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 195

Monitoring Serverless Programming Speed 195

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. If a user encounters an error page on a website, for example, it’s vital to trace the behavior to the original source of failure.

Best Practices 208

Best Practices AWS Monitoring Serverless 208

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

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

Dynatrace

AUGUST 28, 2020

Azure Data Lake Storage Gen1. Azure Network Interface. For this, we selected three example services: Azure Automation, Azure Data Factory, and Azure Logic Apps. Manual tasks like shutting down virtual machines in bulk or creating database backups can be error prone. Azure Logic Apps. Azure Container Instance.

Azure 153

Azure Cloud Tuning Monitoring 153

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Latency Website Virtualization 173

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

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. 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.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. 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.

Analytics 52

Analytics Airlines Cache Scalability 52

Adrian Cockcroft

APRIL 18, 2018

For each resource there’s usually an underlying or bare metal version, a virtualized resource and sometimes also a containerized resource. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads. I’ve seen problematic examples in the past.

Monitoring 40

Monitoring Systems Virtualization Metrics 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). optimised container networking and security. Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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. For example, uptime detection can identify database instability and help to improve mean time to restoration. Cloud storage monitoring. Database monitoring.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

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

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud 237

Cloud Media Storage Cache 237

The Morning Paper

APRIL 4, 2019

Such secrets are often protected by encryption in the storage. wpa_supplicant , an OSS library commonly used to connect to wireless networks using WPA , reads a cleartext password from a configuration file or network manager and stores in in memory. In doing so, the app assumes that the operating system (OS) is trustworthy.

Operating System 43

Operating System Systems Wireless Transportation 43

Dynatrace

JUNE 1, 2023

But how do you get started, and what are some service level objective examples? In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider. Five example SLOs for faster, more reliable apps 1. For example, a user might expect a response time of one second or less.

Latency 174

Latency Website Traffic Virtualization 174

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. To make use of the services in this region, customers will use the Amazon Virtual Private Cloud (VPC) to organize their AWS resources. More information.

AWS 111

AWS Government Big Data Cloud 111

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. Some example services seen in the real world include codebeautify.org, webaim.org, and jsonformatter.org. Ken Harker. Large preview ).

Website 89

Website Analytics Google Cache 89

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. Microsoft currently has eight main types of virtual machines designed for different types of workloads. Azure VM Types and Series.

Azure 72

Azure Virtualization Servers Storage 72

Scalegrid

JULY 8, 2019

A good example would be slow query analysis. Azure Virtual Networks. Azure makes this easy to setup through the use of a Virtual Network (VNET) which can be configured for your MySQL servers. The best way to protect your database from the internet is by deploying it in a private subnet to ensure it is not exposed.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

AUGUST 11, 2022

Cloud providers then manage physical hardware, virtual machines, and web server software management. Infrastructure as a service (IaaS) handles compute, storage, and network resources. Consider a monolithic application, for example, designed to perform a host of functions. But how does FaaS fit in?

Development 247

Development Serverless Best Practices Lambda 247

Smashing Magazine

NOVEMBER 8, 2018

In this article, I will describe this latter solution, based on a WordPress application storing files on Amazon Web Services (AWS) Simple Storage Service (S3) (a cloud object storage solution to store and retrieve data), operating through the AWS SDK. Creating The Bucket. Large preview ). Large preview ). Conclusion.

AWS 44

AWS Servers Storage Cloud 44

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Dynatrace VMware and virtualization documentation . Further reading about infrastructure monitoring: Explore and analyze Amazon CloudWatch synthetics data in Dynatrace .

Analytics 237

Analytics Infrastructure AWS Operating System 237

Smashing Magazine

MARCH 28, 2019

For example: An underpowered hosting plan fails to handle influxes of traffic, which leads to slower page speeds and a drop in conversion rates. This is really only best for large enterprises, social networks, e-commerce sites and others that require this type of extreme web hosting. This stands for “virtual private server”.

Website 48

Website Servers Design Traffic 48

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 an example, for a completely new pipeline, we can't be sure if x% drop in data processing is an anomaly or an expected behaviour.

Latency 63

Latency Analytics Scalability Engineering 63

Dynatrace

NOVEMBER 3, 2022

Instead, enterprises manage individual containers on virtual machines (VMs). IaaS provides direct access to compute resources such as servers, storage, and networks. For example, some platforms use Kubernetes, while others use Docker or Apache Mesos to handle container deployment, scaling, reporting, and management.

Serverless 216

Serverless Azure Hardware Transportation 216

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. Amazon Simple Storage Service (S3). You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news.

AWS 135

AWS Metrics IoT Storage 135

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. Amazon Simple Storage Service (S3). You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news.

AWS 132

AWS Metrics IoT Storage 132

Dynatrace

AUGUST 24, 2020

But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Dynatrace VMware and virtualization documentation . Further reading about infrastructure monitoring: . OneAgent and its Operator . Kubernetes integration.

Analytics 134

Analytics Infrastructure AWS Operating System 134

IO River

NOVEMBER 2, 2023

This is where a well-architected Content Delivery Network (CDN) shines. The goal is to boost the pitfalls of network disruptions and vendor dependencies, all while pocketing cost savings. This way, even if a user desires to watch in 4K but lacks the necessary network resources, HLS steps in to offer a lower-quality version.

Architecture 52

Architecture Performance Internet Internet 52

HammerDB

DECEMBER 14, 2022

This image includes example scripts to build schemas and test your databases with a single command. In this post, we will show an example of using Docker to deploy the HammerDB command line and test a database with minimal effort. and the test will run with the number of Virtual Users equivalent to the number of CPUs.

C++ 62

C++ Virtualization Database Benchmarking 62

Percona

SEPTEMBER 1, 2023

Web applications rely on databases to run the internet, powering everything from e-commerce platforms to social media networks to streaming services. Character encoding refers to the method used to represent characters as binary data for storage and transmission.

Performance 52

Performance Storage Social Media Database 52

All Things Distributed

MARCH 11, 2016

This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. 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

Streaming services, for example, run mission-critical systems in which excessive downtime could result in significant financial and reputational losses for the business. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability.

Availability 82

Availability Hardware Open Source Database 82

Dynatrace

OCTOBER 17, 2019

While BOSH is platform agnostic, it’s the standard vehicle for rolling out and managing Cloud Foundry on virtualized infrastructure, across cloud providers. Supporting native BOSH packaging and immutable OneAgent releases are prime examples of Dynatrace leadership in monitoring and observability for Cloud Foundry.

Cloud 102

Cloud Virtualization Internet Internet 102

IO River

NOVEMBER 2, 2023

This is where a well-architected Content Delivery Network (CDN) shines. Â The goal is to boost the pitfalls of network disruptions and vendor dependencies, all while pocketing cost savings. This way, even if a user desires to watch in 4K but lacks the necessary network resources, HLS steps in to offer a lower-quality version.

Architecture 52

Architecture Performance Internet Internet 52

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 87

Availability Open Source Architecture Database 87