DZone

DECEMBER 18, 2023

These articles covered this fairly new open dashboard and visualization project targeting cloud-native environments. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 251

Cloud 251

Dynatrace

MARCH 21, 2024

As the world becomes increasingly interconnected with the proliferation of IoT devices and a surge in applications, digital transactions, and data creation, mobile monitoring — monitoring mobile applications — grows ever more critical.

Mobile 171

Mobile Monitoring Analytics IoT 171

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 202

Analytics Metrics Media Monitoring 202

DZone

FEBRUARY 6, 2024

Grafana is an open-source tool to visualize the metrics and logs from different data sources. If the data sources are not available then customized plugins can be developed to integrate these data sources. What Is Grafana? Various platforms that are supported by Grafana today:

Big Data 161

Big Data Open Source Virtualization Metrics 161

DZone

DECEMBER 21, 2023

These articles covered this fairly new open dashboard and visualization project targeting cloud-native environments. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 169

Cloud 169

Dynatrace

APRIL 19, 2024

For many, the driving force behind custom solution development is today’s dynamic and rapidly evolving digital landscape, in which organizations find themselves in a race to automate repetitive tasks, drive data-backed decisions, and do more with less.

AWS 213

AWS Analytics Cloud Monitoring 213

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

DZone

JUNE 15, 2023

As one of the most popular open-source Kubernetes monitoring solutions, Prometheus leverages a multidimensional data model of time-stamped metric data and labels. It stores the metrics in a time-series database and provides the powerful PromQL query language for efficient analysis and data visualization.

Open Source 286

Open Source Metrics Efficiency Architecture 286

Dynatrace

APRIL 3, 2024

Full-stack observability is the ability to determine the state of every endpoint in a distributed IT environment based on its telemetry data. Telemetry data — such as metrics, logs, and traces — gives IT teams crucial context to understand how all entities are connected. Successful observability is actionable.

Government 154

Government Social Media Metrics Infrastructure 154

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

Dynatrace

FEBRUARY 28, 2024

Foremost among these is the complexity associated with data gathering and analysis. Additionally, the Visual Resolution Path within generated problem reports helps in reproducing issues in their environments. Additionally, align the action’s validation window with the timeframe derived from the recently completed test events.

DevOps 196

DevOps Metrics Engineering Analytics 196

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. Gil Givati’s (Matrix) HALO app impressed by allowing users to visually create holistic objectives for applications or products.

Innovation 190

Innovation Analytics Mobile Website 190

DZone

NOVEMBER 7, 2023

This is about how a cyber security service provider built its log storage and analysis system (LSAS) and realized 3X data writing speed, 7X query execution speed, and visualized management. It also provides data management and file-tracking services.

Storage 216

Storage Speed Systems 216

DZone

OCTOBER 26, 2023

Zabbix is a universal monitoring tool that combines data collection , data visualization , and problem notification. Today, I want to share my experience working with Zabbix, its architecture, its pros, and its cons. It also allows for some advanced features, such as problem prediction.

Monitoring 268

Monitoring Systems DevOps Virtualization 268

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

DZone

DECEMBER 14, 2023

These articles covered this fairly new open dashboard and visualization project targeting cloud-native environments. I used a getting started workshop to guide you through this series and to provide a hands-on experience for those new to visualizing observability data.

Cloud 169

Cloud 169

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data. When trying to address this challenge, your cloud architects will likely choose Amazon Data Firehose.

Cloud 244

Cloud Lambda AWS Analytics 244

DZone

MAY 1, 2023

The main purpose of this article and use case is to scrape AWS CloudWatch metrics into the Prometheus time series and to visualize the metrics data in Grafana. These tools give greater visibility other than collecting the metrics also, where we can set up critical alerts, live views, and custom dashboards.

AWS 256

AWS Open Source Tuning Metrics 256

DZone

JUNE 15, 2023

It is worth noting that this data collection process does not impact the performance of the application. Moreover, the process of collecting these profiles introduces overhead during application runtime and necessitates the storage and visualization of significantly large datasets.

Latency 246

Latency Storage Strategy Metrics 246

Dynatrace

APRIL 24, 2024

To transparently manage expectations and maintain trust with our customers, we expanded the Dynatrace SLA beyond accessing the user interface to cover the full range of relevant product categories, such as processing and retaining incoming data, accessing and working with data, and triggering automations.

