SDK vs. API: What's the Difference?

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Learn about software development kits (SDKs) and Application Programming Interfaces (APIs) and how they
improve both software development cycles and the end-user experience (UX). In modern software development, the
SDK and API are two principal tools you'll encounter. They share plenty in common, and sometimes there's
confusion around what they each do. At their core, both the SDK and the API enable you to enhance the
functionality of your application with relative ease. To deliver on the promise of either or both - and improve the
experience both in-house and for end-users - it's important to understand how both tools work on the backend, how
they differ and how they contribute to the overall development process.
What is an SDK? SDK stands for software development kit. Also known as a devkit, the SDK is a set of software-
building tools for a specific platform, including the building blocks, debuggers and, often, a framework or group of
code libraries such as a set of routines specific to an operating system (OS).
A typical SDK might include some or all of these resources in its set of tools:
Compiler: Translates from one programming language to the one in which you will work Code samples: Give a
concrete example of an application or web page Code libraries (framework): Provide a shortcut with code sequences
that programmers will use repeatedly Testing and analytics tools: Provide insight into how the application or product
performs in testing and production environments Documentation: Gives developers instructions they can refer to as
they go Debuggers: Help teams spot errors in their code so they can push out code that works as expected Often, at
least one API is also included in the SDK because without the API, applications can't relay information and work
together.
How an SDK works SDKs provide a comprehensive collection of tools that enable software developers to build
software applications faster and in a more standardized way.
Cloud-native mobile app development, for example, leverages Apple's iOS SDKs or Google's Android SDKs for that
platform. For larger-scale applications, such as enterprise Software-as-a-Service (SaaS) and proprietary web and
desktop software applications, Microsoft provides the commonly used, open-source.NET SDK.
The simplicity of an SDK is just as valuable as the tools in the kit. Here's how it works:
Purchase, download and install the "kit" for your platform (e.g., premade parts, examples and instructions). Open
and leverage any APIs and all the development tools you need to build a new application, beginning with the
integrated development environment (IDE). This is the space where you will do the actual coding and where your
compiler is. Use the instructions, documentation, code samples and testing tools to do the building, which gives you
and your team a healthy head-start. SDK use cases SDKs are part and parcel of mobile app development. They
have many use cases:
Programming language-specific SDKs like the JSON and Java Developer Kit (JDK) are used to develop programs in
those languages in a streamlined, standardized way. Analytics SDKs from Google and others provide data about
user behaviors, paths and actions. Monetization SDKs like Google, Facebook and others make it easy for
developers to roll advertising out in their existing apps, with the goals of generating revenue. SDK benefits SDKS
make developers' jobs easier by providing the following:
Access to constituent parts and instructions for software development: A retail SDK, for example, that pulls in all the
things you'd want in your app (e.g., favorites, cart, save for later, checkout, etc.). Faster and smoother integrations:

