Operations | Monitoring | ITSM | DevOps | Cloud

Modern day software development approaches such as DevOps, have certainly reduced development time. However, tighter release deadlines push security practices to a corner. This blog explains how Shifting Security to the Left introduces security in the early stages of DevOps Lifecycle, thus fixing software bugs proactively. We have come a long way in the DevOps lifecycle, from releasing the code every month(or sometimes more than that) to every day(or every hour).

GitOps has become a buzzword. Developers love it, because it folds DevOps into Git, a frequently used and familiar tool. Using one tool to manage multiple DevOps activities sounds fantastic, and it can be helpful for many. The truth is GitOps has limits. In this article, we explore DevOps and GitOps, compare their similarities and differences, and examine how their principles can work together to support your software development goals.

This blog is the continuation of the blog “Get the best out of Azure Data Factory – Part 1“. It explains how Serverless360 addresses the pain points and enhances the usage of Azure Data Factory. Serverless360 is a single platform solution that enables Operations and Support Teams to manage and monitor Azure Serverless services more efficiently. Let us have a quick recap of part 1 before looking into new features that Serverless360 provides for Azure Data Factory.

Accelerating software distribution is a critical part to enabling enterprise delivery at scale. Throughout the SDLC processes, we’re required to continuously distribute software packages — either to remote development teams as part of CI cycles, to production environments or devices for deployments, or for public downloads by your developers or partners ecosystem. The key attributes of Distribution workflows create network challenges around bandwidth, resiliency and availability.

Fairwinds Insights is Kubernetes governance and security software that enables DevOps teams to monitor and prevent configuration problems in their infrastructure and applications. Not only does Fairwinds simplify Kubernetes complexity, but it also reduces risk by surfacing security and reliability issues in your Kubernetes clusters.

Let's rip off the bandaid and get the bad news out there first: we're rolling out telemetry for Puppet content. Read on to find out why I think that's actually good news for you, how you can see exactly what data it collects, and how to make sure it never runs if your corporate policy doesn't allow it. And maybe a free beanie if you choose to opt in?

This post originally appeared on The New Stack and is re-published here with permission. In our technology-driven business climate, most companies have at least some, if not all, workloads on the cloud. And unlike on-premises networks, these cloud environments lack secure outer perimeters and specific off times. Cloud networks are always on and always available. While convenient, this also means hackers can access them at any time.

Cloud platforms are not new — they have been around for a few years. And containers have been around even longer. Together, they have changed the way we think about software. Since the creation of these technologies, we have focused on platforms and apps. And who could blame anyone? Containers and Kubernetes let us do things that were unheard of only a few years ago.

We've found a pattern to mock external client libraries while keeping code simple, reducing the number of injection spots and ensuring all the code down a callstack uses the same mock client. Establishing patterns like these is what makes test suites great, and improves developer productivity when writing tests. Here's how it works.