Azure 233

Azure Infrastructure Metrics AWS 233

The Netflix TechBlog

MARCH 14, 2023

Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service. Artists and video editors routinely need specific visual elements to include in artworks and trailers.

Media 291

Media Innovation Energy Architecture 291

DZone

JUNE 28, 2023

Sharding is often applied to databases for several reasons, including improving query performance , facilitating data organization , and enhancing scalability. The above diagram presents a visual representation of a sharded database.

Database 228

Database Scalability Servers Performance 228

DZone

NOVEMBER 30, 2023

It uses Python as its programming language and offers a flexible architecture suited for both small-scale and large-scale data processing. The platform supports the concept of Directed Acyclic Graphs to define workflows, making it easy to visualize complex data pipelines.

Processing 161

Processing Open Source Programming Architecture 161

DZone

MARCH 14, 2024

In the digital age, where data breaches and cyber threats loom large, ensuring the security of your digital assets is paramount. Understanding Grafana's Role in Security Grafana allows users to visualize, query, and analyze logs and metrics from various sources like Prometheus, Elasticsearch, and Loki, in a single dashboard.

Analytics 161

Analytics Open Source Monitoring Metrics 161

The Netflix TechBlog

NOVEMBER 17, 2022

Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video. Besides objective measurements, we also conducted human subject studies to validate the visual improvements of the deep downscaler. A visual example is shown below.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

JANUARY 18, 2024

Strong visualization tools are necessary to fully maximize any explainable AI method’s benefits. Decision trees and dashboards are two common visualization methods that present complex data in an easily readable format. These tools can turn data into actionable insights.

Artificial Intelligence 206

Artificial Intelligence Healthcare Government Technology 206

Scalegrid

SEPTEMBER 16, 2019

PostgreSQL graphical user interface (GUI) tools help these open source database users to manage, manipulate, and visualize their data. Offers great visualization to help you interpret your data. The window-based interface makes it much easier to manage your PostgreSQL data. Convenient navigation among data.

Open Source 262

Open Source Database Azure Cloud 262

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

MARCH 11, 2021

In the fourth part of the series, I’ll show you how I used Dynatrace’s raw problem and event data to find the best fit for optimized anomaly detection settings. I took a big-data-analysis approach, which started with another problem visualization. Visualizing problem noise. But that didn’t work for me.

Tuning 261

Tuning Architecture Monitoring Big Data 261

Dynatrace

FEBRUARY 1, 2024

With this visualization, you can keep track of your investigation and navigate to previous steps and respective results in the investigation history—all in context, with no need to re-execute anything. The final visual representation provides a comprehensive overview of the entire investigation.

Speed 193

Speed Games Efficiency Processing 193

The Netflix TechBlog

NOVEMBER 6, 2023

Creating these involves sifting through hundreds of thousands of movies and TV shows to find the right line of dialogue or the appropriate visual elements (objects, scenes, emotions, actions, etc.). Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements.

Media 225

Media Social Media Tuning Efficiency 225

Dynatrace

FEBRUARY 2, 2023

Should business data be part of your observability solution? Technology and business leaders express increasing interest in integrating business data into their IT observability strategies, citing the value of effective collaboration between business and IT. The new metric can then be pinned to a dashboard.

Analytics 194

Analytics Metrics DevOps Storage 194

Dynatrace

FEBRUARY 12, 2024

However, these environments can drown enterprises in data, forcing them to adopt multiple tools and services to manage and secure it. With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation.

Analytics 175

Analytics Artificial Intelligence Engineering Storage 175

Dynatrace

FEBRUARY 15, 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 and automated workflows. Further, according to a Gartner® report, by 2025, 95% of decisions that currently use data will be at least partially automated.*

Code 204

Code DevOps Cloud Analytics 204

Dynatrace

MAY 13, 2022

From there, you can dive deeper into infrastructure metrics (cluster, datacenter, racks, and nodes) and data metrics (keyspaces and tables). In addition to the built-in views, Dynatrace provides data analysis that enhances your ability to query and chart metrics. Add your visualization to your dashboards for easy access and sharing.

Azure 231

Azure Latency Metrics Infrastructure 231

Dynatrace

FEBRUARY 15, 2023

Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. Ensuring observability across these environments requires access to data at a massive scale. You no longer need to split, distribute, or pre-aggregate your data. Grail solves this scalability issue!

Analytics 222

Analytics Social Media Metrics Efficiency 222

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. After setting up the correct endpoints, data is sent right away.

Java 182

Java Analytics Best Practices Monitoring 182