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We are excited to announce that Dynatrace has introduced new capabilities for Kubernetes security posture management. This solution provides continuous assessment of adherence to technical standards, visibility, prioritization, and remediation for misconfigurations and compliance findings across Kubernetes environments. Why manual audits and custom scripts fall short for Kubernetes security posture management In the dynamic and complex world of Kubernetes, relying on manual audits, custom script
Migrating from Amazon RDS to DynamoDB can be a significant challenge, especially when transitioning from a relational database like RDS (PostgreSQL, MySQL, etc.) to DynamoDB, a NoSQL, key-value store. One of the most effective strategies for migrating data incrementally is the Dual Write approach. This allows you to keep both databases in sync during the transition, minimizing downtime and reducing the risk of data inconsistency.
By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.
Structured Query Language (SQL) is a simple declarative programming language utilized by various technology and business professionals to extract and transform data. Due to its versatility for storing information in both structured and unstructured formats, PostgreSQL is the fourth most used standard in modern database management systems (DBMS) worldwide 1.
WebKit have recently announced their intent to implement the blocking=render attribute for and elements, bringing them in line with support already available in Blink and generally positive sentiment in Firefox. The blocking=render attribute allows developers to explicitly mark a resource as render blocking, but… why on earth would you want to do that?!
Migrating from Redis to Valkey can significantly reduce costs associated with private licensing for your application. However, the biggest concern in any migration is transitioning without disrupting service or causing downtime.
One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. The haphazard results may be entertaining, although not quite based in fact.
Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Geoff Graham 2024-11-05T10:00:00+00:00 2024-11-05T15:07:01+00:00 This article is sponsored by DebugBear We’ve all had that moment. You’re optimizing the performance of some website, scrutinizing every millisecond it takes for the current page to load.
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Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Why Optimizing Your Lighthouse Score Is Not Enough For A Fast Website Geoff Graham 2024-11-05T10:00:00+00:00 2024-11-05T15:07:01+00:00 This article is sponsored by DebugBear We’ve all had that moment. You’re optimizing the performance of some website, scrutinizing every millisecond it takes for the current page to load.
We are excited to share that Dynatrace has been named the Cloud Security Platform of the Year in the prestigious 2024 CyberSecurity Breakthrough Awards. CyberSecurity Breakthrough is a leading independent market intelligence organization that highlights the top companies, technologies, and products in the global information security market. Leading the way in cloud observability and security Dynatrace leverages three advanced AI technologies—causal, predictive, and generative AI—to provide compr
The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services.
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. Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. The result? Optimized performance and enhanced customer experiences.
When I founded Dynatrace, I aimed to bridge the gap between IT performance and user experience. My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. To accomplish this, we traced all digital interactions from device to backend for detailed insights into personalization impacts.
Establishing SLOs for Kubernetes clusters can help organizations optimize resource utilization. A good Kubernetes SLO strategy helps teams manage and make containerized workloads more efficient. Kubernetes is a widely used open source system for container orchestration. It allows for seamless running of containerized workloads across different environments.
We’re going to set out on a mind-blowing tour around network security. Upon considering the nearness and risk posed by cyber threats in this epoch, it is important to prevent the threats so that they do not cause irreversible damage within the network. This three-part article series will take you through the process of developing a network anomaly detection system using the Spring Boot framework in a robust manner.
We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. In this dynamic landscape, imagine understanding your digital environment every day—what’s working, what’s not, what may have an issue, and more importantly, how to solve it? Picture gaining insights into your business from the perspective of your users.
We’re excited to announce the first version of our new Distributed Tracing app, a part of the new Dynatrace user experience that leverages the full power of the Dynatrace platform. With the Distributed Tracing app, you can flexibly slice and dice raw trace data to understand what went wrong and why. Find what you’re looking for faster with: Enhanced charting and data visualization: Easily filter, group, search, and visualize trace data to gain deeper insights into your system’s behavior.
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. Such fragmented approaches fall short of giving teams the insights they need to run IT and site reliability engineering operations effectively.
AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. AI continues to transform how organizations operate, making it essential to identify the most strategic investment areas for optimal (and fast) results. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.
In Kubernetes , Ingress resources are frequently used as traffic controllers, providing external access to services within the cluster. Ingress is essential for routing incoming traffic to your service; however, there may be scenarios in which you want to prevent search engines from indexing your service's content: it might be a development environment or something else.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. This rising risk amplifies the need for reliable security solutions that integrate with existing systems. That’s why we’re proud to announce that Dynatrace has joined the Microsoft Intelligent Security Association (MISA).
