Dynatrace

NOVEMBER 3, 2023

that offers security, scalability, and simplicity of use. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0:

Technology 243

Technology Technology Scalability Availability 243

Dynatrace

MARCH 29, 2024

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. Learn to boost system reliability through proactive issue detection.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

OCTOBER 4, 2022

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

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

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

MAY 17, 2022

By taking advantage of native Kubernetes standards, Dynatrace Cloud Native Full Stack injection empowers you to precisely provide the data that your teams need in exceptionally fast and automated ways. None of this complexity is exposed to application and infrastructure teams. Flexible automation for Kubernetes observability.

Availability 313

Availability Scalability Cloud Metrics 313

Dynatrace

MAY 23, 2024

The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. Failures can occur unpredictably across various levels, from physical infrastructure to software layers. Recovery time of the latency p90.

Engineering 144

Engineering Tuning Latency Open Source 144

Dynatrace

APRIL 5, 2024

For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers. Both of these are critical as companies modernize to intelligence.

Cloud 231

Cloud Analytics Monitoring Scalability 231

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights? And how can they take advantage of AI without incurring skyrocketing costs to store, manage, and query data?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried. It then collects performance data using existing database services running on your system.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

AUGUST 21, 2023

As organizations grow, cloud application environments create complexity that makes managing and analyzing log data difficult. A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. during 2021–2026. Reduce costs and inefficiencies.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability.

Tuning 152

Tuning Speed Performance Open Source 152

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 186

DevOps Engineering Artificial Intelligence Infrastructure 186

High Scalability

FEBRUARY 8, 2019

EFF : EU countries that do not have zero rating practices enjoyed a double digit drop in the price of wireless data after a year. In comparison, the countries with prevalent zero rating practices from their wireless carriers consistently saw data prices increase. Are there more quotes?

Internet 188

Internet Internet Scalability Wireless 188

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Government.

Artificial Intelligence 203

Artificial Intelligence Healthcare Retail Government 203

Dynatrace

AUGUST 25, 2023

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. Dynatrace OneAgent has an internal mechanism that ingests only necessary log data. To get started, just dive into the documentation !

Serverless 219

Serverless Analytics AWS Azure 219

Dynatrace

JUNE 27, 2023

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail. As the cloud footprint of a company grows, so does its log data volume.

AWS 194

AWS Cloud Lambda Analytics 194

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. You can take your Dynatrace Grail™ analysis of log data further in Notebooks.

Operating System 201

Operating System Energy Infrastructure Architecture 201

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

DZone

AUGUST 23, 2023

In the era of big data, efficient data management and query performance are critical for organizations that want to get the best operational performance from their data investments.

Big Data 130

Big Data Analytics Innovation Efficiency 130

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. 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. Digital transformation shows no signs of slowing down.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is predictive AI?

AWS 205

AWS Artificial Intelligence Analytics Cloud 205

Dynatrace

FEBRUARY 16, 2023

Yet, as organizations embark on a cloud migration journey, they face overwhelming cloud complexity and an explosion of data to manage. The cloud boasts many benefits, such as increasing scalability, accelerating digital transformation, and reducing costs. They also need to eliminate data silos.

Analytics 168

Analytics Innovation Cloud Scalability 168

Dynatrace

FEBRUARY 1, 2024

They offer unmatched flexibility and scalability to meet the fluctuating demands of the market. Many of our customers face challenges due to using various tools that are not integrated, making it difficult to track their cloud services and correlate data from different sources. Metrics charts are available for each selected resource.

Cloud 200

Cloud Strategy Metrics Government 200

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. This capability allows users to gain more real-time insight into their Google Cloud infrastructure with AI-powered context to automate business and cloud operations decisions.

Google 216

Google Metrics Cloud Analytics 216

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity.

Artificial Intelligence 189

Artificial Intelligence Analytics Cloud Innovation 189

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

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. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security.

Efficiency 210

Efficiency Virtualization Hardware Performance 210