DZone

MARCH 29, 2023

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.

Best Practices 315

Best Practices Cloud Data Engineering Storage 315

Dynatrace

FEBRUARY 1, 2024

Infrastructure and operations teams must maintain infrastructure health for IT environments. With the Infrastructure & Operations app ITOps teams can quickly track down performance issues at their source, in the problematic infrastructure entities, by following items indicated in red.

Infrastructure 193

Infrastructure Metrics Network Monitoring 193

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 242

Latency Storage Traffic Tuning 242

Dynatrace

JULY 15, 2024

Whether necessary as part of deep root-cause analyses of issues faced by your users that impact your business or if you’re an engineer responsible for the infrastructure hosting your applications and network paths. A set of metrics allowing query results with Data Explorer and creating advanced reporting using Dynatrace Dashboards.

Availability 242

Availability Network Monitoring Infrastructure 242

DZone

APRIL 4, 2023

Kafka’s ability to handle large volumes of real-time market data makes it a core infrastructure component for trading, risk management, and fraud detection. Financial institutions use Kafka to stream data from market data feeds, transaction data, and other external sources to drive decisions.

Processing 272

Processing Database Infrastructure Testing 272

The Netflix TechBlog

SEPTEMBER 18, 2024

Vidhya Arvind , Rajasekhar Ummadisetty , Joey Lynch , Vinay Chella Introduction At Netflix our ability to deliver seamless, high-quality, streaming experiences to millions of users hinges on robust, global backend infrastructure. To overcome these challenges, we developed a holistic approach that builds upon our Data Gateway Platform.

Latency 254

Latency Storage Cache Efficiency 254

DZone

OCTOBER 7, 2024

Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure. This shift is driven by the need for greater control over costs, data privacy, and system customization.

Infrastructure 173

Infrastructure Azure Hardware AWS 173

Dynatrace

NOVEMBER 29, 2024

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access.

Storage 202

Storage AWS Azure Architecture 202

Dynatrace

OCTOBER 10, 2024

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights.

Latency 213

Latency Infrastructure Monitoring Metrics 213

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 278

Artificial Intelligence Analytics Storage Architecture 278

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 263

Cloud Lambda AWS Analytics 263

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 271

Artificial Intelligence DevOps Analytics Engineering 271

Dynatrace

DECEMBER 7, 2023

Grant Schneider’s triple whammy of insider threats, critical infrastructure, and AI Our next guest, Grant Schneider, senior director of cybersecurity services at Venable and former federal CISO, took things up a notch. Schneider shared his perspective on the impact of those incidents.

Government 204

Government Infrastructure Artificial Intelligence Best Practices 204

Dynatrace

OCTOBER 31, 2024

To provide maximum freedom in selecting the service-level indicators that matter most to your business, Dynatrace combines SLOs with the power of Dynatrace Grail™ data lakehouse, the central data platform with heterogeneous and contextually linked data. This is where Grail, the Dynatrace central data platform, excels.

Metrics 225

Metrics Availability Monitoring Scalability 225

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 240

Storage Government Network Monitoring 240

Dynatrace

OCTOBER 24, 2023

The session focused on how agencies are protecting data within the context of zero trust. Reflecting on their discussion, I identified five emerging “truths” about zero trust and data. Identity is not necessarily as important as data because at the end of the day, we steal identities to get to the data,” said Williamson. “I

Government 232

Government Artificial Intelligence Best Practices Infrastructure 232

Dynatrace

OCTOBER 3, 2024

Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.

Performance 259

Performance Architecture Innovation Latency 259

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 203

DevOps Analytics Airlines Metrics 203

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 212

Government Analytics Benchmarking Storage 212

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 249

AWS Azure Tuning Analytics 249

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 222

Analytics Metrics Media Monitoring 222

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. Customer decisions about data retention are often determined by important security, privacy, and legal issues.

Analytics 225

Analytics Storage Infrastructure Metrics 225

Dynatrace

NOVEMBER 4, 2024

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Agile business decisions rely on fresh data. Easy to access. Contextualized.

Analytics 174

Analytics Airlines Metrics Monitoring 174

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 327

Network Transportation AWS Cloud 327

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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 192

Engineering Tuning Latency Open Source 192

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 351

Open Source Java Operating System Programming 351

DZone

FEBRUARY 3, 2024

In the changing world of data centers and cloud computing, the desire for efficient, flexible, and scalable networking solutions has resulted in the broad use of Software-Defined Networking (SDN). Traditional networking models have a tightly integrated control plane and data plane within network devices.

Network 182

Network Systems Cloud Software 182

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 198

Performance DevOps Innovation Artificial Intelligence 198

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. Security: Data is stored securely in the Dynatrace cloud (powered by Azure).

Azure 324

Azure Availability Hardware Innovation 324

Dynatrace

OCTOBER 28, 2024

As modern multicloud environments become more distributed and complex, having real-time insights into applications and infrastructure while keeping data residency in local markets is crucial. By keeping data within the region, Dynatrace ensures compliance with data privacy regulations and offers peace of mind to its customers.

Azure 248

Azure Latency Infrastructure Cloud 248

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 206

Open Source Google Serverless Azure 206

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 191

Azure Analytics Artificial Intelligence Innovation 191

Scalegrid

JANUARY 15, 2021

Auditing in information technology (IT) is a process of examining an organization’s IT infrastructure to ensure compliance with the requirements imposed by recognized standards or established policies.

Infrastructure 319

Infrastructure Database Technology Technology 319

Dynatrace

FEBRUARY 28, 2024

Certification by an independent assessor includes an audit of the company’s information security measures, including its infrastructure, processes, and data protection practices. Dynatrace recently passed this rigorous audit process and successfully demonstrated its ability to handle data securely. What’s next?

Automotive 258

Automotive Infrastructure Analytics Innovation 258

DZone

MAY 21, 2023

As more organizations adopt Kubernetes, the need for proper security and management of sensitive data within these environments becomes paramount. One crucial aspect of ensuring a secure Kubernetes infrastructure is the effective management of secrets, such as API keys, passwords, and tokens.

Best Practices 329

Best Practices Infrastructure Efficiency 329

The Netflix TechBlog

FEBRUARY 13, 2023

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We accomplish this by paving the path to: Accessing and processing media data (e.g. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 299

Media Storage Infrastructure Systems 299