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In today's fast-paced software development landscape, microservices have emerged as a popular architectural pattern. But what exactly are microservices? In a nutshell, microservices are a way of structuring an application as a collection of loosely coupled, fine-grained services that communicate through lightweight protocols. This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process.
With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity.
As a database administrator, have you ever been in a situation when your database confronted a brute force attack? A brute force attack can be launched against a user account in MySQL. MySQL replies with success or error based on supplied credentials, and the time required for the verification is almost the same in either case. Hence, an attacker can launch a brute force attack against a MySQL user account at a rapid rate and can try many different passwords.
A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud.
Most organizations prefer to deploy containerized applications into K8s because of its scalability and flexibility. But as the number of microservices increased and application pods are distributed across multiple clusters and cloud providers, managing and scaling them has become complex. While scaling, it is harder to configure complex communication logic between microservices.
For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. If the network is sluggish, an application may also be slow, frustrating users. Worse, a malicious attacker may gain access to the network, compromising sensitive application data. Still, despite having adopted myriad network monitoring tools, organizations still struggle to identify whether the network is at fault for application and infrastructure problems.
Enjoy it while it lasts, as everything has its end. Maricon454688973982390893280398289038302380283’2233’832’23 , CC BY-SA 4.0 , via Wikimedia Commons It sounded a bit more cryptic than it was planned, but I hope that it gets the attention it needs, as it’s important to know that MongoDB 4.2 in April has reached its End of Life (EOL), and more versions are soon going to be decommissioned as well.
If you are a user of Percona Monitoring and Management and noticed any typo or inaccurate information in its documentation, you can easily correct it yourself in the repository following detailed instructions in README.md. But if you are not experienced in open source contributions, you may still feel uneasy about following those steps. This post is for you!
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If you are a user of Percona Monitoring and Management and noticed any typo or inaccurate information in its documentation, you can easily correct it yourself in the repository following detailed instructions in README.md. But if you are not experienced in open source contributions, you may still feel uneasy about following those steps. This post is for you!
Scalability and low latency are crucial for any application that relies on real-time data. One way to achieve this is by storing data closer to the users. In this post, we'll discuss how you can use YugabyteDB and its read replica nodes to improve the read latency for users across the globe.
In recognition of National Volunteer Week, which ran from April 16th – 22nd, 2023, Dynaspace for Women (DFW), the women-focused employee resource group at Dynatrace, hosted its inaugural group volunteer event with nonprofit A Girl Like Me Inc. DFW partnered with the founder of A Girl Like Me Inc., Tyra Moore, to build care kits for new moms in the Detroit area.
At the end of 2021, I pushed the first Docker image to hub.docker.com. This was the first official image and since then, we have been improving our testing and packaging procedures based on Docker, CircleCI, and GitHub Actions. However, when I’m coding, I’m not testing in Docker. But a couple of weeks ago, when I was reviewing an issue, I realized some interesting Docker use cases that I want to share.
In this blog, I would like to share a few best practices for creating High Available (HA) Applications in Mule 4 from an infrastructure perspective ONLY ( CloudHub in this article refers to CloudHub 1.0 ONLY ). Most of the configuration details (only relevant to HA) shared here are taken from MuleSoft Documentation/Articles/Blogs.
As applications transform to be more distributed across multiple cloud environments, it becomes more important—and more difficult—to make them observable. OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to help software developers and operations teams understand what their software is doing and where it’s running into snags.
Choosing the right on-demand app development firm is a critical decision that can significantly impact the success of your business. With the increasing demand for on-demand services, it has become crucial to have a reliable and efficient app that meets the needs of your customers. However, many businesses make blunders during the selection process, which can lead to costly mistakes and unsatisfactory results.
Tycho Andersen The Compute team at Netflix is charged with managing all AWS and containerized workloads at Netflix, including autoscaling, deployment of containers, issue remediation, etc. As part of this team, I work on fixing strange things that users report. This particular issue involved a custom internal FUSE filesystem : ndrive. It had been festering for some time, but needed someone to sit down and look at it in anger.
Motivation CockroachDB makes multi-region simple. When CockroachDB spans geographically, we often need to add a minimum of two more regions for a multi-region cluster. This unique capability has many strengths but it comes at a cost. Oftentimes, our customers demand CockroachDB be available in regions where we see low demand, and bringing those regions online is not cost-effective to the organization.
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. The Dynatrace Site Reliability Guardian is designed for this practice; it allows development teams to define quality objectives in their code, which is validated throughout the delivery process before the code reaches production.
Historically MySQL is great in horizontal READ scale. The scaling, in that case, is offered by the different number of Replica nodes, no matter if using standard asynchronous replication or synchronous replication. However, those solutions do not offer the same level of scaling for writes operation. Why? Because the solutions still rely on writing in one single node that works as Primary.
By Chris Wolfe , Joey Schorr , and Victor Roldán Betancort Introduction The authorization team at Netflix recently sponsored work to add Attribute Based Access Control (ABAC) support to AuthZed’s open source Google Zanzibar inspired authorization system, SpiceDB. Netflix required attribute support in SpiceDB to support core Netflix application identity constructs.
The 21st century has given rise to a wealth of advancements in computer technology. Among these are virtual tools and programs that have applications in almost every industry imaginable. One area that virtualization technology is making a huge impact is the security sector. How Is Virtualization Technology Used? Virtualization is a technology that can create servers, storage devices, and networks all in virtual space.
We have released Dynatrace Managed version 1.266. To learn what’s new, have a look at the release notes. The post Dynatrace Managed release notes version 1.266 appeared first on Dynatrace news.
Anyone who’s concerned with developing, delivering, and operating software knows the importance of making software and the systems it runs on observable. That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. When software runs in a monolithic stack on on-site servers, observability is manageable enough.
Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data.
Software industry IT leaders face constant pressure to deliver innovation faster to stay ahead of their competition. End users can easily change providers if they fail to receive the immersive and innovative experiences they expect. In a highly connected world, bad news travels fast. Therefore, any mishaps can affect the brand and its growth. According to the latest Dynatrace research , which polled 150 IT leaders in software organizations, 81% of respondents say digital transformation has ac
Network virtualization has been one of the most significant advancements in the field of networking in recent years. It is a technique that allows the creation of multiple virtual networks, each with its own set of policies, services, and security mechanisms, on top of a single physical network infrastructure. Network virtualization helps to optimize network resources, reduce operational costs, and increase flexibility and agility in network deployment and management.
Logs often take up the majority of a company's data assets. Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs are the guardian angel of business. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting.
In the beginning, IT teams utilized Application Performance Monitoring (APM) and Network Performance Monitoring (NPM) as tools to oversee and diagnose problems at the application and infrastructure levels. However, with the advent of contemporary development practices, the introduction of numerous distributed components made it difficult for APM and NPM solutions to offer complete visibility across the entire system.
As I write this my interview on DevCentral hasn't started yet so if you subscribe to my blog or follow me on YouTube or LinkedIn , you might be able to catch it live. If not the recording should appear right here: Either way, this isn't the first time I wrote about or talked about logging and the common pitfalls we see when logging in production or debugging.
Today, everything is available online, and people tend to turn to the internet for even the smallest things. We see new products and websites popping up every day, catering to specific needs, from groceries to online studying. This leads to an increasing number of users coming online to use these services, leading to a surge in traffic on websites and web applications.
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