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Fast and efficient log analysis is critical in todays data-driven IT environments. Dynatrace segments simplify and streamline data organization in large and complex IT environments, providing pre-scoped data without compromising performance. This fosters collaboration and alignment across departments and teams.
What developers want Developers want to own their code in a distributed, ephemeral, cloud, microservices-based environment. It packages the existing Dynatrace capabilities needed by developers in their day-to-day worksuch as logs, distributed traces, profiling data, exceptions, and more.
Horizontally scalable data stores like Elasticsearch , Cassandra , and CockroachDB distribute their data across multiple nodes using techniques like consistent hashing. As nodes are added or removed, the data is reshuffled to ensure that the load is spread evenly across the new set of nodes.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments.
We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. Dynatrace analyzes billions of interconnected data points to deliver answers, not just data and dashboards sending signals without a path to resolution. Picture gaining insights into your business from the perspective of your users.
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloudmonitoring solutions on average. What is cloudmonitoring? So, how does cloudmonitoring work? Cloudmonitoring types and how they work. Database monitoring.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution.
We’re excited to announce the expansion of the Dynatrace security portfolio with new Cloud Security Posture Management (CSPM) capabilities. Cloud environments are vast and constantly evolving, making manual identification of misconfigurations virtually impossible. Automation and continuous monitoring. The solution?
FinOps , short for Financial Operations, is a methodology combining finance, technology, and business teams to optimize cloud spending and maximize value in cloud environments. Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources.
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. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.
The challenge along the path Well-understood within IT are the coarse reduction levers used to reduce emissions; shifting workloads to the cloud and choosing green energy sources are two prime examples. This is partly due to the complexity of instrumenting and analyzing emissions across diverse cloud and on-premises infrastructures.
And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. For SREs, this means better proactive monitoring, fewer database-related incidents, and greater stability in production environments. If you’re a developer who has ever had to troubleshoot a database issue, you know how frustrating it can be.
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.
Log ingestion can seem daunting when getting started with Dynatrace, especially when staring at an empty screen in the Logs or Clouds apps. The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Configuration is fully customizable.
But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Data explosion hinders better data insight.
However, your responsibilities might change or expand, and you need to work with unfamiliar data sets. Activate Davis AI to analyze charts within seconds Davis AI can help you expand your dashboards and dive deeper into your available data to extract additional information.
Why this award matters The InfoWorld Technology of the Year awards celebrate standout solutions in AI, APIs, applications, business intelligence, cloud, data management, DevOps, and software development that are shaping the future of IT. And dont miss out on Perform 2025, our annual flagship conference taking place February 3-5.
The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Google Cloud users will come together to learn from Google experts and partners on topics from generative AI to cloud operations and security.
GigaOm recently released its 2024 Radar Report for Cloud Observability, which includes 21 observability solution providers and analyzes each on their current and emerging features. According to Dynatrace research , on average, companies have 10 different monitoring tools.
In today’s digital landscape, ensuring payment card data security is paramount. The PCI DSS framework includes maintaining a secure network, implementing strong access control measures, and regularly monitoring and testing networks. What is PCI DSS?
Cloud-native technologies are driving the need for organizations to adopt a more sophisticated IT monitoring approach to satisfy the competitive demands of modern business. Seeking insights from data Every organization depends on data to make decisions. Business observability is emerging as the answer.
Years ago, we saw how the shift to dynamic multiclouds would cause an explosion of data and complexity that’d be nearly impossible for organizations to manage, and we completely reimagined our platform to stay ahead of the curve. . We call that approach Cloud done right. . Dynatrace news. Hear it from our CEO, Rick McConnell: . .
For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Data volume explosion in multicloud environments poses log issues.
Dynatrace has announced that it has successfully achieved the Google Cloud Ready – Cloud SQL designation for Cloud SQL, Google Cloud’s fully-managed, relational database service for MySQL, PostgreSQL, and SQL Server.
Rising cloud complexity has made securing cloud-native and multicloud applications significantly more difficult. 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.
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.
That’s why cloud cost optimization is becoming a major priority regardless of where organizations are on their digital transformation journeys. In fact, Gartner’s 2023 forecast is for worldwide public cloud spending to reach nearly $600 billion. These costs also have an environmental impact. Utilization.
However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage. So many tools can result in data inconsistencies.
Cloud application security is becoming more of a critical issue as cloud-based applications gain popularity. The cloud allows a modular approach to building applications, enabling development and operations teams to create and deploy feature-rich apps very quickly. What is cloud application security?
The Texas Risk and Authorization Management Program (TX-RAMP) provides a standardized approach for security assessment, certification, and continuous monitoring of cloud computing services that process the data of Texas state agencies.
AWS Security Hub findings AWS Security Hub provides a great way of aggregating security findings, especially those related to cloud infrastructure. It can also be challenging to construct a full view of one’s security exposures when analyzing security findings across various environments and cloud infrastructures.
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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.
Current synthetic capabilities Dynatrace Synthetic Monitoring is a powerful tool that provides insight into the health of your applications around the clock and as they’re perceived by your end users worldwide. Compared to other solutions I have tested, Dynatrace NAM monitors are the most configurable which is to my liking.
Observability is no longer just for IT Ops Observability is no longer just about monitoring IT systems. AI and intelligent automation Looking ahead, we are laser-focused on AI-driven operations and cloud automation. As organizations accelerate AI adoption, they need reliable ways to monitor and optimize AI workloads.
For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Worse, a malicious attacker may gain access to the network, compromising sensitive application data. If the network is sluggish, an application may also be slow, frustrating users.
Whether youre a developer, database administrator, or data analyst, a good GUI can make everyday tasks faster, clearer, and less error-prone. Built and maintained by Oracle, it provides an all-in-one solution for database modeling, query execution, user administration, and performance monitoring. Thats where MySQL GUIs come in.
Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.
An hourly rate for Infrastructure Monitoring The Dynatrace Platform Subscription (DPS) offers a flat rate for Infrastructure Monitoring , providing observability for cloud platforms, containers, networks, and data center technologies with no limits on host memory and with AIOps included.
Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.
Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. Work with different and independent data types. Thus, Grail was born.
As more and more workloads are migrated to the hyperscaler cloud-service providers, the utilization of cloud services is now standard for many organizations. To establish the necessary monitoring, the observability team typically must be granted new setup permissions.
Managing cloud performance is increasingly challenging for organizations that spread workloads across a greater variety of platforms. And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023.
As organizations face an increasingly competitive, dynamic, and disruptive macroeconomic environment, they have turned to cloud services and digitization for an edge. But as they embrace digital transformation in the cloud, organizations often confront significant challenges. Even though the cloud brings enormous complexity.”
As an industry leader, Dynatrace promotes primarily using software and AI to deal with this complexity at scale instead of just putting data on dashboards. Does that mean that reactive and exploratory data analysis, often done manually and with the help of dashboards, are dead? Why today’s data analytics solutions still fail us.
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