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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.
The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation.
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. What’s behind it all? The result?
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.
To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.
We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.
Breaking monolithic pipelines into event-driven Delivery Choreography. Embrace event-driven auto-remediation with an SLO-based safety net. It’s a free virtual event so I hope you join me. Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs.
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. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.
At the time when I was building the most innovative observability company, security seemed too distant. I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security.
Recently, we’ve expanded our digital experience monitoring to cover the entire customer journey, from conversion to fulfillment. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform.
When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data.
Navigate digital infrastructure complexity In today’s rapidly evolving digital environment, organizations face increasing pressure from customers and competitors to deliver faster, more secure innovations. Automation + Synthetic = Perfect match This is why we integrated Synthetic monitoring in Workflows.
However, while Kubernetes can help teams monitor the health of their environments and restart failed applications, the platform has limited visibility into the internal state of those applications. To watch the full session and learn more about how Dynatrace is accelerating innovation with Kubernetes, follow one of the local links below.
Automatically allocate costs to teams, departments, or apps for full cost-transparency In recent years, the Dynatrace platform expanded with many innovative features covering various use cases, from business insights to software delivery. Figure 4: Set up an anomaly detector for peak cost events.
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. The time taken to complete the page load.
This release extends auto-adaptive baselines to the following generic metric sources, all in the context of Dynatrace Smartscape topology: Built-in OneAgent infrastructure monitoring metrics (host, process, network, etc.). Calculated service/DEM metrics (revenue numbers, conversions, event counts, etc.). Synthetic monitor metrics.
In order to allow for this mimicking, many systems implement an event handling, where they convert our request into a call to the real service with properties enabled to log when titles are filtered out of their response and why. Implement proactive monitoring for each of these endpoints. there is a dedicated collector.
Dynatrace has been busier than ever during this pandemic, as applications and monitoring become more important than ever to businesses and their customers. . The post Innovate. it’s not increasing!). A resource center to help you ‘transform the way you work’. . Collaborate.
In today’s complex digital landscape, organizations need to be able to scale and innovate in order to compete. The collaborative partner innovation showcased between Dynatrace and its strategic partnerships is a critical piece of enabling growth for our customers. Below are the winners. Learn more about what AppEngine can do for you.
Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.
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. What are the goals of continuous application security monitoring and why is it important?
With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. State agencies measurably reduce outage severity and costs In the event of a performance problem, observability can reduce MTTR. Those hours spent troubleshooting can be spent innovating,” Smith continued.
At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. The post Bringing IT automation to life at Dynatrace Innovate Barcelona appeared first on Dynatrace news.
Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Stage 2: Service monitoring.
AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Monitor your serverless applications with just two clicks.
Option 1: Log Processing Log processing offers a straightforward solution for monitoring and analyzing title launches. Using the source of truth: Logs serve as a reliable source of truth by providing a comprehensive record of system events. Stay tuned for a closer look at the innovation behind thescenes!
Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. We’re using automation to kick off scaling events,” he said. “We If the approver says, ‘do it,’ then it schedules the action.”
These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. What is AWS observability?
Dynatrace is proud to provide deep monitoring support for Azure Linux as a container host operating system (OS) platform for Azure Kubernetes Services (AKS) to enable customers to operate efficiently and innovate faster. Why monitor Azure Linux container host for AKS? How Can Dynatrace Monitor Azure Linux container host for AKS?
For most organizations, online service reliability that balances innovation and uptime is a primary goal. SLO monitoring and alerting on SLOs using error-budget burn rates are critical capabilities that can help organizations achieve that goal. What is SLO monitoring? And what is an error budget burn rate?
The Dynatrace Software Intelligence Platform provides you with so much more monitoring functionality. This means that your entire IT infrastructure can be monitored within minutes. This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort.
These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. But as a company with a mission to “ Do It Right ” and be a relentless ally for customers and communities, the high-cost monitoring solutions it was using provided only limited insights into end-user experiences.
The Business Events capability enables business analysts to get the real-time insights and broad context they need to answer questions their business intelligence tools can’t. Metrics on Grail “Metrics are probably the best understood data type in observability ,” says Guido Deinhammer, CPO of infrastructure monitoring at Dynatrace.
Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. What is the difference between monitoring and observability? Is observability really monitoring by another name?
As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Monitor your serverless applications with just two clicks.
Every software development team grappling with Generative AI (GenAI) and LLM-based applications knows the challenge: how to observe, monitor, and secure production-level workloads at scale. How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank?
Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.
Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes. Organizations struggle to effectively use logs for monitoring business-critical data and troubleshooting.
Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. There’s no need for configuration or setup of any infrastructure.
While these frameworks use a declarative syntax to simplify the codebase and expedite development lifecycles, they also introduce new challenges in monitoring the user experience of mobile apps. This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers.
Dynatrace has always been a company built on continuous innovation. . Today, our obsession with innovation is stronger than ever. . But if we want to embody a simpler, smarter, and more empowering approach to cloud monitoring, our brand needs to look and sound the part. . Because we know your job has never been harder. .
As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. The goal of monitoring is to enable data-driven decision-making. Where traditional methods struggle.
AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Improved time management and event prioritization. Increased business innovation. What is AIOps, and how does it work? Expanded collaboration.
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