Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 204

Analytics Metrics DevOps Storage 204

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 178

Analytics Ecommerce Metrics Innovation 178

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Uber Engineering

JULY 22, 2021

As Uber’s business grew, we scaled our Apache Hadoop (referred to as ‘Hadoop’ in this article) deployment to 21000+ hosts in 5 years, to support the various analytical and machine learning use cases. We built a team with varied … The post Containerizing Apache Hadoop Infrastructure at Uber appeared first on Uber Engineering Blog.

Infrastructure 145

Infrastructure Analytics Engineering Architecture 145

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 203

Analytics Infrastructure Efficiency Technology 203

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. They also need a high-performance, real-time analytics platform to make that data actionable. Managing this change is difficult.

Cloud 205

Cloud Lambda AWS Analytics 205

Dynatrace

SEPTEMBER 18, 2020

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. Cloud-based application architectures commonly leverage microservices. What’s next?

Infrastructure 192

Infrastructure Latency Metrics Analytics 192

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. Dynatrace news. No agent installation is required on your SAP server.

Infrastructure 203

Infrastructure Database Monitoring Metrics 203

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

Dynatrace

APRIL 5, 2024

For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers. One of the most exciting areas is the report’s acknowledgement of our AI leadership.

Cloud 238

Cloud Analytics Monitoring Scalability 238

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 264

Google Innovation Cloud Analytics 264

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

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 190

Software Software Analytics Big Data 190

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 230

Best Practices Education Strategy Analytics 230

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Proactive resource allocation.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

Dynatrace

MARCH 6, 2024

Effortlessly analyze IBM i Performance with the new Dynatrace extension Dynatrace has created a new version of its popular extension that is faster, offers better interactive pages, and includes more metrics, metadata, and analytics without having to install anything on your mainframe infrastructure.

Monitoring 237

Monitoring Infrastructure Metrics Analytics 237

Dynatrace

APRIL 28, 2023

Use buckets for any use case in a secure way When using Log Management and Analytics or Business Analytics with Grail, you can create custom buckets with specified data-retention periods. Infrastructure teams may need to work with host logs from recent months or quarters.

Analytics 216

Analytics Storage Infrastructure Metrics 216

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, AI enables intelligent resource allocation for the optimal scaling of platform infrastructure without the need for any human intervention.

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

Dynatrace

SEPTEMBER 13, 2023

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

Monitoring 222

Monitoring Healthcare Infrastructure Metrics 222

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). But contextual analytics don’t stop here. “AI AI implementations are no exception.

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

MARCH 20, 2024

This process may involve behavioral analytics; real-time monitoring of network traffic, user activity, and system logs; and threat intelligence. Enable analytics Visibility sets the stage while analytics help turn data into action. As attacks evolve, however, organizations need AI-driven tools that go beyond the basics.

Monitoring 214

Monitoring Analytics Traffic Best Practices 214

DZone

SEPTEMBER 26, 2023

Since you need to access multiple components (servers, databases, network infrastructure, applications, etc.) We'll talk about best practices and habits and use some of the Log Analytics tools from Sumo Logic as examples. If you don’t have the right tools, it can feel like you’re stuck with a bunch of disparate, hard-to-parse data.

Best Practices 249

Best Practices Analytics Infrastructure Network 249

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 12, 2024

The OMB memo states that agencies must meet specific goals based on the five pillars of the Cybersecurity and Infrastructure Security Agency (CISA) Zero Trust Maturity Model : identity, devices, networks, applications/workloads, and data. A quick refresher: what is zero trust?

Government 182

Government Analytics Network Traffic 182

Dynatrace

OCTOBER 17, 2023

For decades, it had employed an on-premises infrastructure running internal and external facing services. However, the distributed nature of cloud services combined with their on-premises infrastructure meant there were more interfaces where services might expose vulnerabilities.

Energy 195

Energy Artificial Intelligence AWS Lambda 195

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 225

Serverless Analytics AWS Azure 225

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 152

Tuning Speed Performance Open Source 152

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. Generic ingest of log data now works with OTLP Ingesting OTLP logs is now supported via the OpenTelemetry Logs Ingest API.

Open Source 217

Open Source Analytics Metrics Cloud 217

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 278

Efficiency Performance Analytics DevOps 278

Dynatrace

APRIL 13, 2023

Log auditing—and its investigative partner, log forensics—are becoming essential practices for securing cloud-native applications and infrastructure. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 187

Analytics Java Infrastructure Cloud 187

Dynatrace

APRIL 10, 2023

According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud 173

Cloud Ecommerce Performance Retail 173

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 186

DevOps Analytics Storage Metrics 186

DZone

NOVEMBER 20, 2023

ETL—Extract, Transform, Load—is far more than a set of operations; it's a complex dance that transforms raw data into valuable insights, serving as the critical backbone for a range of applications, from data analytics and business intelligence to real-time decision-making platforms.

Processing 117

Processing Performance Analytics Speed 117

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. High-quality operational data in a central data lakehouse that is available for instant analytics is often teams’ preferred way to get consistent and accurate answers and insights. That’s where causal AI can help.

Government 202

Government Analytics Benchmarking Storage 202

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

SEPTEMBER 8, 2022

Most infrastructure and applications generate logs. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. These two processes feed into one another.

Systems 187

Systems Cloud Analytics DevOps 187