Dynatrace

AUGUST 17, 2021

To keep pace with the need for innovation and increasing demand, developers need to divvy up resources into “microservices” based on requirements and distribute applications accordingly — as opposed to maintaining a monolithic codebase and resource pool. Understanding monolithic architectures. Dynatrace news.

Architecture 241

Architecture Software Software Development 241

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 264

Efficiency Performance Analytics DevOps 264

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. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is causal AI?

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

JANUARY 3, 2024

Technology is evolving at a rapid pace, and government agencies need to keep up with the latest innovations and trends to deliver better services, enhance security, and optimize performance. In 2024, we expect to see several new developments in AI regulation, with a focus on ensuring the security of AI innovations.

Government 203

Government Innovation Strategy Network 203

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 176

Cloud DevOps Open Source Retail 176

Dynatrace

NOVEMBER 17, 2023

In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. In this blog post, we’ll focus on the first stage of the pipeline, the Build stage.

Innovation 212

Innovation Architecture Code Processing 212

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Therefore, application vulnerabilities can proliferate quickly and threaten sensitive employee or customer data. AIOps capabilities drive intelligent cloud observability – blog.

Strategy 214

Strategy Innovation Cloud Serverless 214

Dynatrace

APRIL 30, 2019

You can read my blog supporting my session titled “ Performance as Code: Lets make it a Standard ” on the Neotys PAC blog. A single indicator is defined as a query against a data source such as a monitoring, testing, security or code quality tool. Queries the results through the defined data sources (Prometheus & Dynatrace).

Architecture 125

Architecture Open Source Azure Metrics 125

The Netflix TechBlog

NOVEMBER 17, 2022

In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. Encoding drastically reduces the amount of video data that needs to be streamed to your device, by leveraging spatial and temporal redundancies that exist in a video.

Network 292

Network Media Innovation Efficiency 292

Percona

AUGUST 9, 2023

MySQL 8 brought a significant architectural transformation by replacing the traditional MyISAM-based system tables with the Transaction Data Dictionary (TDD), a more efficient and reliable approach. the mysql system database was represented by a subdirectory named ‘mysql’ in the data directory. In MySQL 5.7,

Database 77

Database Storage Scalability Games 77

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 196

Cache Azure Infrastructure Monitoring 196

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The rise of cloud-native microservice architectures further exacerbates this change. The data generated by applications to support operational teams has reached overwhelming proportions.

Retail 226

Retail Storage Best Practices Architecture 226

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. They bring a scale and complexity that is well beyond that of the data center world and it isn’t manageable manually.”. Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas.

Artificial Intelligence 178

Artificial Intelligence Performance Innovation Speed 178

The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. 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.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 245

Analytics Open Source Serverless Architecture 245

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams. Dynatrace news.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

JUNE 13, 2022

But with this speed, agility, and innovation come new challenges. Cloud operations and observability boost resilience for American Family – blog. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. The Log4j vulnerability explained (and what to do about it) – blog.

Open Source 211

Open Source DevOps Java Innovation 211

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 223

Analytics Artificial Intelligence Storage Serverless 223

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 175

DevOps Analytics Best Practices Java 175

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Collecting data requires massive and ongoing configuration efforts.

Cloud 254

Cloud Azure Analytics AWS 254

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 257

DevOps Speed Artificial Intelligence Innovation 257

Dynatrace

JULY 12, 2022

With AWS Summit taking place July 12 in New York City, Dynatrace will release new data from its global chief information security officer (CISO) survey, revealing the state of vulnerability management in the financial services sector. Dynatrace news.

Cloud 164

Cloud Open Source Innovation Serverless 164

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. But the cloud is forcing a rethink of tooling, platforms, technologies, and services to power new, agile, applications and application components, that break down silos, and use AI and automation to accelerate innovation.

DevOps 207

DevOps Innovation Cloud Programming 207

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. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 189

Analytics Infrastructure Efficiency Technology 189

Dynatrace

DECEMBER 8, 2021

These rapid changes — as well as the increasing volume and variety of data created — require a new approach to observability. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 216

Cloud Serverless Hardware Operating System 216

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. To drive better outcomes using hybrid cloud architectures, it helps to understand their benefits—and how to orchestrate them seamlessly. What is hybrid cloud architecture?

Infrastructure 172

Infrastructure Cloud Azure AWS 172

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

Infrastructure 194

Infrastructure Cloud Monitoring Metrics 194

Dynatrace

MARCH 3, 2020

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

Performance 234

Performance Education Innovation Software Architecture 234

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. Dynatrace news. Emerging security threats.

Healthcare 218

Healthcare Artificial Intelligence Innovation Strategy 218

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. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Dynatrace news. Learn more here. What is AWS Lambda?

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Understand and optimize your architecture. Dynatrace news.

Serverless 228

Serverless Azure Monitoring Lambda 228

Dynatrace

NOVEMBER 1, 2021

This blog will run through everything you need to know about the Dynatrace/PTC partnership and how Dynatrace can provide more visibility into your PTC environment. Automating this task removes manual instrumentation and frees up more time for your teams, which can be better spent on innovation and business-focused projects.

Innovation 193

Innovation Monitoring Infrastructure Servers 193

The Netflix TechBlog

JUNE 30, 2020

We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play. In this overview, we will shed light on the complexity and magnitude of this journey and update this post with links to deeper technical blogs over time.

Engineering 238

Engineering Entertainment Logistics Innovation 238

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. That’s why it’s important to find ways to automate the influx of data hyperscalers bring. appeared first on Dynatrace blog. But what does that look like? What is hyperscale? The post What’s the hype with hyperscale?

Azure 259

Azure Cloud Google AWS 259

Dynatrace

JULY 7, 2022

In multicloud environments, IT teams often struggle to take timely action given a deluge of data and alerts for issues ranging from system performance, security risks, and application problems. Those application issues can translate into severe financial losses and business harm because of compromised data or abandoned customer loyalty.

Artificial Intelligence 171

Artificial Intelligence Automotive DevOps Infrastructure 171

Dynatrace

DECEMBER 23, 2020

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.

Infrastructure 143

Infrastructure Cloud Monitoring Metrics 143