Today, Gathr is excited to announce the launch of our new Confluent Cloud Connector, offering customers the ability to stream their data to and from Confluent Cloud in real time using Gathr. With today’s announcement, customers have a new way to manage their streaming data and derive value from it, 50X faster.
The Databricks Data + AI Summit is a premier event for data and AI professionals, featuring key industry leaders, innovative technologies, and emerging trends in the field. The annual event brings together thousands of data professionals and experts from around the world to share knowledge, insights, and experiences.
This year, the summit will be held from June 26-29, 2023, in San Francisco, California, USA. The event will be held both physically and virtually and is expected to draw thousands of attendees. Whether you’re a data engineer, data scientist, data analyst, or key decision maker, the summit offers tailored content to suit your role. This means you can expect to gain insights and practical tips on topics that are relevant to your daily work.
Here are some reasons why this event is a must-attend for anyone working in data, AI, and related fields:
The work environment in most organizations looks nothing like what it used to be a decade ago. Moreover, the recent pandemic has been a tipping point for those behind the curve, as they were forced to quickly adopt cloud and remote working models. All this has put tremendous pressure on the IT departments and security professionals. Amidst this rapidly evolving environment, DevSecOps has become a mainstay for organizations seeking higher reliability, agility, and security in their software development practices.
DevSecOps aims to unify different teams, tools, and processes responsible for managing an organization’s IT systems, applications, and security. In practice, it essentially involves a shift left of everything to make it easier, faster, and efficient for organizations to detect and mitigate security and compliance gaps. With DevOps, engineering, security, and compliance teams working together, it is possible to automate and integrate development and compliance tests early in the cycle. In this article, we will explore some of the emerging trends in DevSecOps space.
Taking into account the pace at which innovation happens and technologies evolve in today’s world, software development is no less than an F1 race. Precision is critical, but speed can’t be forfeited either.
A lot more goes into the F1 racing strategy than meets the eye. There is no denying the skill of the drivers who battle it out on the tracks, but it takes an entire team to plan and execute a winning strategy. From designing the vehicle and its aerodynamics to deciding how much fuel to start with, or in which lap to refuel or change tires, and everything in between is critical to ensuring success. Similarly, success of the DevOps approach to software development and delivery rests on the premise of collaboration between stakeholders to accelerate the release of new software, while ensuring quality and optimizing costs. Delays can translate into lost business opportunities and jeopardize your competitive advantage. The key is to focus on continuous integration, continuous testing, and continuous delivery to ensure quality, reliability and speed.
The cloud’s business benefits such as faster time-to-market, better service quality as compared to traditional IT setups, and a lower Total Cost of Ownership (TCO) are well established, which has led to its pervasiveness. Most organizations have migrated to cloud services providers like Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Alibaba Cloud seeking flexible payments, scalability, elasticity, resilience, and more. Cloud’s adoption is also driven by the fact that it provides a flexible and agile platform for innovation and growth. However, even as organizations adopt cloud for building cloud-native applications, they are at the risk of losing sight of cloud ROI.
Optimizing and managing cloud-based resources has become highly complex over the years. The race to the bottom among cloud service providers is long over; it means that it’s up to their customers to find ways to better optimize their cloud costs and increase operational efficiencies. However, they often struggle to reduce the cloud sprawl and manage cloud-native applications. That is why hybrid and multi-cloud setups are now seen as a solution to such challenges. According to RightScale, every major organization is using around five clouds and 81% of the enterprises have a multi-cloud strategy.
While DevOps has provided a middle path to the warring development and operations tribes in most organizations, it requires a high level of expertise to champion CI/CD processes and achieve continuous improvements. Organizations often struggle to harness the true value of their CI/CD implementation. Though CI/CD pipeline monitoring can help in assessing the health and performance of pipelines, selecting the right tool for monitoring isn’t simple. They also face the quintessential build vs. buy dilemma in the selection of CI/CD monitoring tools. Like always, it’s not just about time and material; they also need to consider the total cost of ownership (TCO), along with the opportunity costs due to engagement of their resources in configuration and maintenance, instead of real work.
Let’s explore what it takes to monitor a CI/CD pipeline with and without a commercial monitoring solution.