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SDKs simplify the standard processes needed and provide ready access to information needed. Shorter
development cycle, getting products deployed and into market more efficiently: Because an SDK is built to inform,
equip and provide shortcuts to development, developers can focus on developing the product they've planned. Built-
in support and expertise: No need to search for answers or hire out to augment your team; SDKs come pre-loaded
with expertise in the code already written and the support documentation included. Cost control: All of the above
enable you to better adhere to an established budget during development and post-deployment. Now let's dive into
how that intermediary - the API - works.
What is an API? API stands for application programming interface. Whether working as a standalone solution or
included within an SDK, an API facilitates communication between two platforms. It does this by allowing its
proprietary software to be leveraged by third-party developers. The developers can then enable their own users to
indirectly use the service or services provided by the API solution.
You can also think of an API as a kind of agreement between two parties. The API not only allows for on-demand
information exchange, it stipulates how that information should be exchanged.
Because some APIs provide the interface directly, the terms "API" and "interface" are sometimes used
interchangeably.
To break that down, an API can consist of two things:
Technical specifications and documentation: This information explains how you'll need to integrate the API to use it
effectively. The interface itself: You can access it directly via keyword (in the case of a web API) or indirectly from a
separate interface (in the case of a REST API). A few of the popular APIs include the following:
Web APIs, which are used to reach web browsers and devices or as their own web services application. SOAP
APIs, which are a popular choice in cases of heightened data privacy and security. Open APIs (or Public APIs) and
REST (or RESTful) APIs, which are a popular choice for ease of use and maximizing bandwidth. JSON-RPC, a go-
to for cases where asynchronous server calls are needed. Custom APIs, for maximum agility with all the moving
parts of software development. How an API works APIs make smooth, efficient integrations between applications
possible.
For example, let's say you have a real estate application. Your users want to be able to search for available real
estate inventory - a service your software already provides. Furthermore, your users want to search for inventory
within a certain area - a certain school district, perhaps. The most logical solution is to integrate with an established
service. Leveraging a geolocation API would enable your application's end users to use that service to focus on
particular inventory without any awareness that the geolocation application is separate.
From a technical standpoint, here's what an API call entails:
As the application user who needs to complete a task, you initiate the task from your app, creating a request. The
API makes a call to the web server, relaying the request. The API knows where to send the request because it goes
to the API endpoint, typically the URL of a server. The task is then executed by the third-party application, or
database, providing the service. API use cases APIs make many of the digital tools we routinely use possible. Here
are three of many API use cases:
Map APIs are commonly used to customize a map on a web page or mobile application. Payment APIs are often
used by e-commerce companies so they can offer purchasing flexibility to customers, expanding their potential
customer base as a result. Weather APIs can enhance the user experience of sports apps, search engines, etc. API
benefits APIs enhance both the development experience and the end-user experience doing the following:
Connecting disparate software applications for a stronger overall product offering. Shortening the development cycle
through automation. Reducing resources that would otherwise need to be allocated for in-house work. Improving
brand recognition and trust. Providing new services to end-users with maximum efficiency. Do you have to choose
between SDK and API? No - in fact, as noted above, an SDK often contains at least one API. These two help you in
different ways but can and do work together.
APIs, again, serve to define how different platforms work together. They facilitate interaction via specifications
(protocols); and as facilitators, they serve as one of the tools in a complete kit.

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SDKs are the complete kit. They go beyond facilitation (though they include it) to provide everything for building new
software for a specific platform or programming language.
For a further breakdown on the relationship between SDKs and APIs, check out the following video
INDEX
SECTION 1 SOFTLAYER TECHNOLOGIES PROFILE
SECTION 2 PRESS RELEASES: 2021
SECTION 3 OTHER NEWS: 2021
DATA DOWNLOAD CENTER
+ SoftLayer Technologies: LINKS IN HTML TO FURTHER INFORMATION:
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http://www.buysellsignals.net/BuySellSignals/report/Unlisted/Stock/Daily/Html/Unlisted_LN_Telecommunications_Se
rvices_weekly.html
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SECTION 1 SOFTLAYER TECHNOLOGIES PROFILE
1.1 ACTIVITIES
SoftLayer Technologies offers web hosting, cloud computing and on-demand data center services.
1.2 SUMMARY
PermID: 5000780017
Website: http://www.softlayer.com/
Industry: Telecommunications Services
Address:
Dallas, Texas, USA
SECTION 2 PRESS RELEASES: 2021
July 12: SoftLayer Technologies : How ChatOps Accelerates Collaboration Among ITOps Teams
Are you a Site Reliability Engineer (SRE) needing to resolve incidents as quickly and effectively as possible?
Do you want environmental information integrated with ChatOps to help with diagnosis beyond what you can see
spanned across tools? Are you a Line-of-Business professional looking for ways to collaborate with IT to minimize
the impact of incidents?
To resolve incidents, operations pros must collaborate and coordinate with development, networking, security, etc.
ChatOps makes this cross-organization and cross-domain effort manageable to resolve incidents as quickly as
possible. It's a necessity for sharing sources of data, work tracking and having in-context information. Forrester
highlights how ChatOps accelerates collaboration by retrieving incident context rapidly in "Accelerate Incident
Management by Combining AIOps And ChatOps 2020". IBM Cloud Pak for Watson AIOps and Microsoft Teams
In a Site Reliability Engineer's life today, there are too many dashboards to look at to drill down on an issue at hand.
Screen switching is fueled by the high number of domain-specific tools that the segmented IT Operations market has
created, fogging the visibility an engineer has on one's environment. AIOps connects the dots, and ChatOps is the
bridge between insight and resolution, increasing responder agility.
That's why in the IBM Cloud Pak(Registered) for Watson AIOps, real-time insights are delivered via ChatOps to
SREs directly where they work. In our original release, we partnered with one of the biggest messaging platforms in
the market, Slack, so teams could capitalize off seamless communication and collaboration to resolve incidents with
the utmost efficiency. To continue our AIOps strategy in helping humans work across siloed environments, we've
extended the reach of our Watson-AI-powered insights to Microsoft Teams.
SECTION 3 OTHER NEWS: 2021
July 13: Demystifying Operator Development

