The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Introduction As all companies become software driven, DevOps is becoming an important practice in enterprises and startups across the world. DevOps is about bringing velocity to delivering tech products and services, so you can delight customers and meet business goals. To achieve this velocity, development (dev) and operations (ops) teams work closely together across the software lifecycle - from planning to release. And this has led to a new role in engineering teams - DevOps Engineer.
In today’s lightning fast digital age, I&O leaders across the globe are finding themselves under increasing pressure to find new and innovative ways for improving efficiency, optimizing costs and delivering fast, quantifiable and sustainable value. In order to achieve these goals, these leaders must not only be willing to adopt cutting-edge technologies, but be strategic about what tools in particular they choose to pursue and how they should prioritize them in terms of potential ROI.
On December 9, 2021, a critical vulnerability in the popular Log4j Java logging library was disclosed and nicknamed Log4Shell. The vulnerability is tracked as CVE-2021-44228 and is a remote code execution vulnerability that can give an attacker full control of any impacted system. In this blog post, we will: We will also look at how to leverage Datadog to protect your infrastructure and applications.
Automating the deployment of a new web application and the release of feature updates goes a long way towards improving the productivity and efficiency of your development team. Another benefit of automation is that it minimizes or even eliminates repeated manual deployments. Manual deployments introduce the risk of human error during this critical part of the development process.
Building a complex new product can be scary. What if no-one gets value from it? What if it doesn't work? What if it's hard to change? One way to mitigate these risks is to break down the product into smaller shippable increments, allowing you to capture feedback early and confirming the most important assumptions before fully committing to a solution.
Accenture’s vision for value-led, business-aligned operations applies Machine Learning, Automation and Observability to help cloud-hosted and on-premise systems diagnose and heal themselves. The company’s ubiquitous myWizard® platform, used by 100,000+ practitioners at more than 3000 companies, applies StackState’s advanced 4T Observability data model to improve service to Accenture’s customers.
