This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
What Is Istio Ambient Service Mesh? Istio, an open-source and widely used service mesh, is used to manage network and security for cloud-native applications. In September 2022, Istio project released ambient mesh — a modified and sidecar-less data plane for Istio developed for enterprises that want to deploy mTLS and other security features first, and seek to deploy an advanced network later.
We have released Dynatrace version 1.267. To learn what’s new, have a look at the release notes. The post Dynatrace SaaS release notes version 1.267 appeared first on Dynatrace news.
We all love building greenfield projects. 1 But inevitably, starting a new project involves lots of meetings with business stakeholders to hash out initial requirements and canonical data models. Those are…not so fun. When one of those meetings occurs after a carb-heavy lunch, it’s easy for your mind to drift away…back to those university lectures about entity design.
Kubernetes has become the de facto standard for container orchestration, enabling organizations to build, deploy, and scale modern applications with efficiency and agility. As more organizations adopt Kubernetes, the need for proper security and management of sensitive data within these environments becomes paramount. One crucial aspect of ensuring a secure Kubernetes infrastructure is the effective management of secrets, such as API keys, passwords, and tokens.
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. This integration is a result of our collaboration with Microsoft to better serve our Azure customers across the Microsoft portfolio.
This blog post unveils the seamless, exabyte-scale integration of local SSD disks into the Hadoop Distributed File System (HDFS), enabling the utilization of high-density disk SKUs to optimize disk IO and achieving exceptional performance.
In today's hyperconnected digital landscape, secure internal networks have become a cornerstone of corporate infrastructure. This crucial aspect of operations is often bolstered by robust VPN technologies, such as OpenVPN. As a leading solution in the realm of VPN , OpenVPN's architecture plays a critical role in enhancing corporate network security and connectivity.
Sign up to get articles personalized to your interests!
Technology Performance Pulse brings together the best content for technology performance professionals from the widest variety of industry thought leaders.
In today's hyperconnected digital landscape, secure internal networks have become a cornerstone of corporate infrastructure. This crucial aspect of operations is often bolstered by robust VPN technologies, such as OpenVPN. As a leading solution in the realm of VPN , OpenVPN's architecture plays a critical role in enhancing corporate network security and connectivity.
I have coded many applications, both client and web, over my career, and I understand the importance of building a well-developed application from the ground up. Therefore, I found it important to write a piece based on my understanding of time series data versus relational data as someone with a unique understanding of both. Relational Data The main objective of relational data is to maintain an accurate representation of the current state of the world with respect to its objects and the relati
Time series analysis is a specialized branch of statistics that involves the study of ordered, often temporal data. Its applications span a multitude of fields, including finance, economics, ecology, neuroscience, and physics. Given the temporal dependency of the data, traditional validation techniques such as K-fold cross-validation cannot be applied, thereby necessitating unique methodologies for model training and validation.
With various access control models and implementation methods available, constructing an authorization system for backend service APIs can still be challenging. However, the ultimate goal is to ensure that the correct individual has appropriate access to the relevant resource. In this article, we will discuss how to enable the Role-based access control (RBAC) authorization model for your API with open-source API Gateway Apache APISIX and Open Policy Agent (OPA).
Many organizations today are utilizing Kubernetes to orchestrate their containers’ deployment, scaling, and management. The benefits of this approach include faster deployment, easier and more effective management, cost reduction, and more. Because it’s critical that operations teams ensure that all internal resources are available for their users, synthetic monitoring of those resources is important.
Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. Organizations are increasingly turning to these cloud environments to stay competitive, remain agile, and grow. But as organizations rely more on cloud environments, data and complexity have proliferated. Teams struggle to maintain control of and gain visibility into all the applications, microservices and data dependencies these environments generate.
With the introduction of Davis ® root-cause detection , Dynatrace reduced the amount of single-alert spam that arises when large-scale incidences occur. Instead of immediately firing off an alert for all raw events, the Davis root-cause engine follows each violating service’s causal relationships. By automatically following the causal direction of the topology between services and their underlying infrastructure, Davis collects all raw events that belong to the same root cause and then not
Back in September 2020, I was researching open-source architectures - meaning looking at several customer solutions from my employer at the time - and developing a generic view of these solutions for certain use cases. One of the use cases is known as financial payments. Back in 2020, I kicked off a series covering this architecture with the article Payments Architecture - An Introduction.
There's only one weekend left until we get to EclipseCon 2009 - and I can't wait! You'll have already seen what talks I'm looking forward to. We'll have lots of coverage of the conference here at EclipseZone. Another really easy way to follow the conference is by using Twitter to follow EclipseCon people. All you need to do to find these people is head over to the EclipseCon Birds Nest.
Business continuity is the company’s capability to continue operating uninterrupted despite downtime. In the cloud context, this typically includes high availability (HA) and disaster recovery (DR). Their ultimate goal is to minimize all downtime risks as much as possible so that you can operate key services normally despite outages.
When it comes to making your data more reliable at scale, you can take a few routes: test your most critical pipelines and hope for the best, automated data quality monitoring, and end-to-end data observability.
In a Nutshell Software development is a team sport. Your individual performance doesn't matter as much as the performance of your whole team and company. By improving how you work, you only ADD to your team's performance. By improving how everyone works, you MULTIPLY your team's performance. Multiplying the whole team's performance will put you on a much faster lane for being noticed and promoted than being a crazy efficient individual contributor.
This is a question that I hear on a fairly regular basis, not just internally but from external customers as well. So it’s one that I would like to help you walk through so that you can really figure out what makes sense in your organization, and I think the answer is probably going to surprise you a little bit. I think probably the most important thing to understand is this isn’t a versus question.
In today's rapidly evolving technological landscape, the integration of Artificial Intelligence (AI) and Machine Learning (ML) with IT operations has become a game-changer. AIOps (Artificial Intelligence for IT Operations) is a cutting-edge solution that combines AI, ML, and automation to enhance DevOps practices and streamline IT operations. This article explores the transformative power of AIOps in driving intelligent automation and optimizing IT operations.
Retesting is a software testing technique that involves executing test cases again for a software application or system after defects have been fixed or changes have been made to ensure that the defects have been resolved and the changes made have not introduced new defects. The purpose of retesting is to verify that the previous defects have been fixed and that the application or system is working as expected.
In today’s digital age, the reliability and availability of software systems are critical to the success of businesses. Downtime or performance issues can have serious consequences, including financial loss and reputational damage. Therefore, it is essential for organizations to ensure that their systems are resilient and can withstand unexpected failures or disruptions.
When Celina John finalized her college project “Spam Classification through Machine Learning Algorithms,” we didn’t expect the scope of the work to be so huge since the domain has been constantly evolving and we had to firm up the scope and key deliverables. As technology grows, spam is growing exponentially in all electronic communication channels, be it email, short message service, or social media.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content