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In this post, we discuss the development and packaging of operators. With all the hoopla about operators in
Kubernetes, what are they? A quick Google search retrieved this definition:
"A Kubernetes operator is a method of packaging, deploying and managing a Kubernetes application. A Kubernetes
application is both deployed on Kubernetes and managed using the Kubernetes API (application programming
interface) and kubectl tooling."
So, an operator it is a mechanism to do something (install, build, manage an application, etc.) in Kubernetes. In my
previous post, "Demystifying Operator Deployment in OpenShift," I discussed the OperatorHub and the deployment
process of an operator. In this post, I will discuss operator development and packaging.
Development Let's start with how operators are constructed. For that, you will most likely start with Operator SDK, a
complete software development tool to build operators that are based on Go, Ansible or Helm. This article is focused
on the Go-based operator, as it is the one that provides most functions.
First, you initialize a template scaffolding for your operator. For this, you must provide a domain (the qualifier for your
operator, similar to your base DNS) and a GIT-like repository:
July 08: SoftLayer Technologies : Demystifying Operator Deployment in OpenShift
Operators in Red Hat OpenShift clusters are the de-facto standard for adding features and capabilities of a cluster.
Applications and middleware are packaged as operators and available on the OperatorHub. Although most
operators can be installed within a few clicks, some more complex operators require a deeper understanding of the
infrastructure. Similar to the water for a kitchen sink, most people just need to know that it is available; however,
knowing the plumbing underneath the surface is necessary for problem-solving and fixing errors when things do not
work as expected.
This article attempts to explain the underlying objects and processes that make up the operators and operator
framework. The content in this article is divided into extending the OperatorHub and the deployment of an Operator.
Extending the OperatorHub
The OperatorHub is populated from the content in OperatorSource and CatalogSources. Most of the newer sources
are now using the CatalogSource format. I will explain the difference between the CatalogSource and
OperatorSource and how they work in a future article: OperatorSource and CatalogSource.
OperatorSource and CatalogSource.
OperatorHub sources.
Source: Company Website
July 08: SoftLayer Technologies : Tutorial: Stream Landing from Event Streams Kafka Service to IBM Cloud Data
Lake on Object Storage
Event Streams is directly integrated with the SQL Query service - this tutorial shows you how to run a fully managed
stream data ingestion from Kafka into Parquet on Cloud Object Storage.
Machine-generated data, emerging in a real-time streaming fashion, is the kind of big data with prevalent growth
today. This includes telemetry data of the physical world - also called IoT data. But it also includes telemetry data of
your business, your customers and your IT (e.g., your clickstreams of user interaction or your events, metrics and
application logs). This type of data becomes increasingly mission-critical for competitive decision-making,
acceleration and automation. As an analytic point of attack to this data, you need a platform that supports real-time
data streaming and processing for analytics.
IBM Cloud provides you both: a real-time Kafka messaging service called IBM Event Streams and a cloud data lake
service called IBM SQL Query, which leverages IBM Cloud Object Storage for data lake persistency. Since June
2021, Event Streams is directly integrated with the SQL Query service, allowing you to run a fully managed stream
data ingestion from Kafka into Parquet on Cloud Object Storage.
This is a getting-started tutorial for using this function.
July 08: SoftLayer Technologies : Why Use Process Mining?
An exploration of process mining, how it works, the value it provides and some organizational use cases.
Organizations - from lean startups to Big Tech - can only approach maximum efficiency and make key business

