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Dynatrace integrates with Tenable to provide a single pane of glass for security findings across various environments and products, allowing unified analysis, prioritization, and orchestration of findings. With the enriched runtime context, you can focus on critical issues that impact your production apps and help reduce noise for the DevSecOps teams that remediate those issues.
There are many ways to deploy your microservices, each offering different levels of control, simplicity, and scalability. One approach is using Elastic Beanstalk , a fully managed service that simplifies deployment, scaling, and management. Another option is to deploy manually, giving you full control over the infrastructure but requiring more setup and maintenance.
Part 2: Navigating Ambiguity By: VarunKhaitan With special thanks to my stunning colleagues: Mallika Rao , Esmir Mesic , HugoMarques Building on the foundation laid in Part 1 , where we explored the what behind the challenges of title launch observability at Netflix, this post shifts focus to the how. How do we ensure every title launches seamlessly and remains discoverable by the right audience?
At Percona, we’ve always prioritized performance, and recent trends in MySQL’s development have been a point of concern for us. In particular, the performance deterioration in the MySQL 8.4.x and 9.y versions caught our attention, as highlighted in Marco Tusas insightful blog post, Sakila, Where Are You Going?
Percona Toolkit 3.7.0 has been released on Dec 23, 2024. The main feature of this release is MySQL 8.4 support. In this blog, I will explain what has been changed. A full list of improvements and bug fixes can be found in the release notes. TLDR; Replication statements in 8.4 are fully supported by the Percona Toolkit pt-slave-delay has been deprecated. pt-slave-find has been renamed to pt-replica-find.
The median web page is 8% bigger than it was just one year ago. How does this affect your page speed, your Core Web Vitals, your search rank, your business, and most important – your users? Keep scrolling for the latest trends and analysis. For almost fifteen years, I've been writing about page bloat, its impact on site speed, and ultimately how it affects your users and your business.
Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. Your trained eye can interpret them at a glance, a skill that sets you apart. However, your responsibilities might change or expand, and you need to work with unfamiliar data sets.
Prometheus is a powerful monitoring tool that provides extensive metrics and insights into your infrastructure and applications, especially in k8s and OCP (enterprise k8s). While crafting PromQL (Prometheus Query Language) expressions, ensuring accuracy and compatibility is essential, especially when comparing metrics or calculating thresholds. In this article, we will explore how to count worker nodes and track changes in resources effectively using PromQL.
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Technology Performance Pulse brings together the best content for technology performance professionals from the widest variety of industry thought leaders.
Prometheus is a powerful monitoring tool that provides extensive metrics and insights into your infrastructure and applications, especially in k8s and OCP (enterprise k8s). While crafting PromQL (Prometheus Query Language) expressions, ensuring accuracy and compatibility is essential, especially when comparing metrics or calculating thresholds. In this article, we will explore how to count worker nodes and track changes in resources effectively using PromQL.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1. In this article, we highlight a few exciting analytic business applications, and in our final article well go into aspects of the technical craft.
If youre managing a PostgreSQL database and handling sensitive data or PII, the answer is simple: You need data-at-rest encryption. This isnt just a “nice-to-have” featureits often a legal or regulatory requirement. Compliance auditors, security officers, and privacy-conscious customers all expect it. But is this enough? We think NO!
TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.
We’re excited to announce the release of Percona Monitoring and Management (PMM) 3.0.0 GA. The Percona Monitoring and Management (PMM) 3.0.0 release delivers major security and stability enhancements. Notable security improvements include rootless deployments and encryption of sensitive data, along with improved API authentication using Grafana service accounts.
Traditional monitoring approaches often require manual scripting and integration to get alerted about production-threatening issues in pre-production environments. Dynatrace Simple Workflows make this process automatic and frictionlessthere is no additional cost for workflows. By offering a single trigger and a single task, you can rapidly set up an action (like Slack or email notifications) to detect specific exceptions in your services.
SQL Server is a powerful relational database management system (RDBMS), but as datasets grow in size and complexity, optimizing their performance becomes critical. Leveraging AI can revolutionize query optimization and predictive maintenance, ensuring the database remains efficient, secure, and responsive. In this article, we will explore how AI can assist in these areas, providing code examples to tackle complex queries.
What Adrian Did NextPart 4how I helped Netflix launch on iPad and iPhone2007 to2010 Screen shots from Adrians Instant Queue Add for Netflix iPhone App in2008 Ive been meaning to get another installment of my career history posted for a while. The 15th anniversary of the launch of the iPad gave me a reason to pull out a chunk of that history into thispost.
This article will be helpful if you use the Percona Monitoring and Management (PMM) instance and alert notifications, as it is nice to capture the image of the graph when you receive the alert.
How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic. Too many concurrent server requests can lead to website crashes if youre not equipped to deal with them.
One of the things I love most about OpenTelemetry (OTel) is that its vendor-neutral, which means you can send the same OpenTelemetry data to different vendors. In fact, most of the major Observability vendors out there not only support ingesting OpenTelemetry data but also actively contribute to the project, including Dynatrace. Check out the 2023 OpenTelemetry Journey Report for more info.
As per the saying If you dont measure it, you cant manage it by Deming , observability and monitoring is our way to measure our services. Kubernetes is pretty revolutionary when it comes to the way it handles deployments and scales. But the way containers are continuously created and destroyed can sometimes present challenges with monitoring. This is where observability comes into play, offering critical insights into how your system is performing and why issues occur.
