Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 239

Retail Storage Best Practices Architecture 239

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem. Where does VoltDB come in?

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. The post Scalable MicroService Architecture appeared first on VoltDB. Real-World Example Problem. Where does VoltDB come in?

Architecture 40

Architecture Scalability Ecommerce Latency 40

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

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. But there are cases where you might be limited in setting up a dedicated syslog server with OneAgent because of environment architecture or resources.

Strategy 182

Strategy AWS Open Source Transportation 182

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

FEBRUARY 10, 2023

From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. What is IT automation?

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

DECEMBER 16, 2022

But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources. Learn more about the Dynatrace platform and its Cloud Done Right architecture. Automation at scale.

Innovation 199

Innovation Software Software Cloud 199

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Cloud observability is central to platform engineering The uptick in digital transformation initiatives has created a drive for scalability among global organizations. What is platform engineering?

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

OCTOBER 17, 2016

In the remainder of 2016 and inq 2017, we will launch another four AWS regions in Canada, China, the United Kingdom, and France, adding another nine AZs to our global infrastructure footprint. The Ohio Region launches with three AZs so that customers can create high-availability environments and architect for fault tolerance and scalability.

AWS 127

AWS Cloud Infrastructure Analytics 127

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy.

Cloud 81

Cloud Open Source Strategy Best Practices 81

All Things Distributed

DECEMBER 8, 2016

Earlier this year, Amazon Web Services (AWS) announced it would launch a new AWS infrastructure region in Montreal, Quebec. Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Scalability. in the coming year. Performance.

AWS 155

AWS Cloud Lambda Innovation 155

Percona

AUGUST 17, 2023

PostgreSQL has powerful and advanced features, including asynchronous replication, full-text searches of the database, and native support for JSON-style storage, key-value storage, and XML. Percona makes PostgreSQL work out of the box for enterprise infrastructure, empowering you to innovate freely.

Open Source 80

Open Source Healthcare Social Media Database 80

Dynatrace

DECEMBER 5, 2023

Without observability, the benefits of ARM are lost Over the last decade and a half, a new wave of computer architecture has overtaken the world. ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use.

Efficiency 268

Efficiency Architecture Energy Monitoring 268

The Netflix TechBlog

MAY 21, 2019

Solution We built a system called Lerner that consists of a set of microservices and a python library that allows scalable agent training and inference for test case scheduling. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. That’s where hyperconverged infrastructure, or HCI, comes in. What is hyperconverged infrastructure? For organizations managing a hybrid cloud infrastructure , HCI has become a go-to strategy.

Infrastructure 203

Infrastructure Storage Virtualization Network 203

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

O'Reilly Software

MARCH 8, 2018

Why increased agility—the ability to build applications that are more resilient and scalable—is the primary business case for running stateful services on container platforms. Knaup and Rao offer their advice on how organizations should start if they’re interested in incorporating containerized stateful services into their architectures.

Storage 61

Storage Infrastructure Scalability Architecture 61

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Scalegrid

JANUARY 8, 2024

Key Takeaways Multi-cloud involves using services from multiple cloud providers to gain flexibility and reduce vendor lock-in, while hybrid cloud combines private and public cloud resources to balance control and scalability. What is Multi-Cloud? But what is the purpose behind this model?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 283

Serverless AWS Lambda Storage 283

O'Reilly Software

JUNE 12, 2018

In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it. As I expanded upon in my book, Building Microservices , a shared database creates a huge coupling point in your architecture.

Database 72

Database Cache Architecture Latency 72

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

Uber Engineering

FEBRUARY 22, 2018

In 2014, Uber Engineering built Schemaless , our fault-tolerant and scalable datastore, to facilitate the rapid growth of our company. For context, we deployed more than 40 Schemaless instances and many thousands of storage nodes in 2016 alone.

Code 94

Code Storage Scalability Engineering 94

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. This decoupling ensures the openness of data and storage formats, while also preserving data in context.

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

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. FaaS vs. monolithic architectures. But what is FaaS? What is FaaS? But how does FaaS fit in?

Development 253

Development Serverless Best Practices Lambda 253

All Things Distributed

SEPTEMBER 6, 2013

Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 130

Cloud Energy AWS Healthcare 130

High Scalability

NOVEMBER 14, 2018

New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime.

Design 54

Design Education Google Internet 54

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. 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

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Cloud 119

Cloud AWS Automotive Latency 119

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. As mentioned before, most of data pipelines are not stateless which means scalability is not given a thing.

Latency 63

Latency Analytics Scalability Engineering 63

Tasktop

MARCH 16, 2021

roles to build a solution for just one product value stream, as well as laying the architectural foundations to scale across multiple value streams in your portfolio. Data Architect: Designs the data acquisition, storage and optimization to support. Infrastructure Costs. The same goes for your IT infrastructure.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Scalegrid

DECEMBER 6, 2023

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. Thereby streamlining their database infrastructure without any major complications or stress accompanying doing the same effectively resulting in fewer worries when setting out sail onboard!

Database 130

Database Cloud Hardware Storage 130