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process improvements when they understand how their workflows truly work. Humans alone can't perform this data
extraction and analysis fast enough to make their organizations competitive.
With process mining, organizations can expose what's really happening in their processes instead of operating
under assumptions. They can then identify the root causes of bottlenecks in real-time, optimize their resources and
scale with full productivity and confidence. What is process mining?
Process mining is a tool for modern business process management (BPM). It lives at the intersection of data science
and management science. Process mining is comprised of a group of strategies with a common goal - to glean
process insights within information systems via units called event logs.
The technique an organization uses for process mining depends on the stage where its process models reside. Here
are the three main process mining techniques:
Process discovery: This is the most common technique and doubles as a building block.
July 08: SoftLayer Technologies : Rethinking the Core Banking App Modernization Journey with IBM Cloud for
Financial Services
A flexible core system built on the IBM Cloud for Financial Services platform can mean the difference between
success and failure for many financial institutions.
Successful banks and financial institutions (FI) today realize that they are essentially technology companies
operating under the rules of a banking license.
All FIs - regardless of size, scale and geographic location - need to be able to quickly launch new products, address
the increasingly demanding needs of customers and regulators and operate as efficiently and cost-effectively as
possible. Effective and innovative strategies, planning and execution are a must.
The core banking systems need to modernize and digitally transform by 2025 or risk dying an analog-business
death. The good news is that while the overall process takes years, the benefits of an incremental modernization
journey accrue every step of the way. A flexible core system built on the IBM Cloud for Financial Services platform
can mean the difference between success and failure for many financial institutions.
Source: Company Website
July 07: SoftLayer Technologies : Terraform Template for Activity Tracker, Monitoring and Log Analysis with Team
Controls
Exploring an updated Terraform template to handle the addition of Activity Tracker and Log Analysis.
Earlier this year, the IBM Cloud Observability team announced IAM-based access controls for IBM Cloud Activity
Tracker and IBM Cloud Log Analysis in the "Increased IAM Control of Log Analysis and Activity Tracker Services in
IBM Cloud" post. It follows a similar capability in IBM Cloud Monitoring for which I wrote an Infrastructure-as-Code
Terraform template discussed in the "Terraform Template for Monitoring with Sysdig Teams" post.
That post explored the scenario in which two separate development teams shared the same Monitoring instance and
the same IBM Cloud Kubernetes Service and demonstrated how a team can automate the process of deploying and
configuring such an environment.
Source: Company Website
June 17: SoftLayer Technologies : The Move Toward Simplicity: Why a Single-Vendor Approach to AI-Powered
Automation Matters
IBM completes Turbonomic acquisition, advancing efforts to create a one-stop shop for AI-powered Automation
capabilities.
Automation brings simplicity to work by removing complexity from tasks, processes and decisions. This can help
organizations save time and money, while helping their employees reclaim up to 50% of their time to focus on
strategic priorities. But as organizations look to automate their entire enterprise - from business operations to IT -
there is the possibility that they will complicate their automation efforts by adopting multiple solutions from multiple
vendors.
A multi-vendor approach can do the following:
Drive higher costs: Organizations with a multi-vendor approach often pay less for a specific product or service.

