Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 290

Artificial Intelligence Cloud Innovation Strategy 290

Dynatrace

OCTOBER 25, 2022

NoOps is a concept in software development that seeks to automate processes and eliminate the need for an extensive IT operations team. Organizations adopt DevOps, where developers and operations work together in a continuous loop, so they can develop software and resolve issues efficiently before they affect users. What is NoOps?

DevOps 222

DevOps Big Data Cloud Innovation 222

Dynatrace

OCTOBER 4, 2022

A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Therefore, it contains all of an organization’s data. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Data management.

Artificial Intelligence 213

Artificial Intelligence Storage Analytics Government 213

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. They need automated approaches based on real-time, contextualized data.

Healthcare 231

Healthcare Artificial Intelligence Innovation Strategy 231

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. So, what is ITOps?

Artificial Intelligence 207

Artificial Intelligence DevOps Hardware Virtualization 207

Dynatrace

OCTOBER 4, 2022

Stop worrying about log data ingest and storage — start creating value instead. Dynatrace® Grail , an additional core technology for the Dynatrace® Software Intelligence platform , is the world’s first data lakehouse with massively parallel processing (MPP) for context-rich observability, business, and security analytics.

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

Dynatrace

AUGUST 10, 2021

Carrie called out how at Dynatrace we know it takes a village to achieve the extraordinary, from innovating reliable digital services at speed to learning how to adapt and thrive while managing our increasingly complex, dynamic technology environments. Investing in data is easy but using it is really hard”. She wasn’t wrong.

DevOps 246

DevOps Innovation Big Data Cloud 246

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., There are multiple sources of queueing in both hardware and software, and Seer works best when using deep instrumentation to capture these. ASPLOS’19. Distributed tracing and instrumentation.

Big Data 45

Big Data Cloud Performance Hardware 45

ScaleOut Software

JULY 19, 2021

To address these challenges and countless others like them, we need autonomous, deep introspection on incoming data as it arrives and immediate responses. The technology that can do this is called in-memory computing. The post The Need for Real-Time Device Tracking appeared first on ScaleOut Software.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

JUNE 1, 2021

Dhevi joined Netflix in July 2020 and is one of many Data Engineers who have onboarded remotely during the pandemic. In this post, Dhevi talks about her passion for data engineering and taking on a new role during the pandemic. One great thing about working with data is the impact you can create as an engineer.

Data Engineering 138

Data Engineering Engineering Software Engineering Big Data 138

The Netflix TechBlog

JUNE 1, 2021

Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Samuel Setegne is a Senior Software Engineer on the Core Data Science and Engineering team. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 186

Infrastructure Cloud Azure AWS 186

Dynatrace

FEBRUARY 16, 2023

The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes. Grail data lakehouse delivers massively parallel processing for answers at scale Modern cloud-native computing is constantly upping the ante on data volume, variety, and velocity.

Analytics 190

Analytics Innovation Metrics Database 190

Dynatrace

SEPTEMBER 15, 2020

During the Performance Clinic episode, I asked Stefano to tell us more about this changing world and how we can leverage automation, AI and machine learning to optimize modern software stacks despite the increased complexity. Q4: Do you have a way to integrate new technology stacks to Akamas via a plugin mechanism?

Performance 189

Performance Java Metrics Cloud 189

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. With modern multicloud environments, AIOps must evolve to include the full software delivery lifecycle. AIOps use cases.

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. What sets Dynatrace apart?

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

The Netflix TechBlog

JUNE 7, 2021

Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services.

Network 325

Network Transportation AWS Cloud 325

The Netflix TechBlog

MAY 4, 2023

Utilizing cloned real traffic, we can exercise the diversity of inputs from a wide range of devices and device application software versions in production. Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Gartner defines APM as: Application Performance Monitoring and the technologies and use cases it covers, has expanded rapidly.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. Who's Hiring? this is going to be a challenging journey for any backend engineer! Apply here. Apply here.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). T riplebyte lets exceptional software engineers skip screening steps at hundreds of top tech companies like Apple, Dropbox, Mixpanel, and Instacart. They also do live system design discussions every week. Try out their platform. Apply here. Apply here.

Education 105

Education Software Engineering Engineering Big Data 105

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

Testsigma

MAY 14, 2021

The traditional testing that was done on the software installed on local servers is now slowly fading away. However, the primary goal of traditional testing and cloud-based testing remains the same i.e., to deliver high-quality and efficient software. Every project/ software/organization is different and have different requirements.

Cloud 67

Cloud Testing Testing Tools Internet 67

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

DECEMBER 20, 2017

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

O'Reilly

AUGUST 15, 2023

To follow up on our previous survey about low-code and no-code tools, we decided to run another short survey about tools specifically for software developers—including, but not limited to, GitHub Copilot and ChatGPT. Part of the solution is improved tooling: self-service deployment, code-generation tools, and other new technologies and ideas.

Development 73

Development Programming Speed Open Source 73

Alex Podelko

DECEMBER 19, 2019

So here is the list of 21 sessions on my “to attend” list (check the full agenda as you may be interested in another topics and technologies – and there many more great sessions there) – in the same random order they are in the list of sessions). How is DevOps changing the Modern Software Development Landscape? ,

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. It was developed for optimizing data storage and access for big data sets. MyRocks is shipped in Percona Server for MySQL.

Open Source 87

Open Source Storage Database Big Data 87

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 103

Hardware Infrastructure Engineering Technology 103

Testsigma

SEPTEMBER 8, 2021

Cloud-based technologies are on a rise today. AppPerfect is one among the tools list that is a versatile tool – it is of great use for not only testers but developers and big data operations. As per Blazemeter, it has been named “ Gartner’s customer choice for software test automation ”. Signup now. AppPerfect.

Cloud 76

Cloud Testing AWS Testing Tools 76