Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Storage is a critical aspect to consider when working with cloud workloads. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Automate cloud operations and trigger remediation workflow to enhance efficiency. What is AWS Transit Gateway?

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 231

Monitoring Artificial Intelligence Performance Analytics 231

Dynatrace

JANUARY 11, 2023

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 227

Cloud Monitoring Best Practices Infrastructure 227

Dynatrace

SEPTEMBER 7, 2022

VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. By default, each record captures a network internet protocol (IP), a destination, and the source of the traffic flow that occurs within your environment.

Traffic 221

Traffic AWS Network Cloud 221

Dynatrace

DECEMBER 15, 2022

Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. Additionally, they manage applications and services deployed on the network and provide secure access to authorized users.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. If you don’t have insight into the software and services that operate your business, you can’t efficiently run your business. Minimizes downtime and increases efficiency.

Infrastructure 206

Infrastructure Monitoring Virtualization Serverless 206

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 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

OCTOBER 14, 2022

This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. The key to 360-degree observability is acquiring the right data at the right time from the right places.

Storage 232

Storage Government Network Infrastructure 232

The Netflix TechBlog

SEPTEMBER 24, 2021

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 237

Cloud Media Storage Cache 237

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

DECEMBER 18, 2023

Once you have recorded and collected the desired metrics, you can visualize them in the Dynatrace backend and use that for further behavior and pattern analysis and application management. But often, we use additional services and solutions within our environment for backups, storage, networking, and more.

Metrics 183

Metrics Engineering Energy Tuning 183

Percona

APRIL 24, 2023

If you are using any wait event analysis tools/scripts like pg_gather , the overhead of the WAL generation will be clearly visible. As the size of the active dataset increases, the cache becomes less and less efficient. This is in addition to the read I/O required to bring the additional index pages from storage for specific queries.

Tuning 124

Tuning Cache Storage Database 124

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. It allows users to access and use shared computing resources, such as servers, storage, and applications, on demand and without the need to manage the underlying infrastructure.

Cloud 201

Cloud Serverless Internet Internet 201

Percona

JUNE 6, 2023

In this blog post, we will explore the realm of backups and conduct a comparative analysis of three backup types: Full, incremental, and differential backups. Increased Storage Requirements : One of the disadvantages of full backups is the increased storage requirements due to the fact that they capture a complete copy of all data and files.

Storage 67

Storage Strategy Network Efficiency 67

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 102

Performance Monitoring Traffic Database 102

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?—?what

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

NOVEMBER 11, 2020

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. Easier rollout thanks to log storage best practices. Easier rollout thanks to log storage best practices. Dynatrace news. Advanced customization of OneAgent deployments made easy.

Best Practices 202

Best Practices Storage Java Benchmarking 202

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs). One of the key advantages of DEM is its versatility.

Monitoring 209

Monitoring Social Media IoT Metrics 209

High Scalability

OCTOBER 24, 2022

Cloud Infrastructure Services -- An analysis of potentially anti-competitive practices by Professor Frédéric Jenny. Each cloud-native evolution is about using the hardware more efficiently. Network effects are not the same as monopoly control. A group advocating for fair licensing. Neither are clouds.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 97

Hardware Storage Big Data Blockchain 97

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 209 File system as a service at Netflix Kishore Kasi , Senior Software Engineer Abstract : As Netflix grows in original content creation, its need for storage is also increasing at a rapid pace. Technology advancements in content creation and consumption have also increased its data footprint.

AWS 100

AWS Entertainment Open Source Benchmarking 100

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on. The Limitations of Today’s Streaming Analytics. The following diagram illustrates a typical workflow.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

AUGUST 20, 2015

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134

Database Logistics Availability Social Media 134

Percona

SEPTEMBER 1, 2023

Web applications rely on databases to run the internet, powering everything from e-commerce platforms to social media networks to streaming services. Character encoding refers to the method used to represent characters as binary data for storage and transmission.

Performance 52

Performance Storage Social Media Database 52

Dynatrace

NOVEMBER 29, 2021

But OpenShift provides comprehensive multi-tenancy features, advanced security and monitoring, integrated storage, and CI/CD pipeline management right out of the box. By removing concerns around storage, security, and lifecycle management, businesses can instead focus on application development, support, and evolution. The result?

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

Adrian Cockcroft

APRIL 5, 2023

This would open up opportunities to leverage existing performance monitoring tools and dashboards, extend optimization tools like autoscalers and schedulers, and to build new kinds of carbon analysis and optimization tools and services. Carbon measurements are by their nature imprecise and based on estimates and models that include variation.

Energy 52

Energy Metrics Cloud Operating System 52

ACM Sigarch

DECEMBER 6, 2018

To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research. Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g. Yolo , ResNet50 ).

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

JULY 21, 2020

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. They also can perform analysis quickly and efficiently — where the data lives.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

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. They also can perform analysis quickly and efficiently — where the data lives.

Analytics 52

Analytics Airlines Cache Scalability 52

The Netflix TechBlog

MAY 21, 2019

There are several problems efficient test scheduling could help us solve: Quickly detect a regression in the integration of the Netflix SDK on a consumer electronic or MVPD (multichannel video programming distributor) device. The neural network (NN)-based agent uses a deep net with fully connected layers.

Testing 163

Testing AWS Lambda Network 163

Brendan Gregg

FEBRUARY 28, 2023

## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?

Performance 110

Performance Latency Cache Virtualization 110

All Things Distributed

JUNE 26, 2016

AdiMap uses Amazon Kinesis to process real-time streaming online ad data and job feeds, and processes them for storage in petabyte-scale Amazon Redshift. At-scale computing and visual analysis. Seamless ingestion of large volumes of sensed data. warehouses to glean business insights for jobs, ad spend, or financials for mobile apps.

AWS 90

AWS Cloud Healthcare Blockchain 90