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Red Hat and Dynatrace are joining forces to revolutionize day One and day Two operations. A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. Managing incidents in corresponding tools.
Microservices-based architecture splits applications into multiple independent deployable services, where each service provides a unique functionality. Every architectural style has pros and cons. One of the challenges of micro-service architecture is complex debugging/troubleshooting. Distributed Tracing In a microservice world, distributed tracing is the key to faster troubleshooting.
As we’ve been introducing Valkey/Redis these past few weeks, let’s depart from the norm and talk about a few “things you should not do” in Valkey.No passwordBy default, Valkey/Redis uses no authentication. This means anyone can connect to your Valkey server and start writing and reading data.
My team and I set out to build a simple note taking aide, which transcribes and summarizes our meetings using Bedrock. Today, we’re making the proof of concept available to everyone.
MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. This allowed for sequential access and indexed access, but random writes could cause performance issues. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.
What is Fluent Bit? Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. However, you can also use Fluent Bit as a processor because you can perform various actions on the data. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend.
An encrypted home directory is typically used to protect a user's personal data by encrypting the contents of their home directory. This directory is only decrypted and mounted when the user logs in, providing an extra layer of security.
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An encrypted home directory is typically used to protect a user's personal data by encrypting the contents of their home directory. This directory is only decrypted and mounted when the user logs in, providing an extra layer of security.
MySQL 8.4 has now been officially released, and this is a quick review of what is in the release notes. This is momentous as it is designated a Long-Term Support (LTS) release. Various 8.0 releases introduced material changes that impacted speed and stability, causing hair-pulling and swearing among those affected.
Continuing our series of Performance Heroes, this month we celebrate Estela Franco ! Estela is a passionate web performance and technical SEO specialist with more than ten years of contributing to our community. She loves to talk and share about web performance optimization, technical SEO, JavaScript, and Jamstack whenever she can. By day, you can find Estela working as a web performance specialist for Schneider Electric in Barcelona, Spain.
Jules Damji discusses which infrastructure should be used for distributed fine-tuning and training, how to scale ML workloads, how to accommodate large models, and how can CPUs and GPUs be utilized?
Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. As cloud complexity grows, it brings more volume, velocity, and variety of log data.
In this article, I will discuss: The concept of Deep Work Why it is important in this day and age What are some of the unique challenges that Site Reliability Engineers face that make it hard to do Deep Work in their field? Some strategies that Site Reliability Engineering teams can employ to overcome these unique challenges and create an environment for Deep Work for SREs What Is Deep Work?
Have you ever read a news story about a major company experiencing a data breach that exposed millions of customer records? These breaches can be devastating, causing significant financial losses, reputational damage, and even legal repercussions.
Learn how Uber improved mobile testing reliability, and increased productivity for thousands of engineers, using machine learning to create DragonCrawl, a highly stable and low-maintenance testing system.
Learn PostgreSQL and SQL Quickly and Free Want to learn PostgreSQL? What if you could learn PostgreSQL without having to install the database, load data, find sample data, and it was free? PGExamples.com is what you are looking for. First, let me state that I have no connection to the website or its author. I discovered PgExercises.com by accident and was impressed by its quality and completeness.
Suhail Patel discusses the platforms and software patterns that made microservices popular, and how virtual machines and containers have influenced how software is built and run at scale today.
Across the globe, privacy laws grant individuals data subject rights, such as the right to access and delete personal data processed about them. Rising consumer expectations for transparency and control over their data, combined with increasing data volumes, contribute to the importance of swift and efficient management of privacy rights requests. “By 2026, fines due to mismanagement of subject rights will have increased tenfold from 2022 to total over $1 billion.” [1] –Gartner
I'm in the process of adding more components to my OpenTelemetry demo (again!). The new design deploys several warehouse services behind the inventory service so the latter can query the former for data via their respective HTTP interface. I implemented each warehouse on top of a different technology stack. This way, I can show OpenTelemetry traces across several stacks.
Coroot, an open source observability tool powered by eBPF, went generally available with version 1.0 last week. As this tool is cloud-native, we were curious to know how it can help troubleshoot databases on Kubernetes.In this blog post, we will see how to quickly debug PostgreSQL with Coroot and Percona Operator for PostgreSQL.
