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Azure Cost Optimization: 10 Ways to Save on Azure

Cloud has become an integral part of modern businesses as extra resources keep moving towards it. Budgeting cloud expenses has come into focus with its massive expenditure in IT. Azure usage optimization entails several modes through which an organization can save on costs. Let's look into ten ways to save on Azure.

Introducing the Datadog quick nav menu

Datadog’s features give you full visibility into every part of your application environment, so it’s likely you have many resources to switch between as part of your troubleshooting and development workflows. For example, you might switch from the host map to investigate a performance issue with your services in APM, or jump between dashboards to correlate metrics and troubleshoot a problem with your CI/CD pipeline.

Taloflow raises new funding and joins Y Combinator W21 Batch

We're excited to share some updates on what we've been working on at Taloflow. We've come a long way since we launched Tim - AWS cost management for developers, which was a finalist for Product Hunt Dev Tool of the Year. Since launch, we've had the opportunity to work with nearly 100 companies and developers. We've helped digital native companies like NS1, Bluecore and Modusbox save money, improve performance, and get a better grasp of their marginal costs on the cloud.

Dispelling 7 SLA Myths That Keep Your DevOps Awake at Night

DevOps fits this odd niche between development and oversight. Like any “Wild West” type of position, pretty much anything goes. Your job is to think of everything including the stuff you haven’t thought of yet. You make the rules, and as long as the lights are on you’re considered a success. But alongside that freedom come the rumors and SLA myths that inspire such dread that you write them off as jokes.

SQL Server deployments: Which Redgate tools should you use?

Since 1999, we’ve been developing tools at Redgate to support database deployments for SQL Server. In the past couple of years, we’ve increased our effort in this space by further developing our proprietary technologies based on SQL Compare, and acquiring others like Flyway, the most popular database migration engine. As a result, we now offer tools which provide more options for SQL Server and also support deployments for 20 different database systems.

Logging with the HAProxy Kubernetes Ingress Controller

The HAProxy Kubernetes Ingress Controller publishes two sets of logs: the ingress controller logs and the HAProxy access logs. After you install the HAProxy Kubernetes Ingress Controller, logging jumps to mind as one of the first features to configure. Logs will tell you whether the controller has started up correctly and which version of the controller you’re running, and they will assist in pinpointing any user experience issues.

Gartner's 2021 Strategic Roadmap for ITOps Monitoring highlights

Does your work involve a lot of ITOps Monitoring? If so, chances are you have developed a roadmap for 2021 that addresses digital business disruption, application and infrastructure changes, and the ongoing global pandemic… And here’s an opportunity to incorporate expert advice into your plan.

How Do You Measure Technical Debt? (and What To Do About It)

Technical debt is an important — but often unclear — concept for engineering teams. In software development, technical debt, also called code debt or tech debt, is defined as the cost of refactoring a piece of code or system to keep it working efficiently. It can be caused by outdated architecture, a change in requirements, or the result of choosing an easier solution instead of a better, but more difficult one.

AI Chihuahua! Part I: Why Machine Learning is Dogged by Failure and Delays

AI is everywhere. Except in many enterprises. Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail, and for the few models that are ever deployed, it takes many months to do so. While AI has the potential to transform and boost businesses, the reality for many companies is that machine learning only ever drips red ink on the balance sheet.