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 collects operational data to identify patterns and anomalies for faster incident management and near-real-time insights.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. You can learn more about it from my talk at the Flink forward conference.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 233

Analytics Artificial Intelligence Storage Serverless 233

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. For example, uptime detection can identify database instability and help to improve mean time to restoration. Database monitoring.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Using network queue depths alone is enough to signal a large fraction of QoS violations, although smaller than when the full instrumentation is available. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 200

Analytics Big Data Media Operating System 200

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. For example, if some fields in the responses are timestamps, those will differ. The service responsible for generating this payload consults a metadata service that provides all available streams for the given title.

Traffic 339

Traffic Latency Tuning Systems 339

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Let’s look at the Azure DB for MariaDB overview as an example. See the health of your big data resources at a glance. Azure Virtual Network Gateways.

Azure 147

Azure Cloud Big Data Virtualization 147

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.

Analytics 186

Analytics Innovation Metrics Database 186

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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. 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 cloud architecture vs. multicloud architecture.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. Take Peterborough City Council as an example. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Take this situation as an example: When multiple problems happen in parallel the introduction of the “unhealthy situation” concept can reduce the number of support tickets. But that didn’t work for me. Visualizing problem noise.

Tuning 261

Tuning Architecture Monitoring Big Data 261

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.” Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Percona

JANUARY 19, 2023

However, there are cases where the same column is defined on multiple indexes in order to serve different query patterns, and sometimes some of the indexes created for the same column are redundant, leading to more overhead when inserting or deleting data (as indexes are updated) and increased disk space for storing the indexes for the table.

Open Source 87

Open Source Storage Database Big Data 87

The Netflix TechBlog

OCTOBER 15, 2019

For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. High availability, via standby instances across AWS Availability Zones. In addition, we support Cassandra (multi-master).

Transportation 192

Transportation Architecture Processing Storage 192

All Things Distributed

JANUARY 6, 2016

Today, I’m happy to announce that the Asia Pacific (Seoul) Region is now generally available for use by customers worldwide. For example, Samsung Electronic Printing used AWS to deploy its Printing Apps Center in a way that didn’t require them to invest up-front capital and kept total costs quite low.

AWS 110

AWS Cloud Games Latency 110

All Things Distributed

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. Put simply, data is not always readily available and accessible to organizational end users.

Cloud 137

Cloud Big Data AWS Analytics 137

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

All Things Distributed

JUNE 26, 2016

Today, I’m happy to announce that the Asia Pacific (Mumbai) Region is generally available for use by customers worldwide. Here are the benefits of a comprehensive platform, with customer examples: A connected platform to sense the business environment. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Show me a list of currently available or soon to be available ventilators in my county right now.”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Show me a list of currently available or soon to be available ventilators in my county right now.”.

Logistics 52

Logistics Analytics Scalability Cloud 52

DZone

JUNE 3, 2019

Normally, GPU nodes don't have much room for SSDs, which limits the opportunity to train very deep neural networks that need more data. For example, one well-respected vendor's standard solution is limited to 7.5TB of internal storage, and it can only scale to 30TB.

Storage 100

Storage Performance Network Scalability 100

All Things Distributed

DECEMBER 8, 2016

Today, I'm happy to share that the Canada (Central) Region is available for use by customers worldwide. The AWS Cloud now operates in 40 Availability Zones within 15 geographic regions around the world, with seven more Availability Zones and three more regions coming online in China, France, and the U.K. in the coming year.

AWS 155

AWS Cloud Lambda Innovation 155

Testsigma

MAY 14, 2021

Examples are Agile testing, TDD, automation testing, regression testing, etc. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Continuous testing Web application testing Mobile app testing Regression testing Cross-browser testing Data-driven testing Functional testing Regression Testing.

Cloud 67

Cloud Testing Testing Tools Internet 67

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

All Things Distributed

AUGUST 16, 2011

For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

SEPTEMBER 26, 2014

Topics include Introduction to AWS, Big Data, Compute & Networking, Architecture, Mobile & Gaming, Databases, Operations, Security, and more. Bootcamps you can register for include: “Getting Started with AWS,” “AWS Essentials,” “Highly Available Apps,” and “Taking AWS Operations to the Next Level.”.

AWS 111

AWS Games Education Innovation 111

All Things Distributed

NOVEMBER 30, 2016

For example, they want us to help them develop chatbots that understand natural language, build Alexa-style conversational experiences for mobile apps, dynamically generate speech without using expensive voice actors, and recognize concepts and faces in images without requiring human annotators. Amazon Lex. Mary's Church is at 226 St.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. It comprises message-processing code and state variables which host dynamically evolving contextual information about the data source.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

DECEMBER 9, 2010

Amazon S3 has always been a scalable, durable and available data repository for almost any customer workload. This is especially true for customers managing HD video or data-intensive instruments such as genomic sequencers. For example, a 2-hour movie on Blu-ray can be 50 gigabytes. Spot Instances - Increased Control.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

AUGUST 20, 2012

This is apparent in the Media industry where film re-edits, for example, are no longer just about revisiting the original 35mm or 65 mm film but rather all the digital content captured by the 2K or 4K cameras that were used during filming. provides highly available and highly durable (â??designed s largest organizations.

Storage 122

Storage Cloud AWS Media 122

All Things Distributed

FEBRUARY 25, 2011

When a new customer is onboarded, the ISV has to spin up a collection of AWS resources to run their web-servers, app-servers and databases in a multi-AZ (availability zone) setting to achieve high-availability. A simple scenario is for example the ability to clearly identify production from staging and development environments.

AWS 121

AWS Cloud Scalability Storage 121

The Netflix TechBlog

JULY 26, 2021

From the moment a Netflix film or series is pitched and long before it becomes available on Netflix, it goes through many phases. Data connectivity across Netflix Studio and availability of Operational Reporting tools also incentivizes studio users to avoid forming data silos. See example below.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

APRIL 27, 2011

For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer. The storage systems weve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MAY 24, 2011

I am excited that today both the Route 53 , the highly available and scalable DNS service, and the Elastic Load Balancing teams are releasing new functionality that has been frequently requested by their customers: Route 53 now GA : Route 53 is now Generally Available and will provide an availability SLA of 100%.

Internet 114

Internet Internet AWS Scalability 114