Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Gaining knowledge about IBM i performance can be a challenging and pricey task. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried.

Monitoring 228

Monitoring Infrastructure Metrics Analytics 228

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 Performance space, our data teams currently focus on the quality of experience on Netflix-enabled devices.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. Queries in an IMDG can create interesting performance challenges.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 7, 2023

Dynatrace is a launch partner in support of AWS Lambda Response Streaming , a new capability enabling customers to improve the efficiency and performance of their Lambda functions. Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available.

Lambda 209

Lambda AWS Serverless Latency 209

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 16, 2023

With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. You have to get automation and analytical capabilities.” Throw in behavioral analytics, metadata, and real-user data. … The benefits of the cloud are undeniable.

Artificial Intelligence 187

Artificial Intelligence Analytics Cloud Innovation 187

Dynatrace

SEPTEMBER 8, 2022

This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats.

Systems 180

Systems Cloud Analytics DevOps 180

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Simplify error analytics. Built for enterprise scalability. Optimize timing hotspots. Understand and optimize your architecture.

Lambda 218

Lambda AWS Serverless Latency 218

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

AUGUST 25, 2023

Upgrades and modifications, if available, are complex and expensive, so it isn’t easy to keep them secure and functional. The team can also focus on developing new cloud-native apps that provide the scalability necessary to deliver reliable services, especially during times of crisis when families need HHS the most.

Government 196

Government Infrastructure Programming Cloud 196

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

MAY 23, 2024

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper.

Engineering 174

Engineering Tuning Latency Open Source 174

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. Once you send metrics via the OneAgent REST API, the relevant hosts are automatically enriched with all available monitoring dimensions. To this end, Dynatrace is now available as an output plugin on the backend.

Open Source 250

Open Source Metrics Analytics Tuning 250

Dynatrace

MARCH 24, 2023

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Part of its popularity owes to its availability as a managed service through the major cloud providers, such as Amazon Elastic Kubernetes Service , Google Kubernetes Engine , and Microsoft Azure Kubernetes Service.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. You’ll benefit through ad hoc analytics to drive real-time collaboration. Sorry, no delivery slots are available”).?.

Retail 132

Retail Analytics Metrics Mobile 132

Dynatrace

DECEMBER 16, 2022

Don’t put resources into building a platform that is available off the shelf. AI-powered precise answers and timely insights with ad-hoc analytics. But DIY is neither sufficient nor scalable to meet enterprise needs in the long run. This goes with the notion that businesses should invest in building true differentiators.

Innovation 190

Innovation Software Software Cloud 190

Dynatrace

DECEMBER 21, 2023

Level 2: Hosts and containers You might run thousands of hosts and containers, many of which have been sized by prioritizing performance over energy consumption. For a deeper look into these and many other recommendations, my colleagues and I wrote an eBook about performance and scalability on the topic. Want to learn more?

Cloud 202

Cloud Energy Best Practices Cache 202

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 97

Monitoring Scalability Cache Database 97

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Log analytics simplified: Deeper insights, no DQL required Your team will immediately notice the streamlined log analysis capabilities below the histogram. This context is vital to understanding issues.

Analytics 184

Analytics Infrastructure Database Monitoring 184

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. How-to documentation is readily available. It’s well-suited for organizations that require mission-critical applications with high availability. It’s reliable, robust, feature-rich, and performant.

Open Source 78

Open Source Healthcare Social Media Database 78

The Netflix TechBlog

MARCH 10, 2023

Production assets operations are performed in parallel with older data reprocessing without any service downtime. 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.

Media 237

Media Traffic Processing Design 237

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 190

Analytics Processing Transportation Storage 190

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Here Redis and Yugabyte have higher latencies, Yugabyte performs bad for both Insert and Read for the test. Yugabyte performs really good in this test. Author & founder of BangDB. Workload E: Short ranges.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

NOVEMBER 5, 2019

Available as an agent installer). Application Insights – Collects performance metrics of the application code. Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Migrating to the cloud.

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

High Scalability

FEBRUARY 19, 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. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET.

Software 125

Software Software Analytics Infrastructure 125

High Scalability

JUNE 4, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. PerfOps is a data platform that digests real-time performance data for CDN and DNS providers as measured by real users worldwide. Need excellent people? Advertise your job here!

Java 116

Java Metrics Software Engineering Traffic 116

High Scalability

MARCH 19, 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. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET.

Software 122

Software Software Analytics Infrastructure 122

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. This telematics architecture has evolved to handle ever increasing message rates (often reaching 2K messages per second), make up-to-the-minute information available to dispatchers, and feed offline analytics.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. which allows fast deployment times and rapid scalability.

Testing 163

Testing AWS Lambda Network 163

High Scalability

MARCH 5, 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. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET.

Software 116

Software Software Analytics Infrastructure 116

High Scalability

JANUARY 8, 2019

For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Client libraries are available for Node, Ruby, Python, PHP, Go, Java and.NET. Get enterprise-grade functionality with sane pricing and insane performance.

Java 137

Java Metrics Software Engineering DevOps 137

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast. Please apply here. Learn more today.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

Percona

JUNE 4, 2023

Critical features of MariaDB include robust security features like encryption at rest and in transit, user authentication, and role-based access control (RBAC), as well as high-performance query execution, advanced indexing techniques, and replication, clustering, and sharding, ensuring scalability and high availability.

Open Source 52

Open Source Servers Storage Scalability 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52