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However, in my experience, they have to invest in additional staff, trainings, systems and operational efforts to
implement the solutions - and keep them working. Turn employees' focus to maintenance projects vs. innovation:
Most vendors create products, solutions or apps that work best together. This means that implementing products
from multiple vendors can be complex and time-consuming. An organization will need to ensure that each product is
compatible with other parts of its technology infrastructure, as well as monitor and launch updates that may impact
performance.
June 17: SoftLayer Technologies : How AI-Powered Automation Can Help Reduce Landfill Waste
Hera SpA is on the front lines of today's battle to reduce waste and minimize environmental damage. A leading
multi-utility in Italy, Hera is also the country's largest waste-management and recycling company. It has a reputation
for innovation, and it is bringing a forward-looking spirit to environmental stewardship.
Hera is already a strong supporter of the circular economy, where reusable refuse is incorporated into production of
new materials that are themselves recyclable. Today, however, the company relies on manual identification and
sorting methods to recover material.
Hera recognized an opportunity for much greater efficiency.
It engaged IBM to help it develop an AI-based solution on a modernized application infrastructure that could
drastically improve cost efficiency and generate greater momentum in the circular economy.
"This could have a decisive impact on the costs of recovery and disposal activities, which is the focus of the circular
economy." - Andrea Bonetti, Manager of IT Architecture, Hera SpA
Read the full case study to learn how Hera worked with IBM to innovate the recycling process.
Source: Company Website
June 16: SoftLayer Technologies : IBM Cloud for Financial Services Reaches Milestone with 100+ Ecosystem
Partners
IBM developed the IBM Cloud for Financial Services to help institutions balance the need to modernize with the
industry's security and regulatory requirements.
Nearly one year after we introduced partners to the world's first financial services-ready cloud, we're pleased to
announce that the platform is now backed by more than 100 ecosystem partners that committed to help customers
accelerate cloud adoption and digital transformation throughout the financial services industry.
A growing portion of the $1 trillion hybrid cloud market opportunity is comprised of the financial markets industry,
which is expected to increase nearly 20% by 2024. [1] Key findings in a recent IBM internal analysis suggests that
cloud is expected to account for about 60% of that future market opportunity as financial institutions are accelerating
innovation to meet heightened customer expectations, deliver consistent services in the face of challenges like the
global pandemic and navigate the ever-complex regulatory environment. [2]
We believe that can only happen if security and compliance controls are fully integrated into the platform from the
onset. Otherwise, the likelihood of a large-scale data breach may increase dramatically as developers across the
supply chain potentially develop and run applications on a cloud platform - or multiple clouds - that haven't been
properly configured nor adequately vetted for identity and access management.
June 15: SoftLayer Technologies : SQL vs. NoSQL Databases: What's the Difference?
A look at SQL and NoSQL databases, their key differences and which option is best for your situation.
Application developers must consider multiple factors when selecting a database to purchase. There are scores of
commercial databases available, and each offers distinct value to the customer. They can be divided into two
primary categories: SQL (relational database) and NoSQL (non-relational database). In this article, we'll explore the
makeup of each and identify how they benefit developers. What is a SQL database?
A SQL database supports structured query language (SQL) - a domain-specific programming language for querying
and manipulating data in a relational database. The key to the relational model is abstracting data as a set of tuples
organized into "relations," which allows for abstraction over the physical representation of data and access paths.
The "relational" in "relational database" refers to the "relational model" of data management devised by IBM
researcher E.F. Codd in the early 1970s. Though SQL is not the only language used for implementing query over

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the relational model, it is the most popular (despite not strictly conforming to Codd's original design). Beginning with
"System R," the relational model was later popularized by subsequent database systems.
Relational databases have been the industry standard since the late 1970s, though many of their "navigational"
predecessors (e.g., Apollo 11-era IMS) are still under active development.
June 14: SoftLayer Technologies : Application Impact and IBM Cloud Pak for Watson AIOps
IBM Cloud Pak(Registered) for Watson AIOps manages your applications, regardless of how they are structured,
across multiple management domains, network and storage.
Modern applications and services are built for environments with multifaceted requirements. As the needs of
applications grow, complexity increases. This complexity can multiply as, for example, availability requirements are
paired with transactional throughput requirements. How can we effectively manage such a complex environment?
The new nexus
Today, applications and services have become the nexus for monitoring and performance, displacing our hardware-
centric models. This transformation offers distinct advantages when it comes to monitoring a business.
First, the applications can be aligned with business goals more clearly. For instance, a business application may
have a response time goal of less than 150ms or uptime of 99% - these goals flow naturally from understanding how
the software relates to the business.
Secondly, the relationships between applications, services and the hardware that powers them are more ephemeral.
Container and compute platforms like Kubernetes have traded improved scalability, utilization and resilience for less
certainty and granular control over deployments.
May 20: SoftLayer Technologies : BASE Media Cloud and IBM Aspera Enable Rapid Cloud Migration
When the UK went into lockdown due to the COVID-19 pandemic, Ian McGinty, Head of Production at Taylor Made
Media, approached innovative managed cloud services company BASE Media Cloud with the urgent need to deploy
a solution for the company's new remote working strategy.
As staff were forced to work remotely, Taylor Made Media needed to quickly shift from its on-premises storage and
manual media workflow. To maintain the efficiency of media exchange with clients and colleagues, it had to
immediately migrate all media assets to a cloud storage solution, almost overnight. Restricted access to data
centers during the first weekend of lockdown posed significant data migration challenges.
"When we needed to implement a remote post-production workflow at short notice, we reached out to BASE who got
us set up immediately," says McGinty. "As soon as everything was online, we were given a tutorial on how to
navigate and operate the system which gave us a clear insight into how we would use the service."
BASE Media Cloud provides integrated cloud storage and multicloud software-as-a-service (SaaS) solutions to high-
profile media brands like BBC, COPA90, Formula E, ITV and Objective Media Group.
May 19: SoftLayer Technologies : IBM Cloud Pak for Watson AIOPs Is a Competitive Win
How Watson AIOPs AI provides a competitive advantage for customers.
IBM Cloud Pak(Registered) for Watson AIOps v3.1 was recently released to acclaim, and it builds upon earlier
success with a modern UX, proactively avoiding incidents by providing insight across multiple data sets and a
preview of the change risk advisor. What does it mean to be competitive? It means bringing resources to bear that
level up your IT Operations team by leveling down the toil and getting ahead of problems before they even start.
Let's talk about artificial intelligence (AI). There's a lot of confusion about what "AI" actually means. In this case, I'll
be using the word AI to discuss some machine learning features and capabilities that are unique to IBM.
Market results demonstrate that with better AI, comes better outcomes. But how do you define "better"? In our case,
better is defined as ease of use and the patented technology behind the AI. Let's explore: No-code AI - putting
humans to work
A great competitive advantage for IBM Cloud Pak for Watson AIOps is the low-code engagement. Other AIOps
companies require deep data science resources to identify and select the right algorithms to use, which costs
extensive time and money.
May 19: SoftLayer Technologies : Why Cloud-Native Is Key to Faster Innovation and Your 5G Investment

