Dynatrace

MARCH 28, 2024

While generative AI has received much of the attention since 2022 for enabling innovation and efficiency, various forms of AI—generative, causal **, and predictive AI —will work together to automate processes, introduce innovation, and other activities in service of digital transformation.

C++ 181

C++ Artificial Intelligence DevOps Innovation 181

Dynatrace

FEBRUARY 2, 2022

This means you no longer have to procure new hardware, which can be a time-consuming and expensive process. No operational duties: Dynatrace operates the product for you with auto-discovery of your entire stack, end-to-end, including processes running inside containers.

Azure 319

Azure Availability Hardware Innovation 319

DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.

Testing Tools 187

Testing Tools Best Practices Testing Hardware 187

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. The vision is that data scientists use their favourite ML framework to construct a model, which together with any data pre-processing steps and library dependencies forms a model pipeline. " Query execution.

Processing 72

Processing Hardware Database Azure 72

DZone

OCTOBER 6, 2021

Differences in OS, screen size, screen density, and hardware can all affect how an app behaves and impact the user experience. They can be useful for testing development processes, but they don’t always do a thorough job of testing app performance. Mobile Performance on Emulators/Simulators.

Testing 268

Testing Performance Mobile Hardware 268

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

DZone

JULY 23, 2021

This article helps CIOs, CTOs and IT development teams understand the complexity of maintaining stateful transaction processing with participating applications, auto reconciliation and visualization. The fail-over condition arises due to uncontrolled network failure, OS failure, hardware failure or DR drill.

Hardware 246

Hardware Network Processing Availability 246

The Netflix TechBlog

OCTOBER 27, 2023

Once that happens a GC process deletes the pod. Now all we have to do is make our GC controllers aware of this annotation, and then sprinkle it into any process that could potentially make a pod or node go away unexpectedly. No need to wait for any GC process. Where Do Orphaned Pods Come From?

Hardware 228

Hardware Cloud Google Servers 228

DZone

JANUARY 20, 2023

There is a countless number of enterprises, particularly Internet giants, that have explored ways to make graph data processing scalable. Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios.

Scalability 201

Scalability Big Data Hardware Internet 201

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. In FaaS environments, providers manage all the hardware. million in 2020.

Serverless 216

Serverless Azure Hardware Transportation 216

High Scalability

DECEMBER 16, 2022

Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. This means that users only pay for the computing resources they actually use, rather than having to invest in expensive hardware and software upfront. Thank you for your time.

Cloud 201

Cloud Serverless Internet Internet 201

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

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

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

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

DZone

AUGUST 13, 2020

Such intellectual services give the development process a crucial eye to focus on constant searches like errors, completeness, bugs, bottlenecks, inconsistencies, coherence and, etc. Game testing is one of the crucial steps that help to ensure optimal performance and quality in the end product. are moving their business in this new area.

Games 306

Games Testing Hardware Virtualization 306

Scalegrid

NOVEMBER 29, 2023

The advantages of DBaaS Businesses can use their database services without having to purchase new hardware or set it up. A DBaaS automates several processes, such as using, erasing, and spinning up storage without interventions from IT staff. DBaaS companies have a lot of support for their automated processes.

Healthcare 130

Healthcare Hardware Database Scalability 130

Dynatrace

APRIL 15, 2024

Every hardware, software, cloud infrastructure component, container, open source tool, and microservice generates records of every activity within modern environments. In contrast, observability enables teams to understand a system’s internal state by analyzing the data it generates, including logs, metrics, and traces.

Infrastructure 205

Infrastructure Efficiency Government Transportation 205

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? Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JUNE 29, 2022

They use the same hardware, APIs, tools, and management controls for both the public and private clouds. Amazon Web Services (AWS) Outpost : This offering provides pre-configured hardware and software for customers to run native AWS computing, networking, and services on-premises in a cloud-native manner.

Infrastructure 178

Infrastructure Cloud Azure AWS 178

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 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

DECEMBER 6, 2023

This type of database offers scalability with no downtime along with giving businesses control over what resources they use through customization capabilities such as choosing hardware infrastructure options or building security measures around it. These advantages come at an expense.

Database 130

Database Cloud Hardware Storage 130

High Scalability

APRIL 8, 2019

Hardware infrastructure. Scaling development processes. This is a guest post by Hugues Alary , Lead Engineer at Betabrand , a retail clothing company and crowdfunding platform, based in San Francisco. This article was originally published here. Early infrastructure. The scalability and maintainability issue. The advent of Docker.

Retail 233

Retail Hardware Infrastructure Scalability 233

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 92

Database Hardware Open Source Strategy 92

Dynatrace

AUGUST 26, 2020

There’s no other competing software that can provide this level of value with minimum effort and optimal hardware utilization that can scale up to web-scale! I’d like to stress the lean approach to hardware that our customers require for running Dynatrace Managed. Increased processing power with the update to JRE 11.

Performance 150

Performance Hardware Java Storage 150

Dynatrace

JUNE 25, 2020

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. Cluster nodes reside in both data centers and they continuously process, store, and replicate data.

Availability 244

Availability Hardware Latency Traffic 244

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 177

Lambda AWS Serverless Hardware 177

Percona

NOVEMBER 2, 2023

Upgrading to the newest release of MongoDB is the key to unlocking its full potential, but it’s not as simple as clicking a button; it requires meticulous planning, precise execution, and a deep understanding of the upgrade process. You should also review your hardware resources, how you use MongoDB, and any custom configurations.

Best Practices 91

Best Practices Hardware Tuning Scalability 91

DZone

FEBRUARY 21, 2021

CPU consumption in Unix/Linux operating systems are studied using 8 different metrics: User CPU time , System CPU time , nice CPU time , Idle CPU time , Waiting CPU time , Hardware Interrupt CPU time , Software Interrupt CPU time , and Stolen CPU time. In Unix/Linux operating systems, processes are launched with a priority 0 (default).

Operating System 133

Operating System Hardware Metrics Systems 133

Testlodge

MARCH 12, 2024

As the tester goes through the process flow, they may notice things that are not intuitive. End-to-end tests can often include hardware. If this is the case, request hardware units as early as possible to avoid any delays in testing due to supply issues. System testing is an ideal time to consider new use cases.

Systems 90

Systems Testing Open Source Hardware 90

Percona

MARCH 28, 2023

Journal It’s a process where every write operation gets written (appended) from Memory to a Journal file, AKA transaction log that exists on disk at a specific interval configured using “ journalCommitIntervalMs.” Although both the processes (involving disk) might look the same, they have different purposes.

Hardware 92

Hardware C++ Storage Cache 92

The Netflix TechBlog

JANUARY 13, 2022

We have now moved to a more systematic approach where unknown errors are fed into a Machine Learning process that performs clustering to propose new regular expressions for commonly occurring errors. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

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

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 162

Cloud Traffic Best Practices Strategy 162

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 188

Mobile Media Hardware Network 188

The Morning Paper

NOVEMBER 15, 2020

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. Having settled on an FPGA-first design, this means that stateful packet processing for matching and reassembly needs to be performed on the FPGA.

Servers 128

Servers Hardware Latency Design 128

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. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.

Serverless 276

Serverless AWS Lambda Storage 276