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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.
Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. At this year’s Microsoft Ignite, taking place in Chicago on November 19-22, attendees will explore how AI enables and accelerates organizations throughout their cloud modernization journeys.
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.
Minimize security risks by reducing complexity with unified observability : Converging security with end-to-end observability gives security teams the deep, real-time context they need to strengthen security posture and accelerate detection and response in complex cloud environments. No delays and overhead of reindexing and rehydration.
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. million annually per organization. The solution?
Twilio is a call management system that provides excellent call recording capabilities, but often organizations are in need of automatically downloading and storing these recordings locally or in their preferred cloudstorage. However, downloading large numbers of recordings from Twilio can be challenging.
One key factor that significantly affects the performance of data processing is the storage format of the data. This article explores the impact of different storage formats, specifically Parquet, Avro, and ORC on query performance and costs in big data environments on Google Cloud Platform (GCP).
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.
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.
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.
The industry has always innovated, and over the last decade, it started moving towards cloud-based workflows. However, unlocking cloud innovation and all its benefits on a global scale has proven to be difficult. The need for a centralized, cloud-based solution that transcends these barriers is more pressing than ever.
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.
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. Dynatrace Runtime Security delivers advanced protection for cloud-native and on-premises applications. Were challenging these preconceptions.
As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. It is worth pointing out that cloud processing is always subject to variable network conditions.
But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” Without cloud-based rendering, this ambitious project would not have met its targeted delivery date!
Cloud-based solutions typically aren’t a viable option or enterprises that have strict security or privacy policies that require their data to be maintained on-premise. To give you a helping hand in such scenarios, we decided to facilitate Managed cluster deployments for major cloud platforms. Dynatrace news. Prerequisites.
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.
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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. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.
Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Assemble and decrypt parts? —?Our Mount multiple objects? — ?
As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.
The methodology and algorithms were designed by Dynatrace with guidance from the Sustainable Digital Infrastructure Alliance (SDIA), expanding on formulas from the open source project Cloud Carbon Footprint. We can calculate an average carbon intensity for every host and cloud region with those two summarized values.
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.
As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. But exploring the breadth of log analytics scenarios with most log vendors often results in unexpectedly high monthly log bills and aggressive year-over-year costs.
Cloud deployments have grown rapidly in recent years, and enterprise hybrid and multicloud environments have become the new standard, resulting in new challenges such as: Keeping up with dynamic, autoscaling environments where instances, applications and microservices come and go fast. AWS Storage Gateway. Dynatrace news. AWS OpsWorks.
So many default to Amazon RDS, when MySQL performs exceptionally well on Azure Cloud. In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. MySQL DBaaS vs. Self-Managed MySQL.
Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?
As more and more workloads are migrated to the hyperscaler cloud-service providers, the utilization of cloud services is now standard for many organizations. Not to mention, hosting parts of their cloud infrastructure locally isn’t something customers expect from their cloud solution.
For many companies, the journey to modern cloud applications starts with serverless. This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. As data volumes rapidly increase, streamlined data storage is a top priority. Dynatrace news. Reliability.
In cloud environments, IP addresses are reassigned to different workloads as workload instances are created and terminated, so IP addresses alone cannot provide insights on which workloads are communicating. Because the in-memory state can be quickly rebuilt when a FlowCollector node starts up, no persistent storage is required.
Anyone moving to the cloud knows that it isn’t just a change from running servers in your data center to running them in someone else’s data center. If you’re doing it right, cloud represents a fundamental change in how you build, deliver and operate your applications and infrastructure. In the cloud, silos are lethal.
Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. The increasing complexity of cloud service architectures requires a rock-solid understanding of the activity, health status, and security of cloud services.
High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Polymorphic Data Storage. Greenplum Advantages. Major Use Cases. The Greenplum Architecture.
Whether you’re using OpenTelemetry or OneAgent, operating in the cloud or on-premiseswe’ve got you covered. Say hello to advanced trace an alytics and new data storage and capture options. This precision reduces storage costs while ensuring you retain the data that matters most. But why stop there?
Leveraging Foundational Platform Data to enable Cloud Efficiency Analytics J Han , PallaviPhadnis At Netflix, we use Amazon Web Services (AWS) for our cloud infrastructure needs, such as compute, storage, and networking to build and run the streaming platform that we love.
Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management. Hyperconverged vs. cloud: Consider the differences.
Fully automated observability into your Azure multi-cloud environment. You can integrate Dynatrace with Azure for intelligent monitoring of services running in Azure Cloud. Azure Data Lake Storage Gen1. Simplify cloud operations with full visibility into your Azure Automation accounts. Azure Logic Apps. Azure Event Grid.
A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.
After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.
There are a wealth of options on how you can approach storage configuration in Percona Operator for PostgreSQL , and in this blog post, we review various storage strategies — from basics to more sophisticated use cases. For example, you can choose the public cloudstorage type – gp3, io2, etc, or set file system.
If youre already familiar with cloud security posture management (CSPM), you might wonder how KSPM compares. Where KSPM focuses on the security posture of Kubernetes environments, CSPM provides automated tools and processes that monitor and manage the security posture of cloud environments as a whole.
Across the board, the topics cloud migration, application modernization, breaking the monolith or hybrid cloud re-platforming have been a center point in many of our discussions with our joint enterprise customers. If you can answer all these questions fine – if not: get your own Dynatrace Trial and start installing OneAgents.
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