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Kubernetes is a widely used open source system for container orchestration. It allows for seamless running of containerized workloads across different environments. However, managing Kubernetes optimally can be a daunting task due to its complex architecture. Properly monitoring a Kubernetes cluster or any related environment can be difficult. Effective resource provisioning and management is a critical aspect of a Kubernetes cluster.
Part 1: The Challenge and the Workload FinOps is an evolving practice to deliver maximum value from investments in Cloud. Most organizations in their journey of adopting FinOps focus on highly tactical and visible activities. They perform activities post-deployment of the applications to help them understand and then optimize their cloud usage and cost.
By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team!
Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race.
Today, the ISO C++ committee completed its second meeting of C++26, held in Kona, HI, USA. Our hosts, Standard C++ Foundation and WorldQuant, arranged for high-quality facilities for our six-day meeting from Monday through Saturday. We had over 170 attendees, about two-thirds in-person and the others remote via Zoom, formally representing 21 nations.
In today’s rapidly evolving digital landscape, the way we manage databases is undergoing a transformative shift. The rise of Database-as-a-Service (DBaaS) is not just a trend but a strategic response to the growing complexities of data management. As CTOs, database developers & experts, and DBAs seek more efficient, secure, and scalable cloud services solutions, DBaaS emerges as a compelling choice.
Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026. The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures.
In Part 1 , we looked at the overview of FinOps as an evolving practice to deliver maximum value from investments in the cloud. We also discussed the challenge or the need for shifting left FinOps for better optimization of your cloud usage and cost. In part 2 of the series, we will walk you through the steps on how you go about creating the FinOps cost model for an example solution.
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In Part 1 , we looked at the overview of FinOps as an evolving practice to deliver maximum value from investments in the cloud. We also discussed the challenge or the need for shifting left FinOps for better optimization of your cloud usage and cost. In part 2 of the series, we will walk you through the steps on how you go about creating the FinOps cost model for an example solution.
by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized ( DO ) encoding helps achieve optimized bitrate-quality tradeoffs depending on the complexity of the content.
Oracle recently made their quarterly releases with MySQL 8.0.35 and MySQL 8.2. This blog post is a quick look at the release notes to see what these new versions bring to the community. You’ll want to keep an eye on the deprecations in particular because some long-accepted behavior, including wildcards, will change eventually. We get 83 and 50 bug fixes, respectively.
AWS published a new set of updates to its Well-Architected Framework, with changes across all six pillars of the framework. The performance efficiency and operational excellence pillars have been restructured and consolidated to reduce the number of best practices. Other pillars received improved implementation guidance, including recommendations and steps on reusable architecture patterns.
Imagine a world where your PostgreSQL® database connections are seamless and secure. It’s possible, but only if you master the art of configuring hostnames properly. In this blog post, we’ll guide you through understanding the PostgreSQL hostname, setting it up correctly, and utilizing it effectively in SQL queries. You’ll also learn how to troubleshoot common hostname issues and enhance security with proper hostname usage.
Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improve
Site reliability engineering (SRE) is a discipline in which automated software systems are built to manage the development operations (DevOps) of a product or service. In other words, SRE automates the functions of an operations team via software systems. The main purpose of SRE is to encourage the deployment and proper maintenance of large-scale systems.
By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. Now, let’s explore the state of our pipelines after incorporating Psyberg.
In this blog post, we will discuss how to extend Percona Monitoring and Management (PMM) to get PostgreSQL metrics on checkpointing activity, internal buffers, and WAL usage. With this data, we’ll be able to better understand and tune our Postgres servers. We’ll assume there are working PostgreSQL and PMM environments set up already. You can search the blog for more information on this if needed.
This is not the first time that I’ve written about AI creativity, and I doubt that it will be the last. It’s a question that comes up repeatedly, and that is very much in the current mind, with events like the strikes by the Writers’ Guild of America and the Screen Actors Guild , in which the use of AI to create scripts and to generate images of actors was an issue.
Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Computing environments are scaling to new heights, resulting in more data that makes pinpointing root causes and vulnerabilities even more challenging. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation.
In today’s evolving technological landscape, the shift from monolithic architectures to microservices is a strategic move for many businesses. This is particularly relevant in the domain of reimbursement calculation systems. As I mentioned in my previous article Part 1 , let's explore how such a transition can be effectively managed. The Monolithic Challenge Imagine a scenario where you have a large-scale, monolithic system - possibly a bulky C# console application or an extensive SQL Server sto
By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team. In this post, we will delve into a more detailed exploration of Psyberg’s two primary operational modes: stateless and stateful.
Earlier this year, Google announced that Interaction to Next Paint (INP) is no longer an experimental metric. INP will replace First Input Delay (FID) as a Core Web Vital in March of 2024. Now that INP has arrived to dethrone FID as the responsiveness metric in Core Web Vitals, we've turned our eye to scrutinizing its effectiveness. In this post, we'll look at real-world data and attempt to answer: What correlation – if any – does INP have with actual user behavior and business metri
Tim O’Reilly forwarded an excellent article about the OpenAI soap opera to me: Matt Levine’s “ Money Stuff: Who Controls Open AI.” I’ll skip most of it, but something caught my eye. Towards the end, Levine writes about Elon Musk’s version of Nick Bostrom’s AI that decides to turn the world to paper-clips : [Elon] Musk gave an example of an artificial intelligence that’s given the task of picking strawberries.
