Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. Because FaaS is a cloud-native approach, it makes great use of multisite cloud architecture to improve availability and reliability.

Development 259

Development Serverless Best Practices Lambda 259

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 289

Serverless AWS Lambda Storage 289

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. Learn more.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

AUGUST 9, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management survey. Therefore, keep a close eye on your dependencies—especially when you’re breaking monolithic applications into a microservices architecture. Dynatrace news. Don’t end up with a micro-lith! Automate everything you can.

Speed 116

Speed Innovation DevOps Cloud 116

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). This improves query speeds and reduces related costs for all other teams and apps.

Artificial Intelligence 268

Artificial Intelligence Analytics Metrics Storage 268

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. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 274

Serverless Infrastructure Innovation DevOps 274

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

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. Common questions include: Where do bottlenecks occur in our architecture? How can we optimize for performance and scalability? Next steps.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

MAY 23, 2022

As a result, while cloud architecture has enabled organizations to develop applications iteratively, it also increased exposure to vulnerabilities. Software intelligence as code enables tailored observability, AIOps, and application security at scale – blog. AIOps capabilities drive intelligent cloud observability – blog.

Strategy 232

Strategy Innovation Cloud Serverless 232

The Netflix TechBlog

SEPTEMBER 24, 2021

Our previous tech blog Packaging award-winning shows with award-winning technology detailed our packaging technology deployed on the streaming side. Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram.

Cloud 237

Cloud Media Storage Cache 237

MachMetrics

JANUARY 4, 2019

The way a website is constructed can have a major impact on website speed performance, but developers often have a hard time keeping track of factors that cause slow page loads and other speed-related issues. The PageSpeed Module is one of several free Google tools designed to help assess and improve page load speed times.

Speed 60

Speed Website Open Source Google 60

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. The demands of digital transformation can create a difficult tightrope for organizations to walk.

Artificial Intelligence 192

Artificial Intelligence Performance Innovation Speed 192

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. This is a big topic to cover in a summary blog, so we’ll narrow the topic to center on market drivers and challenges. The post Amplify PowerUP: From APM to Observability appeared first on Dynatrace blog.

DevOps 226

DevOps Innovation Cloud Programming 226

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Observability vs. monitoring: What’s the difference? – Blog.

Artificial Intelligence 188

Artificial Intelligence DevOps Performance Games 188

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 causal AI? What is AIOps?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

JULY 12, 2022

It reveals the majority of organizations have adopted multicloud environments, cloud-native architectures, and open source code libraries to support efforts to deliver new digital solutions to customers. The post Observability and security must converge as the financial services sector goes cloud-first appeared first on Dynatrace blog.

Cloud 180

Cloud Open Source Innovation Serverless 180

Strategic Tech

FEBRUARY 19, 2020

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. Speed of learning is key, meaning processes and technical practices change. I crave structure and analytical thinking patterns to design optimal solutions.

Architecture 64

Architecture Strategy Design Software Architecture 64

Dynatrace

JUNE 10, 2022

In turn, IAC offers increased deployment speed and cross-team collaboration without increased complexity. But this increased speed can’t come at the expense of control, compliance, and security. Making the move to IAC offers multiple benefits, including the following: Speed. The post What is infrastructure as code?

Best Practices 218

Best Practices Infrastructure Code Speed 218

DZone

FEBRUARY 27, 2021

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed.

Java 207

Java C++ Benchmarking Programming 207

Dynatrace

JANUARY 23, 2023

As our CTO Bernd Greifeneder shared in his blog post , what was a relatively small software release resulted in a large number of our customers b eing una ble to access their Dynatrace environments. Accelerate the Dynatrace Status portal update delivery speed and review our accessibility to Tech Support in such cases [In Progress].

Social Media 130

Social Media Cache Traffic Media 130

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. The Greenplum Architecture. The Greenplum Architecture. In order to get a good understanding of the Greenplum architecture, let’s first look at what an MPP database is.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

AUGUST 2, 2021

Hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. Here’s a list of some key hyperscale benefits: Speed : Hyperscale makes it easy to manage your shifting computing needs. appeared first on Dynatrace blog. But what does that look like? What is hyperscale?