Learn how Uber serves over 40 million reads per second from its in-house, distributed database built on top of MySQL using an integrated caching solution: CacheFront.
Using a small python script we can liberate data from the “Analysis” page of prism element and send it to prometheus, where we can combine cluster metrics with other data and view them all on some nice Grafana dashboards. Output Prism Analysis Page Grafana Dashboard Prism Analysis Page Vs Grafana Dashboard method The method we … The post Using Prometheus and Grafana to monitor a Nutanix Cluster. appeared first on n0derunner.
At the annual Build conference, Microsoft announced the flex consumption plan for Azure Functions, which brings users fast and large elastic scale, instance size selection, private networking, availability zones, and higher concurrency control.
Stay compliant in an ever-changing environment As a platform for unified observability and security, Dynatrace provides intelligent answers that help you accelerate digital business transformation. Observing complex environments involves handling regulatory, compliance, and data governance requirements. This continuously evolving landscape requires careful management and clarity regarding how sensitive data is used.
With the complexity of modern software applications, one of the biggest challenges for developers is simply understanding how applications behave. Understanding the behavior of your app is key to maintaining its stability, performance, and security. This is a big reason why we do application logging : to capture and record events through an application’s lifecycle so that we can gain valuable insights into our application.
In a few of our previous blog posts, we’ve seen how to get started with Valkey/Redis by running a simple docker container and how to persist some configuration settings to disk. In this post, let’s take a step back and go over a few configuration best practices.ConnectionsThe Valkey/Redis config file is typically located at /etc/valkey/valkey.
Percona software releases and updates April 30 - May 15, 2024. Percona is a leading provider of unbiased, performance-first, open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive, free from vendor lock-in. Percona software is designed for peak performance, uncompromised security, limitless scalability, and disaster-proofed availability.
Let’s face it, there are a lot of new digital products in the market that just fall flat in today’s standard. A lot of companies are just developing anything today without any regards for its actual usability and design. Thankfully, our team at World Web Technology Pvt. Ltd. is here to help take your UI and UX efforts to the next level. World Web Technology Pvt.
As a technology executive, you’re aware that observability has become an imperative for managing the health of cloud and IT services. You may not be aware of how much untapped value is waiting to be unlocked through the right observability platform. Data with context can improve your ability to deliver on your goals, modernize your organization, and accelerate business transformation.
At a high level, bad data is data that doesn’t conform to what is expected. For example, an email address without the “ @ ”, or a credit card expiry where the MM/YY format is swapped to YY/MM. “Bad” can also include malformed and corrupted data, such that it’s completely indecipherable and effectively garbage. In any case, bad data can cause serious issues and outages for all downstream data users, such as data analysts, scientists, engineers, and ML and AI practitioners.
In November 2023, Bill Gates wrote an article about how AI would change the way we interact with computers and personal devices through so-called Agents: “Agents are not only going to change how everyone interacts with computers.
Kubernetes continues evolving, and the complexity of deploying and managing databases within the ecosystem is a topic of considerable discussion and importance these days. This article summarizes a detailed discussion between Piotr Szczepaniak and Diogo Recharte, who offer insights and live demonstrations to simplify database operations on Kubernetes with a new technology for cloud-native applications: Percona Everest.
I’ve given my share of presentations over the years. I am under no illusions that I am anything more than a marginal presenter. My presentations are information dense, a function of how I learn. Many years ago, I realized that I learn when I’m drinking from the fire hose, not when content is spoon fed to me. I am focused and engaged with the prior; I become disinterested and disengaged with the latter.
Logs provide answers, but monitoring is a challenge Manual tagging is error-prone Making sure your required logs are monitored is a task distributed between the data owner and the monitoring administrator. Often, it comes down to provisioning YAML configuration files and listing the files or log sources required for monitoring. This manual, error-prone approach can lead to monitoring gaps, which become critical when a host or service has an outage or incident.
For most people looking for a log management and analytics solution, Elasticsearch is the go-to choice. The same applies to InfluxDB for time series data analysis. These were exactly the choices of NetEase, one of the world's highest-yielding game companies but more than that. As NetEase expands its business horizons, the logs and time series data it receives explode, and problems like surging storage costs and declining stability come.
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