Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 245

Metrics Analytics Storage Monitoring 245

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans.

Analytics 218

Analytics Metrics Database Storage 218

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 191

Analytics Software Software Storage 191

Dynatrace

MARCH 29, 2024

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing.

Google 261

Google Innovation Cloud Analytics 261

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue.

DevOps 212

DevOps Metrics Virtualization Strategy 212

Dynatrace

FEBRUARY 10, 2023

Further, automation has become a core strategy as organizations migrate to and operate in the cloud. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 276

Efficiency Performance Analytics DevOps 276

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. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 200

Analytics Infrastructure Efficiency Technology 200

Dynatrace

NOVEMBER 20, 2023

However, with a generative AI solution and strategy underpinning your AWS cloud, not only can organizations automate daily operations based on high-fidelity insights pulled into context from a multitude of cloud data sources, but they can also leverage proactive recommendations to further accelerate their AWS usage and adoption.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., Rural lifestyle retail giant Tractor Supply Co.

Cloud 171

Cloud Ecommerce Performance Retail 171

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Use of Dynatrace Notebook to track when a flight status table was last updated.

DevOps 194

DevOps Analytics Airlines Metrics 194

Dynatrace

MARCH 18, 2021

DevOps metrics and digital experience data are critical to this. Yet for the hospitality sector, the adoption of digital strategies has not been so obvious. Bringing teams together around DevOps metrics made it easier for M&B to identify how it could create better digital experiences for its customers and optimize revenue.

DevOps 130

DevOps Metrics Virtualization Strategy 130

Dynatrace

MARCH 29, 2024

In this article, we explore recent survey data from Enterprise Strategy Group (ESG), sponsored by Dynatrace, on how organizations approach IT automation, as well as the benefits and challenges they encounter as they adopt it. And for DevOps, it means accelerating DevOps processes, improving agility, and speeding time to market.

Artificial Intelligence 182

Artificial Intelligence DevOps Strategy Open Source 182

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 183

DevOps Analytics Storage Metrics 183

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 263

Artificial Intelligence DevOps Analytics Engineering 263

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

DECEMBER 16, 2022

In the report, Forrester evaluated 11 providers, scoring them with categories that include Current Offering, Strategy, and Market Presence. Dynatrace received the highest scores in the Current Offering and Strategy categories of 4.23 It displays all topological dependencies between services, processes, hosts, and data centers.

Artificial Intelligence 230

Artificial Intelligence Strategy Infrastructure Monitoring 230

Dynatrace

SEPTEMBER 21, 2023

The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). These metrics include CPU, memory, disk, and network I/O. As a result, this baseline measurement has become an important component of our sustainability strategy.

Energy 233

Energy Cloud Airlines Strategy 233

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 204

Cache Azure Infrastructure Monitoring 204

Dynatrace

APRIL 13, 2023

As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging. It requires an understanding of cloud architecture and distributed systems, with the goal of automating processes. Incomplete.

Analytics 185

Analytics Java Infrastructure Cloud 185

Dynatrace

AUGUST 21, 2023

They need to automate manual tasks, streamline processes, and invest in new technologies. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. during 2021–2026.

Analytics 145

Analytics Innovation Infrastructure Scalability 145

Dynatrace

FEBRUARY 16, 2023

ESG embodies a set of criteria that guides an organization’s strategy, measures the organization’s impact, and informs potential investors across these three pillars. Environmental sustainability emphasizes our collective responsibility to take action; for this, we need intelligence and analytics, not just historical reports.

Energy 184

Energy Airlines Analytics Transportation 184

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. It is recommended to employ an active/active strategy in a gradual manner.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. One of the powerful workflows to leverage is continuous release validation.

AWS 246

AWS Efficiency Azure Cloud 246

The Netflix TechBlog

MARCH 10, 2023

Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case. Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams.

Media 237

Media Traffic Processing Design 237

Dynatrace

NOVEMBER 6, 2023

Observability is inherent to any cloud strategy. In the past, a vendor tool supplied a list of prescribed metrics and then set some thresholds so that when conditions exceeded those metrics, teams received an alert that something was wrong. This creates a billing process that is simplified and straightforward.

Azure 172

Azure Technology Technology Cloud 172

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. The foundation of this flexibility is the Dynatrace Operator ¹ and its new Cloud Native Full Stack injection deployment strategy. This approach is costly and error prone.

Availability 316

Availability Scalability Cloud Metrics 316

Dynatrace

JULY 30, 2021

One of the aspects of progressive delivery is using new zero-downtime deployment strategies such as Canary, Blue-Green, or Feature Flags. Those strategies allow development teams to decouple the tasks of deployment (rolling out a new binary to production) from releasing (making it accessible by your end-users). Step 3: SLOs.

Cloud 232

Cloud Metrics Strategy Monitoring 232

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

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. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. So, what is ITOps? What is ITOps?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

DECEMBER 9, 2020

Dynatrace is fully committed to the OpenTelemetry community and to the seamless integration of OpenTelemetry data , including ingestion of custom metrics , into the Dynatrace open analytics platform. Use topological details related to the service at hand to drill down to the process or host running the service for root cause analysis.

Java 233

Java Traffic Strategy Architecture 233

IO River

NOVEMBER 2, 2023

Network RedundancyThe primary and most important advantage of a Multi-CDN strategy is redundancy, and, consequently, improved reliability. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted. It is recommended to employ an active/active strategy in a gradual manner.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

AUGUST 24, 2020

To make this possible, the application code should be instrumented with telemetry data for deep insights, including: Metrics to find out how the behavior of a system has changed over time. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Conclusion.

Analytics 240

Analytics Infrastructure AWS Operating System 240

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285