High Scalability

DECEMBER 16, 2022

This model of computing has become increasingly popular in recent years, as it offers a number of benefits, including cost savings, flexibility, scalability, and increased efficiency. This means that users only pay for the computing resources they actually use, rather than having to invest in expensive hardware and software upfront.

Cloud 201

Cloud Serverless Internet Internet 201

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. Onto the next project. Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JUNE 7, 2019

We’re happy to announce the launch of Dynatrace Synthetic private browser monitors! We continue to grow our public synthetic monitoring locations, but customers using Dynatrace Synthetic still need to monitor the performance and availability of internal web applications. Monitor your internal apps from within your offices.

Network 161

Network Monitoring Servers Hardware 161

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Easy scalability. In FaaS environments, providers manage all the hardware. Alternatively, in a CaaS model, businesses can directly access and manage containers on hardware. million in 2020.

Serverless 221

Serverless Azure Hardware Transportation 221

Dynatrace

JULY 11, 2023

By leveraging the Dynatrace Operator and Dynatrace capabilities on Red Hat OpenShift on IBM Power, customers can accelerate their modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes.

Architecture 174

Architecture Availability Infrastructure Monitoring 174

Scalegrid

DECEMBER 6, 2023

Database as a Service (DBaaS) providers are an alternative option that acts almost like going on a cruise ship: quick provisioning is facilitated by them, while scalability, support services, and flexibility benefit from pay-as-you-go models. They also come with some drawbacks—high costs and resources needed for successful management.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

MAY 14, 2020

The world’s most scalable, automatic distributed tracing pushes the boundary once again with enhanced Adaptive Load Management. A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. The new ALR algorithm gives you more precise AI answers and optimized hardware utilization.

Processing 157

Processing Hardware Traffic Storage 157

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency 147

Efficiency Storage Database Scalability 147

Apica

AUGUST 12, 2020

One of the best conversations from the event was a discussion on the five challenges enterprises need to know about testing and monitoring. The conversation included topics like scalability, automation and compliance. Below are the five challenges we discussed regarding testing and monitoring. Scalability.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Sharded time-series collections for improved scalability and performance. You should also review your hardware resources, how you use MongoDB, and any custom configurations. In MongoDB 6.x:

Best Practices 84

Best Practices Hardware Tuning Scalability 84

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. Built-in monitoring. Needs third party tools for monitoring.

Open Source 307

Open Source Traffic DevOps Cloud 307

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost. Inconsistent performance.

Cloud 169

Cloud Traffic Best Practices Strategy 169

Dotcom-Montior

MAY 12, 2020

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. HTTP monitoring allows you to test availability and performance from around the world. The list goes on and on.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dotcom-Montior

NOVEMBER 11, 2020

Serverless computing can be a huge benefit to organizations that don’t have the necessary resources or teams to manage physical resources, like servers/hardware, and all the maintenance and licensing that goes along with that, allowing them to focus on developing their code and applications. Scalability. Monitoring.

Serverless 57

Serverless Monitoring Lambda Latency 57

Dynatrace

APRIL 5, 2021

But with the benefits also come concerns about observability, and how to monitor and manage ever-expanding cloud software stacks. Lambda’s toolbox of automated processes helps developers streamline to build fast, robust, and scalable applications on accelerated timelines. How do AWS Lambda functions impact monitoring?

Lambda 184

Lambda AWS Serverless Hardware 184

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. 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

PDC

NOVEMBER 9, 2018

In such scenarios, scalability or scaling is widely used to indicate the ability of hardware and software to deliver greater computational power when the amount of resources is increased. In this post we focus on software scalability and discuss two common types of scaling. speedup = t 1 / t N.

Scalability 65

Scalability Programming Government Hardware 65

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

NOVEMBER 29, 2022

Transparency and scalability. The purpose of infrastructure as code is to enable developers or operations teams to automatically manage, monitor, and provision resources, rather than manually configure discrete hardware devices and operating systems. In response, Dynatrace introduced Monaco (Monitoring-as-code).

Infrastructure 177

Infrastructure Code Cloud DevOps 177

Dynatrace

MAY 5, 2020

In addition to automatic full-stack monitoring, Dynatrace provides comprehensive support for a wide range of AWS services. Tasks such as hardware provisioning, database setup, patching, and backups are fully automated, making Amazon RDS cost efficient and scalable. Next steps.

Design 143

Design AWS Education Innovation 143

Percona

OCTOBER 18, 2023

Flexibility and scalability Open source databases provide much greater flexibility regarding customization and configuration. Are you looking to enhance performance, improve scalability, cut expenses, or gain access to specific features you don’t currently have? Start by identifying the reasons driving the migration.

Open Source 89

Open Source Database Hardware Strategy 89

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 105

Availability Database Open Source Hardware 105

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. Monitoring and Maintaining Your Backups Regularly monitoring MySQL backups is crucial for maintaining system availability to meet Service Level Agreements (SLAs).

Best Practices 130

Best Practices Storage Strategy Database 130

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 85

Database Hardware Open Source Strategy 85

Dynatrace

OCTOBER 28, 2021

A disruption spanning hardware, networks, and cloud infrastructure can require input and participation from network and infrastructure architects, risk experts, security teams, and even procurement officers. Lack of end-to-end observability and monitoring into all systems a blast radius might affect is a common problem.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

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 77

Availability Hardware Open Source Database 77

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

Percona

JUNE 30, 2023

Kubernetes provides many benefits, such as automation and scalability, but it also introduces new complexities when it comes to managing databases. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally.

Availability 91

Availability Open Source Azure Hardware 91

Percona

JUNE 12, 2023

The immediate (working) goal and requirements of HA architecture The more immediate (and “working” goal) of an HA architecture is to bring together a combination of extensions, tools, hardware, software, etc., Failure detection : Monitoring mechanisms detect failures or issues that could lead to failures.

Architecture 93

Architecture Availability Open Source Healthcare 93

Dynatrace

DECEMBER 20, 2019

OneAgent monitors the full stack on your hosts. From mainframe to mobile, Dynatrace has the broadest technology coverage, including supported languages, application architectures, cloud, on-premise or hybrid, enterprise apps, SaaS monitoring, and more. Stop searching, find answers.

Infrastructure 134

Infrastructure Cloud Government Monitoring 134

Dynatrace

OCTOBER 26, 2020

Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. The team wanted to monitor the gaming room (to detect if it is free or not) and show the status with a Dynatrace UFO on each floor. Raspberry Pi Model 3 B.

Innovation 157

Innovation Metrics Hardware Games 157

Percona

MARCH 27, 2023

The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. This can also be seen using Percona Monitoring and Management (PMM) and checking the “MySQL overview” dashboard ->“MySQL table open cache status” graphic. While you are on 5.7,

Cache 98

Cache Hardware Servers Benchmarking 98

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). An IDS/IPS monitors network flows and matches incoming packets (or more strictly, Protocol Data Units, PDUs) against a set of rules. Increasing the amount of work we can do on a single unit.

Servers 128

Servers Hardware Latency Design 128