Dynatrace

APRIL 5, 2024

But when navigating this process, one of the biggest challenges facing enterprises is having too many tools. For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. GigaOm rated Dynatrace as exceptional for predictive analytics and superior for LLM and multicloud support.

Cloud 238

Cloud Analytics Monitoring Scalability 238

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

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 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

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Improving data quality is a strategic process that involves all organizational members who create and use data.

Government 202

Government Analytics Benchmarking Storage 202

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

Efficiency 278

Efficiency Performance Analytics DevOps 278

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. It’s important to ensure your organization has thoroughly reviewed its risk management process and is well aware of the requirements.

Best Practices 230

Best Practices Education Strategy Analytics 230

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation?

Software 190

Software Software Analytics Big Data 190

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Predictive analytics can anticipate potential failures and security breaches.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

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. Without this level of context, datasets become exponentially difficult to analyze and use for any effective or efficient DevSecOps processes.

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

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

MARCH 20, 2024

With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place. Forensics focuses on the systemic investigation and analysis of digital evidence to determine root causes.

Monitoring 214

Monitoring Analytics Traffic Best Practices 214

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 205

DevOps Metrics Engineering Analytics 205

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Most infrastructure and applications generate logs. Comparing log monitoring, log analytics, and log management.

Systems 187

Systems Cloud Analytics DevOps 187

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. All these steps and stages slow down processes, are error-prone, and introduce additional security risks.

DevOps 186

DevOps Analytics Storage Metrics 186

Dynatrace

JULY 25, 2023

Davis AI transforms and augments data to enable more useful analysis, perform automatic tasks, and respond to user requests: Predictive AI uses machine learning (ML) and statistical methods to recommend future actions based on data from the past. This AI also triggers automated remediation actions.

Best Practices 235

Best Practices Analytics Metrics Code 235

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. Vulnerability management Vulnerability management is the process of identifying, prioritizing, rectifying, and reporting software vulnerabilities.

Best Practices 211

Best Practices Benchmarking Speed Infrastructure 211

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). Every new question we ask comes with additional analysis, prediction models, and more,” Reitbauer said. “By

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

OCTOBER 23, 2023

Full stack observability with the Dynatrace Hyper-V extension Use Dynatrace for deeper insights into the Microsoft ecosystem with the new Hyper-V extension; it provides crucial virtualization layer characteristics for Windows infrastructure observability. Dynatrace is a platform that satisfies all these criteria.

Efficiency 216

Efficiency Virtualization Hardware Performance 216

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Grail, alongside Dynatrace Davis AI, enables organizations to move beyond simple event correlation and to identify the root cause of problems in their applications and infrastructure.

Artificial Intelligence 185

Artificial Intelligence DevOps Strategy Open Source 185

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. What is ITOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Hardware Virtualization 205

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. RAG augments user prompts with relevant data retrieved from outside the LLM.

Cache 206

Cache Azure Infrastructure Monitoring 206

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. What is BPF?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

FEBRUARY 13, 2020

Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module. Ability to create custom metrics and events from log data, extending Dynatrace observability to any application, script or process. Analysis and Anomaly Detection of Business KPIs.

Performance 238

Performance Analytics Mobile Innovation 238

Dynatrace

JANUARY 22, 2024

Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

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. Simplify error analytics. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. What is Lambda?

Lambda 227

Lambda AWS Serverless Latency 227

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Specialized Unified Analysis page.

Technology 219

Technology Technology Metrics Infrastructure 219

Dynatrace

APRIL 25, 2023

This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Neglecting security during the development process or at runtime when new threats can emerge could lead to disastrous consequences.

Government 216

Government Innovation Open Source Traffic 216

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 191

Artificial Intelligence Tuning Strategy Big Data 191

Dynatrace

FEBRUARY 16, 2023

Maciag cited a Dynatrace customer who observed that their ingestion rates and costs were linearly increasing, but the value and analytics their teams could extract were not correlating. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 173

Analytics Innovation Cloud Scalability 173

Dynatrace

SEPTEMBER 15, 2023

The growing need for the convergence of observability and security With the increased adoption of cloud and hybrid infrastructure to support digital transformation, observability is a prerequisite for success and growth. Gartner ranked Dynatrace No. 1 for Security Operations Use Case (4.46/5) 5), DevOps/AppDev (4.08/5), 5) Use Cases.

Monitoring 248

Monitoring Performance Analytics DevOps 248

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 177

Artificial Intelligence DevOps Analytics Cloud 177

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. SLOs improve software quality.

Software 266

Software Software Benchmarking Latency 266

Dynatrace

OCTOBER 17, 2023

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 239

Retail Storage Best Practices Architecture 239

Dynatrace

JUNE 5, 2023

As web applications commonly use load balancers, such as F5 BIG-IP, Dynatrace customers often seek to enhance their monitoring capabilities by integrating it with Dynatrace comprehensive monitoring and AI-powered analytics. The Dynatrace extension for F5 BIG-IP monitoring has proven to be a successful solution for them. What’s next?

Traffic 196

Traffic Virtualization Metrics Monitoring 196