Dynatrace

NOVEMBER 22, 2022

For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?

Infrastructure 176

Infrastructure Availability Systems Retail 176

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse?

Artificial Intelligence 201

Artificial Intelligence Storage Analytics Government 201

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. However, in some cases, an organization may be better suited to another architecture approach. Therefore, it’s critical to weigh the advantages of microservices against its potential issues, other architecture approaches, and your unique business needs.

Architecture 192

Architecture Serverless Azure Programming 192

Dynatrace

JUNE 10, 2022

.” While this methodology extends to every layer of the IT stack, infrastructure as code (IAC) is the most prominent example. Here, we’ll tackle the basics, benefits, and best practices of IAC, as well as choosing infrastructure-as-code tools for your organization. What is infrastructure as code? Consistency.

Best Practices 202

Best Practices Infrastructure Code Speed 202

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 193

Government Analytics Benchmarking Storage 193

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 174

Engineering Tuning Latency Open Source 174

Dynatrace

APRIL 20, 2023

Modern organizations ingest petabytes of data daily, but legacy approaches to log analysis and management cannot accommodate this volume of data. At Dynatrace Perform 2023 , Maciej Pawlowski, senior director of product management for infrastructure monitoring at Dynatrace, and a senior software engineer at a U.K.-based

Analytics 180

Analytics Infrastructure Storage Efficiency 180

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. Grail architectural basics.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 174

Infrastructure Monitoring Artificial Intelligence Open Source 174

Dynatrace

JULY 11, 2023

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Captures metrics, traces, logs, and other telemetry data in context.

Architecture 164

Architecture Availability Infrastructure Metrics 164

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 171

Serverless Architecture Open Source Innovation 171

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

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 177

DevOps Analytics Storage Metrics 177

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 189

Architecture DevOps Monitoring Programming 189

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 171

Cloud Artificial Intelligence Innovation Architecture 171

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy.

Analytics 181

Analytics Artificial Intelligence Big Data Open Source 181

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

Dynatrace

APRIL 17, 2024

Without combining these signals in a unified AI-powered observability platform, monitoring apps, infrastructure, and troubleshooting issues are nothing more than a patchwork of manual correlation. It’s also easy to minimize the risk of violating data access policies or regulations by masking sensitive data in logs.

Operating System 197

Operating System Energy Infrastructure Architecture 197

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 179

Analytics Innovation Metrics Database 179

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.

Infrastructure 192

Infrastructure Monitoring Virtualization Serverless 192

Dynatrace

JUNE 10, 2024

Security analytics combines data collection, aggregation, and analysis to search for and identify potential threats. Using a combination of historical data and information collected in real time, security teams can detect threats earlier in the SDLC. Infrastructure type In most cases, legacy SIEM tools are on-premises.

Analytics 224

Analytics Network Hardware Open Source 224

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle. However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex.

Analytics 184

Analytics Software Software Storage 184

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 173

Azure Analytics Artificial Intelligence Innovation 173

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 178

Analytics Java Infrastructure Cloud 178

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 219

Storage Government Network Infrastructure 219

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 179

Performance DevOps Innovation Artificial Intelligence 179

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 186

Open Source Google Serverless Azure 186

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. What is generative AI?

Artificial Intelligence 222

Artificial Intelligence Cloud Best Practices DevOps 222

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

JUNE 12, 2023

So why not use a proven architecture instead of starting from scratch on your own? This blog provides links to such architectures — for MySQL and PostgreSQL software. You can use these Percona architectures to build highly available PostgreSQL or MySQL environments or have our experts do the heavy lifting for you.

Architecture 93

Architecture Availability Open Source Healthcare 93

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Worse, a malicious attacker may gain access to the network, compromising sensitive application data. But this approach merely perpetuates data silos and cloud complexity.

Network 208

Network Monitoring Performance Traffic 208

Dynatrace

DECEMBER 13, 2023

By deploying applications as many separate microservices managed by Kubernetes, these environments can become complicated, especially if the organization has a multi-cloud, hybrid-cloud architecture, or is using elements of a legacy-cloud environment. So many tools can result in data inconsistencies.

Google 218

Google Cloud Infrastructure Metrics 218

Dynatrace

NOVEMBER 4, 2022

A new Dynatrace report highlights the challenges for government and public-sector organizations as they increasingly rely on cloud-native architectures—and a corresponding data explosion. This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. .

Government 147

Government Analytics Cloud Storage 147

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. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

IO River

NOVEMBER 2, 2023

What is CDN Architecture?‍CDN CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs. The two fundamentals of a CDN architecture revolve around distribution and capacity. Five Nines availability or 99.999%, also referred to as "the gold standard" significantly reduces downtime (5.26

Architecture 52

Architecture Cache Performance Latency 52