Dynatrace

DECEMBER 3, 2024

This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.

AWS 256

AWS Cloud Performance Innovation 256

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications.

Scalability 164

Scalability Database Ecommerce Latency 164

Uber Engineering

SEPTEMBER 2, 2021

The team transforms Uber’s ideas into agile, global solutions by designing and implementing scalable solutions. One … The post Streaming Real-Time Analytics with Redis, AWS Fargate, and Dash Framework appeared first on Uber Engineering Blog.

Analytics 141

Analytics AWS Programming Scalability 141

High Scalability

FEBRUARY 25, 2019

This structure works surprisingly well for many important workloads like database, search, and analytics. The admission window provides a small region for recency bursts to avoid consecutive misses when an item is building up its popularity.

Cache 200

Cache Design Analytics Google 200

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. High-performance analytics—no indexing required.

Artificial Intelligence 278

Artificial Intelligence Analytics Storage Architecture 278

Dynatrace

SEPTEMBER 5, 2024

Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. Dynatrace supports scalable data ingestion, ensuring your observability infrastructure grows with your cloud environment.

Innovation 273

Innovation AWS Analytics Storage 273

Dynatrace

MARCH 29, 2023

Today, Dynatrace is announcing that it has successfully achieved Google Cloud Ready – AlloyDB designation in support of an extended integration to Google Cloud’s AlloyDB for PostgreSQL. Google Cloud Ready – AlloyDB is a new designation for the solutions of Google Cloud’s technology partners that integrate with AlloyDB.

Google 231

Google Metrics Cloud Analytics 231

Dynatrace

NOVEMBER 29, 2024

Protect data in multi-tenant architectures To bring you the most value by unifying observability and security in one analytics and automation platform powered by AI, Dynatrace SaaS leverages a multitenancy architecture, enabling efficient and scalable data ingestion, querying, and processing on shared infrastructure.

Storage 202

Storage AWS Azure Architecture 202

Dynatrace

OCTOBER 1, 2021

When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JUNE 27, 2023

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 211

AWS Cloud Lambda Analytics 211

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Scalable and easy Prometheus support for Kubernetes. By directly and automatically feeding Prometheus data from metric exporters, Dynatrace solves the scalability problem. Dynatrace now provides a direct solution for this challenge.

Open Source 261

Open Source Metrics Analytics Tuning 261

Dynatrace

AUGUST 22, 2024

As end-to-end observability has become critical, we believe this placement reflects our commitment to delivering innovation that helps our customers solve their most complex business challenges with AI-powered observability, analytics, and automation.

Analytics 205

Analytics Innovation Website Scalability 205

Dynatrace

NOVEMBER 7, 2023

The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world. The ability to effectively manage multi-cluster infrastructure is critical to consistent and scalable service delivery. Automation, automation, automation.

Engineering 285

Engineering DevOps Best Practices Infrastructure 285

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. IBM i is designed to integrate seamlessly with legacy and modern applications, allowing businesses to run critical workloads and applications.

Monitoring 246

Monitoring Infrastructure Metrics Operating System 246

Dynatrace

OCTOBER 8, 2020

Although the adoption of serverless functions brings many benefits, including scalability, quick deployments, and updates, it also introduces visibility and monitoring challenges to CloudOps and DevOps. From here you can use Dynatrace analytics capabilities to understand the response time, or failures, or jump to individual PurePaths.

Lambda 307

Lambda AWS Programming Serverless 307

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 196

DevOps Analytics Storage Metrics 196

All Things Distributed

AUGUST 18, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud.

Big Data 94

Big Data Analytics AWS Cloud 94

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. Converging observability with security Multicloud environments offer a data haven of increased scalability, agility, and performance. Read now and learn more!

Analytics 188

Analytics Government DevOps Efficiency 188

Dynatrace

AUGUST 8, 2024

To cope with the risk of cyberattacks, companies should implement robust security measures combining proactive preventive measures such as runtime vulnerability analytics , with comprehensive application and perimeter protection through firewalls, intrusion detection systems, and regular security audits.

