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OpenTelemetry is enhancing GenAI observability : By defining semantic conventions for GenAI and implementing Python-based instrumentation for OpenAI, OpenTel is moving towards addressing GenAI monitoring and performance tuning needs. In 2025, we expect to see the first releases, so youll be able to test out this innovative technology.
To completely fine-tune the java performance bottlenecks for high performance my answer is YES. Java memory management is a significant challenge for every performance engineer and Java developer, and a skill that needs to be acquired to have Java applications properly tuned.
Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
In my last post , I started to outline the process I go through when tuning queries – specifically when I discover that I need to add a new index, or modify an existing one. Once we have that data, we can move on to the next steps in the process. Once we have that data, we can move on to the next steps in the process.
Application performance Review (also known as Application Performance Walkthrough or Application Performance Assessment) is the process of review of an existing application (in production) to evaluate its performance and scalability attributes. You may also like: Seven Testing Sins and How To Avoid Them. Performance and Scalability.
by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.
If country_iso_code doesnt already exist in the fact table, the metric owner only needs to tell DJ that account_id is the foreign key to an `users_dimension_table` (we call this process dimension linking ). DJ stands out as an open source solution that is actively developed and stress-tested at Netflix.
Use Cases and Requirements At Netflix, our counting use cases include tracking millions of user interactions, monitoring how often specific features or experiences are shown to users, and counting multiple facets of data during A/B test experiments , among others. This process can also be used to track the provenance of increments.
Today, development teams suffer from a lack of automation for time-consuming tasks, the absence of standardization due to an overabundance of tool options, and insufficiently mature DevSecOps processes. This process begins when the developer merges a code change and ends when it is running in a production environment.
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. tag.change” ` ` ` You should see log entries confirming the successful execution of your guardian process.
DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.
At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.
The regulation covers areas like Information and Communication Technology (ICT) risk management, third-party risk, digital operational resilience testing, and reporting of major ICT-related incidents to competent authorities. The Dynatrace data-centric approach ensures compliance isn’t a burden; it’s an opportunity to fine-tune operations.
Layers This flame graph shows a simple program for SYCL (a high-level C++ language for accelerators) that tests three implementations of matrix multiply, running them with the same input workload. I know of companies where flame graphs are a daily tool that developers use to understand and tune their code, reducing compute costs.
The shift-left approach aims to ensure bugs and other issues are discovered and addressed early in the development process, leading to improved software quality and lower costs associated with late-stage troubleshooting. Today, engineers are spending an increasing amount of time developing and testing code in production-like environments.
RASP capabilities aim to close the gap left by application security testing and network perimeter controls such as web application firewalls (WAFs). Static application security testing (SAST) analyzes code for common security coding errors. This reduces false positives in your DevSecOps process. The benefits of RASP.
The Pgpool-II parent process forks 32 child processes by default – these are available for connection. The architecture is similar to PostgreSQL server: one process = one connection. It also forks the ‘pcp process’ which is used for administrative tasks, and beyond the scope of this post. Stay tuned!
Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. A process that doesn’t just minimize risk, but also facilitates a continuous evaluation of the rollout’s impact.
In this episode, Dimitris discusses the many different tools and processes they use. One way the agency saves money and resources is by shutting down the test environment every night and on the weekends. Luckily, the AI models have come a long way in learning what happens every evening.
Web application security is the process of protecting web applications against various types of threats that are designed to exploit vulnerabilities in an application’s code. Application security tests can be used to tell developers when they have introduced vulnerabilities into the application they’re building.
Baking Windows with Packer By Justin Phelps and Manuel Correa Customizing Windows images at Netflix was a manual, error-prone, and time consuming process. We looked at our process for creating a Windows AMI and discovered it was error-prone and full of toil. Last year, we decided to improve the AMI baking process.
As more organizations respond to the pressure to release better software faster, there is an increasing need to build quality gates into every stage of BizDevOps processes , from early development to deployment. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.
To ensure high standards, it’s essential that your organization establish automated validations in an early phase of the software development process—ideally when code is written. Validation tasks are then extended left to cover performance testing and release validation in a pre-production environment.
