Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 192

Software Software Analytics Big Data 192

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Improving data quality is a strategic process that involves all organizational members who create and use data. Another common impediment is manual data tagging and handling, an error-prone process that teams should minimize.

Government 205

Government Analytics Benchmarking Storage 205

Dynatrace

FEBRUARY 12, 2024

In protecting critical data and resources, ZT also establishes continuous multi-factor authentication, micro-segmentation, encryption, endpoint security, automation, and analytics, per the Department of Defense (DoD) Zero Trust Reference Architecture. “In

Government 184

Government Analytics Network Traffic 184

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 188

DevOps Analytics Storage Metrics 188

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 281

Efficiency Performance Analytics DevOps 281

Dynatrace

JULY 11, 2023

By ingesting OTLP logs into Dynatrace, you can utilize the Grail™ data lakehouse and its massively-parallel processing analytics engine. Native support for OpenTelemetry (OTLP) logs also supports enterprises that have highly diverse technical architectures.

Open Source 220

Open Source Analytics Metrics Cloud 220

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

SEPTEMBER 14, 2023

For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records. Such a gigantic log analysis system is part of their cybersecurity management.

Analytics 124

Analytics Storage Architecture Scalability 124

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

DZone

JUNE 11, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Before version 4.0, it could be difficult to efficiently troubleshoot TiDB's system problems.

Database 246

Database Open Source Analytics Architecture 246

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. “At one point, we saw a process that was causing a lot of CPU contention.

Cloud 175

Cloud Ecommerce Performance Retail 175

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. … But it is also about process automation.

Artificial Intelligence 199

Artificial Intelligence Analytics Cloud Innovation 199

Dynatrace

APRIL 13, 2023

It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Cloud infrastructure and applications scale dynamically, which generates a large volume of logs at high This can make it challenging to process, store, and analyze them in real time. Time and resources.

Analytics 190

Analytics Java Infrastructure Cloud 190

The Netflix TechBlog

JUNE 7, 2021

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. After several iterations of the architecture and some tuning, the solution has proven to be able to scale. What is BPF?

Network 325

Network Transportation AWS Cloud 325

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 192

Cloud DevOps Open Source Retail 192

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 261

Cloud Azure Analytics Open Source 261

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. As a result, IT organizations are overwhelmed as they strive to balance cost control processes with ensuring that their respective organizations have access to all the data required for their various use cases. Ingest and process.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. What is machine learning?

Artificial Intelligence 179

Artificial Intelligence DevOps Analytics Cloud 179

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

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. Reduce inter-process communications overhead. Implement intelligent retry and failover processes. Is the solution to just move all workloads to the cloud?

Cloud 214

Cloud Energy Best Practices Cache 214

Dynatrace

FEBRUARY 16, 2023

Observability industry themes to watch Perhaps the most significant industry trend is the shift from traditional, on-premises environments to multicloud or cloud-native architectures. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 175

Analytics Innovation Cloud Scalability 175

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

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

The Netflix TechBlog

JANUARY 13, 2022

Batch Pensive Batch Pensive Architecture Batch workflows in the data platform run using a Scheduler service that launches containers on the Netflix container management platform called Titus to run workflow steps. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

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

DECEMBER 16, 2022

AI-powered precise answers and timely insights with ad-hoc analytics. Successful platform adoption requires a platform to be easy to use and integrate with other architectures, applications, and data sources. Learn more about the Dynatrace platform and its Cloud Done Right architecture. Automation at scale.

Innovation 202

Innovation Software Software Cloud 202

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Their scalability, comparatively low cost, and support for advanced analytics and machine learning have helped fuel AI’s rapid enterprise adoption. Government.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

NOVEMBER 28, 2022

Dynatrace provides AWS Lambda metrics monitoring in less than five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level. Simplify error analytics. Understand and optimize your architecture. How does Dynatrace help? No manual configuration is necessary.

Lambda 229

Lambda AWS Serverless Latency 229

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 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

APRIL 7, 2023

Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JUNE 15, 2023

Cloud application security is a combination of policies, processes, and controls that aim to reduce the risk of exposing cloud-based applications to compromise or failure from external or internal threats. This process can delay deployments or cause developers to skip security testing completely to meet project deadlines.

Cloud 181

Cloud Open Source Architecture Monitoring 181

Dynatrace

JANUARY 23, 2024

The following resources provide more information on how to get the most out of your AI investment, the importance of data quality for business success, and automating manual IT processes to prioritize innovation. Teams face siloed processes and toolsets, vast volumes of data, and redundant manual tasks.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps. So, what is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208