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Dynatrace news. In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Dynatrace Davis® AI has proven over the past four years that a fully automated approach to problem analysis is the only valid approach—especially in highly dynamic, web-scale cloud environments where manual root cause analysis is impossible.
When considering a new cloud provider, the big names come to mind - AWS, Azure, and Google Cloud. If you’re a developer, you might even be considering a dev-friendly cloud like DigitalOcean or Linode. But, did you know there’s a (relatively) new player in the cloud game? Oracle Cloud Infrastructure (OCI) is a cloud computing […].
Code review is a technique that can improve the quality of a codebase by having multiple developers look for bugs and other problems before passing them on to others. Manual code reviews are costly and time-consuming, which is why many development teams use automated tools to do this work. Automated code review tools can help you automate the process, improve your code quality, and save valuable developer time.
Orchestrated Functions as a Microservice by Frank San Miguel on behalf of the Cosmos team Introduction Cosmos is a computing platform that combines the best aspects of microservices with asynchronous workflows and serverless functions. Its sweet spot is applications that involve resource-intensive algorithms coordinated via complex, hierarchical workflows that last anywhere from minutes to years.
Dynatrace news. Used properly, APIs can unlock genuine digital transformation and free you up to focus on the unique value your organization delivers. Dynatrace v2 APIs make it as easy as possible to get started with monitoring automation and to solve your business problems with data-driven answers. Top use-cases cover: Monitoring metrics in build pipelines for remediation efforts.
I am pleased to share that the AWS Asia Pacific (Osaka) Region has transitioned from a Local Region into a standard region with three Availability Zones (AZs), a broader (and growing) service portfolio, free tier option, and new pricing options. The region joins the existing 25 AZs in eight AWS Regions across Asia Pacific in Beijing, Hong Kong, Mumbai, Ningxia, Seoul, Singapore, Sydney, and Tokyo.
As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Most of us, as we spend years in our jobs — tend to be proficient in at least one of these.
Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry? It can be hard to know from the outside.
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Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. What does this title mean within a given company, or even within a given industry? It can be hard to know from the outside.
As I started to work for MongoDB, I started to get questions about MongoDB performance. We do have a lot of great resources that can help with MongoDB performance. First of all, it is MongoDB and Atlas documentation: Performance , Monitoring , and Query Optimization. Atlas Performance Overview and Monitor Your Cluster documentation. Production Notes have some performance-related information too.
The State Of Mobile And Why Mobile Web Testing Matters. The State Of Mobile And Why Mobile Web Testing Matters. Kelvin Omereshone. 2021-03-02T16:30:00+00:00. 2021-04-14T15:55:39+00:00. Things have changed quite a bit over the last decade when we just started exploring what we could do on a tiny, shiny mobile screen. These days, with mobile traffic accounting for over 50% of web traffic , it’s fair to assume that the very first encounter of your prospect customers with your brand will happen on a
Over the course of several posts, we have seen how, as a result of the evolution of application architectures, new needs arise in the field of testing. We have focused on a specific one. As important as testing the functionalities in consumer and producer independently is, so also is ensuring that the interaction between them is correct. We have seen that we have Contract Testing within our reach, with different approaches and tools that allow us to address this specific need.
For DevOps teams, quality assurance isn’t enough: You need to up your game to quality engineering if you expect to increase velocity and improve quality through continuous integration.
Of course, there are upfront and ongoing costs associated with any computer network. The servers themselves, cabling, network switches, racks, load balancers, firewalls, power equipment, air handling, security, rent/mortgage, not to mention experienced staff to keep it all running smoothly, all come with a cost. Companies today have, for the most part, accepted this as just another cost of doing business in the modern world.
In February 2012 I began working for a new company. On my first day, I deployed to production. I was lost for words. It felt like magic. Every day was the same: pick the highest priority item, implement it, and then deploy to production immediately. After 6 months, I was still pinching myself. The experience for me as a developer, the Developer Experience (DX), was energising and motivating.
When it comes to artificial intelligence (AI) and machine learning (ML) in testing, much of the interest and innovation today revolves around the concept of using these technologies to improve and accelerate the practice of testing. The more interesting problem lies in how you should go about testing the AI/ML applications themselves. In particular, how can you tell whether or not a response is correct?
In this article, we will learn what is plan regression and how we can fix this issue with help of the Automatic Plan Correction feature. Introduction Sometimes, query tuning operations can get very challenging and complicated in SQL Server. With the SQL Server 2016, a new feature Query Store has been introduced and this feature […].
You might have heard how Node.js apps power businesses with high speed & performance. However, what are these businesses? & which companies use node.js? Are these common questions you stumble upon while reading about Node.js? If so, this blog will help you navigate 13 of our favourite & top global companies which use Node.js in production and help you identify their challenges and results.
As described in my previous article , we are handling a performance issue when solving 100k row decision tables. Solution 2: Precompile the SpreadSheet Rule.
In recent days, I’ve been reminded of some core company values, once fresh and different, later taken for granted. It was good to be reminded of them. * * * I was on a call the other day when a member of the client’s team said, “we don’t prioritize because something is easy, we prioritize something because it is hard.” They went on to acknowledge that some of my colleagues had counseled them to do this some months before I started working with them.
Most of the applications being developed today have complex requirements. Hence, they need to be tested thoroughly and for each use-case, before they are ready to be deployed in the production server. We all know how important it is to perform unit testing on separate modules or “units of codes”. However, even if a software component has successfully passed unit testing, it has little to no value if the component does not integrate well with the application, especially in an enterprise-level n-t
(External) memory fragmentation is a long-standing Linux kernel programming issue. As the system runs, it assigns various tasks to memory pages. Over time, memory gets fragmented, and eventually, a busy system that is up for a long time may have only a few contiguous physical pages. Because the Linux kernel supports virtual memory management, physical memory fragmentation is often not an issue.
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