We’re expecting RHEL and Dynatrace customers to start the migration process to RHEL 8 soon. We’re happy to say that we’ve already tested OneAgent version 1.167 with RHEL 8 and we’re now in the process of wrapping up the certification process for Dynatrace OneAgent with Red Hat.
You can also use it to test different OpenTelemetry features and evaluate how they appear on backends. Traces, metrics, and logs are already well covered, but interesting enhancements are being made frequently, so stay tuned. Moreover, you can use it as a framework for further customization.
To stay tuned, keep an eye on our release notes. Remediation tracking now enables you to view the risk assessment for the process groups affected by a vulnerability. Reintroduced a limit of 100,000 process group instances (last 72h) running on hosts presented on the “Deployment status” page for OneAgents. (APM-370529).
Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. For example, by measuring deployment frequency daily or weekly, you can determine how efficiently your team is responding to process changes. Lead time for changes helps teams understand how effective their processes are.
PostgreSQL DigitalOcean Performance Test. We measure PostgreSQL throughput in terms of transactions processed. Throughput in general is the rate at which something is processed, and in terms of PostgreSQL, this is the number of transactions per second (TPS) your application can handle. Compare Pricing. Throughput. Asynchronous.
In this blog post, we discuss an approach to optimize the MySQL index creation process in such a way that your regular workload is not impacted. The test utilized a MySQL dataset created using Sysbench which had 3 tables with 50 million rows each. MySQL Test Bed Configuration. MySQL Rolling Index Creation. MySQL Instance Type.
As microservices and automation continue to drive API usage, most organizations have either already introduced, or plan to introduce, an API testingprocess. With Dynatrace Synthetic you can easily create API tests with synthetic monitors. Now we’re making it easier for you to test APIs that are secured by OAuth 2.0!
User provides a sample image to find other similar images Prior engineering work Approach #1: on-demand batch processing Our first approach to surface these innovations was a tool to trigger these algorithms on-demand and on a per-show basis. Processing took several hours to complete. Some ML algorithms are computationally intensive.
This week my colleague Michael Winkler announced the general availability of Cloud Automation quality gates , a new capability that aims to provide answer-driven release validation as part of your delivery process. You run load tests monitored with Dynatrace and you want to automatically validate to eliminate the manual analysis effort.
Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. of PostgreSQL users are currently in the process of migrating to the RDBMS, according to the 2019 PostgreSQL Trends Report , an astounding percentage considering this is the 4th most popular database in the world.
In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It is difficult to fault their argument – as it’s absolutely true that: Each client having its own process prevents a poorly behaving client from crashing the entire database.
Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. For testing purposes, let’s increase this to 256MB and see if there is any impact on cost.
Weaving DevOps and the related disciplines of DevSecOps and AIOps tightly into the development process can also accelerate the process. These reduce the need to hire specialists while providing a unified view of processes and infrastructure that make SRE more focused and effective. Design, implement, and tune effective SLOs.
It has undergone security analysis and testing in accordance with AWS requirements. Stay tuned for more news about the availability of trace ingest in the coming months. It enables users to send telemetry data to AWS CloudWatch metrics, traces, and log backends, as well as to supported backends like Dynatrace. Seeing is believing.
It is better to consider refactoring as part of the application transformation process before migrating, if possible. Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Migration is time-consuming and involved. create a microservice; 2.
These include spending too much time on manual processes, finger-pointing due to siloed teams, and poor customer experience because of unplanned work. Automating lifecycle orchestration including monitoring, remediation, and testing across the entire software development lifecycle (SDLC). Annotation. Configuration. Information.
Although clock-based token generation can suffer from clock skew, our tests on EC2 Nitro instances show drift is minimal (under 1 millisecond). To address this, we use a static limit for the initial queries to the backing store, query with this limit, and process the results.
Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?
The initial release of the solution with OneAgent version 1.173 is certified and tested to work on RedHat Enterprise Linux (RHEL) distribution 6.9+ Network measurements with per-interface and per-process resolution. Network metrics are also collected for detected processes. Stay tuned for more announcements on this topic.
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