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If you use Windows, you will want to monitor Windows Events. A recent contribution of a distribution of the OpenTelemetry (OTel) Collector makes it much easier to monitor Windows Events with OpenTel. You can utilize this receiver either in conjunction with any OTel collector: including the OpenTelemetry Collector. In this article, we will be using observIQ’s distribution of the collector.
By Gustavo Carmo , Elliot Chow , Nagendra Kamath , Akshay Modi , Jason Ge , Wenbing Bai , Jackson de Campos , Lingyi Liu , Pablo Delgado , Meenakshi Jindal , Boris Chen , Vi Iyengar , Kelli Griggs , Amir Ziai , Prasanna Padmanabhan , and Hossein Taghavi Figure 1 - Media Machine Learning Infrastructure Introduction In 2007, Netflix started offering streaming alongside its DVD shipping services.
Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems. But to be scalable, they also need low-code/no-code solutions that don’t require a lot of spin-up or engineering expertise.
Previously, I wrote about our Terraform provider to deploy Percona Server for MySQL ( Percona Server for MySQL: Automatic Cloud Deployment With Terraform ) and Percona Monitoring and Management ( Deploying Percona Monitoring and Management (PMM) With Terraform ). Now we also added the capability to deploy Group Replication configuration with Percona Server for MySQL, and assuming we have PMM installed (see previous post), we also can automatically add Group Replication nodes to PMM monitoring. r
Over the past years, the adoption of Agile and DevOps grew, and together with it, we have also observed the rise of DevSecOps. Such practice recommends shifting left security testing and remediation of security vulnerabilities as early as possible within the SDLC. While the idea is great, and we’ve seen the rise of many types of security testing tools, for developers that are no security experts, finding the needle in a haystack white using such tools is a challenge and a delay to the overall re
On Saturday, the ISO C++ committee completed technical work on C++23 in Issaquah, WA, USA! We resolved the remaining international comments on the C++23 draft, and are now producing the final document to be sent out for its international approval ballot (Draft International Standard, or DIS) and final editorial work, to be published later in 2023. Our hosts, the Standard C++ Foundation, WorldQuant, and Edison Design Group, arranged for high-quality facilities for our six-day meeting from Monday
Continuous security evaluation of deployed applications is crucial in today’s world because the digital landscape is increasingly complex, and the threat of cyber-attacks is rising. With the increasing amount of sensitive information stored and processed, it’s essential to ensure that systems are secure and protected against potential threats.
Recently, we released Percona Monitoring and Management 2.34 (PMM) which includes upgrades for backup and Database as a Service (DBaaS) features, and we are seeking ways to simplify PMM deployment. Previously I wrote about our Terraform provider to deploy Percona Server for MySQL — Percona Server for MySQL: Automatic Cloud Deployment with Terraform — and now we added capabilities to deploy PMM with Terraform.
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Recently, we released Percona Monitoring and Management 2.34 (PMM) which includes upgrades for backup and Database as a Service (DBaaS) features, and we are seeking ways to simplify PMM deployment. Previously I wrote about our Terraform provider to deploy Percona Server for MySQL — Percona Server for MySQL: Automatic Cloud Deployment with Terraform — and now we added capabilities to deploy PMM with Terraform.
Connectivity is so daunting. By far, we are all used to instant connectivity that puts the world at our fingertips. We can purchase, post, and pick anything, anywhere, with the aid of desktops and devices. But how does it happen? How do different applications in different devices connect with each other? Allowing us to place an order, plan a vacation, make a reservation, etc., with just a few clicks.
Everybody knows about ChatGPT. And everybody knows about ChatGPT’s propensity to “make up” facts and details when it needs to, a phenomenon that’s come to be called “hallucination.” And everyone has seen arguments that this will bring about the end of civilization as we know it. I’m not going to argue with any of that. None of us want to drown in masses of “fake news,” generated at scale by AI bots that are funded by organizations whose intentions are most likely malign.
Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform. The app also enables SREs to set and automate service-level objectives (SLOs) for critical services.
ChatGPT is the hottest topic in the tech world right now. One story even says that ChatGPT has passed Google’s Level 3 programming interview. I wondered, does that mean ChatGPT is ready to replace MySQL DBAs, too? No. Let me show you why. Recently, one of our clients was considering encrypting their data at rest using the Percona file-based keyring plugin.
In this article, I’m going to demonstrate how you can migrate a comprehensive web application from MySQL to YugabyteDB using the open-source data migration engine YugabyteDB Voyager. Nowadays, many people migrate their applications from traditional, single-server relational databases to distributed database clusters. This helps improve availability, scalability, and performance.
It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made.
The number of containers pushed from development into production continues to increase—as does the speed of container deployment. This introduces challenges for security and development teams. “By 2027, more than 90% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 40% in 2021.” — Gartner, 2023 Frequent deployments, rollbacks, feature-flag changes, and progressive delivery make it increasingly complex to understand
Bloom filters are an essential component of an LSM-based database engine like MyRocks. This post will illustrate through a simple example how bloom filters work in MyRocks. Why? With MyRocks/RocksDB, data is stored in a set of large SST files. When MyRocks needs to find the value associated with a given key, it uses a bloom filter to guess if the key could potentially be in an SST file.
Each data point in a system that produces data on an ongoing basis corresponds to an Event. Event Streams are described as a continuous flow of events or data points. Event Streams are sometimes referred to as Data Streams within the developer community since they consist of continuous data points. Event Stream Processing refers to the action taken on generated Events.
