Dynatrace

OCTOBER 17, 2023

With the exponential rise of cloud technologies and their indisputable benefits such as lower total cost of ownership, accelerated release cycles, and massed scalability, it’s no wonder organizations clamor to migrate workloads to the cloud and realize these gains.

Energy 185

Energy Artificial Intelligence AWS Lambda 185

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. Cloud complexity leads to data silos Most organizations are battling cloud complexity.

DevOps 177

DevOps Analytics Storage Metrics 177

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. Check out the guide from last year’s event. What is a data lakehouse?

Efficiency 269

Efficiency Performance Analytics DevOps 269

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

The Netflix TechBlog

JUNE 7, 2021

Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices. IP addresses within the cloud can move from one EC2 instance or Titus container to another over time.

Network 325

Network Transportation AWS Cloud 325

Dynatrace

AUGUST 25, 2023

Program staff depend on the reliable functioning of critical program systems and infrastructure to provide the best service delivery to the communities and citizens HHS serves, from newborn infants to persons requiring health services to our oldest citizens. Both can result in lost productivity for IT teams and staff in the field.

Government 196

Government Infrastructure Programming Cloud 196

Dynatrace

FEBRUARY 15, 2023

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.

Code 205

Code DevOps Cloud Analytics 205

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. This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system.

Software 189

Software Software Artificial Intelligence DevOps 189

Dynatrace

JANUARY 22, 2024

That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. Understanding complex systems Causal AI holds great importance for achieving full-stack observability in complex systems. More generally, causal AI can contribute to explainable and fair AI systems.

Artificial Intelligence 201

Artificial Intelligence Healthcare Retail Government 201

Dynatrace

DECEMBER 11, 2023

It’s open source, allows for great scalability with the possibility to run workloads on the cloud and on-premises Kubernetes clusters, and is easily extensible via plugins. This outlier points us to an overloaded cloud; too many workloads were running, and the cluster ran out of resources. Try it yourself Using Jenkins?

Open Source 182

Open Source Analytics Metrics Cloud 182

Dynatrace

DECEMBER 16, 2022

An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. The platform approach vs. the best-of-breed approach.

Innovation 190

Innovation Software Software Cloud 190

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 179

Infrastructure Open Source Operating System Cloud 179

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. Private Cloud vs. Public Cloud vs. Hybrid Cloud. So what makes PostgreSQL so special, and how is it being used today?

Database 177

Database Cloud Open Source Systems 177

Dynatrace

NOVEMBER 22, 2021

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. Dynatrace news. AWS: A service for everything.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. media search index, locations search index, and so forth) in future. All the nodes are added to an index called nodeIndex for faster lookups.

Design 334

Design Media Storage Logistics 334

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. As the requirement is low, you’ll need not more than a few systems and devices. And you know it — maintaining a horde of tools, systems, servers, and software is no joke!

Cloud 57

Cloud Testing Storage DevOps 57

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Moreover, the system lacks flexibility, imposing strict schemas that administrators and developers must adhere to avoid additional costs. As a result, the company awarded customers gift cards for system failures, creating an additional cost.

Retail 230

Retail Storage Best Practices Architecture 230

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. StatsD is a widely adopted metric protocol for collecting, aggregating, and sending developer-defined application metrics to separate systems for graphical analysis. Scalable and easy Prometheus support for Kubernetes. Stay tuned.

Open Source 250

Open Source Metrics Analytics Tuning 250

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

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

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

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 111

Big Data Analytics AWS Cloud 111

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. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

High Scalability

JUNE 19, 2018

Datadog is a cloud-scale monitoring platform that combines infrastructure metrics, distributed traces, and logs all in one place. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Make your job search O (1), not O ( n ).

Metrics 125

Metrics Software Engineering Engineering Infrastructure 125

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 127

AWS Monitoring Ecommerce Lambda 127

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). PostgreSQL is open source relational database management software.

Open Source 78

Open Source Healthcare Social Media Database 78

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Introducing Amazon ElastiCache. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier. Expanding the Cloud - The AWS Storage Gateway. Comments ().

Cloud 117

Cloud Cache AWS Storage 117

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 182

Analytics Artificial Intelligence Big Data Open Source 182

Dynatrace

FEBRUARY 12, 2024

Today’s organizations flock to multicloud environments for myriad reasons, including increased scalability, agility, and performance. With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation.

Analytics 175

Analytics Artificial Intelligence Engineering Technology 175

High Scalability

JULY 10, 2018

Datadog is a cloud-scale monitoring platform that combines infrastructure metrics, distributed traces, and logs all in one place. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one. Make your job search O (1), not O ( n ).

Ecommerce 107

Ecommerce Metrics Software Engineering Engineering 107

Testsigma

JUNE 26, 2021

Most codeless automation testing tools come with features such as AI, scalability, amongst a few others that give these tools an extra edge. Scalability is a pro-point: If you ask any tester out there, they’ll tell you how taxing it is to upgrade a traditional automation testing tool. Besides, it’s not scalable.

Testing 57

Testing Testing Tools Automotive Scalability 57

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52