Dynatrace

JANUARY 4, 2024

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. But to be successful, data quality is critical. Teams need to ensure the data is accurate and correctly represents real-world scenarios. Consistency.

Government 202

Government Analytics Benchmarking Storage 202

The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. As our subscribers grow worldwide and Netflix enters the world of gaming , the number of batch workflows and real-time data pipelines increases rapidly.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

OCTOBER 13, 2021

Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Vulnerability assessment is the process of identifying, quantifying, and prioritizing the cybersecurity vulnerabilities in a given IT system. Dynatrace news. What is vulnerability assessment? Assess risk.

Infrastructure 172

Infrastructure Open Source Virtualization Operating System 172

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

Infrastructure 174

Infrastructure Code Cloud DevOps 174

Dynatrace

NOVEMBER 6, 2023

Recently, the Parliament of India released the Digital Personal Data Protection Act 2023 , which regulates the processing of digital personal data in India and recognizes the right of individuals to protect their data in India. Dynatrace is already supported in 17 local regions on three hyperscalers (AWS, Azure, and GCP).

AWS 240

AWS Azure Tuning Analytics 240

DZone

JUNE 13, 2023

Data centers play a critical role in the digital era, as they provide the necessary infrastructure for processing, storing, and managing vast amounts of data required to support modern applications and services.

Energy 177

Energy Efficiency Government Infrastructure 177

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 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. This data-driven approach fosters continuous refinement of processes and systems.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 186

DevOps Analytics Storage Metrics 186

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. Overall, this results in a better security posture.

Analytics 187

Analytics Java Infrastructure Cloud 187

DZone

MAY 8, 2023

As an increasing number of organizations transition to cloud-based infrastructures, data integration has emerged as a crucial component of the cloud migration process. Data integration encompasses integrating data from disparate sources into a consolidated perspective.

Cloud 169

Cloud Infrastructure Systems Processing 169

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 229

Storage Government Network Infrastructure 229

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. If system failures occur, teams must resolve them quickly and resolutely.

Analytics 203

Analytics Infrastructure Efficiency Technology 203

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. So, how do organizations end up in these unwieldy situations?

Monitoring 154

Monitoring Education Technology Technology 154

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 242

Azure Infrastructure Metrics AWS 242

Dynatrace

JUNE 20, 2023

Modern IT organizations are generating more data from more tools and technologies than ever. Data is proliferating in separate silos from containers and Kubernetes to open source APIs and software to serverless compute services, such as AWS and Azure. However, they had numerous custom applications with separate APIs.

Open Source 196

Open Source Google Serverless Azure 196

Dynatrace

JULY 7, 2020

In Kubernetes environments, operating and successfully running your production applications and microservices requires getting additional insights into your Kubernetes infrastructure including the cluster, nodes, and pods that encapsulate and run the apps. Manage visibility into your observability data based on Kubernetes labels.

Infrastructure 200

Infrastructure Metrics Monitoring Cloud 200

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

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 on the Product Data Science and Engineering team.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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 192

DevOps Engineering Artificial Intelligence Infrastructure 192

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 214

Artificial Intelligence Cloud Best Practices DevOps 214

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

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 270

Open Source Hardware DevOps Infrastructure 270

The Netflix TechBlog

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Transportation 192

Transportation Architecture Processing Storage 192

All Things Distributed

MARCH 31, 2015

As you all know security, privacy, and protection of our customer’s data is our number one priority and as such we work very closely with regulators to ensure that customers can be assured that they are getting the right protections when processing and storing data in the AWS.

Processing 126

Processing AWS Media Education 126

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 206

Cache Azure Infrastructure Monitoring 206

Dynatrace

APRIL 5, 2024

But when navigating this process, one of the biggest challenges facing enterprises is having too many tools. For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. According to Dynatrace research , on average, companies have 10 different monitoring tools.

Cloud 238

Cloud Analytics Monitoring Scalability 238

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 235

Best Practices Strategy Cloud AWS 235

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 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 215

Metrics Network Monitoring Infrastructure 215

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. Software is behind most of our human and business interactions.

Software 190

Software Software Analytics Big Data 190

Dynatrace

OCTOBER 30, 2023

Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation. Finally, this complexity puts additional burden on developers who must focus on not only building more complex applications, but also managing the underlying infrastructure.

Engineering 247

Engineering DevOps Innovation Storage 247

DZone

NOVEMBER 13, 2019

Infrastructure as a service. They are relying heavily on the cloud to facilitate their clients, which demands to collect, storing, and processing a vast amount of data before it can be presented to the end-user as information. To begin with, many businesses are going online. In this article, we’re going to discuss IaaS vs.

Infrastructure 113

Infrastructure Cloud Processing Performance 113

Dynatrace

FEBRUARY 2, 2022

With this solution, customers will be able to use Dynatrace’s deep observability , advanced AIOps capabilities , and application security to all applications, services, and infrastructure, out-of-the-box. This means you no longer have to procure new hardware, which can be a time-consuming and expensive process.

Azure 321

Azure Availability Hardware Innovation 321