Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development.

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

APRIL 25, 2023

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. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively?

Serverless 196

Serverless Lambda Azure AWS 196

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. Dynatrace news. All log streams from pods in Kubernetes environments.

Cloud 254

Cloud Azure Analytics AWS 254

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. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Support diverse analytics workloads. What is a data lakehouse? Query language.

Artificial Intelligence 197

Artificial Intelligence Storage Analytics Government 197

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

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 6, 2023

If your typical queries only target a specific use case, business unit, or production stage, ensuring they don’t include unrelated buckets helps maintain efficiency and relevance. Adopting this level of data segmentation helps to maximize Grail’s performance potential. Custom buckets unlock different retention periods.

Artificial Intelligence 252

Artificial Intelligence Analytics Metrics Storage 252

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. It provides a cross-cloud overview of cloud services, their instances, and health, enabling cloud resource usage analysis and optimization with analytics notebooks.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

FEBRUARY 13, 2020

To provide customers with greater efficiency, simplicity and speed as they undergo digital transformation, our latest infrastructure monitoring module leverages the answers-first approach delivered by the AI and advanced automation capabilities at the core of our all-in-one Software Intelligence Platform. Next-gen Infrastructure Monitoring.

Performance 224

Performance Analytics Mobile Innovation 224

Dynatrace

APRIL 22, 2022

When American Family Insurance took the multicloud plunge, they turned to Dynatrace to automate Amazon Web Services (AWS) event ingestion, instrument compute and serverless cloud technologies, and create a single workflow for unified event management. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 161

Cloud Lambda Serverless AWS 161

Dynatrace

AUGUST 21, 2023

Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. In most cases, the backend customers use for OpenTelemetry is either not capable of storing more than 1-5% of their traces, or it is not cost efficient to do so,” Kopp says.

Open Source 185

Open Source Analytics Lambda Metrics 185

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The public cloud provides flexibility and cost efficiency through utilizing a provider’s resources. These include on-premises data centers which offer specific business benefits.

Cloud 130

Cloud Virtualization Storage Efficiency 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. This simplifies management and streamlines rollback, roll forward, and updates.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. This is also true for Kubernetes and containers that can spin up and down in seconds.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

To keep operations efficient and cost-effective, it’s important to be able to quickly respond to issues as they occur and efficiently verify their resolution. In addition, the platform provides fast, in-memory data storage so that the application easily can keep track of both telemetry and analytics results for each store.

Logistics 52

Logistics Retail Analytics Azure 52

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Amazon and AWS Ascendant. If Microsoft and Google really are coming on strong, they aren’t dislodging Amazon and AWS.

Cloud 141

Cloud Serverless AWS Architecture 141

Dynatrace

MAY 20, 2020

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. Every metric has metadata properties that are important for efficiently querying data.

Metrics 216

Metrics Operating System Tuning Monitoring 216

Dotcom-Montior

OCTOBER 19, 2021

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Monitoring & Analytics.

Engineering 86

Engineering Open Source Programming Monitoring 86

Dynatrace

JUNE 1, 2021

With the scale, diverse functionality, and dynamic nature of cloud platforms such as AWS, Azure, and GCP, APM solutions need to just work without configuration or model training. User experience and business analytics. With the Davis® AI engine at its core, Dynatrace provides precise answers to complex questions in real time.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dotcom-Montior

FEBRUARY 19, 2022

Additionally, containerization technology lends itself to CI/CD, allowing developers to continuously update code and deploy applications quicker and more efficiently. Using a solution like Terraform is more efficient than trying to provision and manage infrastructure, especially with multiple providers. Monitoring & Analytics.

Engineering 52

Engineering Open Source Programming Monitoring 52

Scalegrid

JANUARY 3, 2020

It’s also a good way to determine which components of the database can be enhanced or optimized to increase your efficiency and performance. ScaleGrid provides full admin access to your MySQL deployments – this makes it easier to integrate the existing MySQL ecosystem of tools with your ScaleGrid MySQL deployments on AWS or Azure.

Monitoring 164

Monitoring Metrics Servers Database 164

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Data interdependence. Level of concurrent reads. Level of concurrent writes.

Architecture 52

Architecture Cache Azure Storage 52

Scalegrid

JUNE 11, 2019

This allows organizations to share resources between public and private clouds to improve their efficiency, security, and performance. with a surprising lead over Azure at 10.8%. A hybrid cloud is a mixture of both public cloud and private cloud solutions, integrated into a single infrastructure environment.

Open Source 55

Open Source Database Cloud Infrastructure 55

O'Reilly

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. But they may back off on AI development.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112