Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5 million AI server units annually by 2027, consuming 75.4+

Cache 201

Cache Azure Infrastructure Monitoring 201

Scalegrid

FEBRUARY 8, 2024

By integrating distributed storage solutions into their infrastructure, organizations can effectively manage increased data storage demands while maintaining optimal performance levels – a characteristic intrinsic to these systems’ design, enabling effortless scaling for handling greater quantities of stored content.

Storage 130

Storage Systems Big Data Azure 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

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. AI-powered answers and additional context for apps and infrastructure, at scale.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

FEBRUARY 12, 2024

Observability for infrastructure Next up, Guido Deinhammer, CPO for infrastructure observability at Dynatrace, dove into the use case for observability across infrastructure and talked through new application offerings from Dynatrace. The app offers a consolidated overview across data centers and all monitored hosts.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

NOVEMBER 20, 2023

 Using fault-tree analysis, this kind of AI provides critical detail about how its models arrive at a given conclusion. 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.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

AUGUST 24, 2020

Based on this analysis, these systems can take actions such as alerting or remediation. But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. Monitoring of Kubernetes infrastructure for “ D ay 2 ” operations .

Analytics 237

Analytics Infrastructure AWS Operating System 237

Dynatrace

AUGUST 21, 2023

The collector processes the data and exports it to a predetermined monitoring, tracing, or logging back end, such as Dynatrace, for analysis. 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.

Open Source 192

Open Source Analytics Lambda Metrics 192

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Davis now automatically provides thresholds and baselining algorithms for all infrastructure performance and reliability metrics to easily scale infrastructure monitoring without manual configuration.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

JANUARY 5, 2022

Therefore, we implemented Dynatrace in almost all major applications for our customers to gain visibility from end-user to code-level and to reduce time with problem fixing and pro-active scalability optimizations by using Dynatrace’s AI-based root cause analysis. Each step is automated from provisioning infrastructure to problem analysis.

Testing 214

Testing Open Source Metrics Infrastructure 214

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

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. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

APRIL 21, 2022

Log data analysis. Configuration API for AWS and Azure supporting services. You can now get a list of all AWS and Azure supporting services on your cluster, by current version, using the AWS credentials API and Azure credentials API respectively. Problem detection and analysis. Log Monitoring. APM-362217).

Azure 212

Azure Metrics AWS Monitoring 212

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem.

AWS 243

AWS Efficiency Azure Cloud 243

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. This is essential for operators to understand the health and behavior of the container infrastructure as well as the applications running in it.

Open Source 298

Open Source Traffic DevOps Cloud 298

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. Hybrid cloud environments that integrate on-premises infrastructure with cloud services. This opens up possibilities not only difficult but almost impossible to attain conventionally!

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 174

Cloud Open Source Architecture Monitoring 174

Dynatrace

AUGUST 24, 2020

Based on th is analysis , these systems can take actions such as alerting or remediation. But there are other related components and processes ( for example, cloud provider infrastructure ) that can cause problems in applications running on Kubernetes. Further reading about infrastructure monitoring: .

Analytics 134

Analytics Infrastructure AWS Operating System 134

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Metrics can originate from a variety of sources, including infrastructure, hosts, services, cloud platforms, and external sources.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

JANUARY 20, 2022

Azure supporting services (Synapse Analytics). Resolved minor data inconsistencies between multidimensional analysis and Data explorer involving long-lasting requests. (APM-343328). Resolved an issue that was causing alerts for infrastructure (for example, Host CPU) to be generated even when disabled. (APM-348563).

Lambda 177

Lambda AWS Metrics Azure 177

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. OneAgent is the native telemetry data collector and monitoring solution of Dynatrace.

Metrics 168

Metrics Monitoring Database Network 168

Dynatrace

JUNE 1, 2021

Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Root-cause and impact analysis of application performance problems and business outcomes for faster, more reliable incident resolution. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

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. Step #6: Multidimensional analysis based on test context.

Engineering 189

Engineering Performance Metrics Best Practices 189

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Cloud Infrastructure Analysis : Public Cloud vs. On-Premise vs. Hybrid Cloud. Cloud Infrastructure Breakdown by Database. So, which cloud infrastructure is right for you? 2019 Top Databases Used.

Open Source 55

Open Source Database Cloud Infrastructure 55

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. A small percentage (3.7%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

MAY 19, 2020

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. All told, we received 1,283 responses. .

Cloud 141

Cloud Serverless AWS Architecture 141

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. Version5: files metadata in MySQL, files stored in EOS/GCS/S3/Azure and served via HTTP, search in Lucene. What Infrastructure Do You Use? Video Transcoding. Permissions. Hybrid Sync.

Architecture 52

Architecture Cache Azure Storage 52