Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads.

Analytics 207

Analytics Metrics DevOps Storage 207

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Predictive AI uses statistical algorithms and other advanced machine learning techniques to anticipate what might happen next in a system. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 267

Artificial Intelligence DevOps Analytics Engineering 267

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Application and system logs are often collected in data silos using different tools, with no relationships between them, and then correlated in manual and often meaningless ways. where an error occurred at the code level.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. Fragmented and siloed data storage can create inconsistencies and redundancies. Timeliness.

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

OCTOBER 7, 2020

This gives you all the benefits of a metric storage system, including exploring and charting metrics, building dashboards, and alerting on anomalies. With this advancement, Dynatrace is now the data-to-answers-to-actions processing engine of choice that relieves you of the burden of manual health and performance analysis.

Metrics 246

Metrics Analytics Storage Monitoring 246

DZone

OCTOBER 11, 2022

Linux System Mining with Python ( Javalobby – The heart of the Java developer community). Email Reveals Google App Engine Search API About Ready For Preview Release, Charges Planned For Storage, Operations ( TechCrunch). Google Analytics Becomes A Robust Testing Platform With Content Experiments API ( Google Analytics Blog).

Java 244

Java Best Practices Google Analytics 244

High Scalability

JANUARY 11, 2022

Machine Learning Engineer at Amazon and has led several machine-learning initiatives across the Amazon ecosystem. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. Fetching User Feed.

Design 334

Design Media Storage Logistics 334

Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Here are a few critical ways in which it differs from replication: You can control how frequently the destination system syncs from source – once a week, once a day, or even less frequently.

Analytics 185

Analytics Storage Database Systems 185

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

The Netflix TechBlog

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which which is difficult when troubleshooting distributed systems. We needed to increase engineering productivity via distributed request tracing.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 198

DevOps Analytics Airlines Metrics 198

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Enterprise cloud architects and engineers require significant knowledge to ensure that private and public clouds work together compatibly. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). Procella system overview. VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Traces help find the flow of a request through a distributed system. Further reading about Business Analytics : . Conclusion.

Analytics 246

Analytics Infrastructure AWS Operating System 246

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. High data availability is achieved.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

MAY 19, 2023

Many organizations, somewhat erroneously, respond to cloud complexity by using multiple tools to monitor and manage system health. The AI engine AI delivers precise answers about the IT environment. Without the network, nothing will happen,” Ziemianowicz said. Teams also don’t have to maintain normalized schemas to query data.

Network 221

Network Monitoring Performance Traffic 221

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

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. Check out our Power Demo: Log Analytics with Dynatrace. What is AWS Transit Gateway?

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

SEPTEMBER 7, 2022

With Amazon Web Services, the main sources from which to ingest logs—Simple Storage Service, or S3, and CloudWatch —come with an additional cost. Dynatrace uses your data and its sophisticated AI causation engine, Davis® , to automatically detect performance anomalies in your applications, services, and infrastructure.

Traffic 221

Traffic AWS Network Cloud 221

Dynatrace

DECEMBER 16, 2022

But legacy, custom software can often prevent systems from working together, ultimately hindering growth. An open approach enables technologies to interoperate, whereas proprietary, legacy systems often create vendor lock-in and prevent interoperability and data integration. The platform approach vs. the best-of-breed approach.

Innovation 202

Innovation Software Software Cloud 202

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Dynatrace news. Amazon EC2.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

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. For engineers, instead of whodunit, the question is often “what failed and why?” The more complex a system, the more places to look for clues. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

SEPTEMBER 30, 2021

AWS Certified SysOps Administrator – Associate: Do you already deploy, manage, and operate AWS system resources and want to learn how to perform those duties even more effectively? Data analytics. Then this one’s for you. The top AWS certification options. So, what are the best AWS certifications? Machine learning.

AWS 215

AWS Best Practices Analytics Cloud 215

Dynatrace

AUGUST 27, 2020

Each service comes with zero-configuration, automatic instance detection, continuous data capture in context, and what’s most important – thanks to our AI engine Davis – is each service provides answers, not just data. AWS IoT Analytics. AWS Storage Gateway. AWS Systems Manager Run Command. AWS IoT Things Graph.

AWS 272

AWS Cloud IoT Database 272

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. This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 252

AWS Efficiency Azure Cloud 252