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 182

Software Software Analytics Big Data 182

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 195

Government Analytics Benchmarking Storage 195

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 210

Open Source Analytics Metrics Cloud 210

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

The Netflix TechBlog

JUNE 7, 2021

Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. 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 326

Network Transportation AWS Cloud 326

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 188

Artificial Intelligence Analytics Cloud Innovation 188

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 257

Cloud Azure Analytics AWS 257

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., We also couldn’t compromise on performance and availability.” shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure.

Cloud 167

Cloud Ecommerce Performance Retail 167

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.

Java 180

Java Analytics Infrastructure Cloud 180

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 200

Cache Azure Infrastructure Monitoring 200

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 171

Artificial Intelligence DevOps Analytics Cloud 171

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. This significantly increases event latency.

Engineering 176

Engineering Tuning Latency Open Source 176

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 267

Data Engineering Engineering Processing Games 267

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 204

Cloud Energy Best Practices Cache 204

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. Reliability.

Software 258

Software Software Benchmarking Latency 258

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Lambda functions allow teams to run code for applications, back-end services, streaming processing, or any layer of the stack with less overhead. How does Dynatrace help?

Lambda 210

Lambda AWS Serverless Latency 210

Dynatrace

NOVEMBER 28, 2022

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying OS, infrastructure, and services. Simplify error analytics. Understand and optimize your architecture.

Lambda 220

Lambda AWS Serverless Latency 220

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

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

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

Dynatrace

DECEMBER 16, 2022

Don’t put resources into building a platform that is available off the shelf. 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. Automation at scale.

Innovation 191

Innovation Software Software Cloud 191

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. One of the powerful workflows to leverage is continuous release validation.

AWS 242

AWS Efficiency Azure Cloud 242

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. It’s practically impossible for teams to modernize when they can’t visualize all the dependencies within their infrastructure, processes, and services.

Government 198

Government Infrastructure Programming Cloud 198

Dynatrace

MARCH 24, 2023

Container orchestration is a process that automates the deployment and management of containerized applications and services at scale. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. The post What is container orchestration?

Infrastructure 181

Infrastructure Open Source Operating System Cloud 181

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets?

Metrics 186

Metrics Best Practices DevOps Infrastructure 186

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 197

Artificial Intelligence DevOps Hardware Virtualization 197

Dynatrace

MAY 7, 2019

Red Hat just announced the availability of their OpenShift 4.0 They fail to understand the deployment architecture and dependencies and aren’t able to deal with the ephemeral nature of containers. Universal container-level metrics for resource contention analytics. Dynatrace news. environments from day one of its release.

Monitoring 200

Monitoring Architecture Metrics Analytics 200

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

JULY 30, 2021

Compare releases and look out for architectural regressions by having transactional level version awareness. To make it easier let me walk you through the things I have learned in this video so you can bring Dynatrace Cloud Automation to your progressive delivery process. Ensure your SLOs are met while rolling out a Canary.

Cloud 228

Cloud Metrics Strategy Monitoring 228

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 181

Performance DevOps Innovation Energy 181

InfoQ

AUGUST 7, 2024

Canva evaluated different data massaging solutions for its Product Analytics Platform, including the combination of AWS SNS and SQS, MKS, and Amazon KDS, and eventually chose the latter, primarily based on its much lower costs. The company compared many aspects of these solutions, like performance, maintenance effort, and cost.

AWS 86

AWS Analytics Performance Data Engineering 86

Dynatrace

OCTOBER 14, 2022

All this is easier said than done because: Kubernetes-based dynamic architecture is becoming the norm. OneAgent processes rules precisely in this order, with host scope rules processed before host group and tenant scope rules. Sensitive data masking will be available in Dynatrace version 1.253 and require OneAgent 1.243+.

Storage 221

Storage Government Network Monitoring 221

The Netflix TechBlog

MARCH 5, 2019

This operational component places some cognitive load on our engineers, requiring them to develop deep understanding of telemetry and alerting systems, capacity provisioning process, security and reliability best practices, and a vast amount of informal knowledge about the cloud infrastructure.

Infrastructure 183

Infrastructure Cloud Scalability AWS 183

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

VoltDB

AUGUST 8, 2024

Unfortunately, many organizations lack the tools, infrastructure, and architecture needed to unlock the full value of that data. Real-time data platform defined A real-time data platform is designed to ingest, process, analyze, and act upon data instantaneously — right when it’s generated or received. In a world where 2.5

IoT 52

IoT Latency Traffic Logistics 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. How-to documentation is readily available. It’s well-suited for organizations that require mission-critical applications with high availability. PostgreSQL is open source relational database management software.

Open Source 81

Open Source Healthcare Social Media Database 81