Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is a message queue?

Monitoring 193

Monitoring Serverless Programming Speed 193

Dynatrace

AUGUST 5, 2022

A message queue is a form of middleware used in software development to enable communications between services, programs, and dissimilar components, such as operating systems and communication protocols. A message queue enables the smooth flow of information to make complex systems work. What is a message queue?

Monitoring 192

Monitoring Serverless Programming Speed 192

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Where does Lambda fit in the AWS ecosystem?

Lambda 174

Lambda AWS Serverless Hardware 174

The Netflix TechBlog

JUNE 4, 2019

We were able to meaningfully improve both the predictability and performance of these containers by taking some of the CPU isolation responsibility away from the operating system and moving towards a data driven solution involving combinatorial optimization and machine learning.

Cache 251

Cache Latency Airlines Logistics 251

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 182

Analytics Artificial Intelligence Big Data Open Source 182

Scalegrid

FEBRUARY 8, 2024

Handling Large Volumes of Data Distributed storage systems employ the technique of data sharding or partitioning to handle immense quantities of information. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Such solutions also incorporate features like disaster recovery and built-in safeguards that ensure data integrity across diverse operating systems.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dotcom-Montior

NOVEMBER 27, 2018

Today’s applications are built on multiple technologies, relying on vast networks of third-party providers and CDN’s. Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. “Logging” is the practice of generating and storing logs for later analysis.

Analytics 201

Analytics Monitoring Artificial Intelligence DevOps 201

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The “scheduler” determines the placement of new containers so compute resources are used most efficiently. Networking.

Open Source 294

Open Source Traffic DevOps Cloud 294

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. It also protects your development infrastructure at scale with enterprise-grade security. Scale and manage infrastructure.

Monitoring 146

Monitoring DevOps Infrastructure Metrics 146

Dynatrace

SEPTEMBER 23, 2021

To function effectively, containers need to be able to communicate with each other and with network services. However, to be secure, containers must be properly isolated from each other and from the host system itself. Network scanners that see systems from the “outside” perspective. Network scanners.

Open Source 241

Open Source Benchmarking Best Practices Network 241

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. Container-based software isn’t tied to a platform or operating system, so IT teams can move or reconfigure processes easily. million in 2020. Process portability. Faster deployment. CaaS vs. PaaS.

Serverless 212

Serverless Azure Hardware Transportation 212

Dynatrace

MAY 31, 2021

It automates complex tasks during the container’s life cycle, such as provisioning, deployment, networking, scaling, load balancing, and more. However, these highly dynamic and distributed environments require a new approach to monitoring Kubernetes infrastructure and applications. Who manages the networking aspects?

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

OCTOBER 17, 2019

And, this is even more apparent due to the ever-increasing infrastructure complexity enterprises are dealing with. Once the respective teams are on board and ready to follow these principles, the operations processes can be taken to the next level of efficiency. But to reach this, a cross-team cultural mind-shift is imperative.

Code 107

Code Infrastructure DevOps Serverless 107

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. What sets Dynatrace apart?

Artificial Intelligence 178

Artificial Intelligence Social Media Monitoring IoT 178

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dotcom-Montior

OCTOBER 19, 2021

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. Now, developers and SREs can provision infrastructure on demand. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Source: FileFlex. Cost-Saver.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Improved infrastructure utilization. What does APM stand for?

Monitoring 147

Monitoring Mobile Social Media Artificial Intelligence 147

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Do you have a database?

Systems 74

Systems Monitoring Hardware Network 74

Dotcom-Montior

FEBRUARY 19, 2022

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. Now, developers and SREs can provision infrastructure on demand. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Testsigma

SEPTEMBER 4, 2021

From game development to machine learning projects to neural networks to automation testing- everything is on the cloud. If there are people who can lend you extraordinary infrastructures, tools, and high-performance servers, you should take advantage of them for the project. Cloud technology is almost everywhere today.

Cloud 52

Cloud Testing Infrastructure Testing Tools 52

Dynatrace

APRIL 15, 2024

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. The importance of critical infrastructure and services While digital government is necessary, protecting critical infrastructure and services is equally important.

Infrastructure 202

Infrastructure Efficiency Government Transportation 202

All Things Distributed

MARCH 11, 2016

Failures are a given and everything will eventually fail over time: from routers to hard disks, from operating systems to memory units corrupting TCP packets, from transient errors to permanent failures. 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

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. a joint presentation including customer experiences, multi-region networking technology, and a section by me based on the previous blog post on failure modes.

Open Source 40

Open Source AWS Lambda Serverless 40

Adrian Cockcroft

NOVEMBER 18, 2019

AWS Developer Relations on how the shift from Robot Operating System (ROS) 1 to ROS 2 will change the landscape for all robot lovers. a joint presentation including customer experiences, multi-region networking technology, and a section by me based on the previous blog post on failure modes.

Open Source 40

Open Source AWS Lambda Serverless 40

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

MARCH 1, 2020

Firekube exists because none of the existing alternatives (virtualisation, containers or language-specific vms) met the combined needs of multi-tenant efficiency and strong isolation in the AWS environment. This tradeoff is unacceptable to public infrastructure providers, who need both strong security and minimal overhead.

Serverless 101

Serverless Virtualization Lambda AWS 101

O'Reilly Software

APRIL 4, 2018

A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. When we work on a single machine, the operating system takes care of managing the resources allocated to applications.

Architecture 80

Architecture Scalability Google Operating System 80

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

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Autonomous Test Automation. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Infrastructure Optimization. What Infrastructure Do You Use? Which languages do you use to develop your system? What operating systems do you use?

Architecture 52

Architecture Cache Azure Storage 52