Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. A network administrator sets up a network, manages virtual private networks (VPNs), creates and authorizes user profiles, allows secure access, and identifies and solves network issues.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

NOVEMBER 28, 2022

Dynatrace provides AWS Lambda metrics monitoring in less than five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Simplify error analytics. Understand and optimize your architecture. Users can take advantage of the platform features immediately.

Lambda 225

Lambda AWS Serverless Latency 225

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

JANUARY 22, 2024

Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Because IMDGs have highly scalable storage capacity, they can easily return large numbers of matching objects to the client application, and this leads to network bottlenecks transferring large amounts of data from the IMDG back to the client.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

JUNE 15, 2023

If your application runs on servers you manage, either on-premises or on a private cloud, you’re responsible for securing the application as well as the operating system, network infrastructure, and physical hardware. What are some key characteristics of securing cloud applications? These alerts tend to slow down development.

Cloud 177

Cloud Open Source Architecture Monitoring 177

Dynatrace

MARCH 24, 2023

But managing the deployment, modification, networking, and scaling of multiple containers can quickly outstrip the capabilities of development and operations teams. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. How does container orchestration work?

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

High Scalability

JANUARY 11, 2022

Architecture. We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. It’s apparent that the most important features for feed ranking will be related to social network.

Design 334

Design Media Storage Logistics 334

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

APRIL 7, 2023

Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. How does Dynatrace help?

Lambda 216

Lambda AWS Serverless Latency 216

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

AUGUST 25, 2023

Understanding how dependencies affect application performance positions the team to make better decisions, such as adjusting service architecture or infrastructure to improve application performance or holding third-party vendors accountable for causing performance issues.

Government 203

Government Infrastructure Programming Cloud 203

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 247

AWS Efficiency Azure Cloud 247

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount.

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

FEBRUARY 1, 2020

Modern web applications rely heavily on Content Delivery Networks (CDNs) and 3rd-party integrations (for example, web analytics, tag managers, chat bots, A/B testing tools, ad providers, and more). This approach was already at its limit back in 2008 when an Akamai CDN network had only ~25,000 delivery nodes. Dynatrace news.

Tuning 186

Tuning Monitoring Network Best Practices 186

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

SEPTEMBER 18, 2020

Cloud-based application architectures commonly leverage microservices. Is it the WSO2-AM gateway itself, a networking issue, a sudden increase in demand, or something else entirely? Well-defined APIs are required for managing such microservices and tracking changes in their performance. But where does the fault lie?

Infrastructure 191

Infrastructure Latency Metrics Analytics 191

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. If the network is sluggish, an application may also be slow, frustrating users. Worse, a malicious attacker may gain access to the network, compromising sensitive application data.

Network 216

Network Monitoring Performance Traffic 216

Dynatrace

JANUARY 28, 2021

Such additional telemetry data includes user-behavior analytics, code-level visibility, and metadata (including open-source data). PurePath 4 integrates OpenTelemetry Go data for enterprise-grade collection and contextual AI analytics. Unlock extended end-to-end traceability for OpenTelemetry-instrumented Go applications.

Traffic 166

Traffic Open Source Servers Cloud 166

Dynatrace

OCTOBER 14, 2022

All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. Dynamic landscape and data handling requirements result in manual work.

Storage 227

Storage Government Network Infrastructure 227

The Netflix TechBlog

MARCH 5, 2019

The main motivation is that while the devices themselves have a significant role in overall performance, our network and cloud infrastructure has a non-negligible impact on the responsiveness of devices. People Analytics Can we support AB experiments related to recruiting and help improve candidate experience as well as attract solid talent?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JULY 6, 2020

Azure Virtual Network Gateways. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Azure DB for PostgreSQL.

Azure 148

Azure Cloud Big Data Virtualization 148

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

All Things Distributed

OCTOBER 17, 2016

Now customers who have been requesting a second US East region have more infrastructure options for running workloads, storing files, running analytics, and managing databases. As with all AWS AZs, the AZs in Ohio each have redundant power, networking, and connectivity, which are designed to be resilient to issues in another AZ.

AWS 127

AWS Cloud Infrastructure Analytics 127

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Percona

MAY 8, 2023

” To answer this question, you would have had to search by ID in a few places and be familiar with PMM’s internal architecture. Quick access to other sections To simplify access to related sections under Monitoring, we’ve also added links to the Service Overview Dashboard and Query Analytics.

Monitoring 77

Monitoring Database Metrics Tuning 77

The Netflix TechBlog

MAY 21, 2019

We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations. The agent training library exposes different types of learning agents that utilize neural networks to approximate action. The neural network (NN)-based agent uses a deep net with fully connected layers.

Testing 163

Testing AWS Lambda Network 163

The Netflix TechBlog

MAY 26, 2020

Without having network visibility, it’s not possible to improve our reliability, security and capacity posture. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. 43416 5001 52.213.180.42

Network 150

Network Tuning AWS Big Data 150

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. Simulate bad network conditions and slow CPUs and make your project resilient.

Performance 237

Performance Speed Google Media 237

Rigor

JANUARY 13, 2020

These are the bestsellers in the web performance field, including the good old Speed Up Your Site (2003) by Andy King; Steve Souders’ Even Faster Web Sites (2009) ; Ilya Grigorik’s High Performance Browser Networking (2013) ; Tammy Everts’ Time is Money (2016) ; and a handful of more recent publications. Time is Money.

Performance 75

Performance Social Media Website Website Performance 75

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. In addition, its robust architecture supports ten times as many scientists, all working simultaneously. Shell''s IT shop has to figure out how to drive costs down, effectively manage the giant files and make it profitable for the company to deploy these sensors.

Cloud 129

Cloud Energy AWS Healthcare 129