalability 130

Scalability Analytics Cache AWS 130