Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 215

Analytics Storage Retail Monitoring 215

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 181

Analytics Storage Retail Monitoring 181

Dynatrace

JULY 29, 2021

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.

Systems 185

Systems Cloud Analytics DevOps 185

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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. Logs provide information you can’t find anywhere else.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

DECEMBER 21, 2023

How can you reduce the carbon footprint of your hybrid cloud? This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider. energy-efficient data centers—cloud providers—achieve values closer to 1.2. Is the solution to just move all workloads to the cloud?

Cloud 209

Cloud Energy Best Practices Cache 209

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 187

Cloud DevOps Open Source Retail 187

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience.

Retail 258

Retail Analytics Storage Cloud 258

Dynatrace

DECEMBER 9, 2020

HANA maintains all the business and analytics data that your business runs on. Captured metrics include infrastructure measures (CPU, Disk, and Network metrics) as well as details related to Backups, Savepoints, Replication, and more. By creating custom events you can take advantage of Dynatrace auto-adaptive baselining.

Infrastructure 200

Infrastructure Database Monitoring Metrics 200

Dynatrace

MARCH 20, 2024

Rising cloud complexity has made securing cloud-native and multicloud applications significantly more difficult. Cloud applications are built with the help of a software supply chain, such as OSS libraries and third-party software. Enable analytics Visibility sets the stage while analytics help turn data into action.

Monitoring 212

Monitoring Analytics Traffic Best Practices 212

Dynatrace

FEBRUARY 26, 2024

Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated. Requirement. Building apps and innovations.

Artificial Intelligence 194

Artificial Intelligence IoT Programming Innovation 194

Dynatrace

MARCH 13, 2024

The directive mandates operators of critical infrastructure and essential services to implement appropriate security measures and promptly report any incidents to the relevant authorities and affected parties. As the pace of digital transformation accelerates, the cloud applications supporting digital infrastructure become more complex.

Best Practices 228

Best Practices Education Strategy Analytics 228

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 186

Artificial Intelligence Analytics Efficiency Database 186

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. Logs can include information about user activities, system events, network traffic, and other various activities that can help to detect and respond to critical security incidents.

Analytics 185

Analytics Java Infrastructure Cloud 185

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. That’s where causal AI can help. Causal AI is particularly effective in observability.

Government 200

Government Analytics Benchmarking Storage 200

Dynatrace

JULY 11, 2023

Without native log support, overhead and complexity grow OpenTelemetry, the Cloud Native Computing Foundation (CNCF) incubating project, introduced standards that enable companies to instrument, generate, and export telemetry data. When combined with out-of-the-box correlation, such telemetry data provides context-rich observability.

Open Source 215

Open Source Analytics Metrics Cloud 215

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. These metrics are visualized using Lumen , a self-service dashboarding infrastructure.

Network 325

Network Transportation AWS Cloud 325

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 276

Efficiency Performance Analytics DevOps 276

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. Logs can then be located in the Kubernetes entity model on the Dynatrace platform, enhancing the observability of your infrastructure and workloads.

Serverless 223

Serverless Analytics AWS Azure 223

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 190

DevOps Engineering Artificial Intelligence Infrastructure 190

Dynatrace

JUNE 14, 2023

Recently, Dynatrace held its first annual partner enablement event, Amplify Sales Kickoff, announcing some exciting initiatives for the year ahead. And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success.

Programming 180

Programming Analytics Innovation Best Practices 180

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 225

Lambda AWS Serverless Latency 225

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. Dynatrace provides analytics and automation for unified observability and security.

Government 203

Government Infrastructure Programming Cloud 203

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.

Database 241

Database DevOps Analytics Servers 241

Dynatrace

APRIL 25, 2023

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. And serverless support is a core capability.

Serverless 207

Serverless Lambda Azure AWS 207

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. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 229

AWS Lambda Artificial Intelligence Serverless 229

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

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 212

Code DevOps Cloud Analytics 212

Dynatrace

APRIL 7, 2023

Despite being serverless, the function still requires infrastructure on which to run. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. The difference is the owner of the Lambda function does not have to worry about provisioning and managing servers.

Lambda 216

Lambda AWS Serverless Latency 216

Dynatrace

FEBRUARY 28, 2024

The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors. The Visual Resolution Path offers a chronological overview of events detected by Dynatrace across all components linked to the underlying issue.

DevOps 203

DevOps Metrics Engineering Analytics 203

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. Enter causal AI.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Autonomous Cloud with Dynatrace.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 234

Best Practices Analytics Metrics Code 234

Dynatrace

AUGUST 28, 2020

Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Analytics. Azure Event Grid. Azure Event Hubs Cluster. Azure Logic Apps. Azure Container Instance. Azure Data Factory v1.

Azure 155

Azure Cloud Tuning Monitoring 155

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 186

Infrastructure Open Source Operating System Cloud 186