Dynatrace

AUGUST 25, 2023

To properly monitor Kubernetes clusters and containers, it’s necessary to have access to relevant logs. It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. You can filter logs based on their content, source, or process technology.

Serverless 212

Serverless Analytics AWS Azure 212

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth. To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Dynatrace is the only monitoring solution that provides observability (with no code changes) into every layer of your Kubernetes deployment, including your cloud infrastructure provider.

Analytics 231

Analytics Infrastructure AWS Operating System 231

Scalegrid

FEBRUARY 8, 2024

Amazon S3 and Microsoft Azure Blob Storage leverage distributed storage solutions. These distributed storage services also play a pivotal role in big data and analytics operations. Big data analytics mines expansive datasets collected from hospitals and personal medical devices at home.

Storage 130

Storage Systems Big Data Azure 130

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

DECEMBER 2, 2021

Sometimes the Python virtual machine crashes. Infrastructure Monitoring. Settings > Maintenance windows > Monitoring, alerting and availability. New analytics view for message queues. To see all queues and topics detected by OneAgent within your monitoring environment. Infrastructure Monitoring.

Lambda 183

Lambda Azure Metrics Monitoring 183

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

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 176

Infrastructure Open Source Operating System Cloud 176

Scalegrid

MARCH 14, 2024

On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 24, 2020

Observability and monitoring as a source of truth . To provide actionable answers monitoring systems store, baseline, and analyze telemetry data. Monitoring your i nfrastructure . Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. .

Analytics 134

Analytics Infrastructure AWS Operating System 134

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. Cloud platforms are fully virtualized and, consequently, highly automated.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

MAY 28, 2020

Now, while we’ve been pushing these concepts in Keptn we haven’t explained well enough how to level-up your existing load testing scripts for better SLI monitoring and how to integrate them with Dynatrace in order to reap all the benefits of SLI-based Performance Analysis. A key concept in monitoring is proper tagging.

Engineering 185

Engineering Performance Metrics Best Practices 185

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

SQL Server According to Bob

DECEMBER 18, 2018

This effort resulted in: · Changes to the SQL Server Engine · Changes to the SQL Server Linux Host Extension · Validation with the Windows Storage team · Validation with Windows Hyper-V team · Validation with Windows Azure Storage team · Conversations with Red Hat, HP, SUSE and Intel · Changes in the Linux file system. product: Virtual Disk.

Servers 90

Servers Media Cache Storage 90

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. It encompasses private clouds, the IaaS cloud—also host to virtual private clouds (VPC)—and the PaaS and SaaS clouds.

Cloud 141

Cloud Serverless AWS Architecture 141

O'Reilly

NOVEMBER 28, 2023

Several respondents also mentioned working with video: analyzing video data streams, video analytics, and generating or editing videos. And unlike source code, models grow stale over time and require constant monitoring and testing. Only 1% are building with Google’s Bard, which perhaps has less exposure than the others.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112