Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. So how can organizations ensure data quality, reliability, and freshness for AI-driven answers and insights?

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. This leads to a more efficient and streamlined experience for users. Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems.

Efficiency 213

Efficiency Virtualization Hardware Performance 213

DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. What Are Edge Data Platforms? These platforms offer several advantages over traditional cloud computing.

IoT 130

IoT Media Latency Storage 130

DZone

JUNE 7, 2023

ERP systems are crucial in modern software development because they integrate various organizational departments and functions. They provide a centralized platform that promotes seamless communication and data exchange between software applications, reducing data silos.

Systems 169

Systems Software Software Development 169

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle.

Processing 64

Processing Software Software Development 64

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 179

Azure Analytics Artificial Intelligence Innovation 179

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 206

Speed Software Software Latency 206

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. Data supports this need for organizations to flex and modernize. Conversely, an open platform can promote interoperability and innovation.

Innovation 196

Innovation Software Software Cloud 196

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

SEPTEMBER 3, 2020

Commonly, AIOps solutions’ typical characteristics are to ingest pre-aggregated data from various solutions across the IT management tooling landscape and conclude what is of relevance in order to focus the user’s attention to the relevant situations. The second major concern I want to discuss is around the data processing chain.

Software 264

Software Software Artificial Intelligence Metrics 264

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 226

Storage Government Network Infrastructure 226

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 267

Open Source Hardware DevOps Infrastructure 267

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. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

MARCH 28, 2024

Lest readers believe that business digital transformation has fallen out of fashion, recent data suggests that digital transformation initiatives are still high on the agenda for today’s leaders. According to IDC, AI technology will be inserted into the processes and products of at least 90% of new enterprise apps by 2025.

C++ 184

C++ Artificial Intelligence DevOps Innovation 184

Dynatrace

DECEMBER 21, 2023

Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Level 1: Data centers This is the starting point for most organizations. A PUE of 1.0

Cloud 208

Cloud Energy Best Practices Cache 208

DZone

MARCH 13, 2024

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

Benchmarking 141

Benchmarking Tuning Performance Open Source 141

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. SREs invest significant effort in enhancing software reliability, scalability, and dependability.

Engineering 225

Engineering DevOps Innovation Strategy 225

Dynatrace

OCTOBER 19, 2023

With the increasing frequency of cyberattacks, it is imperative to institute a set of cybersecurity best practices that safeguard your organization’s data and privacy. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 208

Best Practices Benchmarking Speed Infrastructure 208

Dynatrace

MAY 2, 2024

With the ability to generate new content—such as images, text, audio, and other data—based on patterns and examples taken from existing data, organizations are rushing to capitalize on the AI model. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

Artificial Intelligence 228

Artificial Intelligence Cloud Best Practices DevOps 228

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

MARCH 27, 2024

In any case, three building blocks are required to connect the right information to software artifacts. However, as software changes continuously due to new deployments and releases, so can responsibilities. Secondly, knowing who is responsible is essential but not sufficient, especially if you want to automate your triage process.

Best Practices 198

Best Practices Azure Database Code 198

Official Blog - World Web Technology

JULY 7, 2023

Businesses increasingly rely on ecommerce software solutions to automate their processes and boost productivity as demand for online shopping keeps rising. Online sales, inventory, customer connections, and other business operations can all be managed by firms using various tools and platforms that make up ecommerce software solutions.

Ecommerce 52

Ecommerce Software Software Analytics 52

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue.

Infrastructure 180

Infrastructure Metrics Network Monitoring 180

Dynatrace

OCTOBER 30, 2023

With higher demand for innovation, IT teams are working diligently to release high-quality software faster. Data proliferation and the increased complexity of modern multicloud environments are nearly impossible to manage without automation. Quality and security gates help with understanding not only software quality but also security.

Engineering 245

Engineering DevOps Innovation Storage 245

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. How do we make the data accessible beyond the use cases that Dynatrace gives you, beyond observability and security?”

Innovation 196

Innovation DevOps Cloud Efficiency 196

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. For example?—?clinical

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

FEBRUARY 28, 2024

Validation stage overview The validation stage is a crucial step in the CI/CD (Continuous Integration/Continuous Deployment) process. Foremost among these is the complexity associated with data gathering and analysis. It involves carefully examining the test results from the previous testing phase.

DevOps 202

DevOps Metrics Engineering Analytics 202

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. Data indicates these technology trends have taken hold. In 2024, more organizations will experience major digital service outages due to poor-quality and insufficiently supervised software code. Technology prediction No.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. What are the best practices that form the DevSecOps maturity model? Release validation.

Best Practices 261

Best Practices DevOps Education Serverless 261

Dynatrace

OCTOBER 23, 2023

At financial services company, Soldo, efficiency and security by design are paramount goals. Safeguarding against vulnerabilities, data breaches, and emerging threats while meeting regulatory compliance, legal requirements, and customer expectations borders on the impossible without a holistic approach.

Design 216

Design Innovation DevOps Open Source 216

Scalegrid

NOVEMBER 29, 2023

The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice. Your data will always be intact.

Healthcare 130

Healthcare Hardware Database Scalability 130

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Reliability space, our data teams focus on two main approaches. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182