DZone

APRIL 26, 2022

This is a republish of a blog on VentureBeat by Wei Li, Intel VP/GM, AI and Analytics (AIA). What’s more is that this AI performance boost driven by software optimizations is free, requiring almost no code changes or developer time and no additional hardware costs.

Software 130

Software Software Performance Hardware 130

Dynatrace

DECEMBER 27, 2022

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality.

Software 263

Software Software Benchmarking Latency 263

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. The Dynatrace platform allows security teams to automate continuous discovery, proactively detect anomalies, and optimize across the software lifecycle.

Analytics 201

Analytics Infrastructure Efficiency Technology 201

Dynatrace

JULY 11, 2023

Dynatrace has supported the OpenTelemetry project for years as a key contributor and contributed to its rise to a popular open source observability framework for cloud-native software. By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine.

Open Source 215

Open Source Analytics Metrics Cloud 215

Dynatrace

JUNE 9, 2023

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. From a technical perspective, however, cloud-based analytics can be challenging. Research has found that 99% of organizations have embraced a multicloud architecture.

DevOps 184

DevOps Analytics Storage Metrics 184

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. Throw in behavioral analytics, metadata, and real-user data. … We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 194

Artificial Intelligence Analytics Cloud Innovation 194

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 187

Cloud DevOps Open Source Retail 187

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 177

Cloud Artificial Intelligence Innovation Analytics 177

Dynatrace

AUGUST 7, 2023

They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Second, for causal AI to provide a deep and rich context to unleash GPT’s full potential for software delivery and productivity use cases.”

DevOps 185

DevOps Analytics Best Practices Java 185

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 229

AWS Lambda Artificial Intelligence Serverless 229

The Netflix TechBlog

JUNE 7, 2021

Netflix software infrastructure is a large distributed ecosystem that consists of specialized functional tiers that are operated on the AWS and Netflix owned services. Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the cloud network infrastructure to address the identified problems.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

JANUARY 22, 2024

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. The post Causal AI use cases for modern observability that can transform any business appeared first on Dynatrace news.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Dynatrace

FEBRUARY 16, 2023

Every company is becoming a software company,” said Dynatrace Chief Marketing Officer Mike Maciag, during a Perform 2023 conference keynote on the role of observability in driving enterprise success. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 171

Analytics Innovation Cloud Scalability 171

Dynatrace

JUNE 15, 2023

Incorporating cloud application security practices is an effective way for organizations to avoid application security risks, ensure a smoothly running software development lifecycle (SDLC), and establish an overall strong security posture. However, open source software is often a vector for security vulnerabilities.

Cloud 177

Cloud Open Source Architecture Monitoring 177

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 259

Cloud Azure Analytics AWS 259

ScaleOut Software

JUNE 29, 2018

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. These priorities tend to push the architecture to the back burner.

Software Architecture 40

Software Architecture Architecture Software Software 40

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Likewise, the term "architect" didn't enter popular usage to describe a role in the software field until the late 1990s. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved.

Strategy 100

Strategy Architecture Technology Technology 100

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

Engineering 180

Engineering Tuning Latency Open Source 180

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 191

Analytics Software Software Storage 191

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . This can saturate the client’s CPU and delay responses, as illustrated in the following diagram: ScaleOut StateServer Pro: Integrated Data Analytics. Take a look at how integrated data analytics can help client applications.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Application architectures might not be conducive to rehosting. Dynatrace Smartscape® automatically adds real-time dependency and architectural context, from hosts to processes to software services.

Cloud 209

Cloud Energy Best Practices Cache 209

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Simplify error analytics. Understand and optimize your architecture. Optimize timing hotspots.

Lambda 225

Lambda AWS Serverless Latency 225

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. This phase covers bringing your data into Dynatrace software as a service (SaaS) via whichever ingestion channel or method. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

APRIL 7, 2023

Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 216

Lambda AWS Serverless Latency 216

The Netflix TechBlog

JANUARY 25, 2023

All data should be also available for offline analytics in Hive/Iceberg. Marken architecture Above picture represents the block diagram of the architecture for our service. Our architecture makes it possible to easily onboard and ingest data from Media algorithms. zookeeper service, internationalization service etc.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. A container is a small, self-contained, fully functional software package that can run an application or service, isolated from other applications running on the same host.

Infrastructure 186

Infrastructure Open Source Operating System Cloud 186

ScaleOut Software

SEPTEMBER 25, 2020

Check out this new video which depicts the challenges in using conventional tools for streaming analytics to track and respond to thousands of data sources in a live system. Here’s how to learn more: To learn more about the value of real-time digital twins in streaming analytics, click here.

Software 52

Software Software Entertainment Analytics 52