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Let’s explore some of the advantages of monitoring GitHub runners using Dynatrace. By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes. Once the data is formatted, it is ingested into Dynatrace Business Analytics using the Dynatrace SDK.
These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. With ASR, and other new and enhanced technologies we introduce, rigorous analytics and measurement are essential to their success.
Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.
Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. For executives, these directives present several challenges, including compliance complexity, resource allocation for continuous monitoring, and incident reporting.
Recently, we’ve expanded our digital experience monitoring to cover the entire customer journey, from conversion to fulfillment. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Google or Adobe Analytics).
As an executive, I am always seeking simplicity and efficiency to make sure the architecture of the business is as streamlined as possible. Here are five strategies executives can pursue to reduce tool sprawl, lower costs, and increase operational efficiency. No delays and overhead of reindexing and rehydration.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log monitoring? What is log analytics? Log monitoring vs log analytics. Dynatrace news. billion in 2020 to $4.1
This is where Davis AI for exploratory analytics can make all the difference. For example, if you’re monitoring network traffic and the average over the past 7 days is 500 Mbps, the threshold will adapt to this baseline. Using a seasonal baseline, you can monitor sales performance based on the past fourteen days.
On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important?
The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI.
Key benefits of Runtime Vulnerability Analytics Managing application vulnerabilities is no small feat. To filter findings efficiently, use numerical thresholds like DSS (Dynatrace Security Score) or CVSS (Common Vulnerability Scoring System). Search full vulnerability descriptions for pinpoint accuracy. Not a Dynatrace customer yet?
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.
Organizations are now looking into solutions that unify security capabilities to protect their environments efficiently. CSPM solutions continuously monitor and improve the security posture of Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) environments. Is CSPM right for my organization?
They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. With Dynatrace runtime application protection , security teams can continuously monitor for and block common application attacks, such as SQL or command injections. Runtime application protection.
By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.
Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources. This granular level of transparency helps identify cost drivers, monitor usage patterns, and uncover opportunities for cost savings. Figure 4: Set up an anomaly detector for peak cost events.
This is where observability analytics can help. What is observability analytics? Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights.
Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. The Infrastructure & Operations app provides an up-to-date and comprehensive view of monitored environments on Google Cloud.
In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!
Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? Business analytics begins with choosing the business KPIs or tracking goals needed for a specific use case, then determining where you can capture the supporting metrics.
Dynatrace Business Flow simplifies business process observability, connecting top-level process KPIs with detailed flow analytics. With this update, Davis AI can track and alert on KPI threshold violations to assure end-to-end process efficiency and reliability. Are detected business exceptions specific to one host in a cluster?
In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.
To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.
In this blog post, we look at these enhancements, exploring methods for monitoring your Kubernetes environment and showcasing how modern dashboards can transform your data. Leverage dashboards to monitor your environment in real time through log data. The relevant metrics are then immediately displayed alongside further details.
Here’s how Dynatrace can help automate up to 80% of technical tasks required to manage compliance and resilience: Understand the complexity of IT systems in real time Proactively prevent, prioritize, and efficiently manage performance and security incidents Automate manual and routine tasks to increase your productivity 1.
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.
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.
Business processes are important because they improve the efficiency, consistency, and quality of the business outcome. Monitoring business processes is one thing organizations can do to help improve the key business processes that enable them to provide great customer experiences. Reduce costs.
Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. What is RabbitMQ?
The latest Dynatrace report, “ The state of observability 2024: Overcoming complexity through AI-driven analytics and automation ,” explores these challenges and highlights how IT, business, and security teams can overcome them with a mature AI, analytics, and automation strategy.
Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.
With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.
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?
Logging is integral to Kubernetes monitoring In the ever-changing and evolving software development landscape, logs have always been and continue to be – one of the most critical sources of insight. This ensures that users can only access the necessary logs, helping maintain the highest security, compliance, and operational efficiency.
Most business processes are not monitored. If you can collect the relevant data (and that’s a big if), the problem shifts to analytics. As a result, most business processes remain unmonitored or under-monitored, leaving business leaders and IT operations teams in the dark. First and foremost, it’s a data problem.
Grail – the foundation of exploratory analytics Grail can already store and process log and business events. This is only possible because of our no-index approach and massive parallel processing capabilities, which enable Dynatrace to offer extra-long data retention (15+ months) at full granularity that is cost-efficient and fast.
AI can help automate tasks, improve efficiency, and identify potential problems before they occur. In the recently published Gartner® “ Critic al Capabilities for Application Performance Monitoring and Observability,” Dynatrace scored highest for the IT Operations Use Case (4.15/5) 5) in the Gartner report. 5) in the Gartner report.
As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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.
This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. Dynatrace is a platform that satisfies all these criteria. What’s next?
Digital experience monitoring (DEM) is crucial for organizations to meet this demand and succeed in today’s competitive digital economy. DEM solutions monitor and analyze the quality of digital experiences for users across digital channels. This allows ITOps to measure each user journey’s effectiveness and efficiency.
As the world becomes increasingly interconnected with the proliferation of IoT devices and a surge in applications, digital transactions, and data creation, mobile monitoring — monitoring mobile applications — grows ever more critical. These analytics help mobile developers quickly diagnose and fix mobile app crashes.
This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.
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