The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Interrupts are often seen as a problem that eats away at your team’s productivity, and gets in the way of shipping important things for your customers. It’s often consciously accrued from the tech debt we accept to ship features sooner. However when a team doesn’t have a good strategy for dealing with the consequences of those decisions, the pain is felt much more acutely and much sooner.
Cloud computing can bring many benefits to financial services companies such as increased speed and agility, easier innovation and scalability. It is no wonder then that cloud adoption is set to continue increasing with 54% of financial services companies expected to have more than half of their entire IT footprint in public clouds in the next five years. However, despite the benefits that this can bring for financial services, it also brings a new set of challenges for financial market stability.
Organizations across a wide range of industries share a common goal: deploy stable applications that support their customers’ needs. Many of these organizations rely on the Datadog platform to get complete visibility into the health and performance of their applications, and we understand how important it is that our services are reliable. That’s why we leverage our own products to ensure that the platform works as expected.
By combining traffic replay capabilities from Speedscale with observability from Datadog, SRE Teams can deploy with confidence. It makes sense to centralize your monitoring data into as few silos as possible. With this integration, Speedscale will push the results of various traffic replay conditions into Datadog so it can be combined with the other observability data. Being able to preview application performance by simulating production conditions allows better release decisions. Moreover, a baseline to compare production metrics can provide even earlier signals on degradation and scale problems. Speedscale joined the Datadog Marketplace so customers can shift-left the discovery of performance issues.
A cloud-first strategy is increasingly seen as the standard way to achieve efficient business operations. As the favoured approach of new start-ups and expanding businesses wanting to benefit from the flexibility and resilience of the cloud, it’s little wonder that foundational cloud services saw a revenue growth of 38.5% in 2021 according to IDC. It looks like a fantastic package from the outside.
Cloud is currently seen by some of the clients I speak with, as the answer to associated technical debt. Technical debt is like any other debt – growing year-on-year, month-by-month. Simply relocating a workload from your dated compute stack to someone else’s system or service is not a panacea to every business-led postponement.
As explained in the earlier “What’s ITOM?” blog, there are various definitions of IT Operations Management (ITOM). This variation has a knock-on for everything related to ITOM, including the relationship between ITOM and DevOps. This issue is further complicated when people and organizations have different views of what DevOps is and isn’t. Hence, we must start with a single definition for ITOM and DevOps.
In July, we released two new enterprise offerings, CivoStack and Edge! CivoStack is an enterprise-ready hyperconverged infrastructure (HCI) solution built for security, performance, and scale. To find out more visit our product page! Edge is our purpose-built Kubernetes hosted infrastructure, designed for on-location edge computing. Created with security, compliance and low latency in mind, find out more here.