This article was co-authored by Eduardo da Silva and Nick Tune based on our individual and collective experiences. FThis article describes a pattern we have observed and applied in multi-team-scope architecture modernization initiatives, the Architecture Modernization Enabling Team (AMET). An AMET is a type of architecture enabling team that coordinates and upskills all teams and stakeholders in the modernization initiative.
The benefits of the cloud are undeniable. With increased scalability, agility, and flexibility, cloud computing enables organizations to improve supply chains, deliver higher customer satisfaction, and more. But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. “The cloud is delivering an explosion of data and an incredible increase in its complexity.
Yes, MySQL DBAs can learn PostgreSQL! This series is for those who know MySQL and want to expand their knowledge, see how another database works, or are looking to expand their career horizons. In this episode we will look at transactions. Yes, MySQL with InnoDB does have the ability to perform transactions and this is a case where both MySQL and PostgreSQL work pretty much the same way.
SaaS applications are the new normal nowadays, and software providers are looking to transform their applications into a Software As a Service application. For this, the only solution is to build a multi-tenant architecture SaaS application. Have you ever wondered how Slack, Salesforce, AWS (Amazon Web Services), and Zendesk can serve multiple organizations?
USENIX's SREcon conference is the best venue for learning the latest in systems engineering (not just site reliability engineering) and if you have useful production stories and takeaways to share -- especially if you are in the Asia/Pacific region -- please consider submitting a talk proposal to [SREcon APAC 2023]. The [call for participation] ends on March 2nd, only two weeks away.
We have released Dynatrace version 1.260. To learn what’s new, have a look at the release notes. The post Dynatrace SaaS release notes version 1.260 appeared first on Dynatrace news.
Recently, I was working with my colleagues Edwin Wang and Taras Onishchuk and found an interesting edge case involving a situation where a replica running Percona Server for MySQL 5.7 , external to AWS Aurora instance version 2.10.2 (5.7-compatible), broke. I recreated the issue in my lab with a simple create database statement, as you will see below.
In earlier days, it was easy to deduct and debug a problem in monolithic applications because there was only one service running in the back end and front end. Now, we are moving toward microservices architecture, where applications are divided into multiple independently deployable services. These services have their own goal and logic to serve. In this kind of application architecture, it becomes difficult to observe how one service depends on or affects other services.
Managing infrastructure, configurations, and resources can be a daunting task. Serverless helps you manage all the resources and improve business focus. However, there are challenges to the adoption of serverless architecture.
How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. As observability and security data converge in modern multicloud environments, there’s more data than ever to orchestrate and analyze. The goal is to turn more data into insights so the whole organization can make data-driven decisions and automate processes.
It’s time for the release roundup! Percona is a leading provider of unbiased open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive. Our Release Roundups showcase the latest Percona software updates, tools, and features to help you manage and deploy our software.
In this article, we will explore Azure Observability, the difference between monitoring and observability , its components, different patterns, and antipatterns. Azure Observability is a powerful set of services provided by Microsoft Azure that allows developers and operations teams to monitor, diagnose, and improve the performance and availability of their applications.
Black box testing functions on not knowing a software’s internal structure. This lack of information is necessary because, generally, the end user is not familiar with or concerned with how the system operates. The black box approach allows the tester to assess from the user’s point of view. Black Box Testing Basics The main focus of black box testing is inputs and outputs.
Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. As cloud environments become increasingly ubiquitous, so does the need for effective and efficient management. Dynatrace integrates observability and security monitoring while leveraging causal AI to deliver answers and intelligent automation from data at an enor
The final PostgreSQL 10 release was published on November 10, 2022, according to the PostgreSQL versioning policy page. Please remember that the final PostgreSQL 11 release is planned for November 9, 2023. Following Percona’s Release Lifecycle policies, we follow and recommend PostgreSQL community timelines. There won’t be any public builds available from both community and Percona for bugs or security fixes.
Both GraphQL and Protocol Buffers (Protobuf) are types of formats for transferring data between client and server. Each has its own set of advantages and disadvantages, and are used in different contexts, depending on the specific requirements of an application. GraphQL is a query language and API runtime designed to provide a consistent and flexible way to fetch and manipulate data.
So you need to build an application with minimal operating costs that can also scale to meet the growing demand of your business. This is a perfect scenario for a serverless function, like those built with Azure Functions. With serverless functions you can focus more on the application and less on the infrastructure and operations side of things. However, what happens when you need to include a database in the mix?
As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. Yet, as organizations embark on a cloud migration journey, they face overwhelming cloud complexity and an explosion of data to manage. And although technology has become more central to their business strategies, they are juggling many priorities in digital transformation.
TL;DR If your storage system implements inline compression, performance results with small IO size random writes with time_based and runtime may be inflated with fio versions < 3.3 due to fio generating unexpectedly compressible data when using fio’s default data pattern. Although unintuitive, performance can often be increased by enabling compression especially if the bottleneck … The post fio versions < 3.3 may show inflated random write performance appeared first on n0deru
In this installment of the series covering my journey into the world of cloud-native observability, I'm continuing to explore an open-source dashboard and visualization project. If you missed any of the previous articles, head on back to the introduction for a quick update. After laying out the groundwork for this series in the initial article, I spent some time in the second article sharing who the observability players are.
Phil Calçado explores how they dealt with the hyper growth phase and what are the changes and initiatives they have put in place to make sure that they keep growing and pushing the envelope.
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