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

FEBRUARY 2, 2022

Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

Azure 319

Azure Availability Hardware Innovation 319

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Computer operations manages the physical location of the servers — cooling, electricity, and backups — and monitors and responds to alerts.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

Availability 244

Availability Hardware Latency Traffic 244

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. The biggest drawbacks are that a full backup can be time-consuming, and they require a significant amount of storage space.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

DECEMBER 8, 2021

Many customers try to use traditional tools to monitor and observe modern software stacks, but they struggle to deal with the dynamic and changing nature of cloud environments. When an application runs on a single large computing element, a single operating system can monitor every aspect of the system.

Cloud 223

Cloud Serverless Hardware Operating System 223

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Dynatrace

SEPTEMBER 15, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for all AWS services that publish metrics to Amazon CloudWatch, providing advanced observability for dynamic hybrid clouds. It differentiates Dynatrace as an AWS Partner Network (APN) member with a fully tested product on AWS Outposts. “We

AWS 198

AWS Design Storage Cloud 198

Dynatrace

NOVEMBER 3, 2022

IaaS provides direct access to compute resources such as servers, storage, and networks. In FaaS environments, providers manage all the hardware. Alternatively, in a CaaS model, businesses can directly access and manage containers on hardware. CaaS vs. FaaS. Choosing the right CaaS provider for your business.

Serverless 216

Serverless Azure Hardware Transportation 216

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 90

Database Hardware Open Source Strategy 90

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

NOVEMBER 11, 2020

Deployment performs the whole rollout, instrumentation, configuration, connection, and automatic detection of monitored entities in your environment. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Advanced customization of OneAgent deployments made easy.

Best Practices 193

Best Practices Storage Java Benchmarking 193

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. Network latency.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Percona

JUNE 22, 2023

A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM.

Performance 106

Performance Monitoring Traffic Database 106

Percona

FEBRUARY 24, 2023

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Marked in red in Figure 1 is a server with less than 30% of CPU usage.

Cloud 121

Cloud Serverless AWS Storage 121

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. Failure detection: Monitoring mechanisms detect failures or issues that could lead to failures. there cannot be high availability.

Availability 80

Availability Hardware Open Source Database 80

Percona

JULY 7, 2023

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. Without enough infrastructure (physical or virtualized servers, networking, etc.), there cannot be high availability. If so, what are the legal liabilities?

Availability 85

Availability Open Source Architecture Database 85

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. Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Availability 110

Availability Database Open Source Hardware 110

Percona

OCTOBER 18, 2023

Resource allocation: Personnel, hardware, time, and money The migration to open source requires careful allocation (and knowledge) of the resources available to you. Evaluating your hardware requirements is another vital aspect of resource allocation. Look closely at your current infrastructure (hardware, storage, networks, etc.)

Open Source 94

Open Source Database Hardware Strategy 94

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. The basic tier provides up to 5 DTUs with standard storage. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. vCore Pricing Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Tech News Gather

JULY 19, 2023

Otherwise, you may not be able to locate enough appropriate hardware and end up having to often switch between different programs. Hubs The hub would be the primary data collector and manager for a network of remote monitoring smart devices. This action may prevent hackers from gaining access to the network and taking it over.

Wireless 52

Wireless IoT Development Internet 52

The Morning Paper

OCTOBER 4, 2020

The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 The 5G network is operating at 3.5GHz). The maximum physical layer bit-rate for the 5G network is 1200.98 The short answer is no. 5G Coverage.

Energy 130

Energy Latency Performance Network 130

Percona

APRIL 17, 2023

It is recommended to lower this setting and monitor the impact on query performance and disk IO. Network stack Several defaults of the Linux kernel network tunings are either not optimal for MongoDB, limit a typical host with 1000mbps network interfaces (or better), or cause unpredictable behavior with routers and load balancers.

Best Practices 52

Best Practices Design Tuning Database 52

Dotcom-Montior

OCTOBER 6, 2021

trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Monitoring. One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project. Availability. Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. To make this process work more efficiently and ensure a smooth failover, it is important to have the same hardware configuration on all the nodes of the replica set. MongoDB is popular with developers as it is easy to get started with.

Database 81

Database Servers Storage Strategy 81

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Different hardware architectures (CPUs, GPUs, TPUs, FPGAs, ASICs, …) offer different performance and cost trade-offs.

Hardware 58

Hardware Latency Serverless Energy 58

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

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. that a lot of people used.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Abhishek Tiwari

DECEMBER 27, 2017

faster access to external storage and data locality (I/O, bandwidth). optimised container networking and security. support for logging, monitoring, and observability. Storage provisioning. But Kubernetes storage is evolving quite quickly. distributed stateful data workloads (Zookeeper, Cassandra).

Big Data 63

Big Data Storage Benchmarking Hardware 63

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

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Isolated parts of the database can serve read/write requests in case of network partition. To prevent conflicts, a database must sacrifice availability in case of network partitioning and stop all but one partition.

Database 213

Database Latency C++ Scalability 213

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. Vitaly Friedman. Quick Wins.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. Getting Ready: Planning And Metrics.

Performance 145

Performance Cache Network Metrics 145

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 52

Latency Engineering Systems Hardware 52

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Good for describing the user experience and monitoring, not so good for knowing what happens between the milestones. Getting Ready: Planning And Metrics. Setting Realistic Goals. Assets Optimizations.

Performance 103

Performance Cache Metrics Network 103

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 53

Latency Engineering Systems Hardware 53