Operations | Monitoring | ITSM | DevOps | Cloud

As cloud use has increased, so have the costs associated with it. In 2020, surveyed organizations reported being over budget for their cloud spend by an average of 23%. Most are spending more than they expected, and to top it off — they don’t feel they’re getting value from that spend.

When the CTO of this growing company (freshly acquired by a billion-dollar company) contacted me, he was concerned by the ability of his team to deliver what they committed to for the current year. His main issue was 15 engineers working in the same development environment. Can you imagine developing on the same workstation? Things will get worst as they plan to quadruple their engineering team size in the next 18 months.

On Nov 13, 2019 Github made it’s CI/CD solution GitHub Actions generally available to the world. Since then tens of thousands of shared workflows have been published. It is now the default for most Github projects given how easy it is to integrate with an existing repo. Projects of all sizes have adopted it from our homegrown Terraform module to the Docker Cli. This is why at Speedscale we’ve published a template for how to use Speedscale in conjunction with GitHub Actions.

In today’s world, businesses depend on the internet and networks for nearly all their operations. Most large-scale corporations from banks to IT services have their critical operations built around a network. With network types ranging from wired and wireless to virtual environments, network management has only become increasingly complex, and network administrators need all the help they can get.

Sourcegraph is a universal code search tool that enables you to easily navigate and understand all of your code, regardless of the number of repositories you have and where they’re hosted. Its built-in code intelligence feature lets you jump to the definition and references of functions and variables, helping you learn new codebases faster.

One of the most notable advantages of the Cloud is the ability to scale resources to meet demand. We then scale out or up when the demand increases, and we scale in or down when the demand decreases. For the record, scaling out / in refers to increasing or decreasing the number of instances of a given resource, whereas scaling up / down refers to increasing or decreasing the capacity (CPU, Ram, Disk, I/O performance) or a given instance.

If you didn’t attend our recently concluded DevOps Cloud Days online conference, you missed a learning event that those who did called “fantastic” and “meaningful.” In written feedback, developers, operations staff, and security admins who attended described the presentations as “powerful,” “inspiring” and “excellent.” Fortunately, it wasn’t your last chance to share that fruitful experience with us.

It's something you know. Those who rely on or offer Software-as-a-Service (SaaS) solutions are under constant pressure to innovate. Often, this means quickly building new features and releasing them more frequently. Staying on budget and on time is also critical for staying competitive. Likewise, SaaS providers should also offer customers cost-effective solutions to their technology challenges. But that’s not all. You must also always release quality code that provides seamless user experiences.

As businesses accelerate digital transformations and cloud adoption to better serve customers and employees in the face of the global pandemic, operational complexity has also mounted. To untangle these complexities and enable executive visibility into IT ecosystem , business leaders are increasingly looking to observability solutions as a strategic investment.