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. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud 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

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

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

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Percona

DECEMBER 27, 2023

Most organizations are embracing DevSecOps, a term that covers processes and tooling enabling security to be integrated into the application development life cycle rather than treated as a separate process. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Dynatrace

OCTOBER 28, 2021

The discoveries form inputs into the software development and delivery process, so new software and microservices will better stand up to unforeseeable events. Greater innovation and collaboration from development and SRE teams means better software that meets new customer demands quickly with efficiency and high performance.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

ACM Sigarch

APRIL 26, 2018

APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. APU: Accelerated Processing Unit is the AMD’s Fusion architecture that integrates both CPU and GPU on the same die. BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

The Morning Paper

NOVEMBER 5, 2019

Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. It should offer high bandwidth, horizontal scalability, fault tolerance, and strong consistency. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

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

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

DZone

AUGUST 16, 2019

In this article, we explain why you should pay attention to when building a scalable application. What Is Application Scalability? Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM).

Scalability 145

Scalability Efficiency Hardware Software 145

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. Scalable – reduce or expand according to your needs. Testsigma is highly scalable.

Cloud 59

Cloud Testing Mobile Scalability 59

Testsigma

JULY 3, 2021

More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. For certain situations that don’t require scalability, on-premise testing can be cost-effective. . Honestly, this is not time-effective at all if you’re aiming for efficiency and speed.

Cloud 57

Cloud Testing Storage DevOps 57

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. What is Hybrid Cloud?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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

KeyCDN

AUGUST 15, 2019

Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. Bottlenecks are just one of many problems that can occur when your website isn’t scalable. Memory utilization: The amount of memory required to process a request.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

All Things Distributed

AUGUST 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed.

AWS 118

AWS Hardware Traffic Best Practices 118

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.

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. This includes being able to select the right hardware options for the job, enforcing desired safety measures, and having access to a variety of database software.

Database 130

Database Cloud Hardware Storage 130

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. In this section, we’ll outline the essential steps involved in migrating to open source databases.

Open Source 96

Open Source Database Hardware Strategy 96

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. Scalability. Finally, there’s scalability. Serverless architecture offers several benefits for enterprises. Simplicity.

Serverless 280

Serverless AWS Lambda Storage 280

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

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

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. Easy scalability. Process portability. million in 2020.

Serverless 218

Serverless Azure Hardware Transportation 218

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. This reduces the risk of simultaneous damage or theft affecting the original data and backups.

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 91

Database Hardware Open Source Strategy 91

Testsigma

JANUARY 30, 2021

Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. To make mobile web testing successful and efficient, it is always good to follow the mentioned practices. Best Practices For Mobile Website Testing.

Mobile 52

Mobile Testing Website Internet 52

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. speedup = 1/ s = 20).

Scalability 65

Scalability Programming Government Hardware 65

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

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

Scalability 159

Scalability Hardware AWS Tuning 159

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. Titus internally employs a cellular bulkhead architecture for scalability, so the fleet is composed of multiple cells. We do this for reliability, scalability, and efficiency reasons.

Media 286

Media Metrics Systems Processing 286

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Key features Multi-table storage : Unlike file-per-table tablespaces, which store each table in a separate file, general tablespaces can house numerous tables, enhancing storage efficiency.

Storage 91

Storage Engineering Database Hardware 91

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 28, 2020

This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort. AppMon is still the best-in-class second-generation APM solution, but it requires you to instrument each process manually and pick the corresponding agent technology.

Monitoring 146

Monitoring Systems Infrastructure Cloud 146