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AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.
We are excited to share that Dynatrace has been named the Cloud Security Platform of the Year in the prestigious 2024 CyberSecurity Breakthrough Awards. Additionally, 68% of CISOs struggle with vulnerability management because the complexity of their software supply chain and cloud ecosystem is beyond human capability.
Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access.
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.
One of the things I love most about OpenTelemetry (OTel) is that its vendor-neutral, which means you can send the same OpenTelemetry data to different vendors. In fact, most of the major Observability vendors out there not only support ingesting OpenTelemetry data but also actively contribute to the project, including Dynatrace.
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.
Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud. With the rapid adoption of cloud computing , businesses are moving their IT infrastructure to the cloud.
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As modern multicloud environments become more distributed and complex, having real-time insights into applications and infrastructure while keeping data residency in local markets is crucial. By keeping data within the region, Dynatrace ensures compliance with data privacy regulations and offers peace of mind to its customers.
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This calls for a unified approach to modern cloud security , where integrating Security Operations, aka "SecOps," into observability becomes essential. With the growing value and vulnerability of data, SecOps is crucial in safeguarding applications, preventing unauthorized access, and maintaining the integrity of sensitive information.
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.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This has resulted in visibility gaps, siloed data, and negative effects on cross-team collaboration. At the same time, the number of individual observability and security tools has grown.
When building ETL data pipelines using Azure Data Factory (ADF) to process huge amounts of data from different sources, you may often run into performance and design-related challenges. This article will serve as a guide in building high-performance ETL pipelines that are both efficient and scalable.
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. Audit logs.
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.
Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. More technology, more complexity The benefits of cloud-native architecture for IT systems come with the complexity of maintaining real-time visibility into security compliance and risk posture.
This significant milestone underscores our ongoing commitment to maintaining the highest standards of security and compliance in the cloud and making it easier for our customers to use Dynatrace SaaS. The Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) is a comprehensive framework for cloud security assurance.
In today’s digital landscape, ensuring payment card data security is paramount. Achieving PCI DSS compliance is crucial for any organization that handles card payments, as it helps prevent data breaches and fraud. Whats next To learn more about Dynatrace data security and privacy, visit the Dynatrace Trust Center.
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.
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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.
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
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.
Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.
For more: Read the Report Employing cloud services can incur a great deal of risk if not planned and designed correctly. In fact, this is really no different than the challenges that are inherit within a single on-premises data center implementation.
Cloud computing platforms have fundamentally altered how organizations access and manage data. Because of the emergence of cloud services, a broad range of storage choices are now easily available to fulfill the different demands of both organizations and people.
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.
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.
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This article presents the most recent Memphis.dev Cloud, multi-region benchmark tests conducted in December 2023, explores how to carry out performance testing, detailing hands-on methods you can apply yourself, and provides recent benchmark data for your reference. The benchmark tool we used can be found here.
In an era where data is the new oil, effectively utilizing data is crucial for the growth of every organization. It is not enough to store these data durably, but also to effectively query and analyze them. Without a querying capability, the data stored in S3 would not be of any benefit.
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.
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.
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.
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.”
Growing awareness and increasing regulatory scrutiny have propelled carbon emissions data into the public consciousness. How can you reduce the carbon footprint of your hybrid cloud? Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. A PUE of 1.0
Snowflake is a powerful cloud-based data warehousing platform known for its scalability and flexibility. To fully leverage its capabilities and improve efficient data processing, it's crucial to optimize query performance.
Cloud-native environments, microservices, real-time data processing, and global user bases transformed back-end architecture from a simple technical challenge into a strategic business capability. Developers could understand and manage the entire systems intricacies.
Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Dynatrace connects service-side observability data to customers’ experiences and business outcomes. Avoid the cost of customer churn by optimizing customer experience.
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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.
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.
And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. A shared vision At Dynatrace, weve built a comprehensive observability platform that already includes deep database visibility, the Top Database Statements view, and Grail for unified data storage and analysis.
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