Software 260

Software Software Infrastructure Network 260

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. In this example, the policy grants access to all buckets that have names starting with prod_infra_.

Artificial Intelligence 270

Artificial Intelligence Metrics Analytics Storage 270

Dynatrace

NOVEMBER 22, 2021

EC2 is Amazon’s Infrastructure-as-a-service (IaaS) compute platform designed to handle any workload at scale. AWS Lambda makes it easy to design, run, and maintain application systems without having to provision or manage infrastructure. Here are a few of the most popular. Amazon EC2. Amazon Fargate. Automate monitoring tasks.

Best Practices 224

Best Practices AWS Monitoring Serverless 224

The Netflix TechBlog

JUNE 20, 2024

This talk will delve into the creative solutions Netflix deploys to manage this high-volume, real-time data requirement while balancing scalability and cost. Clark Wright, Staff Analytics Engineer at Airbnb, talked about the concept of Data Quality Score at Airbnb.

Data Engineering 209

Data Engineering Engineering Entertainment Software Engineering 209

Dynatrace

SEPTEMBER 27, 2024

Build a custom pipeline observability solution With these challenges in mind, Omnilogy set out to simplify CI/CD analytics across different vendors, streamlining performance management for critical builds. Consequently, troubleshooting issues and ensuring seamless software deployment becomes increasingly tricky.

Government 199

Government DevOps Azure Scalability 199

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns).

Media 245

Media Traffic Processing Design 245

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Author & founder of BangDB. This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Conclusion.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The benefits of migrating on-premises workloads to the Cloud become evident quickly.

Azure 183

Azure Technology Technology Cloud 183

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 221

AWS Artificial Intelligence Cloud Analytics 221

The Netflix TechBlog

OCTOBER 8, 2024

The Key-Value Abstraction offers a flexible, scalable solution for storing and accessing structured key-value data, while the Data Gateway Platform provides essential infrastructure for protecting, configuring, and deploying the data tier. We do not use it for metrics, histograms, timers, or any such near-real time analytics use case.

Latency 242

Latency Storage Traffic Tuning 242

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. Purpose-built databases.

Database 167

Database AWS Games Latency 167

High Scalability

APRIL 27, 2020

At least that’s what I realized the first time I heard Rick Houlihan give his now infamous talk at AWS re:Invent 2018 on Amazon DynamoDB Deep Dive: Advanced Design Patterns for DynamoDB. In that talk Rick revealed for the first time the inner arcana of single-table design. 60-page Analytics supplement guide.

AWS 225

AWS Design Analytics Code 225

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MAY 2, 2024

.” [1] –Gartner ® These drivers and the growing complexity of data privacy regulations make manual handling of these requests unsustainable, necessitating automated and scalable solutions. 2] — Nader Henein, VP Analyst, Gartner The Privacy Rights app is designed to streamline this process in Dynatrace.

Tuning 238

Tuning Scalability Efficiency Processing 238

The Netflix TechBlog

SEPTEMBER 18, 2024

Central to this infrastructure is our use of multiple online distributed databases such as Apache Cassandra , a NoSQL database known for its high availability and scalability. Handling Large Data through Chunking Key-Value is also designed to efficiently handle large blobs, a common challenge for traditional key-value stores.

Latency 254

Latency Storage Cache Efficiency 254

Dynatrace

NOVEMBER 2, 2022

According to one statistic, 76% of digital teams are responsible for delivering revenue , so software reliability and scalability are an increasing focus as these teams contribute to the bottom line. Software development success no longer means just meeting project deadlines.

Software 208

Software Software Artificial Intelligence DevOps 208

High Scalability

APRIL 16, 2019

Join Etleap , an Amazon Redshift ETL tool to learn the latest trends in designing a modern analytics infrastructure. Learn what has changed in the analytics landscape and how to avoid the major pitfalls which can hinder your organization from growth. Register for the webinar today.

Analytics 26

Analytics Java Metrics Software Engineering 26

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Mantis is our go-to platform for processing operational data at Netflix.

Infrastructure 239

Infrastructure Transportation Storage Open Source 239