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. Without it, sending an email over a long distance would require the immediate availability of every node on the routing network to forward each message. A producer creates the message, and a consumer processes it.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. While this provides greater scalability than on-site instrumentation, it also introduces complexity. EC2 is ideally suited for large workloads with constant traffic.

Best Practices 211

Best Practices AWS Monitoring Serverless 211

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? s storage infrastructure. Comments ().

Storage 115

Storage AWS Virtualization Cloud 115

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

NOVEMBER 23, 2020

Nevertheless, there are related components and processes, for example, virtualization infrastructure and storage systems (see image below), that can lead to problems in your Kubernetes infrastructure. Configuring storage in Kubernetes is more complex than using a file system on your host.

Virtualization 161

Virtualization Infrastructure Monitoring Cloud 161

HammerDB

APRIL 19, 2023

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components.

Performance 54

Performance Benchmarking Cache Storage 54

ScaleOut Software

JULY 19, 2021

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. The list goes on. The Limitations of Today’s Streaming Analytics. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

All Things Distributed

DECEMBER 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. May 28 - Virtual Time and Global States of Distributed Systems , Friedemann Mattern, Parallel and Distributed Algorithms, North-Holland (1989) , p. July 20 Xen and the art of virtualization by Paul Barham, Boris Dragovic, Keir Fraser, Steven Hand, Timothy L.

Operating System 144

Operating System Cache AWS Scalability 144

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 222

Cloud Monitoring Best Practices Infrastructure 222

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Abhishek Tiwari

DECEMBER 27, 2017

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. faster access to external storage and data locality (I/O, bandwidth). optimised container networking and security. Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Dynatrace

NOVEMBER 11, 2022

More organizations are adopting a hybrid IT environment, with data center and virtualized components. Therefore, they need an environment that offers scalable computing, storage, and networking. Instead of treating storage, server, compute, and network functions as separate entities, HCI virtualizes these resources.

Infrastructure 200

Infrastructure Storage Virtualization Network 200

Adrian Cockcroft

JUNE 21, 2022

The early days at Sun Cambridge were special, I absorbed a lot about networking and the technical side of the role from my fellow systems engineer Martin Baines, and we were driving all over the region in cool company cars (I had a Citroen BX 16V) selling a really hot product. I also helped out in the run-up to the 2004 Athens Olympics.

Tuning 52

Tuning Benchmarking Engineering C++ 52

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The scalability, flexibility and the elasticity of AWS makes it an ideal environment for the agencies to run their analytics. To make use of the services in this region, customers will use the Amazon Virtual Private Cloud (VPC) to organize their AWS resources.

AWS 111

AWS Government Big Data Cloud 111

Dynatrace

MAY 8, 2023

The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases. Infrastructure monitoring Infrastructure monitoring reviews servers, storage, network connections, virtual machines, and other data center elements that support applications.

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

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. Cloud providers then manage physical hardware, virtual machines, and web server software management.

Development 250

Development Serverless Best Practices Lambda 250

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

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Instead, enterprises manage individual containers on virtual machines (VMs). Easy scalability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 218

Serverless Azure Hardware Transportation 218

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Simple Storage Service (S3).

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon Simple Storage Service (S3).

AWS 133

AWS Metrics IoT Storage 133

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. It provides the bottom line of Citrix virtual application and desktop (formerly XenApp and XenDesktop) infrastructure performance. Dynatrace news.

Latency 117

Latency Performance Virtualization Infrastructure 117

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. The importance of the network. Each of those workloads have unique requirements when it comes to the network.

AWS 144

AWS Hardware Retail Virtualization 144

Percona

AUGUST 22, 2023

Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 79

Availability Hardware Open Source Database 79

Percona

JULY 7, 2023

HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery. Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. there cannot be high availability.

Availability 84

Availability Open Source Architecture Database 84

Testsigma

OCTOBER 16, 2020

Ensuring whether the platform is reliable and scalable 5. Steps to Ensure a Safe SaaS Network Access. It is important to make sure that the basic safety precautions have been taken before adopting a SaaS network to ensure safe and secure access to the platform. Determining whether the SaaS was deployed on a safe cloud server 2.

Best Practices 81

Best Practices Virtualization Cloud Architecture 81

Percona

JUNE 22, 2023

High availability works through a combination of the following: No single point of failure (SPOF) : You must eliminate any single point of failure in the database environment, including physical or virtual hardware the database system relies on that would cause it to fail. This flexibility can be crucial in designing a scalable architecture.

Availability 109

Availability Database Open Source Hardware 109

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

Dynatrace

JANUARY 15, 2020

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. It provides the bottom line of Citrix virtual application and desktop (formerly XenApp and XenDesktop) infrastructure performance.

Latency 36

Latency Performance Virtualization Infrastructure 36

All Things Distributed

OCTOBER 2, 2017

We were pushing the limits of what was a leading commercial database at the time and were unable to sustain the availability, scalability and performance needs that our growing Amazon business demanded. We had an advanced team of database administrators and access to top experts within Oracle. million requests per second.

Internet 128

Internet Internet AWS Performance 128

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started As businesses grow and demand fluctuates, infrastructure needs to adapt.

Open Source 52

Open Source DevOps AWS Azure 52

Dynatrace

AUGUST 5, 2019

While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts. What is the network traffic going to be between services we migrate and those that have to stay in the current data center?

Cloud 31

Cloud Traffic Database Network 31

IO River

NOVEMBER 2, 2023

Terraform's declarative nature makes this adaptation straightforward.‍Consider an example where a company is running multiple virtual machines (VMs) on a cloud provider. Their expertise lies in ensuring everything runs smoothly, from servers to networks. As businesses grow and demand fluctuates, infrastructure needs to adapt.

Open Source 40

Open Source DevOps AWS Azure 40

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Also, load-balancing after membership changes must be both multi-threaded and pipelined to drive the network at maximum bandwidth. Please retry later.

Cache 40

Cache Servers Network Design 40

SQL Server According to Bob

JANUARY 11, 2020

url=/library/en-us/fileio/fs/sparse_files.asp ) ​​ on the ​​ Microsoft Developer Network ​​ (MSDN). Streams ​​ NTFS volumes ​​ enable ​​ data files to have one or more secondary storage streams.

Servers 40

Servers Cache Database Media 40