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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 scripts, and general-purpose security tools is no longer enough to achieve efficient security posture management. Here’s why: Misconfigurations are pervasive.
Developers deserve a seamless way to troubleshoot effectively and gain quick insights into their code to identify issues regardless of when or where they arise. Developers not only write code; they’re also accountable for their applications performance and reliability. Browse your code. It’s easy as 1-2-3 1.
We want developers to be able to work efficiently while taking ownership of their databases. Do Not Wait With Checks Teams aim to maintain continuous database reliability, focusing on ensuring their designs perform well in production, scale effectively, and allow for safe code deployments. Lets explore how.
In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!
The IT world is rife with jargon — and “as code” is no exception. “As code” means simplifying complex and time-consuming tasks by automating some, or all, of their processes. Today, the composable nature of code enables skilled IT teams to create and customize automated solutions capable of improving efficiency.
Business events: Delivering the best data It’s been two years since we introduced business events , a special class of events designed to support even the most demanding business use cases. Simplified and enhanced analytics efficiency. Fine-grained permission and retention policies can be tailored to individual business use cases.
In other words, where the application code resides. Details of the root cause The developer deems it appropriate to either exclude or designate this error as acceptable during the patch release to prevent being overwhelmed with false positive alerts. Find below the way to detect potential user-impacted cases thanks to SLO.
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.
How can we achieve a similar functionality when designing our gRPC APIs? Add FieldMask to the Request Message Instead of creating one-off “include” fields, API designers can add field_mask field to the request message: [link] Consumers can set paths for the fields they expect to receive in the response. Field names are not included.
Key features: Visual schema and table design SQL editor with syntax highlighting and autocomplete User and permission management Performance dashboards and slow query analysis Backup and restore utilities Its a great choice if you want an integrated experience and dont mind a slightly steeper learning curve.
They offer a comprehensive end-to-end solution to these challenges, providing functionalities designed to enhance compliance and resilience in IT environments. Leveraging code-level insights and transaction analysis, Dynatrace Runtime Application Protection automatically detects attacks on applications in your environment.
Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.
By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Dynatrace is designed to scale easily across the entire Kubernetes stack.
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Development teams create and iterate on new software applications. Environmental forces.
Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Automation, automation, automation.
Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. A PUE of 1.0
If you start catching bugs early, it will save you tons of time fixing them later.nn> Design reviewnnIt’s a very powerful tool when used in a good way. It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end).
When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time. By separating these concerns, structured automation ensures that AI-powered systems are reliable, efficient, and maintainable. What Does Structured Automation Look Like in Practice?
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. With the help of open-source solutions and agile APIs, teams can now deliver and maintain code more efficiently than ever. Dynatrace news.
The goal of Levels of Testing is to make software testing more structured and efficient, as well as to make it easier to identify all available test cases and test scenarios at a given level. There are various steps in the SDLC paradigm, such as requirement gathering, analysis, coding, design, execution, testing, and deployment.
Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. Regardless of their role, every business process is designed to improve business outcomes.
One of the main goals is to create a stable and high-quality code profile from aggregated and anonymous data as quickly as possible (to maximize the number of users that can benefit from this) while ensuring that we have enough data to optimize accurate performance applications.
Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenges.
Dynatrace Grail™ data lakehouse unifies the massive volume and variety of observability, security, and business data from cloud-native, hybrid, and multicloud environments while retaining the data’s context to deliver instant, cost-efficient, and precise analytics. Digital transformation 2.0
Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Using a low-code visual workflow approach, organizations can orchestrate key services, automate critical processes, and create new serverless applications.
Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. Platform engineers design and implement these platforms, as well as ensure their security, scalability, and reliability. The result is a cloud-native approach to software delivery.
Bridging The Gap Between Designers And Developers. Bridging The Gap Between Designers And Developers. In the past couple of years, it’s no secret that our design tools have exponentially evolved. How do we know the code is the same UI? Matthew Talebi. 2021-10-12T10:30:00+00:00. 2021-10-12T12:08:10+00:00.
This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management. Some DevSecOps best practices include the following: Security by design. Release validation. Disparate toolsets. Download the 2021 DevOps Report. Read report now!
Software bugs Software bugs and bad code releases are common culprits behind tech outages. These issues can arise from errors in the code, insufficient testing, or unforeseen interactions among software components. High demand Sudden spikes in demand can overwhelm systems that are not designed to handle such loads, leading to outages.
In the dynamic world of microservices architecture, efficient service communication is the linchpin that keeps the system running smoothly. This dedicated infrastructure layer is designed to cater to service-to-service communication, offering essential features like load balancing, security, monitoring, and resilience.
As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code.
Application security is a software engineering term that refers to several different types of security practices designed to ensure applications do not contain vulnerabilities that could allow illicit access to sensitive data, unauthorized code modification, or resource hijacking. So, why is all this important?
DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services.
Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Increased efficiency for Lambda function configurations. What are AWS Lambda Function URLs. Lambda Function URLs benefits.
Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications. It helps to assess the long- and short-term efficiency and speed of DevOps. Less complexity in software releases.
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. Microsoft initially designed the OS for internal use to develop and manage Azure services. What is Azure Linux?
The road to modern observability As organizations continue to operate in the cloud, they discover that cloud observability becomes paramount to their ability to run efficiently and securely. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.
Tips And Tricks For Evaluating UX/UI Designers. Tips And Tricks For Evaluating UX/UI Designers. When a company’s digital representation lacks a dedicated UX/UI design team, it can be hard to produce something that stands out from the crowd. That happens when your app/website/system is efficient. Nataliya Sambir.
The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. The architects and developers who create the software must design it to be observed.
To do that, we need an easy and efficient API access to all of our Dynatrace Environments, without having to create and maintain API access tokens of individual tenants. I wanted a rather lightweight design that is yet versatile. In fact, go’s concurrency was so efficient that I ran into a few pitfalls I didn’t think of first: ?
One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.
Let’s dive into how these metrics and DevOps KPIs can help your team perform better and deliver better code. Deployment frequency measures both long-term and short-term efficiency. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes.
The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time. Performance efficiency. Performance Efficiency. Designefficient use of your computing resources as demand changes and technologies evolves. Reliability.
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