If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. You may already be using it daily and find it makes running applications in the cloud much more manageable. But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors.
In the previous installment of this blog series , we explored how to set up Dynatrace as a build-stage orchestrator to effectively address the challenges faced by Site Reliability Engineers (SREs). In this blog post, we’ll transition to the next pipeline stage, the Deploy stage, and examine the visibility advantages that Dynatrace provides during this critical phase.
This is an article from DZone's 2023 Observability and Application Performance Trend Report. For more: Read the Report Employing cloud services can incur a great deal of risk if not planned and designed correctly. In fact, this is really no different than the challenges that are inherit within a single on-premises data center implementation. Power outages and network issues are common examples of challenges that can put your service — and your business — at risk.
Boris Chen , Ben Klein , Jason Ge , Avneesh Saluja , Guru Tahasildar , Abhishek Soni , Juan Vimberg , Elliot Chow , Amir Ziai , Varun Sekhri , Santiago Castro , Keila Fong , Kelli Griggs , Mallia Sherzai , Robert Mayer , Andy Yao , Vi Iyengar , Jonathan Solorzano-Hamilton , Hossein Taghavi , Ritwik Kumar Introduction Today we’re going to take a look at the behind the scenes technology behind how Netflix creates great trailers, Instagram reels, video shorts and other promotional videos.
John Spray describes an experience of building high performance systems with C++20 in an asynchronous runtime, and explores the challenges & tradeoffs in adopting a thread-per-core architecture.
The Builders' Library gathers the expertise of Amazon's most experience builders in one place. One article that really got me thinking was Colm MacCárthaigh's "Reliability, constant work, and a good cup of coffee" which is about an anti-fragility pattern that he developed for building simple, more robust, and cost-effective systems.
With the release of Percona XtraBackup 8.0.34-39 , Percona XtraBackup (PXB) allows a backup on server version 8.0.35 and higher. We have removed the server version check because the MySQL 8.0 series has transitioned to bug fixes. A feature change in the MySQL 8.0 series, such as the redo log record structure, could cause PXB to fail when taking a backup.
Over the years, I have watched and written about online retail and e-commerce IT performance. What I have seen is a maturing of the online retail channels when it comes to delivering customer experiences. What was once an onslaught of consumer traffic between Black Friday and Cyber Monday has turned into a weeklong event, with most retailers offering deals well ahead of Black Friday.
Hello everyone! In this article, I want to share my knowledge and opinion about the data types that are often used as an identifier. Today we will touch on two topics at once. These are measurements of search speed by key and data types for the key on the database side. I will use a PostgreSQL database and a demo Java service to compare query speeds.
Iroro Orife , Chih-Wei Wu and Yun-Ning (Amy) Hung Introduction When you enjoy the latest season of Stranger Things or Casa de Papel (Money Heist) , have you ever wondered about the secrets to fantastic story-telling, besides the stunning visual presentation? From the violin melody accompanying a pivotal scene to the soaring orchestral arrangement and thunderous sound-effects propelling an edge-of-your-seat action sequence, the various components of the audio soundtrack combine to evoke the very
tl;dr: Google research found that psychological safety is the most important dynamic for an effective team. This was alongside other dynamics like dependability, role clarity, meaningful work and impact.
HubSpot adopted routing messages over multiple Kafka topics (called swimlanes) for the same producer to avoid the build-up in the consumer group lag and prioritize the processing of real-time traffic. Using a combination of automatic and manual detection of traffic spikes, the company ensures the majority of customers’s workflows execute without delays.
Sometimes, there is a need to update the table and index statistics manually using the ANALYZE TABLE command. Without going further into the reasons for such a need, I wanted to refresh this subject in terms of overhead related to running the command on production systems. However, the overhead discussed here is unrelated to the usual cost of diving into table rows to gather statistics, which we can control by setting the number of sample pages.
In the first blog post of this series , we explored how the Dynatrace ® observability and security platform boosts the reliability of Site Reliability Engineers (SRE) CI/CD pipelines and enhances their ability to focus on innovation. This blog post guides you through configuring Dynatrace to automate CI/CD processes to achieve these objectives. Dynatrace observability architecture can be classified into three layers: Orchestration (Dynatrace) CI/CD toolset (Jenkins / Chef / Puppet / Bamboo, etc.
With its ability to scale, be flexible, and be cost-effective, cloud computing has completely changed how businesses operate. However, it can be difficult to manage and keep an eye on the intricate infrastructure of cloud environments. Tools for monitoring the cloud in this situation are useful. With the help of these potent tools, businesses can monitor the performance, availability, and security of their cloud resources in real-time.
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