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 186

Cloud DevOps Open Source Retail 186

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.

Database 241

Database DevOps Analytics Servers 241

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Some companies are still using different tools for application performance monitoring, infrastructure monitoring, and log monitoring. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 259

Cloud Azure Analytics AWS 259

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 185

DevOps Analytics Best Practices Java 185

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Figure 1: Sample RAG architecture While this approach significantly improves the response quality of GenAI applications, it also introduces new challenges.

Cache 204

Cache Azure Infrastructure Monitoring 204

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 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 166

Lambda AWS Serverless Infrastructure 166

Dynatrace

JANUARY 23, 2024

Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. Why growing AI adoption requires an AI observability strategy – blog While AI adoption brings operational efficiency and innovation for organizations, it also introduces the potential for runaway AI costs.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

The Netflix TechBlog

JANUARY 13, 2022

Pensive infrastructure comprises two separate systems to support batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. In the future, we are looking to automate this process.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. As you build applications and rely more and more on Lambda architectures you need full observability of all tiers of the supporting infrastructure.

Lambda 130

Lambda AWS Serverless Infrastructure 130

Dynatrace

DECEMBER 15, 2022

In this blog, we share three log ingestion strategies from the field that demonstrate how building up efficient log collection can be environment-agnostic by using our generic log ingestion application programming interface (API). Yet observability into syslog data on Dynatrace would help you monitor and troubleshoot infrastructure.

Strategy 180

Strategy AWS Open Source Transportation 180

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. appeared first on Dynatrace blog. How organizations benefit from automating IT practices.

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

JANUARY 13, 2021

This recognition follows Dynatrace’s top placement across recent G2 Grid® Reports, including AIOps Platforms , Cloud Infrastructure Monitoring , Container Monitoring , Digital Experience Monitoring , Session Replay and Application Performance Monitoring. Earned the AI Breakthrough Award for Best Overall AI-based Analytics Company.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Pricing the actual usage is integral to the financial accountability with the cloud architecture variable spend model. Read more about Grail buckets and access policies from this blog. Transparency.

Retail 237

Retail Storage Best Practices Architecture 237

Dynatrace

JANUARY 28, 2021

For today’s highly dynamic and exceedingly complex production environments, performance problems that are evident at the service level (for example, slow response times or failed requests) are often the result of underlying (cloud) infrastructure issues. Note : This Early Adopter feature is limited to OpenTelemetry Go version 0.13.0

Traffic 166

Traffic Open Source Servers Cloud 166

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. How service-level objectives work with SLIs to deliver on SLAs appeared first on Dynatrace blog. Dynatrace news.

Metrics 191

Metrics Best Practices DevOps Infrastructure 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.

AWS 246

AWS Efficiency Azure Cloud 246

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

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. IT operations teams need ways to monitor infrastructure, even if it’s not within their data centers and under their direct management.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

JANUARY 12, 2022

In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Finally, you can configure and activate them there. New to Dynatrace?

Analytics 186

Analytics Systems DevOps Healthcare 186

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 177

Serverless Architecture Open Source Innovation 177

The Netflix TechBlog

JULY 30, 2019

In this blog, we would like to present the latest updates to Conductor, address some of the frequently asked questions and thank the community for their contributions. Instead, we use a wrapper that pulls in the latest version of Conductor and adds Netflix infrastructure components and libraries before deployment.

Lambda 189

Lambda Media Open Source Metrics 189

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. Grail architectural basics. Work with different and independent data types.

Artificial Intelligence 267

Artificial Intelligence Analytics Storage Architecture 267

ACM Sigarch

MARCH 18, 2019

With two blog posts, we argue for more use of simple models beyond Amdahl’s Law. Developing simulators, however, is time-consuming and requires a great deal of infrastructure development regarding a prospective system. To this end, we present three simple models that we find useful like Amdahl’s Law, split here into two blog posts.

Systems 60

Systems Latency Performance Analytics 60

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 237

Performance Speed Google Media 237

Dynatrace

APRIL 17, 2024

Without combining these signals in a unified AI-powered observability platform, monitoring apps, infrastructure, and troubleshooting issues are nothing more than a patchwork of manual correlation. You can now install OneAgent on Linux with s390 architecture. Next, set up log ingest. Are you running containerized applications on IBM Z?

Operating System 205

Operating System Energy Infrastructure Architecture 205

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 179

Infrastructure Monitoring Artificial Intelligence Open Source 179

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 265

Serverless Infrastructure Innovation DevOps 265

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Traditional monolithic architectures are built around the concept of large applications that are self-contained, independent, and incorporate myriad capabilities. What is monolithic architecture?

Architecture 195

Architecture DevOps Monitoring Programming 195

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

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

Edge Perspectives

JANUARY 21, 2019

I recently wrote a blog post suggesting that the ultimate test of transformation is whether the caterpillar became a butterfly – is it so different that it’s unrecognizable? It’s Martin Luther King Day in the US and I can’t think of a better day to declare that I have a dream and to explore that dream in a blog post.

Innovation 104

Innovation Scalability Efficiency Mobile 104

Jos

JUNE 2, 2018

You will work hard on implementing features, collaborating with other teams (eg adding scripts for analytics, ads, retargeting, A/B test), setting up CI/CD, ensuring security, and making sure the project is usable and pleasant to the eye. How would you architecture a non-trivial size web project (client, server, databases, caching layer)?

Performance 130

Performance Speed Google Media 130

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 179

Artificial Intelligence DevOps Performance Games 179