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Fast innovation and the ability to deliver differentiated 5G services rely on cloud-native solutions driven by AI-
powered automation, security and scaling.
The exponential growth of network-connected devices is creating new service opportunities for Communications
Service Providers (CSPs). In parallel, 5G brings an order-of-magnitude improvement in bandwidth and latency.
An open horizontal architecture brings unconstrained innovation via an ecosystem of ISVs, allowing CSPs gain a
level playing field over OTT competitors. CSPs are also better equipped to provide connectivity-centric services
towards experience-based services.
Read this whitepaper to understand key considerations for faster innovation in a 5G world.
Cloud-native networking is one of the basic building blocks to build an open, horizontal telco cloud platform. Telco
edge solutions deliver low-latency services to enterprises that help you build intelligence from your data faster and
drive significant efficiency in data ingestion, storage and speed of inference analysis.
IBM, Red Hat and Juniper Networks have jointly committed to the realization of an open, cloud-native approach and
offer a horizontally integrated, multi-vendor telco cloud solution to monetize new 5G services.
May 19: SoftLayer Technologies : Using Cloud-Native and SRE Principles to Achieve Speed and Resiliency
Speed and innovation are crucial to the success of any business.
Being able to quickly innovate, test, validate and rapidly release is key for organizations who want to stay ahead of
their competition. At the same time, it is important to ensure that business-critical services have built-in resiliency,
performance and scalability.
Speed/innovation and resiliency are two sides of the same coin - customer confidence in the business. To achieve
this confidence, the mission-critical services should be built on cloud-native principles in combination with site
reliability engineering (SRE) principles.
The goal of this post is to examine the following:
What cloud-native is and how it ties to SRE What SRE is and how SRE practices can be part of the development
lifecycle How to measure SRE SRE organization and how to measure its effectiveness What SRE has to do with
artificial intelligence (AI) and machine learning (ML)
The following diagram shows how adopting cloud-native practices leads to SRE efficiency and earning customer
confidence. Let's dive into the flow: cn1 What is cloud-native? How does it relate to site reliability engineering
(SRE)?
Ask yourself or your colleagues for the meaning of cloud-native, as-as-Service or cloud-first.
May 19: SoftLayer Technologies : Manage Secrets in Continuous Delivery with IBM Cloud Secrets Manager
IBM Cloud Continuous Delivery has introduced support for IBM Cloud Secrets Manager in CI/CD toolchains.
Does the prospect of a security breach in your CI/CD processes keep you up at night? Is your DevOps team battling
to achieve regulatory compliance? Is your development team sharing secrets over Slack, post-it notes or text files?
Does your product include hard-coded secrets within source code or files? Are secret values committed into Git
repos? Are you unable to grant or revoke access to your secrets in a managed way? Is it impossible for your
organisation to rotate secrets in a repeatable way without breaking CI/CD processes due to secret proliferation and
sprawl?
If the answer is yes to any of these questions, then you're not alone in the DevOps space. However, if you are
serious about taking security to the next level, then the IBM Cloud Continuous Delivery service has tools to help you
minimise your risk and vulnerability exposure.
IBM Cloud Continuous Delivery has introduced support for IBM Cloud Secrets Manager in CI/CD toolchains and
pipelines to further bolster its secrets management tool integration capabilities. That's right, in addition to the existing
secrets management tool integration support for IBM Key Protect and HashiCorp Vault, you can make use of the
Secrets Manager tool integration for secrets in your CI/CD toolchains and pipelines.
May 17: SoftLayer Technologies : "Re-Thinking" Marketing Events: RainFocus Quickly Pivots to a Virtual Format on
the IBM Cloud(Registered)
The event team behind IBM Think, IBM's annual flagship event, was gearing up for another successful round in May

