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Welcome back to our power dashboarding blog series , data enthusiasts! Today, our Dynatrace Dashboard tutorial will dive into some exciting features to level up our dashboards with little effort: Create charts effortlessly with Davis CoPilot using a natural language interface. Analyze your charts with AI to gain instant insights into trends and anomalies.
In the previous article , we spoke about hunting bugs. But a time will come when your hunters trophy collection grows to a scary size. More and more targets will be coming as if it were a zombie apocalypse. There will be red lamps flashing across your metrics dashboard. If (or rather when) that happens, it would mean its time for a bigger change than just routine debugging and streamlining your codebase.
Roger Quero , Liwei Guo , Jeff Watts , Joseph McCormick , Agata Opalach , AnushMoorthy We are excited to announce that we are now streaming HDR10+ content on our service for AV1-enabled devices, enhancing the viewing experience for certified HDR10+ devices, which previously only received HDR10 content. The dynamic metadata included in our HDR10+ content improves the quality and accuracy of the picture when viewed on thesedevices.
Modern applications rely on distributed databases to handle massive amounts of data and scale seamlessly across multiple nodes. While sharding helps distribute the load, it also introduces a major challenge cross-shard joins and data movement, which can significantly impact performance.
Were thrilled to announce that Sue Quackenbush, Chief People Officer at Dynatrace, has been named an honoree in Ragans Top Women in HR Awards : Culture Leader category! This prestigious award celebrates exceptional women who are transforming the human resources landscape through innovative strategies, compassionate leadership, and a commitment to creating better workplaces recognizing the value of HR leadership not just for the individuals honored, but their entire organization.
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.
Lets be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. We can answer any question about our docs! But then reality hits. The system is inconsistent, slow, hallucinatingand that amazing demo starts collecting digital dust. We call this POC Purgatorythat frustrating limbo where you’ve built something cool but can’t quite turn it into something real.
By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. (Refer to our recent overview for more details). However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly.
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By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. (Refer to our recent overview for more details). However, as we expanded our set of personalization algorithms to meet increasing business needs, maintenance of the recommender system became quite costly.
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.
Working with customers brings its own joys, often unexpected ones. At Dynatrace, were amazed by the creative and unexpected ways our customers use our platform. We recently announced Dynatrace Live Debugger , which gives developers unprecedented access to real-time data and runtime behavior insights. This powerful tool can be leveraged across various environments, including production, to enhance development processes and ensure robust application performance.
When performing backups, reducing the amount of time your server is locked can significantly improve performance and minimize disruptions. Percona XtraBackup 8.4 Pro introduces improvements in how DDL (Data Definition Language) locks (aka Backup Locks) are managed, allowing for reduced locking during backups. In this post, well explore the impact of these enhancements.
For more background on safety and security issues related to C++, including definitions of language safety and software security and similar terms, see my March 2024 essay C++ safety, in context. This essay picks up our story where that one left off to bring us up to date with a specific focus on undefined behavior (aka UB). This is a status update on improvements currently in progress for hardening and securing our C++ software.
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.
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.
In this brief blog post, we will talk about Barman cloud utilities, which greatly ease the process of storing backups on cloud platforms like GCP, AWS, Azure, etc.
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.
On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. We had a call a few days later to discuss the possibility. As I recall our conversation, I told Sam I was intrigued, but with reservations. I explained to him that we could only license our data if they had some mechanism for tracking usage and compensating authors.
The Day Our Serverless Dream Turned into a Nightmare It was 3 PM on a Tuesday. Our "serverless" order processing system built on AWS Lambda and API Gateway was humming along, handling 1,000 transactions/minute. Then, disaster struck. A sudden spike in traffic caused Lambda timeouts, API Gateway threw 5xx errors, and customers started tweeting, Why cant I check out?!
Kubernetes is becoming a popular choice for running containerized applications. While the core idea is to have a single container running the application in a Pod, there are many cases where one or more containers need to run alongside the application container, such as containers for capturing logs, metrics, etc.
CPU cores have become significantly wider over the past decade. Ten years ago, the highest-performance CPUs could decode only up to four instructions simultaneously and execute up to eight instructions. However, top-tier CPUs released in recent years have grown to nearly twice this width. For example, Apple’s M4 processor , released in 2024, can decode 10 instructions simultaneously and execute up to 19 instructions.
Amitai Stern discusses cost-saving autoscaling topologies for OpenSearch. He explains the inherent challenges in autoscaling unstructured data systems like OpenSearch and Elasticsearch, using analogies to illustrate the complexities beyond simply adding nodes. He shares architectural patterns (burst indexes, burst clusters) to optimize resource utilization and handle fluctuating loads effectively.
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.
Streamlining site reliability at scale can be daunting, particularly with large-scale AWS environments and architecture that rely on hundredsor even thousandsof Amazon EC2 instances. However, you can simplify the process by automating guardians in the Site Reliability Guardian (SRG) to trigger whenever there are AWS tag changes, helping teams improve compliance and effectively manage system performance.
PostgreSQL is, without a doubt, one of the most popular open source databases in the world. Why? Well, there are many reasons, but if I had to pick just one, I’d say its extensibility. PostgreSQL isnt just a database; its an ecosystem of extensions that can transform it to tackle any upcoming challenges.
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.
Thomas Wolfs blog post The Einstein AI Model is a must-read. He contrasts his thinking about what we need from AI with another must-read, Dario Amodeis Machines of Loving Grace. 1 Wolfs argument is that our most advanced language models arent creating anything new; theyre just combining old ideas, old phrases, old words according to probabilistic models.
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.
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 simple object storage to sophisticated table management, builders have always shaped S3's evolution. Andy Warfield discusses why making complex systems simple remains our north star at AWS.
As a CTO, my role extends beyond overseeing technical solutions I work closely with engineering teams to ensure performance testing strategies align with business goals. One of the recurring challenges Ive observed is how sanity testing, despite being a simple step, often determines the success or failure of performance testing efforts. Many teams focus on running large-scale performance tests, ensuring their applications can handle peak loads, but neglect the essential first step validating t
OpenTelemetry Astronomy Shop is a demo application created by the OpenTelemetry community to showcase the features and capabilities of the popular open-source OpenTelemetry observability standard. OpenTelemetry provides a common set of tools, APIs, and SDKs to help collect observability signals from applications and infrastructure endpoints. Many companies are interested in experimenting with OpenTelemetry but have struggled with the lack of a good reference implementation.
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.
Are you passionate about databases and want to stay on top of the latest advancements in MySQL and Percona Toolkit? You’re in luck! We are excited to invite you to our upcoming online stream, where we’ll delve into some exciting changes and updates. Date: March 27, 2025 Time: 13:30 GMT / 9:30 ET Streaming Live on: LinkedIn and YouTube About the Event Our featured speaker, Sveta Smirnova, Principal Support Engineering Coordinator at Percona, will share her insights on the recent updat
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.
Imagine a scenario: You are working at breakneck speed to roll out a new IT product or a business-critical update, but quality control workflows lack efficiency. They are mainly manual and performed late in the development cycle. This challenges your ability to cope with pressing deadlines, innovate, and remain competitive, as manual efforts are slow, workflows lack fast and continuous feedback loops, and critical and major issues arise just before the release.
Dynatrace integrates with Harbor to break the silos between DevSecOps teams by unifying security findings along the Software Development Lifecycle (SDLC) and enriching them with runtime context. Dynatrace allows you to ingest, visualize, prioritize, and automate security findings, helping to reduce noise from alerts and provide focused remediation on the issues that matter most to your critical production environments.
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