MSPs using CloudHealth are in for an abrupt start to 2024. VMware, which acquired CloudHealth, is ending its partner programs. Instead, they’re rolling out the exclusive Partner Program, starting from February 5, 2024. The switch will impact solution providers, resellers, and cloud services partners. With this new selective partner program, MSPs face fresh challenges in meeting the latest standards.
Step Function added support for testing individual states . Which lets you execute individual states with the following: And returns the following: With the TestState API, you can thoroughly test every state and achieve close to 100% coverage of a state machine. So, does this eliminate the need for Step Functions Local ? Can we do away with end-to-end tests as well? If not, where should this new API fit into your workflow, and how should you use it?
Time and time again we hear the same statements from FinOps teams with respect to what is holding back optimization of wasteful cloud resource consumption. Engineers and App Owners are interested in helping but stop short at actually taking actions to reduce that waste. There are many reasons for this main sticking point when it comes to application owners and developers taking action.
When troubleshooting distributed applications, you can use Cloud Trace and Cloud Logging together to perform root cause analysis.
A career in platform engineering means becoming part of a product team focused on delivering software, tools, and services.
In the fast-moving tech world, your business faces two main challenges: maintaining control of in-house servers and harnessing the flexibility of cloud computing. It is where “Hybrid cloud monitoring” emerges as a torch bearer, guiding your organization through the complexities of a dual environment. A hybrid cloud monitoring solution functions like the control centre for your business’s digital operations.
As John Lennon once said, another year over…and a new one just begun. As we head into 2024, it’s important to reflect on what we’ve seen and where we need to focus in the year ahead.
InfluxDB, the leading time series database, and AWS, the leading web services vendor, have a long-standing partnership. InfluxDB has been available as a SaaS product on AWS for many years. And as InfluxDB has grown and matured, most notably with the release of InfluxDB 3.0 this year, so has our partnership with AWS. That’s why we’re excited to announce that InfluxData achieved AWS Data and Analytics Competency status in the Data Analytics Platforms and NoSQL/New SQL categories.
Azure Automation is a powerful IT Automation service in use by thousands of organisations. Many organisations are using Azure Automation just as a PowerShell runbook execution service and are unaware of its wider capabilities.
Without the right tools, managing cloud costs and knowing where your cloud spend goes is nearly impossible. Cloud-native, distributed technologies like microservices, containers, and Kubernetes can make it even more difficult to have full visibility into resource usage — and the associated costs. This cost information is also often buried in rows and columns of text on cloud providers’ bills. In addition, a lot of cloud cost management tools are clunky and inexact.
As on-premises infrastructure and workloads increasingly migrate to the cloud, you’ve undoubtedly encountered many challenges in managing complex cloud architectures. These hurdles include juggling cost-efficiency and security to maintain a seamless, high-performance infrastructure. Navigating your cloud infrastructure landscape requires thoroughly understanding its virtualized elements—servers, software, network devices, and storage.
This is the third and final blog post in a series about shifting Observability left. If you have not yet read the first two, you can find the first post here and the second post here. Observability is fundamental to modern software development, enabling developers to gain deep insights into their application’s behavior and performance.
Computer vision: digital understanding of the physical world From face recognition to fire prevention, autonomous cars to medical diagnosis, the promise of video analytics has enticed technology innovators for years. Video analytics, the processing and analysing of visual data through machine learning and artificial intelligence, is perceived as a significant opportunity for edge computing.
Amazon EC2 was one of the first services available on AWS, helping propel the cloud platform into the mainstream of IT. And while EC2 instances come in a wide range of sizes and flavors to address all sorts of use cases, keeping tabs on those instances isn’t always easy. That’s why we’re excited to introduce our new EC2 monitoring solution in Grafana Cloud.
The Continuous Integration/Continuous Deployment (CI/CD) pipeline has evolved as a cornerstone in the fast-evolving world of software development, particularly in the field of cloud computing. This blog aims to demystify how CI/CD, a set of practices that streamline software development, enhances the agility and efficiency of cloud computing.
2023 was the year of Artificial Intelligence (AI). 2024 will build on the incredible momentum of the likes of ChatGPT, Google Bard, Microsoft CoPilot, and others, delivering applications and services that apply AI to every industry imaginable. A recent analysis piece from Schroders makes the point well: “The mass adoption of generative Artificial Intelligence (AI) …has sparked interest akin to the Californian Gold Rush.”
Deploying an infrastructure in the cloud has become THE standard across the industry. According to O’Reilley Research, more than 90% of organizations are on the cloud or are using it in some capacity. As reported by Precedence Research, cloud deployment will surpass $1 trillion by the year 2028. But with the adoption of a new platform comes the need for tools and best practices to keep it up and running efficiently, which includes cloud-based monitoring.
As businesses expand and adapt to the digital era, the need for scalable cloud services becomes paramount. Scalability—the ability of a system to handle growing workloads—ensures that enterprises can thrive without hardware constraints. Industry leaders such as Azure and AWS have been at the forefront of this evolution, continuously enhancing their platforms to provide seamless scalability.
Datadog Workflow Automation speeds up incident response and remediation for DevOps, SRE, and security teams by enabling them to automatically run predefined task sequences whenever specific alerts or security signals are triggered. After the feature’s initial release in 2023, Datadog is now excited to announce a significant expansion of its Workflow Automation capabilities with Azure actions, allowing engineers to create automated workflows for their Azure resources for the first time.
This blog post discusses utilizing Cribl Search to pull and visualize data from the AWS API without ingesting data. This will allow you to collect, analyze, and visualize data from your AWS account in real time without ingesting the data first.
Cloudwatch is a standard component for any AWS user, with tight integrations into every AWS service. While Cloudwatch initially seems like a cost-effective solution, its lack of functionality and flexibility can result in higher costs. Let’s explore Coralogix vs Cloudwatch.
