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Event-driven architecture (EDA) gives your system the ability to receive and respond to changes in real time, making it easier to scale. Decoupling components is the core theme of EDA, which makes it flexible, allowing it to scale asynchronously based on events. This approach makes systems reactive, scalable, and resilient to failures. Designing and maintaining, like any other large-scale framework, requires deep thinking and constant monitoring.
On March 4, Broadcom issued VMSA-2025-0004, a critical security advisory affecting VMware ESXi versions 7.0 and 8.0. This advisory addresses three distinct vulnerabilities with severity ratings ranging from High to Critical and CVSSv3 scores of 7.1 to 9.3. Organizations running these ESXi versions should prioritize implementing the recommended patches or mitigations to protect their virtualization infrastructure from these significant security threats.
At Percona, we’re committed to providing you with the best database monitoring and management tools. With the release of Percona Monitoring and Management 3 (PMM 3), we’re now entering a critical phase in the lifecycle of PMM 2.
Although tRPC v11 has been production-ready for a long time via the @next tag, we've gotten kinda addicted to adding new features without being sticklers to semantic versioning. Today, we're excited to finally be ripping off the band-aid and announcing the official release of tRPC v11! Since our last major version release in November 2022, the tRPC community has seen substantial growth: We now have over 35,000 stars on GitHub A Discord community with over 5,000 members 700k+ weekly npm downloads
Kubernetes Site Reliability Engineers (SREs) frequently encounter complex scenarios demanding swift and effective troubleshooting to maintain the stability and reliability of clusters. Traditional debugging methods, including manual inspection of logs, event streams, configurations, and system metrics, can be painstakingly slow and prone to human error, particularly under pressure.
Until recently, improvements in data center power efficiency compensated almost entirely for the increasing demand for computing resources. However, this trend is now reversing. The rise of big data, cryptocurrencies, and AI means the IT sector contributes significantly to global greenhouse gas emissions. This also presents a substantial opportunity for impact with sustainable IT practices.
If you’re running enterprise applications, you might be facing a common dilemma: cloud solutions offer great features, but regulatory constraints and data sovereignty laws might prevent you from using them fully. In fact, about 60% of enterprises struggle with this exact problem.
Comparing site outages to page slowdowns is like comparing a tire blowout to a slow leak. One is big and dramatic. The other is quiet and insidious. Either way, you end up stranded on the side of the road. Downtime is horrifying for any company that uses the web as a vital part of its business (which is to say, most companies). Some of you may remember the Amazon outage of 2013, when the retail behemoth went down for 40 minutes.
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Comparing site outages to page slowdowns is like comparing a tire blowout to a slow leak. One is big and dramatic. The other is quiet and insidious. Either way, you end up stranded on the side of the road. Downtime is horrifying for any company that uses the web as a vital part of its business (which is to say, most companies). Some of you may remember the Amazon outage of 2013, when the retail behemoth went down for 40 minutes.
When it comes to customer satisfaction, providing excellent service isnt optional anymore its essential for success. With this, traditional monitoring tools are struggling to keep up as IT systems grow more complex with microservices, dynamic setups, and distributed networks. At the next level, the concept of observability is introduced, whereby people become aware of it as a solution.
More organizations are adopting the OpenTelemetry observability standard in pursuit of a vendor-neutral solution to manual instrumentation, sending data to multiple vendors, and gaining insight into third-party services. But as most developers know, its the observability backend that reveals the value of your data and instrumentation strategy. The OpenTelemetry community created its demo application, Astronomy Shop, to help developers test the value of OpenTelemetry and the backends they send th
In this blog, we will look at the differences between LTS (Long Term Stable) versions of Percona Server for MySQL. Released in April 2019, MySQL 8.0 represented a major change from the previous version, 5.7, introducing significant changes to the data dictionary and enabling many features and enhancements.
This guide explains how to set up a MongoDB 8 Replica Set and monitor it using PMM 3, all within Docker. We’ll guide you through the steps to create a local environment, configure the necessary components, and connect them for effective monitoring and management. The guide is written in detail for beginners. In the conclusion section there are ready configurations for the experienced.
If your company is building any kind of AI product or tool, congratulations! You are now an AI company. Yes, you’re still a retail company. Or a bank. Or a CPG operation. You’re that plus an AI companylet’s call this an AI as Well company (AIAW)granting you a license to tell sales prospects and investors that you’re doing AI.
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An In-Depth Comparison of AI Titans Shaping the Future of Artificial Intelligence. DeepSeek and ChatGPT are powerful models revolutionizing several industries with Artificial Intelligence (AI). ChatGPT is the unique USP that has surpassed their conversational AI and DeepSeek in terms of deep learning, advanced analytics, and other deep learning models.
From punch cards to containerization, database technologies have changed tremendously over the years. And there has been no shortage of watershed moments along the way. However, we believe the emergence of advanced AI may very well be the most significant one yet. Percona certainly isnt alone in that belief.
"Xiao Zhang, why hasn't this SQL query finished after 5 minutes?" "I checked this data yesterday; why does it take so long today?" "The morning meeting is about to start, and the report is still loading." Do these complaints sound familiar? As a DBA or data engineer, you've likely experienced the awkward moments of being "swarmed" by users. Faced with repetitive query demands, the system acts like a "forgetful patient," recalculating every time, which is truly frustrating.
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