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

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. To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code.

Best Practices 220

Best Practices AWS Monitoring Serverless 220

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

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications. In what follows, we explore these key cloud observability trends in 2024.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

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 164

Virtualization Infrastructure Monitoring Cloud 164

Percona

MARCH 17, 2023

But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment. PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 99

Monitoring Scalability Cache Database 99

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. 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. For storage, FIO is generally used.

Performance 54

Performance Benchmarking Cache Storage 54

Testsigma

JULY 3, 2021

From the maintenance and monitoring of the machines and software to upgrading and installations — you’ll need all hands on deck. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

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 post The Need for Real-Time Device Tracking appeared first on ScaleOut Software. 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. To address these challenges, ScaleOut Software has introduced ScaleOut StateServer Pro , an advanced version of ScaleOut StateServer that integrates data analytics within the IMDG.

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. To address these challenges, ScaleOut Software has introduced ScaleOut StateServer Pro , an advanced version of ScaleOut StateServer that integrates data analytics within the IMDG.

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

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Additionally because the number of Virtual Users is lower for the HammerDB default mode (see below for alternatives) each Virtual User will choose a home warehouse at random.

C++ 40

C++ Benchmarking Virtualization Open Source 40

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). Storage provisioning. But Kubernetes storage is evolving quite quickly.

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 210

Infrastructure Storage Virtualization Network 210

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

Dynatrace

JANUARY 11, 2023

With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent. Cloud storage monitoring. Teams can keep track of storage resources and processes that are provisioned to virtual machines, services, databases, and applications. Virtual machine (VM) monitoring.

Cloud 231

Cloud Monitoring Best Practices Infrastructure 231

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

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 260

Development Serverless Best Practices Lambda 260

Dynatrace

MAY 8, 2023

In fact, the Dynatrace 2023 CIO Report found that 78% of respondents deploy software updates every 12 hours or less. This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. 54% reported deploying updates every two hours or less.

DevOps 228

DevOps Efficiency Monitoring Infrastructure 228

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. In fact, according to a Gartner forecast , revenue for global container management software and services will reach $944 million in 2024 — up from $465.8 Easy scalability. million in 2020. CaaS vs. IaaS.

Serverless 225

Serverless Azure Hardware Transportation 225

Percona

MAY 15, 2023

In both cases, when using virtually-synchronous replication, the process will require certification from each node and local (by node) write; as such, the number of writes is NOT distributed across multiple nodes but duplicated. As well, very few cases are in need to have a full system/solution to provide scalability with sharding.

Traffic 124

Traffic Scalability Database Servers 124

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

MARCH 21, 2023

Tenants Multi-tenancy is a software architecture pattern where a single instance of a software application serves multiple tenants, allowing them to share resources like storage, processing power, and memory while maintaining separate, secure access to their respective data.

Serverless 124

Serverless Software Architecture Virtualization Database 124

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

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . CPUs which need to have their frequency coordinated by software: 0 .

Best Practices 40

Best Practices Scalability Performance C++ 40

Percona

JULY 7, 2023

Unfortunately, using certain open source database software as part of an HA architecture can present significant challenges. Despite all its upside, PostgreSQL software presents such challenges. HA in PostgreSQL databases delivers virtually continuous availability, fault tolerance, and disaster recovery.

Availability 84

Availability Open Source Architecture Database 84

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 80

Availability Hardware Open Source Database 80

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. It also supports the flexibility and scalability of the database infrastructure.

Availability 108

Availability Database Open Source Hardware 108

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 epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Build evolvable systems.

AWS 144

AWS Hardware Retail Virtualization 144

Testsigma

OCTOBER 16, 2020

SaaS (software as a service) which is one of the most popular forms of cloud computing has completely revolutionized the world of cloud computing as it is being adopted by a majority of the IT organizations to modernize their IT structure. But one question which still haunts most of the big software enterprises is: Is SaaS Really Safe?

Best Practices 81

Best Practices Virtualization Cloud Architecture 81

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. Dynatrace is naturally suited to address these requirements with its automatic and AI-powered full-stack software intelligence platform. Dynatrace news.

Latency 119

Latency Performance Virtualization Infrastructure 119

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

Percona

SEPTEMBER 1, 2023

Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. 3) Storage engine limitations There are a few storage engine limitations that can be a bottleneck in your use case.

Best Practices 72

Best Practices Traffic Database Servers 72

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. Dynatrace is naturally suited to address these requirements with its automatic and AI-powered full-stack software intelligence platform. Image callout numbers.

Latency 37

Latency Performance Virtualization Infrastructure 37

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40