ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

APRIL 1, 2021

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems. The benefit is scalability.

Azure 171

Azure AWS DevOps Cloud 171

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 154

Azure Cloud Tuning Monitoring 154

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing.

Serverless 206

Serverless Lambda Azure AWS 206

Scalegrid

MAY 13, 2020

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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. They are required to understand the full story of what happened in a system.

Cloud 259

Cloud Azure Analytics AWS 259

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 6, 2023

Suppose a single Grail environment is central storage for pre-production and production systems. Permissions based on DQL fields and security context To implement this in the Log Management and Analytics context, you can create policies with additional clauses that provide access.

Artificial Intelligence 261

Artificial Intelligence Analytics Metrics Storage 261

Dynatrace

APRIL 10, 2023

Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. Rural lifestyle retail giant Tractor Supply Co. ” Three years ago, Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. Dynatrace provides end-to-end observability of AI applications As AI systems grow in complexity, a holistic approach to the observability of AI-powered applications becomes even more crucial.

Cache 204

Cache Azure Infrastructure Monitoring 204

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. But, as resources move off premises, IT teams can lose visibility into system performance and security issues.

AWS 208

AWS Artificial Intelligence Analytics Cloud 208

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. Traces help find the flow of a request through a distributed system. Further reading about Business Analytics : . Conclusion.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

APRIL 19, 2023

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. Enterprise data stores grow with the promise of analytics and the use of data to enable behavioral security solutions, cognitive analytics, and monitoring and supervision.

Design 191

Design Storage Programming Analytics 191

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Integrating Existing Systems When selecting a tool for integrating a hybrid cloud, evaluating several key aspects is important. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. Key information about your system and applications comes from logs.

Metrics 213

Metrics Lambda Infrastructure Monitoring 213

Scalegrid

JUNE 6, 2019

The platform allows MySQL AWS administrators to automate their time-consuming database operations in the cloud and improve their performance with high availability, disaster recovery, polyglot persistence, and advanced monitoring and analytics.

AWS 191

AWS Cloud Open Source Virtualization 191

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This means organizations are increasingly using Kubernetes not just for running applications, but also as an operating system.

Infrastructure 185

Infrastructure Open Source Operating System Cloud 185

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

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Modern software systems at scale are incredibly complex ever changing environments. This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases. Credits on content go to him and the work he has been doing around performance & resiliency testing automation.

Testing 217

Testing Open Source Metrics Infrastructure 217

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The final status update was at 6:54PM PDT with a very detailed description of the temperature rise that caused the shutdown initially, followed by the fire suppression system dispersing some chemicals which prolonged the full recovery process.

AWS 188

AWS Traffic Architecture Azure 188

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. Streaming Data Model. a new like, comment, etc.).

Design 334

Design Media Storage Logistics 334

Dynatrace

AUGUST 24, 2020

Metrics to find out how the behavior of a system has changed over time . Traces help find the flow of a request through a distributed system . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Further reading about Business Analytics : . Digital Business Analytics.

Analytics 135

Analytics Infrastructure AWS Operating System 135

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. How do you make a system observable? Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

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

Dynatrace

APRIL 22, 2022

After American Family completed its initial conversion to Dynatrace, they needed to automate how their system ingested Amazon CloudWatch metrics. Once the accounts are set up in Dynatrace, the system queries Amazon CloudWatch for new metrics every five minutes. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 168

Cloud Lambda Serverless AWS 168

Scalegrid

DECEMBER 6, 2023

ScaleGrid’s comprehensive solutions provide automated efficiency and cost reduction while offering tailored features such as predictive analytics for businesses of all sizes. The great thing about this is that it provides companies with an unprecedented level of freedom when configuring their system.

Database 130

Database Cloud Hardware Storage 130

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Declarative APIs. What are cloud-native services?

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. It becomes immediately clear there must be number of mechanisms in place to coordinate such a distributed system.

Open Source 301

Open Source Traffic DevOps Cloud 301

Dynatrace

MAY 17, 2023

The next level of observability: OneAgent In the first two parts of our series, we used OpenTelemetry to manually instrument our application and send the telemetry data straight to the Dynatrace analytics back end. DNS query time indicates the average response times of DNS requests across the system.

Metrics 171

Metrics Monitoring Database Network 171

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. With the real-time digital twin model, the next generation of streaming analytics has arrived.

Logistics 52

Logistics Retail Analytics Azure 52

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 176

Cloud Open Source Architecture Monitoring 176