It is common for microservice systems to run more than one instance of each service. This is needed to enforce resiliency. It is therefore important to distribute the load between those instances. The component that does this is the load balancer. Spring provides a Spring Cloud Load Balancer library. In this article, you will learn how to use it to implement client-side load balancing in a Spring Boot project.
If you’re a web developer , you probably spend a fair amount of time working with Chrome DevTools. It’s one of the best tools out there for diagnosing and improving the performance of your web applications. You can use it to track loading times, optimize CSS and JavaScript , and inspect network activity. But there’s an important piece of performance data that DevTools doesn’t yet expose by default: Long Animation Frames (LoAFs).
There are many reasons why Kubernetes is a popular container runtime platform for distributed applications. One of these reasons is the portability and flexibility that it provides to IT architects. However, the difficulties of service discovery, infrastructure reliability, and security are known challenges that result from these benefits. From challenges, opportunities are created, and many tools have risen to mitigate common problems faced by teams that benefit from containerized applications
As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders. Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. While 77% of SME IT admins want a single tool to do their job, organizations continue to impose a wide range of tools on them.
Provide an at-a-glance view of your system’s health and performance Dynatrace guides you in quickly getting the most valuable SLOs set up in just a few clicks. To provide maximum freedom in selecting the service-level indicators that matter most to your business, Dynatrace combines SLOs with the power of Dynatrace Grail™ data lakehouse, the central data platform with heterogeneous and contextually linked data.
Spring WebClient is a reactive, non-blocking HTTP (HyperText Transfer Protocol) client designed for making requests to external services. It belongs to the Spring WebFlux framework and provides advanced, scalable handling of HTTP requests more efficiently than the RestTemplate. WebClient also supports parallel and reactive programming, making it suitable to perform a large volume of operations without blocking requests.
The improved UI of the new Synthetic app makes managing your synthetic tests and analyzing their results easier and more effective. Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. This allows you to build customized visualizations with Dashboards or perform in-depth analysis with Notebooks.
Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Visualizations help to curate data into a form that is more accessible to understand, highlighting trends and outliers, gaps, clusters, or patterns.
AWS EC2 Autoscaling is frequently regarded as the ideal solution for managing fluctuating workloads. It offers automatic adjustments of computing resources in response to demand, theoretically removing the necessity for manual involvement. Nevertheless, depending exclusively on EC2 Autoscaling can result in inefficiencies, overspending, and performance issues.
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. To give organizations the freedom to explore log analytics without barriers due to cost concerns, Dynatrace is proud to announce a new Dynatrace Platform Subscription
In a recent blog post, we announced and demonstrated how the new Distributed Tracing app provides effortless trace insights. In this blog post, we’ll walk you through a hands-on demo that showcases how the Distributed Tracing app transforms raw OpenTelemetry data into actionable insights Set up the Demo To run this demo yourself, you’ll need the following: A Dynatrace tenant.
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. While Grail and DQL opened up nearly limitless possibilities for data exploration, mastering DQL was necessary to fully leverage the power of Grail.
After a successful 3rd beta in August 2024, the PostgreSQL development group released the GA version on September 26th. Recently, I blogged about some of the key logical replication features that you'll see in PostgreSQL 17. In this blog, I'll describe a couple of new performance features that you'll find in Postgres 17 as well as another important logical replication feature that I didn't cover in my earlier blog of this series.
Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. You’re gathering a lot of data, but you can’t make sense of it. You need to visualize the distribution of your measurements to identify patterns, outliers, and trends. But there’s a problem: Your current tools don’t support histograms. Incorporating histograms is not just a technical upgrade; it’s a necessity for any observability professional.
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. Separate data storage fulfills the security compliance requirements of many Dynatrace customers operating in highly regulated sectors, making it much easier for them to use Dynatrace SaaS and accelerate th
In large enterprises, attributing IT costs to various cost centers, teams, or departments can be cumbersome and is typically only possible through significant manual overhead. Sometimes, introducing new IT solutions is delayed or canceled because a single business unit can’t manage the operating costs alone, and per-department cost insights that could facilitate cost sharing aren’t available.
There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Easy to access. Simplicity accelerates time-to-value and reduces implementation and maintenance costs. Real time. Agile business decisions rely on fresh data.
Manage the complexity of authorization systems Most modern authorization systems provide access management using Attribute-Based Access Control (ABAC). ABAC has several advantages: Enhanced security , providing granular control over access permissions, significantly reducing the risk of data breaches and unauthorized activities. High flexibility , adapting to dynamic environments and diverse user needs.
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