Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services. What is cloud migration?

Cloud 165

Cloud Traffic Best Practices Strategy 165

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. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

OCTOBER 28, 2021

The many disaster scenarios and outcomes allow chaos engineers to better model what happens to applications and microservices, which gives them increasing intelligence to share with developers to perfect software and cloud-native infrastructure. The history of chaos engineering. Netflix pioneered chaos engineering out of necessity.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199

Percona

DECEMBER 27, 2023

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 83

Cloud Open Source Strategy Best Practices 83

ACM Sigarch

AUGUST 3, 2023

Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. The differences across vendors and processes are increasingly well tracked as the community is starting to build carbon quantification tools for embodied carbon, e.g., Greenchip , ACT and IMEC SSTS. Chien’s argument: It costs only $1.4B

Energy 98

Energy Architecture Hardware Metrics 98

The Netflix TechBlog

JUNE 4, 2019

Its goal is to assign running processes to time slices of the CPU in a “fair” way. The idea CFS operates by very frequently (every few microseconds) applying a set of heuristics which encapsulate a general concept of best practices around CPU hardware use. In Linux, the current mainstream solution is CFS (Completely Fair Scheduler).

Cache 251

Cache Latency Airlines Logistics 251

The Morning Paper

MARCH 8, 2020

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) joins) during query processing. The queries also require varying amounts of intermediate data to be processed during their execution.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

Serverless 243

Serverless Efficiency Lambda Azure 243

Dotcom-Montior

DECEMBER 8, 2021

Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation. ITSM is the policies, processes, and structure behind the lifecycle of IT services. Incident Management Lifecyle: Process and Steps. Service Desk.

Social Media 90

Social Media Monitoring Latency DevOps 90

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. The security and data storage infrastructure has to meet certain security compliances and standards; only then, the infrastructure is good to go for testing. to meet those requirements.

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

JULY 25, 2020

Continuous Testing is the process of testing at all stages of software development – one after the other – without any human intervention. Prior to the DevOps world, releasing even a small change in the product would require a fixed elongated time and process before it could reach the users. What is Continuous Testing?

Testing 55

Testing DevOps Performance Testing Infrastructure 55

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. This process effectively duplicates essential parts of information to safeguard against potential loss.

Storage 130

Storage Systems Big Data Azure 130

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. Another adtech infrastructure problem is capacity. Header bidding and other programmatic advertising developments will multiply the impressions DSPs and SSPs need to process, going from hundreds of billions to trillions.

Performance 40

Performance Hardware Latency Infrastructure 40

VoltDB

JUNE 29, 2017

Most existing adtech infrastructure simply can not achieve the required latency. Another adtech infrastructure problem is capacity. Header bidding and other programmatic advertising developments will multiply the impressions DSPs and SSPs need to process, going from hundreds of billions to trillions.

Performance 40

Performance Hardware Latency Infrastructure 40

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. Total Cost of Ownership. This option offers 72% savings over the on-premises option. t need them.

AWS 118

AWS Hardware Traffic Best Practices 118

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. With Testsigma, the test automation for web, mobile and APIs happens from the same place and with the same ease and efficiency. Cloud testing helps an organization gain competitiveness by reducing the cost of testing.

Cloud 59

Cloud Testing Mobile Scalability 59

All Things Distributed

DECEMBER 20, 2017

The benefit for customers: Authorized users can view this data and therefore manage their inventories across different sites, making the maintenance processes much more efficient. We need mechanisms that enable the mass production of data using software and hardware capabilities. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. In this scenario, two notable models – multi-cloud and hybrid cloud have emerged. But what do these entail? What is Multi-Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

All Things Distributed

SEPTEMBER 4, 2017

And thirdly, an "algorithmic revolution" has taken place, meaning it is now possible to train trillions of algorithms simultaneously, making the whole machine learning process much faster. Decisive is the openness of the layers and the reliable availability of the infrastructure.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

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. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

KeyCDN

AUGUST 15, 2019

You may discover that your application’s performance issues are due to CPU or bandwidth limitations, so you’ll need to reallocate some resources or invest in a more robust infrastructure. Measurements refer to specific data points, such as the number of seconds it takes to process a request. What’s the difference?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Percona

NOVEMBER 9, 2023

It simplifies infrastructure management and is the driving force behind many cloud-native applications and services. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. Because of this flexibility, businesses may choose the infrastructure that best meets their needs.

Efficiency 106

Efficiency Cloud Healthcare Open Source 106

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up.

Database 130

Database Cloud Hardware Storage 130

Dotcom-Montior

NOVEMBER 27, 2018

LoadView – Best Practices and Process. It helps assess how a site, web application, or API will respond to various traffic, without adding any additional infrastructure. Response times, quality, and availability are critical factors that need to be assessed before pushing applications into production.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dynatrace

NOVEMBER 3, 2022

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. With the significant growth of container management software and services, enterprises need to find ways to simplify the process. Process portability. In FaaS environments, providers manage all the hardware.

Serverless 218

Serverless Azure Hardware Transportation 218

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 170

Architecture Availability Infrastructure Metrics 170

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

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. Having MySQL backups for your database can speed up and simplify the recovery process.

Best Practices 130

Best Practices Storage Strategy Database 130

Dynatrace

OCTOBER 7, 2021

Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Improving data processing. Boosting batch processing. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 280

Serverless AWS Lambda Storage 280

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 96

Open Source Database Hardware Strategy 96

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18