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. The Serverless Process.

Serverless 242

Serverless Efficiency Lambda Azure 242

Testsigma

FEBRUARY 3, 2021

Mobiles have different models, screen resolutions, operating systems, network types, hardware configurations, etc. Also, how to test the hardware of the mobile phone itself, is it supporting all the software as it should? Let us have a look at the most popular types of mobile testing for applications and hardware.

Mobile 82

Mobile Testing Hardware C++ 82

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

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 106

Performance Monitoring Traffic Database 106

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Likewise, with observability of systems that run AI models, organizations can predict and control costs, performance, and data reliability.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

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

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The motivation is not that inference will perform better inside the database, but that the database is the best place to take advantage of enterprise features (transactions, security, auditing, HA, and so on). An INSERT INTO model.

Processing 72

Processing Hardware Database Azure 72

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. This enables AIOps teams to better predict performance and security issues and improve overall IT operations.

Analytics 184

Analytics Artificial Intelligence Big Data Open Source 184

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. They use the same hardware, APIs, tools, and management controls for both the public and private clouds. After deployment, IT teams can also optimize the software and supporting hardware to ensure high performance.

Infrastructure 179

Infrastructure Cloud Azure AWS 179

Alex Russell

JANUARY 30, 2024

The usual caveats also apply: Performance is a deep and nuanced domain, and much can go wrong beyond content size and composition. How sites manage resources after-load can have a big impact on perceived performance. Until and unless teams have better data about their performance, the global baseline budget should be enforced.

Performance 90

Performance Network Mobile Speed 90

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Real-time file processing, for quickly indexing files, processing logs, and validating content. How does AWS Lambda work?

Lambda 178

Lambda AWS Serverless Hardware 178

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. High performance and mobility. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

JUNE 25, 2020

For example, in a three-node cluster, one node can go down; in a cluster with five or more nodes, two nodes can go down. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. – A Dynatrace customer, Head of Performance Engineering.

Availability 244

Availability Hardware Latency Traffic 244

The Netflix TechBlog

JANUARY 13, 2022

This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. In the future, we are looking to automate this process. One example where it can dramatically help is Spark jobs, where memory tuning is a significant challenge.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Testlodge

MARCH 12, 2024

It is the third of the four levels of testing, performed after unit and integration testing but before user acceptance testing. To help us to understand, let’s use an example. It involves performing intuitive actions that a user would perform. End-to-end tests can often include hardware.

Systems 90

Systems Testing Open Source Hardware 90

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Dynatrace

AUGUST 5, 2022

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. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 196

Monitoring Serverless Programming Speed 196

Dynatrace

AUGUST 5, 2022

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. Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them.

Monitoring 195

Monitoring Serverless Programming Speed 195

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 167

Architecture Availability Infrastructure Metrics 167

Dynatrace

APRIL 30, 2021

He joined us at Perform 2021 to share his experience, highlighting why automatic and intelligent observability and AIOps are crucial. When the site is slow, if the checkout process is not working, you might choose to buy somewhere else. SAP makes observability a first-class citizen. That’s our mission statement.

Retail 240

Retail Cloud Monitoring Hardware 240

Testsigma

DECEMBER 28, 2019

During the entire SDLC phase, there are various kinds of testing performed at different stages. Both functional and non-functional tests are executed while performing regression. Regression testing is never performed on a new module. When is Regression Testing performed? What is the Objective of Regression Testing?

Testing 53

Testing Hardware Testing Tools Strategy 53

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 163

Cloud Traffic Best Practices Strategy 163

John McCalpin

SEPTEMBER 17, 2018

Most Intel microprocessors support “HyperThreading” (Intel’s trademark for their implementation of “simultaneous multithreading”) — which allows the hardware to support (typically) two “Logical Processors” for each physical core. leaving half of the Logical Processors idle).

Hardware 40

Hardware Performance Cache Programming 40

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Alex Russell

MARCH 6, 2021

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. Poor performance has a compound effect on user expectations at an ecosystem level. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

The Morning Paper

NOVEMBER 3, 2019

An analysis of performance evolution of Linux’s core operations Ren et al., For example: “Red Hat and Suse normally required 6-18 months to optimise the performance an an upstream Linux kernel before it can be released as an enterprise distribution”, and. 14, and after that performance starts to degrade noticeably.

Performance 108

Performance Benchmarking Tuning Hardware 108

The Netflix TechBlog

JUNE 4, 2019

However, the key insight here is that these caches are partially shared among the CPUs, which means that perfect performance isolation of co-hosted containers is not possible. Traditionally it has been the responsibility of the operating system’s task scheduler to mitigate this performance isolation problem. Linux to the rescue?

Cache 251

Cache Latency Airlines Logistics 251

HammerDB

APRIL 19, 2023

Predicting application performance is a difficult art, but an important one when choosing the target deployment environment. In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. We will not concern ourselves with the raw throughput of workload.

Performance 54

Performance Benchmarking Cache Storage 54

Smashing Magazine

JANUARY 11, 2021

Front-End Performance Checklist 2021. Front-End Performance Checklist 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. Web performance is a tricky beast, isn’t it?

Performance 145

Performance Cache Media Metrics 145

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. 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

Dynatrace

SEPTEMBER 22, 2021

and, just like other software or hardware products, DNA runs internal testing groups where employees can beta test new devices and give feedback so that any annoying usability issues are addressed before hitting the mass market. During his presentation, he also talked about how he transformed the feedback process for Hubi 2.0

Mobile 189

Mobile Media Hardware Network 189

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

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. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. For example, when running tests, the state of the device will change from “available for testing” to “in test.” In this blog post, we will focus on the latter feature set.

Latency 213

Latency Traffic Transportation Hardware 213

The Morning Paper

NOVEMBER 15, 2020

Today’s paper choice is a wonderful example of pushing the state of the art on a single server. So before matching, the IDS/IPS has to reconstruct a TCP bytestream in the face of packet fragmentation, loss, and out-of-order delivery – a process known as reassembly. Patterns may span multiple packets.

Servers 128

Servers Hardware Latency Design 128

Testlodge

APRIL 14, 2021

These systems are a combination of different hardware and software which have been configured to perform the desired task. Configuration testing is performed to discover the optimum combinations of software and hardware specifications that allow the system to work without flaws. An Example.

Testing 89

Testing Hardware Virtualization Operating System 89