Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 193

Software Software Analytics Big Data 193

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

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum Advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 226

Analytics Storage Infrastructure Metrics 226

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 182

Cloud Artificial Intelligence Innovation Analytics 182

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

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

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. In that case, the use of separate buckets makes it easier to distinguish different stages, keeping production data separate from development or staging data. Keeping these logs separate decreases the data volume for other troubleshooting logs.

Artificial Intelligence 266

Artificial Intelligence Analytics Metrics Storage 266

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. and 2.14.1.

Serverless 271

Serverless Infrastructure Innovation DevOps 271

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys. What is predictive AI? What is AIOps?

AWS 214

AWS Artificial Intelligence Analytics Cloud 214

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. organizations have over 100 custom applications in development and testing today.

Analytics 130

Analytics Storage Cloud Code 130

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.

Artificial Intelligence 180

Artificial Intelligence DevOps Analytics Cloud 180

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. How will organizations and cybersecurity teams keep up with the “relentless pace of AI development,” as the keynote asks? They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems.

DevOps 190

DevOps Analytics Best Practices Java 190

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

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 233

AWS Lambda Artificial Intelligence Serverless 233

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. However, we noticed that GPT 3.5

Engineering 185

Engineering Tuning Latency Open Source 185

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

NOVEMBER 22, 2022

Instead, to speed up response times, applications are now processing most data at the network’s perimeter, closest to the data’s origin. They also need a way to track all the services running on their distributed architectures, from multicloud environments to the edge. What is always-on infrastructure?

Infrastructure 188

Infrastructure Availability Systems Retail 188

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. These feedback loops allow you to develop more accurate assessments when deploying new versions or updates related to Redis® infrastructure.

Strategy 130

Strategy Monitoring Latency DevOps 130

Strategic Tech

FEBRUARY 19, 2020

I’ve been disappointed for a long time with the way in which companies organise software development teams. I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. Please feel free to contact me.

Architecture 64

Architecture Strategy Design Software Architecture 64

Dynatrace

DECEMBER 15, 2022

We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. Adding application security to development and operations workflows increases efficiency.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

All Things Distributed

NOVEMBER 15, 2016

The data infrastructure to collect, store, and process data is geared primarily towards developers and IT professionals whereas insights need to be derived by not just technical professionals but also non-technical business users. Put simply, data is not always readily available and accessible to organizational end users.

Analytics 152

Analytics Availability Media Social Media 152

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. Over the past 18 months, the need to utilize cloud architecture has intensified. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. 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.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

OCTOBER 17, 2022

This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI. DevOps: Applying AIOps to development environments. AIOps supports that with the ability to assess applications during development, delivery, and deployment. Achieving autonomous operations.

DevOps 202

DevOps Artificial Intelligence Healthcare Innovation 202

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.

Infrastructure 182

Infrastructure Monitoring Artificial Intelligence Open Source 182

Dynatrace

JULY 30, 2021

Progressive Delivery enables speeding up while managing the risk of software deployments and configuration changes. Those strategies allow development teams to decouple the tasks of deployment (rolling out a new binary to production) from releasing (making it accessible by your end-users). Dynatrace news. Step 3: SLOs.

Cloud 236

Cloud Metrics Strategy Monitoring 236

Dynatrace

JANUARY 5, 2022

In recent years, customer projects have moved towards complex cloud architectures, including dozens of microservices and different technology stacks which are challenging to develop, maintain, and optimize for resiliency. The test management tool we developed can be used to call different user interfaces of our test automation, i.e.

Testing 223

Testing Open Source Metrics Infrastructure 223

Dynatrace

MAY 7, 2019

It enables enterprises to more quickly develop, deploy and scale cloud native applications by delivering a smarter Kubernetes platform. Traditional monitoring systems cannot keep up with the speed of change in those highly dynamic large-scale container environments. Universal container-level metrics for resource contention analytics.

Monitoring 206

Monitoring Architecture Metrics Analytics 206

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. Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Simplify error analytics. Understand and optimize your architecture. Dynatrace news.

Serverless 143

Serverless Azure Monitoring Lambda 143

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.

AWS 252

AWS Efficiency Azure Cloud 252