Azure 264

Azure Cloud Google AWS 264

Dynatrace

SEPTEMBER 8, 2022

Using Dynatrace on Microsoft Azure allows customers to leverage all the benefits of the Dynatrace platform’s underlying cloud-native, web-scale architecture while operating entirely in the Azure cloud. The post Dynatrace and Microsoft Azure integrate to help accelerate your cloud transformation appeared first on Dynatrace blog.

Azure 237

Azure Cloud Virtualization Metrics 237

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 229

Open Source DevOps Java Innovation 229

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.” Understand and optimize your architecture. Dynatrace news. Azure Functions in a nutshell.

Serverless 241

Serverless Azure Monitoring Lambda 241

Dynatrace

JANUARY 14, 2022

The Akamas vision is that only an autonomous optimization approach powered by AI can effectively enable performance engineers, SREs, and architects to identify the best configurations that ensure maximum service performance and resilience, at the lowest possible cost and at business speed.

Latency 213

Latency Tuning Efficiency AWS 213

Dynatrace

AUGUST 7, 2023

This combined approach provides reliable answers for two key purposes,” wrote Dynatrace CTO Bernd Greifeneder in a May 2023 blog post. And why runtime vulnerability detection makes the difference – blog Vulnerability management is an essential part of securing IT operations. What is DevSecOps? Learn how security improves DevOps.

DevOps 194

DevOps Analytics Best Practices Java 194

Dynatrace

JUNE 1, 2022

But with cloud-based architecture comes greater complexity and new vulnerability challenges. Moreover, 51% of respondents say that the speed of modern software delivery makes it easier for vulnerabilities to re-enter production after they have been resolved. Check out the full Dynatrace 2022 CISO Report results here.

Artificial Intelligence 189

Artificial Intelligence Java Strategy Cloud 189

Dynatrace

DECEMBER 9, 2020

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Heterogeneous cloud-native microservice architectures can lead to visibility gaps in distributed traces. Dynatrace news.

Java 242

Java Traffic Strategy Architecture 242

Dynatrace

MAY 4, 2022

Many more currently have plans to develop cloud-native applications based on microservices architectures. Although cloud-native technologies present challenges, IT teams recognize the immense value they bring to improving software quality and increasing the speed of development.

Cloud 191

Cloud DevOps Strategy Monitoring 191

Dynatrace

AUGUST 29, 2022

While this may work for monolithic applications or environments with infrequent releases, this simply does not scale for today’s modern cloud-native environments that are based on microservices-based architectures where new releases occur more frequently from days to hours to minutes. Automating release validation.

DevOps 218

DevOps Benchmarking Cloud Monitoring 218

Dynatrace

JULY 22, 2020

Can mount a volume to speed up injection for subsequent pods. Cloud-native software design, much like microservices architecture, is founded on the premise of speed to delivery via phases, or iterations. Injection is centrally managed. Pods can be selected by using namespaces or pod-level annotations. Pod runtime injection.

Government 168

Government Innovation Strategy Speed 168

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. I, Andreas Grabner, helped to bring the blog to life! T-Systems MMS provides a modern white box testing approach to validating release readiness for complex cloud architectures. Dynatrace news. from other test tools or real users). a Jenkinsfile.

Testing 226

Testing Open Source Metrics Infrastructure 226

Dynatrace

AUGUST 16, 2021

These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Topics in this blog series.

Software 246

Software Software Open Source Azure 246

Dynatrace

AUGUST 30, 2019

A well-established metric we provide is APDEX , which tell us how users are perceiving page load times (time to the first byte, page speed, speed index), errors (JavaScript errors, crashes,) and also factors in the overall user journey (each user interaction) including their environment (browser, geolocation, bandwidth).

Cache 203

Cache Architecture Database Government 203

The Netflix TechBlog

MARCH 13, 2020

As mentioned in our earlier blog post , Intel and Netflix have been collaborating on the SVT-AV1 encoder and decoder framework since August 2018. The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency.

Open Source 154

Open Source Efficiency C++ Speed 154