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2020, and everything was going according to plan.
Then the COVID-19 pandemic struck, and all plans came to an abrupt halt. It quickly became apparent that the IBM
Think event wasn't going to happen - at least not in a physical venue in San Francisco. Rather than cancel the event
entirely, the IBM and RainFocus teams made a bold decision to shift from an in-person format to a virtual one. The
catch? The event was a mere 46 days away.
Both teams went into action, working days, nights and weekends. Much of the technical preparation for the physical
event was close to complete. Many aspects had to be reworked. The race was on.
Read the full case study and learn how Think was scaled from 40,000 expected registrations for a physical event to
122,000 registrations for a virtual event in just 46 days! Source: Company Website
May 17: SoftLayer Technologies : Gartner Market Guide for AIOps: Essential Reading for ITOps and SRE
If you're a Site Reliability Engineer (SRE) or IT Operations (ITOps) professional, there's a good chance that your
organization is considering an investment in an AIOps solution to improve the analysis and insights across the
application lifecycle.
Obviously, an investment into an AIOps solution is significant and requires thorough analysis. Getting answers to
questions (like the ones below) is a first step towards making an informed decision:
What factors are driving the adoption of AIOps? Can an AIOps solution entirely address use cases like monitoring,
observability, incident remediation and application performance monitoring (APM)? Can my enterpr
Source: Company Website
May 13: SoftLayer Technologies : Making the Value of Hyperautomation a Reality
Hyperautomation is the automated handling of as many processes as possible to free worker time from routine
processes and repetitive tasks, allowing them to focus on more complex problems.
This focus on hyperautomation - or AI-powered Automation - began before the pandemic, which has now greatly
accelerated the impact of work-from-home, decentralized teams and new processes needed to continue business.
The challenge with today's hyperautomation landscape is that it's very fragmented, with approaches and automation
technologies far from standardized. Consultancies focus on automation transformation services to provide tooling
that can unify some of what's needed to drive hyperautomation, but "build-your-own" approaches can't drive full
insights that create business value.
Source: Company Website
May 13: SoftLayer Technologies : Using Cloud-Native Development as it Fits Your Business
Modernizing applications involves adopting the tools and practices of cloud-native development. It's a powerful
model that can deliver innovative user experiences with speed and run them reliably at scale. However, not every
application needs to be fully cloud-native. Refactoring a monolith into cloud-native microservices can be time-
consuming. To what degree is it needed for each of your applications? When is cloud-aware and cloud-ready
enough?
As distinct from a fully cloud-native application, a cloud-aware application can run on cloud in a way that meets your
business needs while making better economical and operational sense.
Source: Company Website
PermID: 5000780017
Created by www.buysellsignals.com for News Bites Finance

DETAILS

Subject: Access to information; Programming languages; Application programming interface;

User experience; Documentation; Teams; User behavior; Inventory; Software
services; Software development

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 Business indexing term: Subject: Inventory

Location: United States--US

Company / organization: Name: Softlayer Technologies Inc; NAICS: 541513

Publication title: News Bites - Private Companies; Melbourne

Publication year: 2021

Publication date: Jul 14, 2021

Publisher: News Bites Pty Ltd

Place of publication: Melbourne

Country of publication: Australia, Melbourne

Publication subject: Business And Economics

Source type: Wire Feed

Language of publication: English

Document type: News

ProQuest document ID: 2551051426

Document URL: http://0-search.proquest.com.pugwash.lib.warwick.ac.uk/wire-feeds/sdk-vs-api-whats-

difference/docview/2551051426/se-2?accountid=14888

Copyright: Copyright News B ites Pty Ltd Jul 14, 2021

Last updated: 2023-11-05

Database: ABI/INFORM Trade &Industry

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