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

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

OCTOBER 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead. Limited data availability constrains value creation.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

All Things Distributed

APRIL 27, 2011

The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Given that I have frequently written about many of these technologies on this blog I asked investor relations to be allowed to reprint it here.

Technology 129

Technology Technology AWS Storage 129

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Moreover, IT pros say that cloud architecture and data repositories thwart achieving better data insight.

Cloud 245

Cloud Artificial Intelligence Innovation Architecture 245

Dynatrace

MARCH 6, 2024

Some 85% of technology leaders say the number of tools, platforms, dashboards, and applications they rely on adds to the complexity of managing a multicloud environment. In fact, 81% of technology leaders say the effort their teams invest in maintaining monitoring tools and preparing data for analysis steals time from innovation.

Analytics 246

Analytics Innovation Strategy Storage 246

Dynatrace

NOVEMBER 11, 2022

Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. What is hyperconverged infrastructure?

Infrastructure 264

Infrastructure Storage Virtualization Network 264

Dynatrace

JUNE 9, 2023

Teams need a technology boost to deal with managing cloud-native data volumes, such as using a data lakehouse for centralizing, managing, and analyzing data. Many organizations, including the global advisory and technology services provider, ICF, describe DevOps maturity using a DevOps maturity model framework.

DevOps 246

DevOps Analytics Storage Metrics 246

High Scalability

JANUARY 11, 2022

Architecture. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

Dynatrace

JANUARY 16, 2023

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

Open Source 358

Open Source Java Operating System Programming 358

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Every VFX studio has a slightly different architecture and workflow, and a one-size-fits-all solution often isn’t enough to bridge the gap.

Cloud 291

Cloud Entertainment AWS Infrastructure 291

Uber Engineering

SEPTEMBER 9, 2021

Uber deploys a few storage technologies to store business data based on their application model.

Storage 135

Storage Systems Engineering Technology 135

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Observability for heterogeneous cloud-native technologies is key. Dynatrace news.

Java 264

Java Traffic Architecture Strategy 264

Dynatrace

OCTOBER 3, 2024

Trace your application Imagine a microservices architecture with hundreds of dependencies. There is no need to think about schema and indexes, re-hydration, or hot/cold storage. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.

Performance 290

Performance Architecture Innovation Latency 290

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability?

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 9, 2022

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. AI-powered automation and deep, broad observability for serverless architectures. Dynatrace news.

Serverless 246

Serverless Azure Lambda AWS 246

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs).

Retail 264

Retail Storage Best Practices Architecture 264

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

JUNE 16, 2020

One key requirement of a microservices architecture is the ability to make information of all kinds available wherever and whenever it’s needed, without putting undue traffic on corporate and public networks. However, so far it didn’t provide technology-specific metrics such as queue depth or number of consumers. Memory usage.

Storage 182

Storage Metrics Java Architecture 182

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. See how Dynatrace Log Management and Analytics enables any analysis at any time with Grail technology. That’s where a data lakehouse can help.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 4, 2022

Traditionally, though, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs. Additionally, it provides index-free storage and direct analytics access to source data without requiring data rehydration. Don’t reinvent the wheel.

Analytics 246

Analytics Software Software Storage 246

InfoQ

MAY 15, 2023

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 116

Storage Systems Scalability Cloud 116

Dynatrace

DECEMBER 16, 2022

Today, organizations face unprecedented challenges, including COVID-19 recovery, economic uncertainty, and technological disruption. As organizations continue to operate in the cloud, open technologies become critical. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia.

Innovation 246

Innovation Software Software Cloud 246

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. Messaging systems are typically implemented as lightweight storage represented by queues or topics. Easily troubleshoot anomalies with technology-specific views.

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

APRIL 19, 2023

Modern observability technologies have helped enterprises identify software vulnerabilities such as Log4Shell in their environments. ” This data is excluded from storage, but teams can still gain value from data enrichment beforehand. The underlying software architecture that supports all this data must be secure, as well.

Design 246

Design Storage Programming Analytics 246

Dynatrace

MARCH 24, 2023

Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services. This clinic will walk you through Dynatrace’s log monitoring and analytics capabilities, with a specific focus on Kubernetes and cloud-native architectures.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

OCTOBER 2, 2024

There is no need to think about schema and indexes, re-hydration, or hot/cold storage. This architecture also means you are not required to determine your log data use cases beforehand or while analyzing logs within the new logs app. Keep in mind that Dynatrace Grail is schema-on-read and indexless, built with scaling in mind.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

NOVEMBER 20, 2023

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Although cold storage and rehydration can mitigate high costs, it is inefficient and creates blind spots. Dynatrace news. billion in 2020 to $4.1

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

Artificial Intelligence 264

Artificial Intelligence Healthcare Retail Government 264

Dynatrace

MAY 19, 2023

Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. It’s more complex than it sounds.” As cloud entities multiply, along with greater reliance on microservices and serverless architectures, so do the complex relationships and dependencies among them.

Network 246

Network Monitoring Performance Traffic 246

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps? What is ITOps? Why is IT operations important?

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

The Netflix TechBlog

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Traffic 347

Traffic Latency Tuning Systems 347

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. Moreover, IT pros say that cloud architecture and data repositories thwart achieving better data insight.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns.

Latency 252

Latency Storage Big Data Tuning 252