You may be familiar with Microsoft Operations Management Suite (OMS) — a management system that works to simplify your IT processes. Troubleshooting, change tracking, and updates are just a few common IT tasks that OMS could handle. OMS components brought together backup services, site recovery, log analytics, and automation and are available for hybrid, multi-cloud, and on-premises environments.
Microsoft deprecated OMS as of January 2019, moving all functionality into the Azure portal. Learn more about why OMS and the new Azure portal are useful for your IT workflow and what has changed with the migration to Azure.
Cloud-native automation and orchestration tools make IT administration easier — at least once you know what you’re doing. While there is also some concern among the ranks of cloud technicians that automation could lead to job losses, by mastering the tools available you make yourself more valuable, while also finding and executing on efficiencies. Cloud automation is a win-win.
But where should you begin when it comes to automating your cloud environment? There are many moving parts in an enterprise cloud deployment, even within specific application clusters.
These are the three easiest targets for automation and orchestration.
Another year successful year has gone by on the Green House Data blog. We're thrilled to surpass 150,000 views in 2018! Thanks for reading our humble blog. In case you missed anything, here are the five top posts from 2018, covering VM performance monitoring, GDPR, and a subject no modern blog should be without…millennials. And more!
Don't forget to tune in after the New Years for more great data center, cloud, and managed IT services content!
Cloud computing has shaken up many IT roles. While daily tasks may not be dramatically different (depending on the IT team member in question), the general trend is an increased focus on hard cloud skills and soft business skills — in other words, discovering how to generate business value out of cloud systems, rather than simply making sure an application or piece of hardware is functioning properly.
We’ve discussed previously how cloud can be difficult for Accounting to classify. But even Human Resources has to adapt. Much has been made of the cloud skills gap as a challenge to hiring the right talent. A shortage of qualified applicants may be real, but if your HR team doesn’t change the actual job descriptions and roles for which they are hiring, they won’t find the skills they need, either.
Here’s how the cloud is changing IT team roles and responsibilities.
DevOps practices have moved past pure software development and into enterprise adoption, facilitating faster updates to applications and associated infrastructure.
The crux of DevOps is the unification of tools and processes between development and operations teams to decrease time to market/deployment and implement continuous improvements throughout the development, testing, implementation, and ongoing maintenance of applications and underlying infrastructure.
Despite widespread DevOps adoption — or at least the majority of surveyed enterprises reporting they have started the journey towards it — many organizations are still struggling. Enter DevOps as a Service. But is DevOps as a Service a legitimate offering? The definition is still evolving, and different MSPs may offer different takes on DevOps-a-a-S.
Will we ever get past talking about IaaS vs. PaaS vs. SaaS? Perhaps not. Gartner recently published a list of the Top 10 Trends Impacting IT Infrastructure and Operations for 2019. Sitting at Number 8? Software as a Service (SaaS) denial.
Basically, most organizations have been hyper focused on Infrastructure and Platforms as a Service — migrating to cloud VMs, hiring admins for Azure and AWS ecosystems, learning Kubernetes and Docker.
Meanwhile, shadow IT and the overall enterprise trend is to initially prefer SaaS. Of course, SaaS has made inroads with IT departments even at the enterprise level, especially Office 365. But without Infrastructure and Operations teams taking SaaS seriously, your overall IT environment could be opened up to security risks on top of integration problems, fragmentation, and service delivery concerns.
Are you in SaaS denial? Do you have blinders on as you focus entirely on IaaS adoption or other more pressing matters? Now is the time to get ahead of the SaaS adoption hurdles by being proactive within your IT and operations departments.
With all the talk about cloud security threats, it’s important to remember that no matter where your data and applications reside, you should consider your data insecure.
Fundamentally, security isn’t a hyper-complex enterprise; It’s not, as they say, rocket science. It often feels that way, because the discipline is so broad in scope; encompassing both disparate technologies and governance frameworks. But, the vast majority of risk can be mitigated through adhering to basic foundational security.
More to know: A review of breaches outlined within the Verizon 2017 Data Breach Investigations Report (DBIR) against the Center for Internet Security (CIS) top 20 critical security controls found that:
• Adopting the first 5 controls could mitigate 85% of attacks, and
• Adopting all 20 controls could mitigate 97% of attacks.
That basic foundational security can be expressed in one essential formula, which boils down what is under your control as an IT security professional and what is outside your purview. That equation is as follows.
A traditional enterprise advisory engagement is often a “one and done” deal — you have an IT problem to solve or a new technology to implement and the consulting agency comes in, gathers info, makes recommendations, helps with the execution and steps out of your way.
That’s great for large-scale improvements. But modern IT practices preach continuous improvement, agile methodology, and DevOps practices even beyond the software development world. With the advent of cloud, it’s all about continuous, constant iterations of your software and services.
Many SaaS platforms take care of this for you. That may not be the case with IaaS and remaining hardware, however. Focusing your existing staff on business goals and service delivery while augmenting it with an advisory and managed service provider partner can take even your backend infrastructure and upstack applications into the realm of continuous improvement via cloud management services, automation, and feedback loops.
Multi-cloud is the IT service model du jour, but it comes with a set of challenges that many IT departments aren’t yet ready to tackle. There are many reasons to go with more than one cloud provider, including the use of specific services or abilities, backing up storage across various vendors, maintaining availability or minimizing latency, and even using different cloud vendors as bargaining chips for pricing negotiation.
A managed services partner might be the best way for you to take advantage of multi-cloud IT infrastructure and services, especially if you face the all-too-common cloud skills gap that many organizations encounter.
Read on for statistics on multi-cloud adoption and cloud skills difficulties, as well as ways in which a partner can help you alleviate the top multi-cloud obstacles.
There are myriad technical considerations when deciding how to architect and deploy your cloud infrastructure, but your business structure, size, strategy, and industry are also significant factors.
You don’t need to take a deep dive into technical evaluations of each workload to choose between public cloud and a hybrid or private infrastructure. It’s possible that your business practices will make that decision for you before you ever get to individual app/system analysis.
Here are the business traits to consider as you weigh your cloud options.