Kubernetes has become an ever-larger target for workloads across all industries. The public sector, in particular, experiences several hurdles in achieving effective utilization of this relatively new technology. Of particular concern for the public sector in the United States is the Federal Information Processing Standard (FIPS).
Without a doubt, cloud technology has saved numerous organizations from disruption. According to a report published by Allied Market Research, In 2019, the global cloud services market was valued at $325,689 million and is expected to reach $1,620,597 million by 2030, registering a CAGR of 15.8%. The pandemic has amplified the growth of the cloud service market.
Confluent Cloud is a fully managed, cloud-hosted streaming data service. Enterprise customers use Confluent Cloud for real-time event streaming within cloud-scale applications. We’re excited to announce a new integration between Datadog and Confluent Cloud, which enables users to get deep visibility into their Confluent Cloud environment with just a few clicks. In this post, we’ll introduce how to set up the integration and start monitoring key metrics from your clusters.
Nowadays, staff in organizations are required to access multiple applications in their infrastructure. This can lead to the user having to manage multiple login credentials and passwords. There are many solutions available that provide a single sign-on (SSO) capability — such as Okta, LDAP, and Active Directory — which is becoming common practice across businesses.
AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Traditionally, the tech industry responds to complexity by applying extra brainpower to the problem, bringing in more engineers, developers, and management.
Fast build times are great, which is why we aim for less than 5m between merging a PR and getting it into production. Not only is waiting on builds a waste of developer time — and an annoying concentration breaker — the speed at which you can deploy new changes has an impact on your shipping velocity. Put simply, you can ship faster and with more confidence when deploying a follow-up fix is a simple, quick change.