Let's kick off the new year by celebrating someone who has not just had a huge impact on web performance over the past few years, but who has even more exciting stuff in the works for the future: Annie Sullivan! Annie leads the Chrome Speed Metrics team at Google, which has arguably had the most significant impact on web performance of the past decade.
Large tables can pose challenges for many operations when working with a database. Occasionally, we may need to modify the table definition. Since RDS replication does not use asynchronous for its replication, the typical switchover procedure is not feasible.
Tight Mode: Why Browsers Produce Different Performance Results Tight Mode: Why Browsers Produce Different Performance Results Geoff Graham 2025-01-09T13:00:00+00:00 2025-01-09T14:35:05+00:00 This article is sponsored by DebugBear I was chatting with Debug B ear s Matt Zeunert and, in the process, he casually mentioned this thing called Tight Mode when describing how browsers fetch and prioritize resources.
January has been notable for the number of important announcements in AI. For me, two stand out: the US governments support for the Stargate Project, a giant data center costing $500 billion, with investments coming from Oracle, Softbank, and OpenAI ; and DeepSeeks release of its R1 reasoning model , trained at an estimated cost of roughly $5 milliona large number but roughly one-tenth what it cost OpenAI to train its o1 models.
As more organizations embrace DevOps and CI/CD pipelines, GitHub-hosted runners and GitHub Actions have emerged as powerful tools for automating workflows. But as with many other automation tools, it can be difficult to maintain the performance and visibility of these workflows. That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines.
Multi-tenancy has become an important feature for modern enterprise applications that need to serve multiple clients (tenants) from a single application instance. While an earlier version of Hibernate had support for multi-tenancy, its implementation required significant manual configuration and custom strategies to handle tenant isolation, which resulted in higher complexity and slower processes, especially for applications with a number of tenants.
We’re excited to announce the Tech Preview release of Percona Monitoring and Management (PMM) 3.0.0 (GA). This release is intended for testing environments only, as it’s not yet production-ready. The public release will be available through standard channels in upcoming days. The Percona Monitoring and Management (PMM) 3.0.0 release delivers major security and stability enhancements.
Here is part two of my MySQL with Diagrams series (Here’s part one – MySQL with Diagrams Part One: Replication Architecture). We are going to explore how MySQL handles thread termination using the KILL command, as visualized in the provided diagram, and provide sample demonstrations to help you better understand.
In the not too distant past, software development was notorious for taking too long, costing too much, and having a high rate of cancellation. Companies spent months doing up-front analysis and design before a line of code was written. The entire solution was coded before being deemed ready to test. Users only got a glimpse of the software shortly before the go-live date.
In todays data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis, a powerful in-memory data store, is no exception. With its widespread use in modern application architectures, understanding the ins and outs of Redis monitoring is essential for any tech professional. Buckle up as we delve into the world of Redis monitoring, exploring the most important Redis metrics, discussing essential tools, and even peering into the future of Redis performance
The Importance of Resilience in a Complex Regulatory Landscape In today’s digital age, operational resilience is paramount for businesses striving to maintain seamless operations and safeguard their reputation. The ability to quickly react to incidents is no longer sufficient; organizations must proactively prevent issues and manage risks to ensure continuous service delivery.
After years of working in the intricate world of software engineering, I learned that the most beautiful solutions are often those unseen: backends that hum along, scaling with grace and requiring very little attention. My own journey of redesigning numerous systems and optimizing their performance has taught me time and again that creating a truly low-maintenance backend is an art that goes far beyond simple technical implementation.
The latest release of the Percona Operator for MongoDB, version 1.19, is here. It brings a suite of enhancements designed to streamline your MongoDB deployments on Kubernetes. This release introduces a technical preview of remote file server backups, simplifies user management with auto-generated passwords, supports Percona Server for MongoDB 8.0, and includes numerous other improvements and bug fixes.
What index will be used when you count all rows in a table? Well, the MySQL documentation provides a straightforward answer to this, quoting: InnoDB processes SELECT COUNT(*) statements by traversing the smallest available secondary index unless an index or optimizer hint directs the optimizer to use a different index.
A deep dive into how browser cache partitioning has fundamentally changed web performance optimization, examining the trade-offs between privacy and performance in modern web applications.
Heading into 2024, SQL databases will remain essential in data management, increasingly using distributed systems to meet growing needs for scalability and reliability. According to 2023 statistics, 49% of web applications use an SQL-based database , with SQL having a 75% adoption rate in the IT industry. In this post, well cover the importance of distributed SQL databases, their benefits, and the strategic management they require.
What is TX-RAMP? The Texas Risk and Authorization Management Program (TX-RAMP) provides a standardized approach for security assessment, certification, and continuous monitoring of cloud computing services that process the data of Texas state agencies. TX-RAMP certification requires cloud service providers to meet the stringent security and privacy standards set by the Texas Department of Information Resources (DIR).
Ensuring database consistency can quickly become chaotic, posing significant challenges. To tackle these hurdles, it's essential to adopt effective strategies for streamlining schema migrations and adjustments. These approaches help implement database changes smoothly, with minimal downtime and impact on performance. Without them, the risk of misconfigured databases increases just as Heroku experienced.
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